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Article

Similarities and Differences in the Protein Composition of Cutaneous Melanoma Cells and Their Exosomes Identified by Mass Spectrometry

by
Magdalena Surman
1,
Urszula Jankowska
2,
Magdalena Wilczak
1,3 and
Małgorzata Przybyło
1,*
1
Department of Glycoconjugate Biochemistry, Institute of Zoology and Biomedical Research, Faculty of Biology, Jagiellonian University, 30-387 Krakow, Poland
2
Proteomics and Mass Spectrometry Core Facility, Malopolska Centre of Biotechnology, Jagiellonian University, 30-387 Krakow, Poland
3
Doctoral School of Exact and Natural Sciences, Jagiellonian University, 30-348 Krakow, Poland
*
Author to whom correspondence should be addressed.
Cancers 2023, 15(4), 1097; https://doi.org/10.3390/cancers15041097
Submission received: 21 December 2022 / Revised: 31 January 2023 / Accepted: 5 February 2023 / Published: 8 February 2023
(This article belongs to the Section Molecular Cancer Biology)

Abstract

:

Simple Summary

Proteins transferred by tumor-derived exosomes can contribute to cancer progression and/or constitute novel biomarkers of a given disease. Therefore, this study used shotgun nanoLC-MS/MS to obtain complete protein profiles of four cutaneous melanoma cell lines representing different stages of the disease and exosomes released by them. As a result, 3514 and 1234 unique proteins were identified in melanoma cells and exosomes, respectively. Specific alterations to the proteomic profiles associated with disease stages have also been reported, along with a conserved portion of their proteome that may be used by various tumor cells to promote their growth and dissemination. Such a description of the complex composition of cellular and exosomal protein and their related functions provides a deeper insight into the role of exosomes in melanoma progression. The obtained results also indicate some of the exosomal proteins that should be evaluated as potential biomarkers of circulating melanoma.

Abstract

Intercellular transport of proteins mediated by extracellular vesicles (EVs)—exosomes and ectosomes—is one of the factors facilitating carcinogenesis. Therefore, the research on protein cargo of melanoma-derived EVs may provide a better understanding of the mechanisms involved in melanoma progression and contribute to the development of alternative biomarkers. Proteomic data on melanoma-derived EVs are very limited. The shotgun nanoLC-MS/MS approach was applied to analyze the protein composition of primary (WM115, WM793) and metastatic (WM266-4, WM1205Lu) cutaneous melanoma cells and exosomes released by them. All cells secreted homogeneous populations of exosomes that shared a characteristic set of proteins. In total, 3514 and 1234 unique proteins were identified in melanoma cells and exosomes, respectively. Gene ontology analysis showed enrichment in several cancer-related categories, including cell proliferation, migration, negative regulation of apoptosis, and angiogenesis. The obtained results broaden our knowledge on the role of selected proteins in exosome biology, as well as their functional role in the development and progression of cutaneous melanoma. The results may also inspire future studies on the clinical potential of exosomes.

1. Introduction

The most aggressive form of skin cancer is malignant melanoma, which originates from transformed melanocytes, i.e., pigment cells of neuroectodermal origin. It is a multifactorial disease driven by both genetic and environmental factors. Melanoma accounts for about 4% of skin cancer cases, but it is responsible for about 75% of all related deaths. The incidence of primary cutaneous melanoma diagnosed annually worldwide has increased significantly over several decades, reaching approximately 325,000 new cases in 2020 and accounting for 1.7% of all cancers [1,2]. In addition, the mortality rate is still very high, reaching 57,000 new deaths in 2020 [2]. Despite the introduction of modern therapies for advanced stages [3,4,5], there is an urgent need to develop new effective treatment options for melanoma. Due to the fact that melanoma is characterized by a rapid growth rate and early metastases, it is also necessary to develop new, more effective diagnostic methods based on novel biomarkers.
Melanoma cells, as with any solid tumor, are surrounded by a wide variety of cells such as cancer-associated fibroblasts (CAFs), innate and adaptive immune cells, myofibroblasts, mesenchymal stem cells (MSCs), adipocytes, endothelial cells (ECs), and pericytes, as well as by an extracellular matrix (ECM), which together form the so-called tumor microenvironment (TME); all of these components are in dynamic interplay [6,7]. Cancer cells are known to act in a paracrine manner to remodel the tumor niche and regulate the interaction within the tumor microenvironment by secreting and/or inducing growth factors and cytokines, as well as releasing extracellular vesicles (EVs), to promote tumor expansion. Over the past few decades, EVs have attracted attention as an important means of communication for cancer cells due to their ability to transfer a diverse set of molecules such as proteins, lipids, RNA, DNA, and metabolites between cells [8,9,10,11,12,13]. Importantly, the molecular composition of the EV cargo reflects the pathophysiological state of the parental cell and is able to modify the biological processes of the target cell. EVs are defined as a heterogeneous population of nanoscale lipid-bilayer structures that are divided into three major groups (i.e., exosomes; ectosomes, also called microvesicles; and apoptotic bodies) based on their biogenesis, release pathways, size, and specific protein markers [14]. Bioavailability, ease of isolation, and a wide range of biological activity have made EVs the subject of numerous studies testing the possibility of their use for diagnostic, prognostic, and therapeutic purposes, as well as in the context of a better understanding of the mechanisms accompanying the progression of melanoma. The role of EVs in melanoma progression has recently been reviewed based on a large amount of data from proteomic and transcriptomic studies [15,16].
The aim of this LC-MS/MS-based study is a comprehensive proteomic comparison of primary and metastatic melanoma cells derived from the same donor and their exosomes to reveal qualitative and quantitative changes that occur with disease progression. In addition, the selective repertoires of proteins in the EV cargo, and especially the enrichment of a specific set of proteins depending on the stage of melanoma, is discussed in terms of functional implications in cancer and clinical relevance.

2. Materials and Methods

2.1. Materials

The following antibodies were used in this study: anti-CD9 mouse monoclonal primary antibodies (clone 4A2, cat. SAB1402143) and anti-CD63 mouse monoclonal primary antibodies (clone RFAC4, cat. CBL553) from Sigma-Aldrich (St. Louis, MO, USA), as well as Hsp70 (clone C92F3A-5, cat. sc-66048) and mouse monoclonal primary antibodies for Arf6 (clone 3A-1, cat. sc-7971) from Santa Cruz Biotechnology (Dallas, TX, USA). Other reagents were obtained as listed in [17].

2.2. Cell Lines and Culture Conditions

WM115/WM266-4 [18], WM793 [19]/WM1205Lu [20]—isogenic pairs (primary/metastatic) of CM cell lines obtained from the ESTDAB Melanoma Cell Bank (Tübingen, Germany)—were used for LC-MS/MS analysis and exosome isolation. Cells were cultured in standard conditions (5% CO2, 37 °C) in GlutaMAX-I RPMI 1640 medium with 10% FBS, penicillin (100 unit/mL), and streptomycin (100 μg/mL). After reaching 80% confluence, cell cultures were passaged or conditioned media was used for exosome isolation.

2.3. Isolation of Exosomes and Assessment of the Purity of the Exosome Samples

Before exosome isolation, CM cells were kept for 24 h in FBS-free media. Conditioned media were then collected (approx. 200 mL per exosome sample) and centrifuged. Through centrifugations at 400× g (5 min, 4 °C) and 4000× g (20 min, 4 °C), cells and cellular debris were removed; supernatants were then concentrated by a low-vacuum filtration (LVF) procedure described by Drożdż et al. [21]. Concentrated media (approx. 2 mL) were centrifuged three times: at 7000× g (20 min, 4 °C), 18,000× g (20 min, 4 °C), and 80,000× g (20 min, 4 °C), to remove any larger vesicles. The final centrifugation step was performed at 150,000× g (90 min, 4 °C) to obtain exosome pellets. Finally, exosomes were resuspended in ice-cold PBS or in a LC-MS/MS lysis buffer.
The purity of exosome samples was analyzed by nanoparticle tracking analysis (NTA) on NanoSight LM 10 (Malvern Panalytical, Malvern, UK). Five independent records were collected for each sample (10 μL diluted to 2 mL with PBS). The mean results ± SD are presented on graphs.
In addition, immunodetection of EV markers was performed. SDS-PAGE electrophoresis and WB (western blot) for each CM cell line and exosome sample were performed as described in [22]. The chosen markers were detected using anti-CD63 (1:2000), anti-CD9 (1:2000), anti-Hsp70 (1:2000), and anti-Arf6 (1:500) primary antibodies, and anti-mouse IgG-HRP (1:400) as a secondary antibody. Chemiluminescence-based detection was done using HRP substrates and ChemiDoc Imaging System (Bio-Rad, Hercules, CA, USA).

2.4. LC–MS/MS Proteomics

Exosome lysis, sample preparation for mass spectrometric analysis, and LC-MS/MS analysis were performed as described in [17,23] with minor modifications. Namely, the acetonitrile gradient on the analytical column was 240 min, and the flow rate was 250 nL/min. In addition, the Q-Exactive was operated using the top 12 method. Full-scan MS spectra were acquired with automatic gain control (AGC target) of 1 × 106, and the MS/MS spectra were acquired with an AGC target of 5 × 105. The maximum ion accumulation times for the full MS and the MS/MS scans were 120 ms and 60 ms, respectively.

2.5. Analysis of Proteomic Data

Raw mass spectra were processed using MaxQuant 2.0.3.1 [24]. Peak lists were searched against the forward and reverse Swissprot_database restricted to Homo sapiens taxonomy (20,376 sequences; downloaded on 5 May 2022) with the use of the integrated Andromeda search engine. Fully tryptic peptides with a maximum of two missed cleavages and with at least seven amino acids were treated as valid. Cysteine carbamidomethylation was set as a fixed modification, whereas variable modifications included methionine oxidation and protein N-terminal acetylation. The precursor mass tolerance in the first search used for mass recalibration was set to 20 ppm. The main search was performed with precursor and fragment mass tolerances of 4.5 ppm and 20 ppm, respectively. The maximum false discovery rate for both peptide and protein identification were set to 0.01. The MaxLFQ label-free algorithm using a minimum ratio count of 2 was used for relative quantification and normalization. Both razor and unique peptides were used for protein quantitation. Separate batches were used to analyze samples from cells and exosomes.
The raw data were deposited via the MassIVE repository to the ProteomeXchange Consortium with the dataset identifier PXD038861.
Further analysis was performed on the Perseus platform (version 2.0.7.0) [24]. All contaminants, the proteins from the decoy database, and proteins identified only by modified peptides were excluded from the study. Quantitative analysis was performed on label-free quantification (LFQ) intensities transformed to the logarithmic scale. The student’s t-test was then performed with the permutation-based FDR at 0.01 and 0.05 to reveal changes in the protein abundances between different melanoma cell lines and exosomes. Only proteins with at least three valid LFQ intensity values in both compared groups were considered for statistical analysis. Proteins identified by at least two peptides, score > 10, and with a fold change of at least 1.5 (for comparison between cells) or 1.2 (for comparison between exosomes) were considered as differential. Entire protein lists are provided in Supplementary Data S2. Complete quantitative analysis is provided in Supplementary Data S3.

2.6. Bioinformatic Analysis

The final protein lists contained proteins identified by at least two peptides in three or four out of four biological repetitions of cellular or exosome samples. Venn diagrams, including Vesiclepedia protein overlap, and gene ontology (GO) analysis were performed with FunRich 2.0 software using the UniProt (release 2022_11) database as a reference. For each GO term, six categories with the highest protein enrichment were presented as graphs. Additionally, enrichment within selected cancer-related categories (calculated as −log10(p-value)) was compared between CM cells and exosome samples from primary and metastatic cells. Entire protein lists and GO data are included in Supplementary Materials Data S1. Interaction diagrams from Appendix A and Supplementary Data S3 were prepared with the use of https://string-db.org/ (accessed on 2 December 2022) Version: 11.0.

3. Results

3.1. Characterization of CM Exosome Samples

In the present study, a complex exosome isolation protocol based on sequential centrifugation and low vacuum filtration (LVF) was applied [21]. Nanoparticle tracking analysis (NTA) showed that the final 150,000× g exosome pellets contained mostly <100-nm-diameter vesicles (typical range of exosomes), with less than 5% being >100-nm-diameter vesicles (Figure 1).
Additionally, enrichment of exosomal protein markers (CD9, CD63, and Hsp70) was confirmed in each exosome sample compared to whole-cell protein extracts (Figure 2). On the other hand, exosome samples were depleted of Arf6, the protein involved directly in ectosome biogenesis but not in exosome biogenesis. The evidence presented allows us to consider the isolated EV samples to be highly enriched in exosomes and the ectosome contamination to be negligible.

3.2. Identified Proteins of CM Cells and Exosomes and Their Functional Classification

Protein profiles for four CM cell lines and exosomes released by these cells were obtained using the gel-free nanoLC–MS/MS shotgun proteomic approach. Four biological replicates of each cellular/exosomal sample were analyzed, and only proteins identified in at least three replicates (and with at least two peptides) were considered for further analyses. Variability of protein detection across replicates was presented (Figure A1). A total of 3514 proteins were identified for all CM cell lines analyzed (Figure 3A, complete protein lists in Supplementary Data S2). In terms of individual cell lines, a greater number of proteins were identified for primary WM793 and WM115 cells compared to their isogenic metastatic equivalents, i.e., WM1205Lu and WM266-4 cells, respectively. In addition, 2114 proteins (approx. 60% of all identified proteins) were identified for all CM cell lines analyzed (Figure 3B). More than 70% similarity in protein composition was observed for all possible pairings of cell lines analyzed (Figure 3C–E). The greatest similarity was observed between isogenic pairs, i.e., WM115 and WM266-4 (83.3% of shared proteins), and WM793 and WM1205Lu (78.3% of shared proteins) cells, which can be attributed to their common genetic background.
A total of 1234 unique proteins were identified in CM-derived exosomes (Figure 4A, complete lists of proteins are given in Supplementary Data S2). Exosomes released by primary WM793 and WM115 cells were characterized by a greater number of identified proteins than their isogenic metastatic pairs—WM1205Lu and WM266-4, respectively. It is possible that metastatic cell lines retain more proteins (rather than secrete them) due to their overactive metabolism. Exosomes derived from primary WM115 cells had the highest number of proteins identified, 1067, while exosomes derived from metastatic WM1205Lu cells had the lowest number of proteins, 571. The number of unique proteins for a given exosome sample was between 19 (WM1205Lu-derived exosomes) and 264 (WM115 exosomes). In contrast, 417 proteins were identified in exosomes from all CM cell lines (Figure 4B), accounting for 33.8% of all identified exosomal proteins compared to approximately 60% for cell-derived samples. The highest similarity of the proteome was observed between exosomes derived from two primary cell lines, i.e., WM793 and WM115 (61.2%), and the lowest for WM1205Lu and WM115 exosomes (45.7%) (Figure 4C–E). In addition, the similarity was high for exosomes of metastatic origin (WM1205Lu and WM266-4), i.e., 57.7%. This suggests that the protein composition of exosomes may be more dependent on the disease stage than on the genetic background of the parental cell (which was observed for CM cell samples). Additionally, all proteins identified in exosome samples were searched against the Vesiclepedia database (Figure 4F), which collects proteomic data from multiple EV-oriented studies. There was a significant overlap between the proteins identified in the present study and the Vesiclepedia dataset. which supports their vesicular origin instead of being part of cell-derived contamination.
Furthermore, the proteomes of CM cells and exosomes were compared (Figure 5). For each cell line, from ca. 17% to almost 30% of their proteins were also identified in exosomes. This suggests that the sorting of protein into exosomes is a highly regulated process involving only a very specific set of proteins. On the other hand, between 16% to 20% of proteins identified in exosome samples were not identified in cells. Since exosomal proteins must be derived from the cell, the lack of identification in CM cells may be due to their low abundance in total cellular proteomes and sufficient enrichment in exosomes.
Gene ontology (GO) analysis was then performed to group proteins identified in CM cells and exosomes by the cellular compartment, molecular function, and biological processes. The six categories with the highest statistical significance of protein enrichment within the category (p < 0.001) were selected for each analysis. Complete protein lists are shown in Supplementary Data S2. Similar GO patterns were observed for each CM cell line (Figure 6). The most numerous groups of proteins were associated with the cytoplasm (up to 62.7% of identified proteins). Moreover, up to 34.5% of proteins identified in CM cells were connected to exosomal origin. GO analysis of molecular function showed that the identified proteins were mainly associated with catalytic (up to 6.2%) or transporter activity (up to 5.9%), and RNA binding (up to 6.1%). A significant abundance of structural proteins were also identified. Furthermore, the analysis of the biological function of cellular proteins pointed out that identified proteins are mostly involved in metabolism, especially protein metabolism, and in various energy pathways.
GO analysis of CM-derived exosomal proteins showed that up to 73.6% of the identified proteins had exosomal origin and up to 67.1% were associated with the cytoplasm (Figure 7). This observation is consistent with exosome biogenesis, which involves blebbing of endosomal membranes and creating multivesicular bodies, which later fuse with the cell membrane and give rise to exosomes. In addition, GO analysis for the molecular function revealed the greatest enrichment in categories such as GTPase, chaperone, and translation regulatory activity. CM exosomal proteins function as structural constituents of ribosomal and extracellular matrices. In terms of biological processes, the proteins identified were involved in cell communication (over 23%), signal transduction (over 24%), protein metabolism (over 18%), and cell growth and/or maintenance (over 13%). Metastatic WM266-4- and WM1205Lu-derived exosomes showed higher enrichment in several categories than their primary counterparts, including cell growth and/or maintenance, cell communication, signal transduction, GTPase activity, etc. This may reflect higher prometastatic potential compared to exosomes from primary cells.

3.3. Functional Similarities and Differences in the Protein Composition of CM Cells and CM-Derived Exosomes

An increasing number of studies are focusing on the role of EVs in various diseases, including cancer. Tumor-derived EVs facilitate the transfer of biologically active molecules that can regulate the function of the recipient cell at various levels. To gain insight into how CM-derived exosomes might affect recipient cells, GO analysis was performed using the lists of all proteins identified in CM cells (3514 proteins) and CM-derived exosomes (1234 proteins). Selected cancer-related GO categories and their enrichment significance score (i.e., −log10(p-value)) were presented in Figure 8.
Considering categories with p < 0.001, the analyzed CM cells were enriched in proteins related to antigen processing and presentation, negative regulation of apoptosis, platelet aggregation, and glycolysis. All these processes are enhanced in cancer cells, which tend to avoid immune surveillance, escape apoptosis, and contribute to the prothrombotic state, as well as rely on aerobic glycolysis for ATP generation. Numerous other categories for CM cells included several signaling pathways, i.e., the NIK/NF-kappaB pathway, the Wnt pathway, the tumor necrosis factor-mediated pathway, and the vascular endothelial growth factor receptor (VEGFR) signaling pathway. These are all known to be altered in cancer and involved in key steps in the metastatic cascade, such as angiogenesis.
Since exosomes (and other EVs) largely reflect the composition of parental cells, CM-derived exosomes isolated in the present study also showed enrichment in selected cancer-related GO categories. Notably, for most categories, enrichment was more significant for CM-derived exosomes than for CM cells. This includes categories that were not enriched (p > 0.001) for CM cells, such as cell growth, cell adhesion, cell migration, response to hypoxia, blood coagulation, or angiogenesis. In addition, CM-derived exosomes showed enrichment in categories related to immune cell migration, suggesting their involvement in the modulation of the immune response against melanoma tumors. Finally, the GO category “drug response” was enriched for CM-derived exosomes, indicating their possible role in the phenomenon of multidrug resistance.
To characterize the changes in the cellular and exosomal proteome that occur during disease progression, the proteins identified in CM cells and CM-derived exosomes were qualitatively and quantitively compared within isogenic pairs (same donor) of cell lines (that is, WM793 vs. WM1205Lu and WM115 vs. WM266-4, respectively). Table 1 lists the proteins that were identified by all four replicates in WM793 (79 proteins) but not in 1205 Lu cells and vice versa (38 proteins). Smaller discrepancies in the number of unique proteins were observed for WM115 and WM266-4 cells, i.e., 31 and 40 proteins, respectively (Table 2). Considering exosomes, 58 proteins were identified in WM793-derived exosomes but not in WM1205Lu-derived exosomes, with only two proteins unique to WM1205Lu-derived exosomes (Table 3). Similarly for the second isogenic pair, exosomes derived from WM115 cells contained more unique proteins (79 proteins) than exosomes derived from WM266-4 (34 proteins) (Table 4). This suggests that as the disease progresses, tumor cells tend to sort fewer proteins into exosomes, possibly to preserve/increase their own metastatic potential. Another possibility is that metastatic cells sort fewer proteins into exosomes but increase the abundance of proteins crucial for cancer progression.
In addition, the STRING v. 11.0 platform was used to prepare diagrams of functional protein association networks for proteins unique to given CM cell lines. The unique proteins from WM793 cells were shown to be enriched in, among others, the PPAR signaling pathway and vitamin D receptor pathway proteins (Figure A2). In the case of WM1205Lu cells, a unique protein enrichment in proteins with a Pleckstrin homology domain (PH domain) was observed (Figure A3). The PH domain is a protein domain found in many proteins involved in intracellular signaling or as components of the cytoskeleton. The unique proteins from WM115 cells were enriched in proteins related to the MHC class II protein complex responsible for presenting tumor antigens to the immune system (Figure A4). This corresponds to the primary character of WM115 cells, when the cells are not yet completely out of immune surveillance, as in the later stages of the disease. Finally, no enriched categories were found for the unique WM266-4 proteins.
Similar STRING diagrams were prepared for exosomal proteins. Proteins present in WM793-derived exosomes but absent in WM1205Lu-derived exosomes were enriched in proteins related to signaling receptor binding and mRNA processing (Figure A5). As only two proteins are unique for WM1205Lu, a similar analysis could not be performed. Furthermore, proteins identified in WM115-derived exosomes but absent in WM266-4-derived exosomes showed enrichment in categories related to cell adhesion molecule binding, RNA binding, translation, and peptide metabolic processes (Figure A6). For proteins identified in WM266-4-derived exosomes but absent in WM115-derived ones, similar generic categories were enriched, i.e., extracellular matrix structural constituent, extracellular matrix organization, glycosaminoglycan binding, and cell adhesion (Figure A7).
Label free quantification (LFQ) was also performed to determine differentially expressed proteins within isogenic pairs of CM cell lines and CM-derived exosomes. Proteins with fold change > 1.5 were considered upregulated in CM cells (p < 0.001), while for exosomes, a fold change of >1.2 and p < 0.05 were applied as threshold values. In summary, 243 proteins were upregulated in WM793 cells compared to WM1205Lu cells, and 185 were upregulated in WM1205Lu cells compared to WM793 cells. For the second isogenic pair of CM cell lines, WM115 cells contained 116 proteins that were upregulated compared to WM226-4 cells, while 160 proteins were found to be upregulated in WM266-4 compared to WM115 cells. Regarding exosomes, no differences in protein expression were observed between the proteins common to WM793-derived and WM1205Lu-derived exosomes. However, a total of 322 proteins were upregulated in WM115-derived exosomes compared to WM266-4-derived exosomes, while 77 proteins were upregulated in WM266-4-derived exosomes compared to WM115-derived exosomes. In summary, the ten proteins with the highest fold change for CM cell lines and exosomes are listed in Table 5, while the entire LFQ analysis is presented in Supplementary Data S3.
The entire lists of upregulated proteins were later subjected to STRING analysis. For proteins upregulated in CM cell lines, the enriched categories included quite generic terms related to cell metabolism, cell adhesion, or RNA binding (Figure A8, Figure A9, Figure A10 and Figure A11). Interestingly, proteins upregulated in primary melanoma WM793 cells (compared to WM1205Lu cells) were enriched in the category of “abnormality of acid-base homeostasis”. This may be related to tumor acidosis, which often occurs within growing primary tumors until they develop a vascular network that increases the oxygen supply and restores normal pH levels. Regarding angiogenesis, proteins upregulated in WM266-4 cells were enriched in proteins involved in the vascular endothelial growth factor A/vascular endothelial growth factor receptor 2 (VEGFA-VEGFR2) signaling pathway. Signaling via VEGF induces the migration of endothelial cells during angiogenesis and may enhance microvascular permeability during tumor metastasis. Proangiogenic proteins were also upregulated in WM115-derived exosomes (category “VEGFA-VEGFR2 signaling pathway”) and WM266-4-derived exosomes (category “Tube development”) (Figure A12 and Figure A13). This suggests that exosomes released by primary tumor cells may be involved in proangiogenic signaling during the induction of angiogenesis. On the other hand, exosomes released by a metastatic tumor may contain proteins involved in the later stages of blood vessel formation such as sprouting or vessel maturation.

4. Discussion

4.1. CM-Derived Exosomes Are Enriched in Proteins with Functional Implications in Cancer

An increasing amount of evidence confirms that CM-derived exosomes increase the invasive potential of various recipient cells and drive the metastatic spread of melanoma tumors. An increased invasiveness after treatment with CM-derived exosomes was already demonstrated for melanocytes [25] as well as bone marrow-derived stromal cells [26]. Consequently, in the present study, CM-derived exosomes were more enriched in proteins involved in positive regulation of cell migration than CM cells (Figure 8) based on GO analysis. It suggests that proteins with a promigratory function are preferentially sorted into exosomes by CM cells.
Spreading of CM cells is connected to the activity of matrix metalloproteinases (MMPs), and positive correlation between the concentration of exosomes, the number of lytic enzymes in their cargo, and their pro-invasive capabilities have been demonstrated [27,28]. CM-derived EVs have already been shown to carry several MMPs and their endogenous activator CD147 [29,30,31,32,33]. In the present study, MMP1 was identified only in WM793 cells, while MMP14 was found in WM266-4 cells and all exosome samples except WM1205Lu-derived exosomes. In contrast, CD147 and other tissue inhibitors of MMPs (TIMP1, TIMP2, TIMP3) were present in all exosome samples, suggesting that CM exosomes may not always transfer MMPs but that they have a regulatory role towards MMP activity.
Regarding proteins involved in CM metastasis, c-Met and Rab27a proteins were shown to be transferred via exosomes [34,35], and the knockdown of Rab27a decreased invasiveness and metastasis of CM cells as well as exosome secretion [34]. A more recent proteomic study revealed enrichment of CM-derived exosomes in proteins belonging to the prometastatic NRAS, SRC, KIT, EGFR, and MET signaling pathways [36]. In the present study, Rab27 was identified in WM115 and WM266-4 cells, but it did not appear in exosome samples. On the other hand, Src kinase, NRAS GTPase, and the epidermal growth factor receptor (EGFR) were identified in all exosome samples, but only Src kinase was identified in CM cells. The abundance of NRAS and EGFR in CM cells may not be high enough for them to be identified among more abundant cellular proteins. Furthermore, NRAS and EGFR are likely to be enriched in CM-derived exosomes, demonstrating their role in providing key players in prometastatic signaling pathways.
In addition, there is substantial evidence that CM-derived exosomes may contribute to organotropisms during CM metastatis. Several in vivo studies have reported the involvement of CM exosomes in the organ-specific formation of secondary tumors in the lungs [37], bone [38], and sentinel lymph nodes [39]. CM-derived exosomes may also contribute to the formation of brain metastasis. Using a biomimetic blood-brain barrier (BBB) model (co-culture of brain microvascular endothelial cells, astrocytes, and microglial cells), CM-derived exosomes have been shown to induce endothelial damage, disrupt BBB integrity, and induce glial activation [40]. Finally, CM-derived exosomes upregulated proteins from the MAPK signaling pathway in primary melanocytes to induce epithelial-mesenchymal transition (EMT) and promote the metastatic phenotype [41]. In the present study, MAPK1, MAPK2, MAPK3, and MAPK14 were identified in CM cells, while MAPK1 and MAP4K4 were present in most of the CM-derived exosome samples.
Exosomes also participate in the delivery of proangiogenic factors or increase their expression in recipient cells. A study by Hood et al. showed that CM-derived exosomes induce the formation of endothelial spheroids [42]. Another study showed that CM cells release exosomes enriched in interleukin 8 (IL-8), vascular endothelial growth factor (VEGF), MMP2, and IL-6 [43]. CM-derived exosomes containing the urokinase plasminogen activator receptor (uPAR) were shown to promote angiogenesis in recipient endothelial cells by upregulating VE-Cadherin, EGFR, and uPAR expression, and enhancing ERK1,2 signaling [44]. Alternatively, activation of the JAK-STAT pathway and enhanced angiogenesis were observed in endothelial cells after treatment with CM-derived exosomes [45]. In the present study, CM-derived exosomes were more enriched in proteins involved in angiogenesis than CM cells (Figure 8), including proteins from the VEGF signaling pathway. However, no VEGF was found in any sample. Instead, other proangiogenic factors were identified in both CM cells and CM-derived exosomes such as neuropilin 1, annexin A2, or integrin subunits (α5, αV).
CM-derived exosomes can also induce lymphangiogenesis and thus contribute to lymph-node metastasis [46,47]. Potential mechanisms include ERK kinase induction, nuclear factor (NF)-κB activation, and increased expression of intracellular adhesion molecule (ICAM)-1 expression in lymphatic endothelial cells [47]. Importantly, it has been shown that exosomal transfer of the nerve growth factor receptor is responsible for the aforementioned effects. In the present study, NGFR was identified in WM115 exosomes, supporting the hypothesis that primary melanoma tumors may release NGFR-containing exosomes to enhance formation of lymph-node metastasis.
In addition to endothelial cells, exosomes can modulate the function of other cells present in the tumor microenvironment such as fibroblasts and immune cells. In a recent study, cancer-associated fibroblasts were activated by the CM-derived exosomes to a greater degree than normal fibroblasts for the transcription of genes for proinflammatory cytokines and chemokines, mainly IL-6 or IL-8 [48]. CM exosomes can also induce proinflammatory polarization and activation of macrophages [49,50]. They can also impair the function [51,52] or induce apoptosis [46] of CD8+ cytotoxic T-cells to locally suppress anti-tumor cytotoxicity. On the other hand, CM exosomes can directly activate CD4+ helper T-cells through the transfer of miR690 and Rab27a [53]. Finally, CM exosomes were shown to reduce the differentiation of bone marrow-derived dendritic cells [54]. In the present study, multiple GO categories related to immune response were enriched for CM cells and CM-derived exosomes. Specifically, CM exosomes were enriched in proteins involved in leukocyte and neutrophil migration (Figure 8). This suggests the involvement of CM-derived exosomes in either enhancing or inhibiting the influx of immune cells into melanoma tumors and the subsequent immune response.

4.2. Clinical Relevance of Proteins Identified in CM-Derived Exosomes

It has been shown that the number and/or composition of exosome proteins changes when the parental cell undergoes neoplastic transformation. Cancer cells are known to secrete more exosomes than normal cells, so there is an interest in using exosome concentration as a biomarker. A significantly higher concentration of released exosomes was observed for CM cells compared to normal melanocytes [25], and for metastatic CM cells compared to primary CM cells [55]. However, in the present study, NTA showed a rather similar concentration of exosomes in samples from four CM cell lines (approx. 5 × 107 particles/mL) after taking equal volumes of conditioned media for exosome isolation. This suggests that sole exosome concentration may not be a good indicator of disease stage, as opposed to being a marker of disease occurrence.
Currently, lactate dehydrogenase A (LDH) or S100 calcium binding protein B (S100B) are the two most important clinical markers of CM. Serum levels of S100B increase with tumor growth and are used to monitor patients in advanced stages of the disease [56,57]. In the present study, S100B was identified in all CM cell samples and in exosomes derived from WM793 and WM115 cells. The lack of S100B in exosomes derived from metastatic WM1205Lu and WM266-4 cells may be potentially useful in discriminating between primary and metastatic CM. Interestingly, in our previous study, S100B was present in ectosomes from all CM cell lines, regardless of disease stage [33]. This suggests that the diagnostic target for S100B protein should not be ectosomes but rather exosomes. Finally, all CM cell and CM exosome samples contained LDH, which is now being used in clinical practice as a predictor of CM patient survival [58].
Recently, EV-oriented studies have moved forward in the CM biomarker field. First, the levels of MET, dopachrome tautomerase (TYRP2), integrin α4β1 (VLA-4), Hsp-90, and Hsp-70 were found to be upregulated in plasma-derived exosomes of CM patients compared to healthy controls [34]. In the present study, Hsp-90, Hsp-70, and α4 integrin subunits were identified in all samples, while TYRP2 was found only in WM115 and WM266-4 cells. Nevertheless, none of these proteins displayed differential expression based on LFQ; therefore, their biomarker potential needs further evaluation. Other studies have shown increased levels of CD63 tetraspanin in exosomes from both CM cell cultures (compared to normal cells) [59] and plasma of CM patients (compared to healthy controls) [60]. However, in the present study, CD63 expression was not significantly different between samples. Exosomes can also be isolated from less obvious sources, such as fluid from lymphatic drainage of melanoma tumors. It was shown that such exosomes are enriched in B-raf protein with V600E mutation, and its level was correlated with the risk of disease recurrence [61]. Here, B-raf protein was identified in samples from all CM cells, but it was not detected in CM-derived exosomes, possibly due to the source of isolated EVs.
Exosomal proteins are also potential biomarkers of treatment response. In melanoma patients responding positively to treatment with nivolumab and pembrolizumab (combination of antibodies against programmed cell death protein 1/programmed cell death protein ligand 1 (PD1/PD-L1)), a significant decrease in exosomal PD-L1 expression was observed [62,63]. In the present study, neither PD1 nor PD-L1 was identified in CM cells and exosomes. However, several immunosuppressive proteins from the family of programmed cell death protein were identified in CM cells, such as PD3, PD5, PD6, PD10, PD11, and PD4—a potent inhibitor of neoplastic transformation. On the other hand, CM-derived exosomes (besides the WM115-derived sample) contained only PD6 and PD10, suggesting that this group of proteins is not preferentially carried by exosomes. In addition, exosomal CD73 ectonucleotidase (producing adenosine—suppressor of T-cell function) has been found to increase in CM patients unresponsive to treatment with anti-PD-1 agents [64]. In addition, Pietrowska et al. identified 75 proteins upregulated in plasma-derived exosomes from CM patients with progressive disease compared with patients showing no evidence of CM after therapy. Programmed cell death 6-interacting protein (PDCD6IP) showed the highest upregulation in exosomes from patients with disease progression, while contactin-1 (CNTN1) was upregulated in exosomes from patients in remission [65]. CD73 and PDCD6IP were also present in all exosome samples in the present study, demonstrating their potential as a treatment response biomarker in CM.
Further biomarker targets were selected by meta-analysis of exosome-enriched proteins from CM cells based on the Prognoscan database [55]. The study identified 11 targets significantly correlated with metastasis and poor prognosis [55]. Seven of these 11 proteins—i.e., GTPase HRas (HRAS), neutral alpha-glucosidase AB (GANAB), cofilin-2 (CFL2), Hsp90B1, hypoxia upregulated protein 1 (HYOU1), gelsolin (GSN), and TIMP3—were identified in all CM cells and exosome samples in the present study. Interestingly, GTPase NRas (NRAS) and HspA5 were only found in exosome samples, and their enrichment in CM-derived exosomes vs. cells should become the subject of further investigation. Regarding LFQ analysis (Table 5), it was found that GSN was upregulated in WM266-4 cells compared to WM115 cells, while TIMP3 was upregulated in WM1205Lu cells vs. WM793 cells. On the other hand, HRAS, CFL2, Hsp90B1, Hsp90AB1, HYOU1, and HspA5 were all upregulated in WM115-derived exosomes compared to WM266-4-derived exosomes.
Finally, a qualitative and quantitative comparison of CM cells and CM-derived exosomes in isogenic pairs of cell lines (WM793 vs. WM1205Lu and WM115 vs. WM266-4) revealed many more potential targets for protein biomarkers than mentioned in Section 4. This includes unique proteins (Table 1, Table 2, Table 3 and Table 4) or proteins with differential expression (Table 5). Focusing on CM-derived exosomes, differentially expressed proteins were identified only between WM115-derived and WM266-4-derived exosomes. Among proteins with the greatest fold change (Table 5), there are several with well-known implications in melanoma progression. For example, annexin A1 (upregulated in WM115-derived exosomes) is a known promoter of primary melanoma tumor dissemination, mainly by inhibiting E-cadherin expression [66,67]. Additionally, A-kinase anchor protein 12 (upregulated in WM115-derived exosomes) shifts PKA-mediated protein phosphorylation to increase CM cell migration and metastasis [68]. Regarding proteins upregulated in WM266-4-derived exosomes, tenascin mediates protective signals in therapy-resistant melanomas by downregulation of multiple ATP-binding cassette transporters [69]. Therapeutically, upregulation of adipocyte enhancer-binding protein 1 (also upregulated in WM-266-4-derived exosomes) has also been shown to contribute to resistance to BRAF (V600E) inhibition in the treatment of melanoma [70]. Finally, semaphorin 5A is known to regulate melanoma cell migration and invasion, and angiogenesis [71,72].
Nevertheless, larger preclinical and clinical trials are required to further validate any novel CM biomarker identified in exosomes in vitro. The clinical potential of exosomes is based on the development of efficient isolation protocols. Such protocols must provide highly concentrated, uncontaminated EV samples, optimally preserving the native form and function. Based on the promising results from the present study, the search for biomarkers for CM should continue. Similar high-throughput proteomic approaches could help overcome the current lack of effective diagnostic and prognostic tools.

5. Conclusions

Despite advances in diagnostics and treatment, patients with CM still face a poor prognosis. Specific alterations to the proteomic profiles of CM cell lines representing different stages of disease and exosomes derived from those cell lines were reported in the present study. In addition to these unique features of CM cells and exosomes, a conserved part of their proteome was also described, which can be used by various tumor cells to promote their growth and dissemination. Our description of the complex composition of cellular and exosomal proteins and their related functions provides deeper insight into the role of exosomes in CM progression.
Our results also point to some of the exosomal proteins to be evaluated as potential circulating CM biomarkers. This includes the most commonly used CM markers such as LDH and S100B. Additionally, all unique proteins (Table 3 and Table 4) or proteins with the most differential expression between exosomes from primary and metastatic CM cells (Table 5)—such as annexin A1 [66,67], A-kinase anchor protein 12 [68], tenascin [69], adipocyte enhancer-binding protein 1 [70], and semaphorin 5A [71,72]—should be evaluated. In addition, some proteins with biomarker potential assessed by other groups were also detected in CM exosomes in the present study. This includes proteins with diagnostic potential (α4β1 integrin, Hsp-90, and Hsp-70 [34]) or those that can discriminate patients at different stages (GTPase HRas, cofilin-2, hypoxia upregulated protein 1, Hsp90B1, Hsp90AB1, and HspA5 [55]). Finally, exosomal CD73 [64] and PDCD6IP [65] appear to be promising potential treatment response biomarkers in CM.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/cancers15041097/s1, Supplementary Data S1: Original Blots; Supplementary Data S2: Proteins lists/Gene Ontology Results; Supplemenatary Data S3: LFQ analysis of identified proteins/Interactome Diagrams.

Author Contributions

M.P. conceived the idea, planned the research, and supervised the project. M.S. and M.W. carried out the cell culture, exosome isolation, and performed WB and NTA experiments. U.J. performed LC-MS/MS experiments. M.S., U.J., M.P. and M.W. performed data analysis. M.S., M.W. and M.P. wrote the manuscript and prepared the figures. All authors discussed the results, aided in their interpretation, commented on the manuscript, and approved its final version. All authors have read and agreed to the published version of the manuscript.

Funding

The research was funded by the BioS Priority Research Area under the program “Excellence Initiative—Research University” at the Jagiellonian University in Krakow (U1U/P03/DO/64.22).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

MS/MS data are available via ProteomeXchange with identifier PXD038861.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

CMCutaneous Melanoma
EVExtracellular Vesicles
LC–MS/MSLiquid Chromatography and Mass Spectrometry
NTANanoparticle Tracking Analysis

Appendix A

Figure A1. Venn diagrams illustrating the number of proteins shared between biological replicates of given CM cell (A) and ectosome (B) samples.
Figure A1. Venn diagrams illustrating the number of proteins shared between biological replicates of given CM cell (A) and ectosome (B) samples.
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Figure A2. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins identified in WM793 cells but not found in any replicates of WM1205Lu cells. The selected, strongly represented pathways are presented as an interactome. A complete analysis is presented in Supplementary Data S3.
Figure A2. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins identified in WM793 cells but not found in any replicates of WM1205Lu cells. The selected, strongly represented pathways are presented as an interactome. A complete analysis is presented in Supplementary Data S3.
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Figure A3. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins identified in WM1205Lu cells but not found in any replicates of WM793 cells. The selected, strongly represented pathways are presented as an interactome. A complete analysis is presented in Supplementary Data S3.
Figure A3. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins identified in WM1205Lu cells but not found in any replicates of WM793 cells. The selected, strongly represented pathways are presented as an interactome. A complete analysis is presented in Supplementary Data S3.
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Figure A4. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins identified in WM115 cells but not found in any replicates of WM266-4 cells. The selected, strongly represented pathways are presented as an interactome. A complete analysis is presented in Supplementary Data S3.
Figure A4. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins identified in WM115 cells but not found in any replicates of WM266-4 cells. The selected, strongly represented pathways are presented as an interactome. A complete analysis is presented in Supplementary Data S3.
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Figure A5. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins identified in WM793-derived exosomes cells but not found in any replicates of WM1205Lu exosomes. The selected, strongly represented pathways are presented as an interactome. A complete analysis is presented in Supplementary Data S3.
Figure A5. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins identified in WM793-derived exosomes cells but not found in any replicates of WM1205Lu exosomes. The selected, strongly represented pathways are presented as an interactome. A complete analysis is presented in Supplementary Data S3.
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Figure A6. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins identified in WM115-derived exosomes but not found in any replicates of WM266-4-derived exosomes. The selected, strongly represented pathways are presented as an interactome. A complete analysis is presented in Supplementary Data S3.
Figure A6. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins identified in WM115-derived exosomes but not found in any replicates of WM266-4-derived exosomes. The selected, strongly represented pathways are presented as an interactome. A complete analysis is presented in Supplementary Data S3.
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Figure A7. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins identified in WM266-4-derived exosomes but not found in any replicates of WM115-derived exosomes. The selected, strongly represented pathways are presented as an interactome. A complete analysis is presented in Supplementary Data S3.
Figure A7. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins identified in WM266-4-derived exosomes but not found in any replicates of WM115-derived exosomes. The selected, strongly represented pathways are presented as an interactome. A complete analysis is presented in Supplementary Data S3.
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Figure A8. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins upregulated in WM793 cells vs. WM1205Lu cells. The selected, strongly represented pathways are presented as an interactome. Proteins with fold change > 1.5 were considered upregulated in WM793 cells (p < 0.001). A complete analysis is presented in Supplementary Data S3.
Figure A8. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins upregulated in WM793 cells vs. WM1205Lu cells. The selected, strongly represented pathways are presented as an interactome. Proteins with fold change > 1.5 were considered upregulated in WM793 cells (p < 0.001). A complete analysis is presented in Supplementary Data S3.
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Figure A9. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins upregulated in WM1205Lu cells vs. WM793 cells. The selected, strongly represented pathways are presented as an interactome. Proteins with fold change > 1.5 were considered upregulated in WM1205Lu cells (p < 0.001). A complete analysis is presented in Supplementary Data S3.
Figure A9. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins upregulated in WM1205Lu cells vs. WM793 cells. The selected, strongly represented pathways are presented as an interactome. Proteins with fold change > 1.5 were considered upregulated in WM1205Lu cells (p < 0.001). A complete analysis is presented in Supplementary Data S3.
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Figure A10. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins upregulated in WM115 cells vs. WM266-4 cells. The selected, strongly represented pathways are presented as an interactome. Proteins with fold change > 1.5 were considered upregulated in WM115 cells (p < 0.001). A complete analysis is presented in Supplementary Data S3.
Figure A10. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins upregulated in WM115 cells vs. WM266-4 cells. The selected, strongly represented pathways are presented as an interactome. Proteins with fold change > 1.5 were considered upregulated in WM115 cells (p < 0.001). A complete analysis is presented in Supplementary Data S3.
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Figure A11. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins upregulated in WM266-4 cells vs. WM115 cells. The selected, strongly represented pathways are presented as an interactome. Proteins with fold change > 1.5 were considered upregulated in WM266-4 cells (p < 0.001). A complete analysis is presented in Supplementary Data S3.
Figure A11. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins upregulated in WM266-4 cells vs. WM115 cells. The selected, strongly represented pathways are presented as an interactome. Proteins with fold change > 1.5 were considered upregulated in WM266-4 cells (p < 0.001). A complete analysis is presented in Supplementary Data S3.
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Figure A12. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins upregulated in WM115-derived exosomes vs. WM266-4-derived exosomes. The selected, strongly represented pathways are presented as an interactome. Proteins with fold change > 1.2 were considered upregulated in WM266-4 cells (p < 0.05). A complete analysis is presented in Supplementary Data S3.
Figure A12. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins upregulated in WM115-derived exosomes vs. WM266-4-derived exosomes. The selected, strongly represented pathways are presented as an interactome. Proteins with fold change > 1.2 were considered upregulated in WM266-4 cells (p < 0.05). A complete analysis is presented in Supplementary Data S3.
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Figure A13. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins upregulated in WM266-4-derived exosomes vs. WM115-derived exosomes. The selected, strongly represented pathways are presented as an interactome. Proteins with fold change > 1.2 were considered upregulated in WM266-4 cells (p < 0.05). A complete analysis is presented in Supplementary Data S3.
Figure A13. Diagram of functional protein association networks prepared with the use of STRING v. 11.0 software for proteins upregulated in WM266-4-derived exosomes vs. WM115-derived exosomes. The selected, strongly represented pathways are presented as an interactome. Proteins with fold change > 1.2 were considered upregulated in WM266-4 cells (p < 0.05). A complete analysis is presented in Supplementary Data S3.
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References

  1. Karimkhani, C.; Green, A.C.; Nijsten, T.; Weinstock, M.A.; Dellavalle, R.P.; Naghavi, M.; Fitzmaurice, C. The global burden of melanoma: Results from the Global Burden of Disease Study 2015. Br. J. Dermatol. 2017, 177, 134–140. [Google Scholar] [CrossRef]
  2. Sung, H.; Ferllay, J.; Siegel, R.L.; Laversanne, M.; Soerjomataram, I.; Jemal, A.; Bray, F. Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2021, 71, 209–249. [Google Scholar] [CrossRef]
  3. Wróbel, S.; Przybyło, M.; Stępień, E. The clinical trial landscape for melanoma therapies. J. Clin. Med. 2019, 8, E368. [Google Scholar] [CrossRef]
  4. Sabag, N.; Yakobson, A.; Retchkiman, M.; Silberstein, E. Novel biomarkers and therapeutic targets for melanoma. Int. J. Mol. Sci. 2022, 23, 11656. [Google Scholar] [CrossRef]
  5. Switzer, B.; Puzanov, I.; Skitzki, J.J.; Hamad, L.; Ernstoff, M.S. Managing metastatic melanoma in 2022: A clinical review. JCO Oncol. Pract. 2022, 18, 335–351. [Google Scholar] [CrossRef] [PubMed]
  6. Mancini, S.J.C.; Balabanian, K.; Corre, I.; Gavard, J.; Lazennec, G.; Le Bousse-Kerdilès, M.-C.; Louache, F.; Maguer-Satta, V.; Mazure, N.M.; Mechta-Grigoriou, F.; et al. Deciphering tumor niches: Lessons from solid and hematological malignancies. Front. Immunol. 2021, 12, 766275. [Google Scholar] [CrossRef]
  7. Murgai, M.; Giles, A.; Kaplan, R. Physiological, tumor, and metastatic niche: Opportunities and challenges for targeting the tumor microenvirinment. Crit. Rev. Oncog. 2015, 20, 301–314. [Google Scholar] [CrossRef]
  8. Hoshino, A.; Costa-Silva, B.; Shen, T.-L.; Rodrigues, G.; Hashimoto, A.; Tesic Mark, M.; Molina, H.; Kohsaka, S.; Di Giannatale, A.; Ceder, S.; et al. Tumour exosome integrins determine organotropic metastasis. Nature 2015, 527, 329–335. [Google Scholar] [CrossRef]
  9. Bebelman, M.P.; Smit, M.J.; Pegtel, D.M.; Baglio, S.R. Biogenesis and function of extracellular vesicles in cancer. Pharmacol. Ther. 2018, 188, 1–11. [Google Scholar] [CrossRef]
  10. Clancy, J.; D’Souza-Schorey, C. Extracellular vesicles in cancer: Purpose and promise. Cancer J. 2018, 24, 65–69. [Google Scholar] [CrossRef]
  11. Maacha, S.; Bhat, A.A.; Jimenez, L.; Raza, A.; Haris, M.; Uddin, S.; Grivel, J.C. Extracellular vesicles-mediated intercellular communication: Roles in the tumor microenvironment and anti-cancer drug resistance. Mol. Cancer 2019, 18, 55. [Google Scholar] [CrossRef]
  12. Kalluri, R.; LeBleu, V.S. The biology, function, and biomedical applications of exosomes. Science 2020, 367, eaau6977. [Google Scholar] [CrossRef]
  13. Dong, Q.; Liu, X.; Cheng, K.; Sheng, J.; Kong, J.; Liu, T. Pre-metastatic niche formation in different organs induced by tumor extracellular vesicles. Front. Cell Dev. Biol. 2021, 9, 733627. [Google Scholar] [CrossRef]
  14. Yáñez-Mó, M.; Siljander, P.R.-M.; Andreu, Z.; Bedina Zavec, A.; Borràs, F.E.; Buzas, E.I.; Buzas, K.; Casal, E.; Cappello, F.; Carvalho, J.; et al. Biological properties of extracellular vesicles and their physiological functions. J. Extracell. Vesicles 2015, 4, 27066. [Google Scholar] [CrossRef] [PubMed]
  15. Surman, M.; Stępień, E.; Przybyło, M. Melanome-derived extracellular vesicles: Focus on their proteome. Proteomes 2019, 7, 21. [Google Scholar] [CrossRef]
  16. Lattman, E.; Levesque, M.P. The role of extracellular vesicles in melanoma progression. Cancers 2022, 14, 3086. [Google Scholar] [CrossRef]
  17. Surman, M.; Hoja-Łukowicz, D.; Szwed, S.; Kędracka-Krok, S.; Jankowska, U.; Kurtyka, M.; Drożdż, A.; Lityńska, A.; Stępień, E.; Przybyło, M. An insight into the proteome of uveal melanoma-derived ectosomes reveals the presence of potentially useful biomarkers. Int. J. Mol. Sci. 2019, 20, 3789. [Google Scholar] [CrossRef]
  18. Herlyn, M.; Balaban, G.; Bennicelli, J.; Guerry, D.; Halaban, R.; Herlyn, D.; Elder, D.E.; Maul, G.G.; Steplewski, Z.; Nowell, P.C. Primary melanoma cells of the vertical growth phase: Similarities to metastatic cells. J. Natl. Cancer Inst. 1985, 74, 283–289. [Google Scholar]
  19. Cornil, I.; Theodorescu, D.; Man, S.; Herlyn, M.; Jambrosic, J.; Kerbel, R.S. Fibroblast cell interactions with human melanoma cells affect tumor cell growth as a function of tumor progression. Proc. Natl. Acad. Sci. USA 1991, 88, 6028–6032. [Google Scholar] [CrossRef]
  20. Juhasz, I.; Albelda, S.M.; Elder, D.E.; Murphy, G.F.; Adachi, K.; Herlyn, D.; Valyi-Nagy, I.T.; Herlyn, M. Growth and invasion of human melanomas in human skin grafted to immunodeficient mice. Am. J. Pathol. 1993, 143, 528–537. [Google Scholar]
  21. Drożdż, A.; Kamińska, A.; Surman, M.; Gonet-Surówka, A.; Jach, R.; Huras, H.; Przybyło, M.; Stępień, E.Ł. Low-Vacuum Filtration as an Alternative Extracellular Vesicle Concentration Method: A Comparison with Ultracentrifugation and Differential Centrifugation. Pharmaceutics. 2020, 12, 872. [Google Scholar] [CrossRef] [PubMed]
  22. Surman, M.; Hoja-Łukowicz, D.; Szwed, S.; Drożdż, A.; Stępień, E.; Przybyło, M. Human melanoma-derived ectosomes are enriched with specific glycan epitopes. Life Sci. 2018, 207, 395–411. [Google Scholar] [CrossRef]
  23. Hughes, C.S.; Foehr, S.; Garfield, D.A.; Furlong, E.E.; Steinmetz, L.M.; Krijgsveld, J. Ultrasensitive proteome analysis using paramagnetic bead technology. Mol. Syst. Biol. 2014, 10, 757. [Google Scholar] [CrossRef] [PubMed]
  24. Tyanova, S.; Temu, T.; Cox, J. The MaxQuant computational platform for mass spectrometry-based shotgun proteomics. Nat. Protoc. 2016, 11, 2301–2319. [Google Scholar] [CrossRef]
  25. Xiao, D.; Ohlendorf, J.; Chen, Y.; Taylor, D.D.; Rai, S.N.; Waigel, S.; Zacharias, W.; Hao, H.; McMasters, K.M. Identifying mRNA, microRNA and protein profiles of melanoma exosomes. PLoS ONE 2012, 7, e46874. [Google Scholar] [CrossRef] [PubMed]
  26. Rappa, G.; Mercapide, J.; Anzanello, F.; Pope, R.M.; Lorico, A. Biochemical and biological characterization of exosomes containing prominin-1/CD133. Mol. Cancer 2013, 12, 62. [Google Scholar] [CrossRef] [PubMed]
  27. Lin, R.; Wang, S.; Zhao, R.C. Exosomes from human adipose-derived mesenchymal stem cells promote migration through Wnt signaling pathway in a breast cancer cell model. Mol. Cell Biochem. 2013, 383, 13–20. [Google Scholar] [CrossRef]
  28. Ramteke, A.; Ting, H.; Agarwal, C.; Mateen, S.; Somasagara, R.; Hussain, A.; Graner, M.; Frederick, B.; Agarwal, R.; Deep, G. Exosomes secreted under hypoxia enhance invasiveness and stemness of prostate cancer cells by targeting adherens junction molecules. Mol. Carcinog. 2015, 54, 554–565. [Google Scholar] [CrossRef]
  29. Liao, C.F.; Lin, S.H.; Chen, H.C.; Tai, C.J.; Chang, C.C.; Li, L.T.; Yeh, C.M.; Yeh, K.T.; Chen, Y.C.; Hsu, T.H.; et al. CSE1L, a novel microvesicle membrane protein, mediates Ras-triggered microvesicle generation and metastasis of tumor cells. Mol. Med. 2012, 18, 1269–1280. [Google Scholar] [CrossRef]
  30. Hatanaka, M.; Higashi, Y.; Fukushige, T.; Baba, N.; Kawai, K.; Hashiguchi, T.; Su, J.; Zeng, W.; Chen, X.; Kanekura, T. Cleaved CD147 shed from the surface of malignant melanoma cells activates MMP2 produced by fibroblasts. Anticancer Res. 2014, 34, 7091–7096. [Google Scholar]
  31. Clancy, J.W.; Sedgwick, A.; Rosse, C.; Muralidharan-Chari, V.; Raposo, G.; Method, M.; Chavrier, P.; D’Souza-Schorey, C. Regulated delivery of molecular cargo to invasive tumour-derived microvesicles. Nat. Commun. 2015, 6, 691. [Google Scholar] [CrossRef]
  32. Zhao, X.P.; Wang, M.; Song, Y.; Song, K.; Yan, T.L.; Wang, L.; Liu, K.; Shang, Z.J. Membrane microvesicles as mediators for melanoma-fibroblasts communication: Roles of the VCAM-1/VLA-4 axis and the ERK1/2 signal pathway. Cancer Lett. 2015, 360, 125–133. [Google Scholar] [CrossRef]
  33. Surman, M.; Kędracka-Krok, S.; Hoja-Łukowicz, D.; Jankowska, U.; Drożdż, A.; Stępień, E.Ł.; Przybyło, M. Mass spectrometry-based proteomic characterization of cutaneous melanoma ectosomes reveals the presence of cancer-related molecules. Int. J. Mol. Sci. 2020, 21, 2934. [Google Scholar] [CrossRef] [Green Version]
  34. Peinado, H.; Aleckovic, M.; Lavotshkin, S.; Matei, I.; Costa-Silva, B.; Moreno-Bueno, G.; Hergueta-Redondo, M.; Williams, C.; García-Santos, G.; Ghajar, C.; et al. Melanoma exosomes educate bone marrow progenitor cells toward a prometastatic phenotype through MET. Nat. Med. 2012, 18, 883–891. [Google Scholar] [CrossRef]
  35. Kim, J.; Afshari, A.; Sengupta, R.; Sebastiano, V.; Gupta, A.; Kim, Y.H.; Reproducibility Project: Cancer Biology. Replication study: Melanoma exosomes educate bone marrow progenitor cells toward a pro-metastatic phenotype through MET. elife 2018, 7, e39944. [Google Scholar] [CrossRef]
  36. Lazar, I.; Clement, E.; Ducoux-Petit, M.; Denat, L.; Soldan, V.; Dauvillier, S.; Balor, S.; Burlet-Schiltz, O.; Larue, L.; Muller, C.; et al. Proteome characterization of melanoma exosomes reveals a specific signature for metastatic cell lines. Cell Melanoma Res. 2015, 28, 464–475. [Google Scholar] [CrossRef]
  37. Hao, S.; Ye, Z.; Li, F.; Meng, Q.; Qureshi, M.; Yang, J.; Xiang, J. Epigenetic transfer of metastatic activity by uptake of highly metastatic B16 melanoma cell-released exosomes. Exp. Oncol. 2006, 28, 126–131. [Google Scholar] [PubMed]
  38. Mannavola, F.; Tucci, M.; Felici, C.; Passarelli, A.; D’Oronzo, S.; Silvestris, F. Tumor-derived exosomes promote the in vitro osteotropism of melanoma cells by activating the SDF-1/CXCR4/CXCR7 axis. J. Transl. Med. 2019, 17, 230. [Google Scholar] [CrossRef]
  39. Hood, J.L.; San, R.S.; Wickline, S.A. Exosomes released by melanoma cells prepare sentinel lymph nodes for tumor metastasis. Cancer Res. 2011, 71, 3792–3801. [Google Scholar] [CrossRef]
  40. Wang, P.; Wu, Y.; Chen, W.; Zhang, M.; Qin, J. Malignant melanoma-derived exosomes induce endothelial damage and glial activation on a human BBB chip model. Biosensors 2022, 12, 89. [Google Scholar] [CrossRef]
  41. Xiao, D.; Barry, S.; Kmetz, D.; Egger, M.; Pan, J.; Rai, S.N.; Qu, J.; McMasters, K.M.; Hao, H. Melanoma cell-derived exosomes promote epithelial-mesenchymal transition in primary melanocytes through paracrine/autocrine signaling in the tumor microenvironment. Cancer Lett. 2016, 376, 318–327. [Google Scholar] [CrossRef] [PubMed]
  42. Hood, J.L.; Pan, H.; Lanza, G.M.; Wickline, S.A. Paracrine induction of endothelium by tumor exosomes. Lab. Investig. 2009, 89, 1317–1328. [Google Scholar] [CrossRef] [PubMed]
  43. Ekstrom, E.J.; Bergenfelz, C.; von Bulow, V.; Serifler, F.; Carlemalm, E.; Jonsson, G.; Andersson, T.; Leandersson, K. WNT5A induces release of exosomes containing pro-angiogenic and immunosuppressive factors from malignant melanoma cells. Mol. Cancer 2014, 13, 88. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Biagioni, A.; Laurenzana, A.; Menicacci, B.; Peppicelli, S.; Andreucci, E.; Bianchini, F.; Guasti, D.; Paoli, P.; Serratì, S.; Mocali, A.; et al. uPAR-expressing melanoma exosomes promote angiogenesis by VE-Cadherin, EGFR and uPAR overexpression and rise of ERK1,2 signaling in endothelial cells. Cell. Mol. Life Sci. 2021, 78, 3057–3072. [Google Scholar] [CrossRef]
  45. Gajos-Michniewicz, A.; Duechler, M.; Czyz, M. MiRNA in melanoma-derived exosomes. Cancer Lett. 2014, 347, 29–37. [Google Scholar] [CrossRef]
  46. Leary, N.; Walser, S.; He, Y.; Cousin, N.; Pereira, P.; Gallo, A.; Collado-Diaz, V.; Halin, C.; Garcia-Silva, S.; Peinado, H.; et al. Melanoma-derived extracellular vesicles mediate lymphatic remodelling and impair tumour immunity in draining lymph nodes. J. Extracell. Vesicles 2022, 11, e12197. [Google Scholar] [CrossRef]
  47. García-Silva, S.; Benito-Martín, A.; Nogués, L.; Hernández-Barranco, A.; Mazariegos, M.S.; Santos, V.; Hergueta-Redondo, M.; Ximénez-Embún, P.; Kataru, R.P.; Lopez, A.A.; et al. Melanoma-derived small extracellular vesicles induce lymphangiogenesis and metastasis through an NGFR-dependent mechanism. Nat. Cancer 2021, 2, 1387–1405. [Google Scholar] [CrossRef]
  48. Strnadová, K.; Pfeiferová, L.; Přikryl, P.; Dvořánková, B.; Vlčák, E.; Frýdlová, J.; Vokurka, M.; Novotný, J.; Šáchová, J.; Hradilová, M.; et al. Exosomes produced by melanoma cells significantly influence the biological properties of normal and cancer-associated fibroblasts. Histochem. Cell Biol. 2022, 157, 153–172. [Google Scholar] [CrossRef]
  49. Bardi, G.T.; Smith, M.A.; Hood, J.L. Melanoma exosomes promote mixed M1 and M2 macrophage polarization. Cytokine 2018, 105, 63–72. [Google Scholar] [CrossRef]
  50. Li, X.; Liu, Y.; Yang, L.; Jiang, Y.; Qian, Q. TIM-3 shuttled by MV3 cells-secreted exosomes inhibits CD4+ T cell immune function and induces macrophage M2 polarization to promote the growth and metastasis of melanoma cells. Transl. Oncol. 2022, 18, 101334. [Google Scholar] [CrossRef]
  51. Bland, C.L.; Byrne-Hoffman, C.N.; Fernandez, A.; Rellick, S.L.; Deng, W.O. Exosomes derived from B16F0 melanoma cells alter the transcriptome of cytotoxic T cells that impacts mitochondrial respiration. FEBS J. 2018, 285, 1033–1050. [Google Scholar] [CrossRef] [PubMed]
  52. Zhang, W.; Zhong, W.; Wang, B.; Yang, J.; Yang, J.; Yu, Z.; Qin, Z.; Shi, A.; Xu, W.; Zheng, C.; et al. ICAM-1-mediated adhesion is a prerequisite for exosome-induced T cell suppression. Dev. Cell 2022, 57, 329–343.e7. [Google Scholar] [CrossRef] [PubMed]
  53. Zhou, J.; Yang, Y.; Wang, W.; Zhang, Y.; Chen, Z.; Hao, C.; Zhang, J.P. Melanoma-released exosomes directly activate the mitochondrial apoptotic pathway of CD4(+) T cells through their microRNA cargo. Exp. Cell Res. 2018, 371, 364–371. [Google Scholar] [CrossRef] [PubMed]
  54. Yu, S.; Liu, C.; Su, K.; Wang, J.; Liu, Y.; Zhang, L.; Li, C.; Cong, Y.; Kimberly, R.; Grizzle, W.E.; et al. Tumor exosomes inhibit differentiation of bone marrow dendritic cells. J. Immunol. 2007, 178, 6867–6875. [Google Scholar] [CrossRef]
  55. Boussadia, Z.; Lamberti, J.; Mattei, F.; Pizzi, E.; Puglisi, R.; Zanetti, C.; Pasquini, L.; Fratini, F.; Fantozzi, L.; Felicetti, F.; et al. Acidic microenvironment plays a key role in human melanoma progression through a sustained exosome mediated transfer of clinically relevant metastatic molecules. J. Exp. Clin. Cancer Res. 2018, 37, 245. [Google Scholar] [CrossRef]
  56. Kruijff, S.; Hoekstra, H.J. The current status of S-100B as a biomarker in melanoma. Eur. J. Surg. Oncol. 2012, 38, 281–285. [Google Scholar] [CrossRef]
  57. Barak, V.; Leibovici, V.; Peretz, T.; Kalichman, I.; Lotem, M.; Merims, S. Assessing response to new treatments and prognosis in melanoma patients, by the biomarker S-100β. Anticancer Res. 2015, 35, 6755–6760. [Google Scholar]
  58. Jurisic, V.; Radenkovic, S.; Konjevic, G. The Actual Role of LDH as Tumor Marker, Biochemical and Clinical Aspects. Adv. Exp. Med. Biol. 2015, 867, 115–124. [Google Scholar] [CrossRef]
  59. Yoshioka, Y.; Konishi, Y.; Kosaka, N.; Katsuda, T.; Kato, T.; Ochiya, T. Comparative marker analysis of extracellular vesicles in different human cancer types. J. Extr. Ves. 2013, 2, 20424. [Google Scholar] [CrossRef]
  60. Logozzi, M.; De Milito, A.; Lugini, L.; Borghi, M.; Calabro, L.; Spada, M.; Perdicchio, M.; Marino, M.L.; Federici, C.; Iessi, E.; et al. High levels of exosomes expressing CD63 and caveolin-1 in plasma of melanoma patients. PLoS ONE 2009, 4, e5219. [Google Scholar] [CrossRef]
  61. Garcia-Silva, S.; Benito-Martin, A.; Sanchez-Redondo, S.; Hernandez-Barranco, A.; Ximenez-Embun, P.; Nogues, L.; Mazariegos, M.S.; Brinkmann, K.; López, A.A.; Meyer, L.; et al. Use of extracellular vesicles from lymphatic drainage as surrogate markers of melanoma progression and BRAF (V600E) mutation. J. Exp. Med. 2019, 216, 1061–1070. [Google Scholar] [CrossRef] [PubMed]
  62. Del Re, M.; Marconcini, R.; Pasquini, G.; Rofi, E.; Vivaldi, C.; Bloise, F.; Restante, G.; Arrigoni, E.; Caparello, C.; Bianco, M.G.; et al. PD-L1 mRNA expression in plasma-derived exosomes is associated with response to anti-PD-1 antibodies in melanoma and NSCLC. Br. J. Cancer 2018, 118, 820–824. [Google Scholar] [CrossRef] [PubMed]
  63. Serratì, S.; Guida, M.; Di Fonte, R.; De Summa, S.; Strippoli, S.; Iacobazzi, R.M.; Quarta, A.; De Risi, I.; Guida, G.; Paradiso, A.; et al. Circulating extracellular vesicles expressing PD1 and PD-L1 predict response and mediate resistance to checkpoint inhibitors immunotherapy in metastatic melanoma. Mol. Cancer 2022, 21, 20. [Google Scholar] [CrossRef] [PubMed]
  64. Turiello, R.; Capone, M.; Morretta, E.; Monti, M.C.; Madonna, G.; Azzaro, R.; Del Gaudio, P.; Simeone, E.; Sorrentino, A.; Ascierto, P.A.; et al. Exosomal CD73 from serum of patients with melanoma suppresses lymphocyte functions and is associated with therapy resistance to anti-PD-1 agents. J. Immunother. Cancer 2022, 10, e004043. [Google Scholar] [CrossRef] [PubMed]
  65. Pietrowska, M.; Zebrowska, A.; Gawin, M.; Marczak, L.; Sharma, P.; Mondal, S.; Mika, J.; Polańska, J.; Ferrone, S.; Kirkwood, J.M.; et al. Proteomic profile of melanoma cell-derived small extracellular vesicles in patients’ plasma: A potential correlate of melanoma progression. J. Extracell. Vesicles 2021, 10, e12063. [Google Scholar] [CrossRef] [PubMed]
  66. Boudhraa, Z.; Rondepierre, F.; Ouchchane, L.; Kintossou, R.; Trzeciakiewicz, A.; Franck, F.; Kanitakis, J.; Labeille, B.; Joubert-Zakeyh, J.; Bouchon, B.; et al. Annexin A1 in primary tumors promotes melanoma dissemination. Clin. Exp. Metastasis 2014, 31, 749–760. [Google Scholar] [CrossRef]
  67. Shin, J.; Song, I.S.; Pak, J.H.; Jang, S.W. Upregulation of annexin A1 expression by butyrate in human melanoma cells induces invasion by inhibiting E-cadherin expression. Tumour Biol. 2016, 37, 14577–14584. [Google Scholar] [CrossRef]
  68. Finger, E.C.; Castellini, L.; Rankin, E.B.; Vilalta, M.; Krieg, A.J.; Jiang, D.; Banh, A.; Zundel, W.; Powell, M.B.; Giaccia, A.J. Hypoxic induction of AKAP12 variant 2 shifts PKA-mediated protein phosphorylation to enhance migration and metastasis of melanoma cells. Proc. Natl. Acad. Sci. USA 2015, 112, 4441–4446. [Google Scholar] [CrossRef]
  69. Fukunaga-Kalabis, M.; Martinez, G.; Nguyen, T.K.; Kim, D.; Santiago-Walker, A.; Roesch, A.; Herlyn, M. Tenascin-C promotes melanoma progression by maintaining the ABCB5-positive side population. Oncogene 2010, 29, 6115–6124. [Google Scholar] [CrossRef]
  70. Hu, W.; Jin, L.; Jiang, C.C.; Long, G.V.; Scolyer, R.A.; Wu, Q.; Zhang, X.D.; Mei, Y.; Wu, M. AEBP1 upregulation confers acquired resistance to BRAF (V600E) inhibition in melanoma. Cell Death Dis. 2013, 4, e914. [Google Scholar] [CrossRef]
  71. D’Aguanno, S.; Valentini, E.; Tupone, M.G.; Desideri, M.; Di Martile, M.; Spagnuolo, M.; Buglioni, S.; Ercolani, C.; Falcone, I.; De Dominici, M.; et al. Semaphorin 5A drives melanoma progression: Role of Bcl-2, miR-204 and c-Myb. J. Exp. Clin Cancer Res. 2018, 37, 278. [Google Scholar] [CrossRef] [PubMed]
  72. Komina, A.V.; Palkina, N.V.; Aksenenko, M.B.; Lavrentev, S.N.; Moshev, A.V.; Savchenko, A.A.; Averchuk, A.S.; Rybnikov, Y.A.; Ruksha, T.G. Semaphorin-5A downregulation is associated with enhanced migration and invasion of BRAF-positive melanoma cells under vemurafenib treatment in melanomas with heterogeneous BRAF status. Melanoma Res. 2019, 29, 544–548. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Nanoparticle tracking analysis (NTA) of pellets obtained during exosome isolation, i.e., intermediate centrifugation steps (18,000× g and 80,000× g), and of final 150,000× g pellet (exosomes). (A) The graphs show means from five independent measurements with ± standard deviation (shaded area). (B) Mean particle diameter ± standard deviation measured for all pellets were also presented in table. (WM115/WM266-4,WM793/WM1205Lu—isogenic pairs (primary/metastatic) of CM cell lines that were used for exosome isolation.
Figure 1. Nanoparticle tracking analysis (NTA) of pellets obtained during exosome isolation, i.e., intermediate centrifugation steps (18,000× g and 80,000× g), and of final 150,000× g pellet (exosomes). (A) The graphs show means from five independent measurements with ± standard deviation (shaded area). (B) Mean particle diameter ± standard deviation measured for all pellets were also presented in table. (WM115/WM266-4,WM793/WM1205Lu—isogenic pairs (primary/metastatic) of CM cell lines that were used for exosome isolation.
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Figure 2. Immunodetection of extracellular vesicle (EV) markers in whole-cell protein extracts (lines C) and exosome samples (lines E). Prior to immunodetection, 50 µg of protein per line was separated by 10% SDS-PAGE and transferred into the PVDF membrane. Immunodetection was performed with the use of the following primary antibodies: anti CD9, anti-CD63, anti-Hsp70, and anti-Arf6, and anti-mouse IgG-HRP as a secondary antibody. Original blots were provided in Supplementary Data S1. WM115/WM266-4,WM793/WM1205Lu—isogenic pairs (primary/metastatic) of CM cell lines that were used for exosome isolation.
Figure 2. Immunodetection of extracellular vesicle (EV) markers in whole-cell protein extracts (lines C) and exosome samples (lines E). Prior to immunodetection, 50 µg of protein per line was separated by 10% SDS-PAGE and transferred into the PVDF membrane. Immunodetection was performed with the use of the following primary antibodies: anti CD9, anti-CD63, anti-Hsp70, and anti-Arf6, and anti-mouse IgG-HRP as a secondary antibody. Original blots were provided in Supplementary Data S1. WM115/WM266-4,WM793/WM1205Lu—isogenic pairs (primary/metastatic) of CM cell lines that were used for exosome isolation.
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Figure 3. Qualitative analysis of proteins identified in CM cells by LC-MS/MS. (A) Number of proteins identified (by at least two peptides) in at least three out of four biological replicates of each CM cell sample (left bar) and the number of unique proteins (right bar). (B) Number of proteins shared between given CM cell lines. (C) Percentage of proteins shared between given CM cell lines. Number of proteins shared between isogenic (D) and primary or metastatic CM cell lines (E). WM115/WM266-4,WM793/WM1205Lu—isogenic pairs (primary/metastatic) of CM cell lines that were analyzed. Complete protein lists are presented in Supplementary Data S2.
Figure 3. Qualitative analysis of proteins identified in CM cells by LC-MS/MS. (A) Number of proteins identified (by at least two peptides) in at least three out of four biological replicates of each CM cell sample (left bar) and the number of unique proteins (right bar). (B) Number of proteins shared between given CM cell lines. (C) Percentage of proteins shared between given CM cell lines. Number of proteins shared between isogenic (D) and primary or metastatic CM cell lines (E). WM115/WM266-4,WM793/WM1205Lu—isogenic pairs (primary/metastatic) of CM cell lines that were analyzed. Complete protein lists are presented in Supplementary Data S2.
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Figure 4. Qualitative analysis of proteins identified in CM-derived exosomes by LC-MS/MS. (A) Number of proteins identified (by at least two peptides) in at least three out of four biological replicates of each CM exosome sample (left bar) and the number of unique proteins (right bar). (B) Number of proteins shared between exosomes derived from given CM cell lines. (C) Percentage of proteins shared between given CM-derived exosome samples. Number of proteins shared between exosomes derived from isogenic (D) and primary or metastatic CM cell lines (E). (F) Venn diagram illustrating protein overlap between isolated ectosomes and Vesiclepedia database as a reference. WM115/WM266-4,WM793/WM1205Lu—isogenic pairs (primary/metastatic) of CM cell lines that were used for exosome isolation. Complete protein lists are presented in Supplementary Data S2.
Figure 4. Qualitative analysis of proteins identified in CM-derived exosomes by LC-MS/MS. (A) Number of proteins identified (by at least two peptides) in at least three out of four biological replicates of each CM exosome sample (left bar) and the number of unique proteins (right bar). (B) Number of proteins shared between exosomes derived from given CM cell lines. (C) Percentage of proteins shared between given CM-derived exosome samples. Number of proteins shared between exosomes derived from isogenic (D) and primary or metastatic CM cell lines (E). (F) Venn diagram illustrating protein overlap between isolated ectosomes and Vesiclepedia database as a reference. WM115/WM266-4,WM793/WM1205Lu—isogenic pairs (primary/metastatic) of CM cell lines that were used for exosome isolation. Complete protein lists are presented in Supplementary Data S2.
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Figure 5. Qualitative analysis of proteins identified in CM cell lines and CM-derived exosomes by LC-MS/MS. (A) Number of proteins common for exosome samples and the cell line of their origin. Only proteins identified in at least three out of four biological replicates (by at least two peptides) were considered for analyses. (B) Percentage of proteins that were identified in CM cell lines and then in the exosome sample derived thereof. (C) Percentage of proteins that were identified in CM exosomes but not in the parental cell samples. Exosomes were isolated from WM115/WM266-4 and WM793/WM1205Lu cells—isogenic pairs (primary/metastatic) of CM cell lines.
Figure 5. Qualitative analysis of proteins identified in CM cell lines and CM-derived exosomes by LC-MS/MS. (A) Number of proteins common for exosome samples and the cell line of their origin. Only proteins identified in at least three out of four biological replicates (by at least two peptides) were considered for analyses. (B) Percentage of proteins that were identified in CM cell lines and then in the exosome sample derived thereof. (C) Percentage of proteins that were identified in CM exosomes but not in the parental cell samples. Exosomes were isolated from WM115/WM266-4 and WM793/WM1205Lu cells—isogenic pairs (primary/metastatic) of CM cell lines.
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Figure 6. GO analysis regarding “Cellular compartment” (A), “Molecular function” (B), and “Biological process” (C) of proteins identified in CM cell lines. FunRich 3.1.3. software with the UniProt (release 2022_11) database was used, and six categories with the highest statistical significance of protein enrichment (p < 0.001) were presented in graphs. Complete results are presented in Supplementary Data S2. WM115/WM266-4,WM793/WM1205Lu—isogenic pairs (primary/metastatic) of CM cell lines that were analyzed.
Figure 6. GO analysis regarding “Cellular compartment” (A), “Molecular function” (B), and “Biological process” (C) of proteins identified in CM cell lines. FunRich 3.1.3. software with the UniProt (release 2022_11) database was used, and six categories with the highest statistical significance of protein enrichment (p < 0.001) were presented in graphs. Complete results are presented in Supplementary Data S2. WM115/WM266-4,WM793/WM1205Lu—isogenic pairs (primary/metastatic) of CM cell lines that were analyzed.
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Figure 7. GO analysis regarding “Cellular compartment” (A), “Molecular function” (B), and “Biological process” (C) of proteins identified in CM-derived exosomes. FunRich 3.1.3. software with the UniProt (release 2022_11) database was used, and six categories with the highest statistical significance of protein enrichment (p < 0.001) were presented in graphs. Complete results are presented in Supplementary Data S2. WM115/WM266-4,WM793/WM1205Lu—isogenic pairs (primary/metastatic) of CM cell lines that were used for exosome isolation.
Figure 7. GO analysis regarding “Cellular compartment” (A), “Molecular function” (B), and “Biological process” (C) of proteins identified in CM-derived exosomes. FunRich 3.1.3. software with the UniProt (release 2022_11) database was used, and six categories with the highest statistical significance of protein enrichment (p < 0.001) were presented in graphs. Complete results are presented in Supplementary Data S2. WM115/WM266-4,WM793/WM1205Lu—isogenic pairs (primary/metastatic) of CM cell lines that were used for exosome isolation.
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Figure 8. Gene ontology annotations by the biological process of all proteins identified in CM cells (3514 proteins) or CM-derived exosomes (1234 proteins) performed via the UniProt (release 2022_11) database. Enrichment significance scores (i.e., −log10(p-value)) within the chosen cancer-related categories for CM cells or CM-derived exosomes are presented in the graph. WM115/WM266-4,WM793/WM1205Lu—isogenic pairs (primary/metastatic) of CM cell lines that were used for LC-MS/MS analysis and exosome isolation. Complete results are presented in Supplementary Data S2.
Figure 8. Gene ontology annotations by the biological process of all proteins identified in CM cells (3514 proteins) or CM-derived exosomes (1234 proteins) performed via the UniProt (release 2022_11) database. Enrichment significance scores (i.e., −log10(p-value)) within the chosen cancer-related categories for CM cells or CM-derived exosomes are presented in the graph. WM115/WM266-4,WM793/WM1205Lu—isogenic pairs (primary/metastatic) of CM cell lines that were used for LC-MS/MS analysis and exosome isolation. Complete results are presented in Supplementary Data S2.
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Table 1. List of proteins identified in WM793 cells but not found in any replicates of WM1205Lu cell samples and vice versa.
Table 1. List of proteins identified in WM793 cells but not found in any replicates of WM1205Lu cell samples and vice versa.
Present Only in WM793 CellsPresent Only in WM1205Lu Cells
Structural maintenance of chromosomes flexible hinge domain-containing protein 1
Procollagen-lysine,2-oxoglutarate 5-dioxygenase 2
Acyl-CoA desaturase
Interferon-induced protein with tetratricopeptide repeats 3
Plexin-B2
Fatty acid-binding protein, brain
mRNA cap guanine-N7 methyltransferase
Syntaxin-6
TBC1 domain family member 4
Poly(A)-specific ribonuclease PARN
E3 ubiquitin-protein ligase HERC2
Adenosine deaminase
HLA class II histocompatibility antigen, DR alpha chain
HLA class II histocompatibility antigen, DRB1-15 beta chain
Interstitial collagenase
22 kDa interstitial collagenase
27 kDa interstitial collagenase
Plasminogen activator inhibitor 2
Ubiquitin-like protein ISG15
Acyl-CoA-binding protein
Complement decay-accelerating factor
Interferon-induced protein with tetratricopeptide repeats 1
Proto-oncogene tyrosine-protein kinase Src
Histone H1.5
Plasma membrane calcium-transporting ATPase 1
Erythrocyte band 7 integral membrane protein
Delta-1-pyrroline-5-carboxylate dehydrogenase, mitochondrial
Serine hydroxymethyltransferase, cytosolic
Alpha-synuclein
Lysosomal acid lipase/cholesteryl ester hydrolase
Cyclin-dependent kinase inhibitor 2A
Cyclin-dependent kinase 4 inhibitor B
Cytosolic phospholipase A2
Phospholipase A2
Lysophospholipase
Glutamate dehydrogenase 2, mitochondrial
Signal transducer and activator of transcription 2
Integrin alpha-1
Guanine nucleotide-binding protein G(i) subunit alpha-1
HLA class II histocompatibility antigen, DR beta 3 chain
Hydroxymethylglutaryl-CoA synthase, cytoplasmic
Semaphorin-3B
Nuclear factor of activated T-cells, cytoplasmic 2
Caspase-8
Caspase-8 subunit p18
Caspase-8 subunit p10
Transmembrane glycoprotein NMB
3-beta-hydroxysteroid-Delta(8),Delta(7)-isomerase
Nicotinate-nucleotide pyrophosphorylase [carboxylating]
Kynureninase
Acyl-coenzyme A thioesterase THEM4
ERO1-like protein beta
Extracellular serine/threonine protein kinase FAM20C
Kelch repeat and BTB domain-containing protein 2
Phosphatidylinositol 3,4,5-trisphosphate-dependent Rac exchanger 1 protein
PH-interacting protein
Ubiquitin-conjugating enzyme E2 E3
Molybdenum cofactor sulfurase
Zinc finger CCCH-type antiviral protein 1-like
Protein FAM84B
Methylcrotonoyl-CoA carboxylase subunit alpha, mitochondrial
Protein NipSnap homolog 1
O-acetyl-ADP-ribose deacetylase MACROD1
Solute carrier family 12 member 9
Protein tweety homolog 3
Egl nine homolog 1
Activity-dependent neuroprotector homeobox protein
Probable serine carboxypeptidase CPVL
DNA-directed RNA polymerase I subunit RPA2
ATP-binding cassette sub-family B member 6, mitochondrial
Exosome complex component RRP41
Leucine zipper transcription factor-like protein 1
Ethylmalonyl-CoA decarboxylase
Leucine-rich repeat and WD repeat-containing protein 1
LIM domain-containing protein 1
Protein NDRG3
Protein kinase C and casein kinase substrate in neurons protein 3
Collagen type IV alpha-3-binding protein
28S ribosomal protein S35, mitochondrial
Citron Rho-interacting kinase
Neuropilin-1
Triple functional domain protein
Galactosylgalactosylxylosylprotein 3-beta-glucuronosyltransferase 3
Glutamine--fructose-6-phosphate aminotransferase [isomerizing] 2
Sorbin and SH3 domain-containing protein 2
Tissue-type plasminogen activator;Tissue-type plasminogen activator chain A;Tissue-type plasminogen activator chain B
Alpha-crystallin B chain
Apolipoprotein D
Neuromodulin
Protein S100-A1
Thromboxane-A synthase
CAP-Gly domain-containing linker protein 1
Carbonic anhydrase-related protein
AP-1 complex subunit sigma-2
TNF receptor-associated factor 1
Growth factor receptor-bound protein 10
Calcyphosin
Dihydropyrimidinase-related protein 1
Arf-GAP with coiled-coil, ANK repeat and PH domain-containing protein 2
Glycerol-3-phosphate acyltransferase 3
HCLS1-binding protein 3
Uncharacterized protein FLJ45252
Fermitin family homolog 3
5-nucleotidase domain-containing protein 3
Protein AHNAK2
Actin filament-associated protein 1-like 2
EH domain-binding protein 1
E3 ubiquitin-protein ligase DTX3L
PDZ domain-containing protein GIPC3
Ubiquitin carboxyl-terminal hydrolase 47
Sorting nexin-18
Protein FAM107B
Synaptic vesicle membrane protein VAT-1 homolog-like
T-complex protein 11-like protein 1
EH domain-containing protein 2
Arf-GAP with SH3 domain, ANK repeat and PH domain-containing protein 1
Absent in melanoma 1 protein
Table 2. List of proteins identified in WM115 cells but not found in any replicates of WM266-4 cell samples and vice versa.
Table 2. List of proteins identified in WM115 cells but not found in any replicates of WM266-4 cell samples and vice versa.
Present Only in WM115 CellsPresent Only in WM266-4 Cells
Serine protease 23
HLA class II histocompatibility antigen, DR alpha chain
HLA class II histocompatibility antigen, DQ beta 1 chain
HLA class II histocompatibility antigen, DR beta 4 chain
Nidogen-1
Platelet glycoprotein 4
HLA class II histocompatibility antigen, DP alpha 1 chain
HLA class II histocompatibility antigen, DM beta chain
Nicotinamide N-methyltransferase
High mobility group protein HMGI-C
Methylosome subunit pICln
Ubiquitin-conjugating enzyme E2 G1
Ubiquitin-conjugating enzyme E2 G1, N-terminally processed
HLA class II histocompatibility antigen, DR beta 3 chain
Mitotic spindle assembly checkpoint protein MAD2A
E3 ubiquitin-protein ligase TRIP12
Cysteine and glycine-rich protein 2
Mitochondrial 10-formyltetrahydrofolate dehydrogenase
G antigen 13
G antigen 2D
G antigen 2A
G antigen 2B/2C
G antigen 12J
G antigen 12H
G antigen 12B/C/D/E
Mitochondrial Rho GTPase 2
Cap-specific mRNA (nucleoside-2-O-)-methyltransferase 1
Protein SAAL1
PITH domain-containing protein 1
Probable serine carboxypeptidase CPVL
39S ribosomal protein L17, mitochondrial
Shootin-1
Monocarboxylate transporter 4
Syndecan-3
Heat shock 70 kDa protein 4L
Cholinesterase
Annexin A3
Insulin-like growth factor-binding protein 2
Protein S100-A1
Caspase-1
Caspase-1 subunit p20
Caspase-1 subunit p10
Neural cell adhesion molecule L1
Sulfotransferase 1A1
Sulfotransferase 1A2
H(+)/Cl(−) exchange transporter 3
Serine beta-lactamase-like protein LACTB, mitochondrial
Collagen alpha-1 (XIV) chain
Selenium-binding protein 1
Inactive tyrosine-protein kinase 7
AP2-associated protein kinase 1
NADH-cytochrome b5 reductase 2
Nucleoredoxin
Uncharacterized protein FLJ45252
Myosin-14
MICAL-like protein 1
Probable aminopeptidase NPEPL1
PRKC apoptosis WT1 regulator protein
Ras-related protein Rab-34
Leucine-rich repeat-containing protein C10orf11
Pleckstrin homology domain-containing family A member 2
Ras-related protein Rab-18
Coatomer subunit zeta-2
Calcium-dependent secretion activator 1
Integral membrane protein 2B
BRI2, membrane form
BRI2 intracellular domain
BRI2C, soluble form
Bri23 peptide
FH1/FH2 domain-containing protein 1
Sulfide:quinone oxidoreductase, mitochondrial
Table 3. List of proteins identified in WM793-derived exosomes but not found in any replicates of WM1205Lu-derived exosomes and vice versa.
Table 3. List of proteins identified in WM793-derived exosomes but not found in any replicates of WM1205Lu-derived exosomes and vice versa.
Present Only in WM793 ExosomesPresent Only in WM1205Lu Exosomes
Na(+)/H(+) exchange regulatory cofactor NHE-RF1
Neurosecretory protein VGF
Neuroendocrine regulatory peptide-1
Neuroendocrine regulatory peptide-2
Antimicrobial peptide VGF [554–577]
Fatty acid-binding protein, brain
Pre-mRNA-splicing factor ATP-dependent RNA helicase DHX15
Heterogeneous nuclear ribonucleoprotein R
EGF-like repeat and discoidin I-like domain-containing protein 3
HLA class II histocompatibility antigen, DRB1-15 beta chain
Serotransferrin
Lupus La protein
Beta-hexosaminidase subunit alpha
Fumarate hydratase, mitochondrial
U1 small nuclear ribonucleoprotein 70 kDa
Heterogeneous nuclear ribonucleoprotein A1
Heterogeneous nuclear ribonucleoprotein A1, N-terminally processed
Heterogeneous nuclear ribonucleoprotein A1-like 2
Poly [ADP-ribose] polymerase 1
Hyaluronan and proteoglycan link protein 1
X-ray repair cross-complementing protein 5
Aminopeptidase N
Follistatin
Protachykinin-1
Substance P
Neurokinin A
Neuropeptide K
Neuropeptide gamma
C-terminal-flanking peptide
Lamin-B1
Splicing factor, proline- and glutamine-rich
Myelin protein P0
Sulfate transporter
Palmitoyl-protein thioesterase 1
Hepatoma-derived growth factor
26S protease regulatory subunit 8
HLA class II histocompatibility antigen, DR beta 3 chain
Protein SET;
Protein SETSIP
RNA-binding protein EWS
Prolow-density lipoprotein receptor-related protein 1
Low-density lipoprotein receptor-related protein 1 85 kDa subunit
Low-density lipoprotein receptor-related protein 1 515 kDa subunit
Low-density lipoprotein receptor-related protein 1 intracellular domain
ATP-dependent RNA helicase A
EGF-containing fibulin-like extracellular matrix protein 1
Sorting nexin-1
CD166 antigen
Collagen alpha-1(XIX) chain
Polypeptide N-acetylgalactosaminyltransferase 5
Extracellular serine/threonine protein kinase FAM20C
Minor histocompatibility antigen H13
Proteasome subunit beta type-7
Acetyl-CoA acetyltransferase, cytosolic
Probable serine carboxypeptidase CPVL
Protein kinase C and casein kinase substrate in neurons protein 3
Angiopoietin-related protein 2
Basic leucine zipper and W2 domain-containing protein 2
Fermitin family homolog 3
Ras GTPase-activating-like protein IQGAP3
Table 4. List of proteins identified in WM115-derived exosomes but not found in any replicates of WM266-4-derived exosomes and vice versa.
Table 4. List of proteins identified in WM115-derived exosomes but not found in any replicates of WM266-4-derived exosomes and vice versa.
Present Only in WM115 ExosomesPresent Only in WM266-4 Exosomes
Nascent polypeptide-associated complex subunit alpha, muscle-specific form
Nascent polypeptide-associated complex subunit alpha
Tumor protein D54
Density-regulated protein
EGF-like repeat and discoidin I-like domain-containing protein 3
Eukaryotic translation initiation factor 3 subunit G
AP-2 complex subunit alpha-2
Activator of 90 kDa heat shock protein ATPase homolog 1
HLA class II histocompatibility antigen, DQ beta 1 chain
Dolichyl-diphosphooligosaccharide--protein glycosyltransferase subunit 2
Tumor necrosis factor receptor superfamily member 16
Neprilysin
Solute carrier family 2, facilitated glucose transporter member 3
Solute carrier family 2, facilitated glucose transporter member 14
Protein 4.1
Lysosome-associated membrane glycoprotein 2
Neural cell adhesion molecule 1
HLA class II histocompatibility antigen, DR beta 4 chain
Platelet glycoprotein 4
Y-box-binding protein 3
HLA class II histocompatibility antigen, DP alpha 1 chain
Cation-dependent mannose-6-phosphate receptor
High mobility group protein B2
Syntaxin-2
RNA-binding motif protein, X chromosome
RNA-binding motif protein, X chromosome, N-terminally processed
RNA binding motif protein, X-linked-like-1
Macrophage-capping protein
Ubiquitin carboxyl-terminal hydrolase 5
60S ribosomal protein L21
Cysteine--tRNA ligase, cytoplasmic
Basal cell adhesion molecule
UV excision repair protein RAD23 homolog B
Cadherin-13
Integrin alpha-1
Myelin proteolipid protein
Ubiquitin-conjugating enzyme E2 K
40S ribosomal protein S7
60S ribosomal protein L31
60S ribosomal protein L32
40S ribosomal protein S21
Vigilin
Peptidyl-prolyl cis-trans isomerase FKBP4
Peptidyl-prolyl cis-trans isomerase FKBP4, N-terminally processed
Caldesmon
Tyrosine-protein phosphatase non-receptor type 11
Serine/arginine-rich splicing factor 1
Ras GTPase-activating protein-binding protein 1
Eukaryotic initiation factor 4A-II;Eukaryotic initiation factor 4A-II, N-terminally processed
Fibroleukin
Nicotinate-nucleotide pyrophosphorylase [carboxylating]
Leucine-rich repeat flightless-interacting protein 1
Syntaxin-12
Secreted frizzled-related protein 1
Misshapen-like kinase 1
Plasminogen activator inhibitor 1 RNA-binding protein
ATP-binding cassette sub-family F member 1
Cytoglobin
Cullin-5
E3 ubiquitin-protein ligase NEDD4-like
Palmitoyltransferase ZDHHC5
Serine/threonine-protein kinase TAO3
Aminopeptidase B
Phenylalanine--tRNA ligase beta subunit
Transmembrane protein 106B
Alpha-parvin
ADP-ribosylation factor-like protein 8B
Claudin domain-containing protein 1
G-protein coupled receptor family C group 5 member B
Teneurin-3
Ribosome-binding protein 1
Testin
Transmembrane protein 2
V-type proton ATPase subunit H
DCC-interacting protein 13-alpha
Ras GTPase-activating protein-binding protein 2
Developmentally-regulated GTP-binding protein 1
V-type proton ATPase subunit D Nicotinate-nucleotide
CD82 antigen
Laminin subunit alpha-5
Fatty acid-binding protein, brain
Protocadherin-7
Metalloproteinase inhibitor 1
Collagen alpha-2(VI) chain
Versican core protein
Peptidyl-glycine alpha-amidating monooxygenase;Peptidylglycine alpha-hydroxylating monooxygenase
Peptidyl-alpha-hydroxyglycine alpha-amidating lyase
Biglycan
Fibulin-1
Laminin subunit alpha-2
Thrombospondin-2
Fibrillin-1
Pigment epithelium-derived factor
Low-density lipoprotein receptor-related protein 2
Collagen alpha-1(XIV) chain
Selenium-binding protein 1
Receptor-type tyrosine-protein phosphatase S
Integrin alpha-7;Integrin alpha-7 heavy chain
Integrin alpha-7 light chain;Integrin alpha-7 70 kDa form
SPARC-like protein 1
Collagen alpha-1(XIX) chain
Insulin-like growth factor-binding protein 7
Glutaminyl-peptide cyclotransferase
FRAS1-related extracellular matrix protein 2
Polypeptide N-acetylgalactosaminyltransferase 5
Xylosyltransferase 1
Latent-transforming growth factor beta-binding protein 4
Brevican core protein
Collagen alpha-1(XII) chain
EMILIN-2
Fibroblast growth factor-binding protein 2
Glyoxalase domain-containing protein 4
Angiopoietin-related protein 2
Table 5. Differentially expressed proteins within isogenic pairs of CM cells lines and CM-derived exosomes. Ten proteins with the highest fold change for CM cell lines and exosomes are listed in this table, while the entire LFQ analysis is presented in Supplementary Data.
Table 5. Differentially expressed proteins within isogenic pairs of CM cells lines and CM-derived exosomes. Ten proteins with the highest fold change for CM cell lines and exosomes are listed in this table, while the entire LFQ analysis is presented in Supplementary Data.
Upregulated in WM793 CellsUpregulated in WM1205Lu Cells
ProteinsFold ChangeProteinsFold Change
Unconventional myosin-Ib16.750UDP-N-acetylhexosamine pyrophosphorylase22.502
Sulfate transporter7.4312Tight junction protein ZO-119.663
Inter-alpha-trypsin inhibitor heavy chain H57.259Protein Niban18.700
Death-inducer obliterator 16.965Ras GTPase-activating-like protein IQGAP311.358
Protein TANC16.833Epididymal secretory protein E19.054
Acetyl-CoA acetyltransferase, cytosolic6.364Integrin alpha-28.955
Signal transducer and activator of transcription 35.631Growth/differentiation factor 158.3022
Elongation factor 1-alpha 25.212Protein-glutamine gamma-glutamyltransferase 28.283
Superoxide dismutase [Mn], mitochondrial4.863PDZ and LIM domain protein 77.297
Farnesyl pyrophosphate synthase4.605Melanotransferrin6.855
Upregulated in WM115 CellsUpregulated in WM266-4 Cells
ProteinsFold ChangeProteinsFold Change
Macrophage-capping protein526.300Serine/threonine-protein kinase DCLK128.759
Glyceraldehyde-3-phosphate dehydrogenase, testis-specific37.595Melanotransferrin10.494
Cytoglobin7.445LIM domain only protein 79.851
Basement membrane-specific heparan sulfate proteoglycan core protein7.287CD109 antigen7.568
Fibronectin5.340Fatty acid-binding protein, brain6.679
Condensin complex subunit 14.970Protein S100-A135.543
Structural maintenance of chromosomes protein 24.5763-ketoacyl-CoA thiolase, mitochondrial5.407
Cathepsin L14.179Ras-related protein Rab-8B3.668
Myoferlin3.939Band 4.1-like protein 33.623
Squalene synthase3.245Integrin alpha-63.529
Upregulated in WM115 ExosomesUpregulated in WM266-4 Exosomes
ProteinsFold ChangeProteinsFold Change
Plexin-A17.044Matrilin-235.037
Transferrin receptor protein 16.849Collagen alpha-1(VI) chain25.929
Annexin A16.160Extracellular matrix protein 123.545
Tyrosine--tRNA ligase, cytoplasmic6.085C-type lectin domain family 11 member A17.627
60S ribosomal protein L55.851Adipocyte enhancer-binding protein 117.042
60S ribosomal protein L7a5.456Procollagen-lysine,2-oxoglutarate 5-dioxygenase 116.935
Erythrocyte band 7 integral membrane protein5.422Semaphorin-5A14.349
60S ribosomal protein L75.390Vitamin K-dependent protein S14.241
Sodium/potassium-transporting ATPase subunit beta-15.368Tenascin13.403
A-kinase anchor protein 125.131Agrin11.801
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Surman, M.; Jankowska, U.; Wilczak, M.; Przybyło, M. Similarities and Differences in the Protein Composition of Cutaneous Melanoma Cells and Their Exosomes Identified by Mass Spectrometry. Cancers 2023, 15, 1097. https://doi.org/10.3390/cancers15041097

AMA Style

Surman M, Jankowska U, Wilczak M, Przybyło M. Similarities and Differences in the Protein Composition of Cutaneous Melanoma Cells and Their Exosomes Identified by Mass Spectrometry. Cancers. 2023; 15(4):1097. https://doi.org/10.3390/cancers15041097

Chicago/Turabian Style

Surman, Magdalena, Urszula Jankowska, Magdalena Wilczak, and Małgorzata Przybyło. 2023. "Similarities and Differences in the Protein Composition of Cutaneous Melanoma Cells and Their Exosomes Identified by Mass Spectrometry" Cancers 15, no. 4: 1097. https://doi.org/10.3390/cancers15041097

APA Style

Surman, M., Jankowska, U., Wilczak, M., & Przybyło, M. (2023). Similarities and Differences in the Protein Composition of Cutaneous Melanoma Cells and Their Exosomes Identified by Mass Spectrometry. Cancers, 15(4), 1097. https://doi.org/10.3390/cancers15041097

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