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Tumor Microenvironments: Molecular Mechanisms and Signaling Pathways Involved in Metastatic Progression

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Oncology".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 7050

Special Issue Editor


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Guest Editor
Department of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI, USA
Interests: molecular mechanisms in cancer

Special Issue Information

Dear Colleagues,

Premetastatic niche formation is the chief event that confers the ability of colonization to tumor cells to distant locations for further metastasis. In the complex tumor microenvironment (TME), several malignant and non-malignant cell types, as well as components of the extracellular matrix (ECM), interact together to promote the metastatic process. Stromal cells, which are already present in the TME, are recruited from distant sites and “educated” by cancer cells through a dynamic crosstalk involving growth factors, cytokines, chemokines, miRNAs, and exosomes. Modulating the microenvironment is a key strategy by which many tumors evade host immune response as well as a variety of therapeutic drugs. Understanding the interaction between the tumor cells and their microenvironment can improve tumor intervention strategies.

The present Special Issue, titled “Tumor Microenvironments: Molecular Mechanisms and Signaling Pathways Involved in Metastatic Progression”, aims to recent research developments to the wider community involved in this field. We welcome contributions on the topic outlined above.

Dr. Sonam Mittal
Guest Editor

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Keywords

  • tumor microenvironment
  • metastasis
  • metabolism
  • cytokines
  • cancer-derived extracellular vesicles
  • metabolic reprogramming

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Published Papers (5 papers)

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Research

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25 pages, 13485 KiB  
Article
Integrating Bulk and Single-Cell RNA-Seq Data to Identify Prognostic Features Related to Activated Dendritic Cells in Clear-Cell Renal-Cell Carcinoma
by Zijian Ye, Yifan Zhang, Jialiang Xu, Kun Li, Jianning Zhang, Deyana Ivanova, Xin Zhang, Siqi Liao, Liqi Duan, Fangfang Li, Xuemei Chen, Yingxiong Wang, Meijiao Wang and Biao Xie
Int. J. Mol. Sci. 2024, 25(17), 9235; https://doi.org/10.3390/ijms25179235 - 26 Aug 2024
Viewed by 793
Abstract
Dendritic cells (DCs) serve as key regulators in tumor immunity, with activated DCs potentiating antitumor responses through the secretion of pro-inflammatory cytokines and the expression of co-stimulatory molecules. Most current studies focus on the relationship between DC subgroups and clear-cell renal-cell carcinoma (ccRCC), [...] Read more.
Dendritic cells (DCs) serve as key regulators in tumor immunity, with activated DCs potentiating antitumor responses through the secretion of pro-inflammatory cytokines and the expression of co-stimulatory molecules. Most current studies focus on the relationship between DC subgroups and clear-cell renal-cell carcinoma (ccRCC), but there is limited research on the connection between DCs and ccRCC from the perspective of immune activation. In this study, activated DC genes were identified in both bulk and single-cell RNA-seq data. A prognostic model related to activated DCs was constructed using univariate, multivariate Cox regression and LASSO regression. The prognostic model was validated in three external validation sets: GSE167573, ICGC, and E-MTAB-1980. The prognostic model consists of five genes, PLCB2, XCR1, IFNG, HLA-DQB2, and SMIM24. The expression of these genes was validated in tissue samples using qRT-PCR. Stratified analysis revealed that the prognostic model was able to better predict outcomes in advanced ccRCC patients. The risk scores were associated with tumor progression, tumor mutation burden, immune cell infiltration, and adverse outcomes of immunotherapy. Notably, there was a strong correlation between the expression of the five genes and the sensitivity to JQ1, a BET inhibitor. Molecular docking indicated high-affinity binding of the proteins encoded by these genes with JQ1. In conclusion, our study reveals the crucial role of activated DCs in ccRCC, offering new insights into predicting immune response, targeted therapy effectiveness, and prognosis for ccRCC patients. Full article
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20 pages, 8302 KiB  
Article
Tumor- and Fibroblast-Derived Cell-Free DNAs Differently Affect the Progression of B16 Melanoma In Vitro and In Vivo
by Alina A. Filatova, Ludmila A. Alekseeva, Aleksandra V. Sen’kova, Innokenty A. Savin, Khetam Sounbuli, Marina A. Zenkova and Nadezhda L. Mironova
Int. J. Mol. Sci. 2024, 25(10), 5304; https://doi.org/10.3390/ijms25105304 - 13 May 2024
Viewed by 887
Abstract
It is widely postulated that the majority of pathologically elevated extracellular or cell-free DNA (cfDNA) in cancer originates from tumor cells; however, evidence has emerged regarding the significant contributions of other cells from the tumor microenvironment. Here, the effect of cfDNA originating from [...] Read more.
It is widely postulated that the majority of pathologically elevated extracellular or cell-free DNA (cfDNA) in cancer originates from tumor cells; however, evidence has emerged regarding the significant contributions of other cells from the tumor microenvironment. Here, the effect of cfDNA originating from murine B16 melanoma cells and L929 fibroblasts on B16 cells was investigated. It was found that cfDNAL929 increased the viability and migration properties of B16 cells in vitro and their invasiveness in vivo. In contrast, cfDNAB16 exhibited a negative effect on B16 cells, reducing their viability and migration in vitro, which in vivo led to decreased tumor size and metastasis number. It was shown that cell treatment with both cfDNAs resulted in an increase in the expression of genes encoding DNases and the oncogenes Braf, Kras, and Myc. cfDNAL929-treated cells were shown to experience oxidative stress. Gene expression changes in the case of cfDNAB16 treatment are well correlated with the observed decrease in proliferation and migration of B16 cells. The obtained data may indicate the possible involvement of fibroblast DNA in the tumor microenvironment in tumor progression and, potentially, in the formation of new tumor foci due to the transformation of normal cells. Full article
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17 pages, 2357 KiB  
Article
Tumor and Peritoneum-Associated Macrophage Gene Signature as a Novel Molecular Biomarker in Gastric Cancer
by Kevin M. Sullivan, Haiqing Li, Annie Yang, Zhifang Zhang, Ruben R. Munoz, Kelly M. Mahuron, Yate-Ching Yuan, Isaac Benjamin Paz, Daniel Von Hoff, Haiyong Han, Yuman Fong and Yanghee Woo
Int. J. Mol. Sci. 2024, 25(7), 4117; https://doi.org/10.3390/ijms25074117 - 8 Apr 2024
Cited by 1 | Viewed by 2467
Abstract
A spectrum of immune states resulting from tumor resident macrophages and T-lymphocytes in the solid tumor microenvironment correlates with patient outcomes. We hypothesized that in gastric cancer (GC), macrophages in a polarized immunosuppressive transcriptional state would be prognostic of poor survival. We derived [...] Read more.
A spectrum of immune states resulting from tumor resident macrophages and T-lymphocytes in the solid tumor microenvironment correlates with patient outcomes. We hypothesized that in gastric cancer (GC), macrophages in a polarized immunosuppressive transcriptional state would be prognostic of poor survival. We derived transcriptomic signatures for M2 (M2TS, MRC1; MS4A4A; CD36; CCL13; CCL18; CCL23; SLC38A6; FGL2; FN1; MAF) and M1 (M1TS, CCR7; IL2RA; CXCL11; CCL19; CXCL10; PLA1A; PTX3) macrophages, and cytolytic T-lymphocytes (CTLTS, GZMA; GZMB; GZMH; GZMM; PRF1). Primary GC in a TCGA stomach cancer dataset was evaluated for signature expressions, and a log-rank test determined overall survival (OS) and the disease-free interval (DFI). In 341 TCGA GC entries, high M2TS expression was associated with histological types and later stages. Low M2TS expression was associated with significantly better 5-year OS and DFI. We validated M2TS in prospectively collected peritoneal fluid of a GC patient cohort (n = 28). Single-cell RNA sequencing was used for signature expression in CD68+CD163+ cells and the log-rank test compared OS. GC patients with high M2TS in CD68+CD163+ cells in their peritoneal fluid had significantly worse OS than those with low expression. Multivariate analyses confirmed M2TS was significantly and independently associated with survival. As an independent predictor of poor survival, M2TS may be prognostic in primary tumors and peritoneal fluid of GC patients. Full article
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14 pages, 8069 KiB  
Article
Overexpression of RAB27A in Oral Squamous Cell Carcinoma Promotes Tumor Migration and Invasion via Modulation of EGFR Membrane Stability
by Jue Huang, Jie-Gang Yang, Jian-Gang Ren, Hou-Fu Xia, Gao-Hong Chen, Qiu-Yun Fu, Lin-Zhou Zhang, Hai-Ming Liu, Kui-Ming Wang, Qi-Hui Xie and Gang Chen
Int. J. Mol. Sci. 2023, 24(17), 13103; https://doi.org/10.3390/ijms241713103 - 23 Aug 2023
Cited by 3 | Viewed by 1489
Abstract
Oral squamous cell carcinoma (OSCC) is the most prevalent subtype of head and neck tumors, highly prone to lymph node metastasis. This study aims to examine the expression pattern of Ras-related protein Rab-27A (RAB27A) and explore its potential implications in OSCC. The expression [...] Read more.
Oral squamous cell carcinoma (OSCC) is the most prevalent subtype of head and neck tumors, highly prone to lymph node metastasis. This study aims to examine the expression pattern of Ras-related protein Rab-27A (RAB27A) and explore its potential implications in OSCC. The expression of RAB27A was assessed through immunohistochemical analysis utilizing tissue microarrays. In vitro experiments were conducted using RAB27A-knockdown cells to investigate its impact on OSCC tumor cells. Additionally, transcriptome sequencing was performed to elucidate potential underlying mechanisms. RAB27A was significantly overexpressed in OSCC, and particularly in metastatic lymph nodes. It was positively correlated with the clinical progression and poor survival prognosis. Silencing RAB27A notably decreased the proliferation, migration, and invasion abilities of OSCC cells in vitro. A Gene Ontology (GO) enrichment analysis indicated a strong association between RAB27A and the epidermal growth factor receptor (EGFR) signaling pathway. Further investigations revealed that RAB27A regulated the palmitoylation of EGFR via zinc finger DHHC-type containing 13 (ZDHHC13). These findings provide insights into OSCC progression and highlight RAB27A as a potential therapeutic target for combating this aggressive cancer. Full article
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Review

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22 pages, 2984 KiB  
Review
The MCIB Model: A Novel Theory for Describing the Spatial Heterogeneity of the Tumor Microenvironment
by Minghao Guo, Yinan Sun, Xiaohui Wang, Zikun Wang, Xun Yuan, Xinyi Chen, Xianglin Yuan and Lu Wang
Int. J. Mol. Sci. 2024, 25(19), 10486; https://doi.org/10.3390/ijms251910486 - 29 Sep 2024
Viewed by 530
Abstract
The tumor microenvironment (TME) can be regarded as a complex and dynamic microecosystem generated by the interactions of tumor cells, interstitial cells, the extracellular matrix, and their products and plays an important role in the occurrence, progression and metastasis of tumors. In a [...] Read more.
The tumor microenvironment (TME) can be regarded as a complex and dynamic microecosystem generated by the interactions of tumor cells, interstitial cells, the extracellular matrix, and their products and plays an important role in the occurrence, progression and metastasis of tumors. In a previous study, we constructed an IEO model (prI-, prE-, and pOst-metastatic niche) according to the chronological sequence of TME development. In this paper, to fill the theoretical gap in spatial heterogeneity in the TME, we defined an MCIB model (Metabolic, Circulatory, Immune, and microBial microenvironment). The MCIB model divides the TME into four subtypes that interact with each other in terms of mechanism, corresponding to the four major links of metabolic reprogramming, vascular remodeling, immune response, and microbial action, providing a new way to assess the TME. The combination of the MCIB model and IEO model comprehensively depicts the spatiotemporal evolution of the TME and can provide a theoretical basis for the combination of clinical targeted therapy, immunotherapy, and other comprehensive treatment modalities for tumors according to the combination and crosstalk of different subtypes in the MCIB model and provide a powerful research paradigm for tumor drug-resistance mechanisms and tumor biological behavior. Full article
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