Next Article in Journal
Bacterial Autofluorescence Digital Imaging Guides Treatment in Stage 4 Pelvic Pressure Injuries: A Preliminary Case Series
Previous Article in Journal
Lung Nodules in Melanoma Patients: Morphologic Criteria to Differentiate Non-Metastatic and Metastatic Lesions
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Interesting Images

Burst of Corneal Dendritic Cells during Trastuzumab and Paclitaxel Treatment

1
Department of Ophthalmology, Rostock University Medical Center, 18057 Rostock, Germany
2
Department of Obstetrics and Gynecology, University of Rostock, 18059 Rostock, Germany
3
Department Life, Light & Matter, University of Rostock, 18059 Rostock, Germany
4
Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Diagnostics 2021, 11(5), 838; https://doi.org/10.3390/diagnostics11050838
Submission received: 26 March 2021 / Revised: 4 May 2021 / Accepted: 5 May 2021 / Published: 7 May 2021
(This article belongs to the Section Biomedical Optics)

Abstract

:
During breast cancer therapy, paclitaxel and trastuzumab are both associated with adverse effects such as chemotherapy-induced peripheral neuropathy and other systemic side effects including ocular complications. Corneal nerves are considered part of the peripheral nervous system and can be imaged non-invasively by confocal laser scanning microscopy (CLSM) on the cellular level. Thus, in vivo CLSM imaging of structures of the corneal subbasal nerve plexus (SNP) such as sensory nerves or dendritic cells (DCs) can be a powerful tool for the assessment of corneal complications during cancer treatment. During the present study, the SNP of a breast cancer patient was analyzed over time by using large-scale in vivo CLSM in the course of paclitaxel and trastuzumab therapy. The same corneal regions could be re-identified over time. While the subbasal nerve morphology did not alter significantly, a change in dendritic cell density and an additional local burst within the first 11 weeks of therapy was detected, indicating treatment-mediated corneal inflammatory processes. Ocular structures such as nerves and dendritic cells could represent useful biomarkers for the assessment of ocular adverse effects during cancer therapy and their management, leading to a better visual prognosis.

Background: Cancer is the leading cause of death in the developed world, and besides the traditional non-surgical treatments, including radiation and chemotherapeutic drugs, the current trend is focused on using targeted biological therapies eliminating cancer cells only or interfering with tumor growth and progression by specific molecules or antibodies [1,2]. Although biological therapy is less toxic to healthy cells compared to chemotherapy, biological treatments can also lead to numerous systemic side effects [1,2].
In human epidermal growth factor receptor (HER)-2-positive breast cancer, the standard systemic treatment consists of the combination of paclitaxel-based chemotherapy and an anti-HER-2-antibody treatment using trastuzumab. One of the potentially dose-limiting side effects of paclitaxel treatment is chemotherapy-induced peripheral neuropathy (CIPN). The predominantly sensory neuropathy can affect large and small nerve fibers by damaging large-diameter sensory myelinated (Aβ) fibers or dorsal root ganglia (DRG) cells [3]. Although improvement of nerve function after canceling cytostatic therapy is possible, sometimes CIPN causes permanent impairment of quality of life. The gold standard in the diagnosis of CIPN is nerve conduction studies with regard to the sural nerve. For early/preclinical detection of CIPN, no validated biomarker exists yet. Ferdousi et al. reported small fiber neuropathy of corneal nerve plexus detected by in vivo confocal laser scanning microscopy (CLSM) in patients with upper gastrointestinal cancer and treatment with platinum-based chemotherapy [4]. In a very recent study by Chiang et al. [5], in vivo CLSM revealed a significant reduction in corneal nerve fibers in patients with paclitaxel-induced neuropathy. Moreover, corneal changes detected by in vivo CLSM were also found in breast cancer patients treated with trastuzumab [6,7,8].
The cornea is considered to be the most densely innervated tissue in the human body, and corneal nerves, which arise from the ophthalmic branch of the trigeminal nerve, are considered part of the peripheral nervous system [9]. Native corneal nerves can be imaged non-invasively by in vivo CLSM. Moreover, this method offers the ability to examine the same corneal region repeatedly over time without causing tissue damage. In vivo CLSM generates surface-parallel images of the native cornea with cellular resolution, and it can be used to image dendritic cells (DCs) as well as nerves from the subbasal nerve plexus (SNP) with high contrast [10]. Moreover, several studies have shown that SNP changes are not characteristic of one specific corneal pathology but rather reflect non-specific pathological processes that are present in many corneal, ocular, or systemic diseases [11,12,13] or arise as a result of a therapy regime, such as that used to treat multiple myeloma [14] or breast cancer [6,7,8]. Thus, time-lapsed in vivo CLSM-based cell imaging of biomarkers such as corneal sensory nerves or DCs could be a promising tool for the early detection of corneal changes in patients. Consequently, corneal in vivo CLSM could be used as a surrogate or even prognostic marker for CIPN or ocular adverse events in association with antibody-drug administration.
During conventional in vivo CLSM, a single image of 0.16 mm2 covers approximately 0.2% of the average corneal surface, which is insufficient for reliable morphometric assessment of the complete SNP [11]. Moreover, the technique is very dependent on the skills of the operator, and the imaging of the same topographical location in repeated examinations is randomly or nearly impossible. Within this study, in vivo large-area CLSM imaging was applied, generating mosaic images covering between 3 and 4 mm2 of the SNP [15,16]. This report represents the first longitudinal evaluation of the SNP of a HER-2 positive breast cancer patient during paclitaxel and trastuzumab therapy by in vivo large-area CLSM.
Patient history: A 52-year-old woman with HER-2-positive breast cancer has received adjuvant cytotoxic chemotherapy in combination with Anti-HER-2 antibody (trastuzumab) therapy. The patient has a body mass index of 33.9 (adipositas grade I) and no further significant history of alcohol abuse, diabetes, diseases of the nervous system, systemic conditions, or further medical features. The regime of the chemotherapy was paclitaxel 80 mg/m2 weekly and trastuzumab, starting with a loading dose of 8 mg/kg followed by 6 mg/kg every 3 weeks. Seven courses of paclitaxel and three courses of trastuzumab were administered. Paclitaxel therapy was stopped because the patient developed relevant CIPN. Antibody treatment was continued for a total of one year. The cumulative dose of paclitaxel was 1097.6 mg and of trastuzumab 1820 mg. For surveillance of a possible occurrence of polyneuropathy under paclitaxel treatment, nerve function sensitivity was evaluated regularly by the neuropathy symptom score (NSS) and the neuropathy deficit score (NDS). The assessment included specific questions regarding neurological symptoms (sensory, motor) with particular attention to neuropathic pain and paraesthesia occurrence, patella and Achilles tendon reflex, sense of vibration and thermoregulatory disturbance, and sensation in the feet. While the NDS score remained low, the NSS score ranged from mild at the onset of therapy to severe at 11 weeks after the start of therapy. The patient was regularly seen in our outpatient eye-clinic and underwent a complete ophthalmologic examination, i.e., determination of visual acuity, intraocular pressure, corneal esthesiometry (Cochet-Bonnet), and slit-lamp examination with fundoscopy showing no clinically relevant findings.
Large area in vivo CLSM of the patient’s cornea: The patient underwent in vivo large-area CLSM at three separate sessions, with subsequent morphometric assessment of the subbasal nerve plexus (SNP). The follow-up sessions took place 6 weeks (47 days) and 11 weeks (78 days) after the baseline date. The imaging system combines a Heidelberg Retina Tomograph 3 (HRT 3, Heidelberg Engineering GmbH, Heidelberg, Germany) with the experimental Rostock Cornea Module 2.0 (modified RCM, Heidelberg Engineering GmbH, Heidelberg, Germany) and the EyeGuidance system [15,17,18]. During image acquisition, the EyeGuidance system presents a moving fixation target to the contralateral eye, inducing smooth pursuit eye movements (of both eyes) along a predefined spiral path. By using the recorded image data, the mosaic images are generated in a subsequent process. An in-depth description and discussion of the image acquisition and processing procedure is available in [15]. The assignment of identical areas in the mosaic images taken at different sessions was done by comparing the present ridge-like deformations within the SNP, which were described by Kobayashi [19] and termed K-structures. These structures strongly align with the anterior corneal mosaic (ACM) which was first described by Bron in 1968 [20,21]. The ACM can be observed by slit-lamp examination after instillation of fluorescin into the conjunctival sac and a massage of the cornea on the surface of the corneal epithelium through the lids [20]. This ACM pattern disappears after a short period of time and can be re-induced again after pressure on the cornea [20]. In vivo CLSM also induces pressure on the corneal surface via the contact element (TomoCap; Heidelberg Engineering, Heidelberg, Germany), leading to the formation of the K-structures at the level of the SNP. The following Figure 1 and Figure 2 show the SNP of our patient during paclitaxel and trastuzumab treatment by in vivo large-area CLSM.
Increase in DC density and a burst at 11 weeks of therapy: While the nerve morphology remained stable during the tracked weeks of therapy, the DC density increased over time and showed a regional burst at 11 weeks (Figure 2). In order to compare the regional differences of DC densities within the same mosaic image after 11 weeks of treatment, the amount of DCs within the white insets (size 500 µm × 500 µm) in Figure 1 was analyzed manually in triplicate. The upper inset, which was located within the region presenting a higher number of DCs, showed a mean of 244 DCs, whereas the lower inset showed a mean of 52 DCs, being 4.6 times smaller than the density within the upper inset. In order to compare DC density over time and within identical areas, a manual quantification of DCs within the red marked areas (Figure 2) was performed using ImageJ and the CellCounter plugin. The number of DCs was analyzed in triplicate, showing medians of 71 DCs at baseline, 171 DCs after 6 weeks, and 457 DCs at 11 weeks of therapy. In summary, the number of DCs increased by about 2.5 times within the first 6 weeks and more than sixfold after 11 weeks of treatment, indicating ongoing inflammatory processes during cancer therapy of the patient.
Therapy-induced changes in the patient’s SNP: The in vivo large-area CLSM applied herein allowed the monitoring of the patient’s SNP over time. We were able to assign identical areas and could detect a regional burst in DC density increasing with time, indicating local inflammatory processes. Corneal DCs are professional antigen-presenting cells, which play a significant role in the innate and adaptive immune system during corneal homeostasis and wound healing. The morphology and density of DCs change upon stimulation, resulting in maturation and increase in cell size as well as formation and lengthening of dendrites. In an in vivo CLSM study by Mastropasqua et al., the density, distribution, and morphology of DCs were analyzed in normal subjects, photorefractive keratectomy (PRK) patients and patients affected by immune-mediated corneal inflammation [22]. DC densities were significantly higher at the limbus compared to the central cornea in each group. Moreover, the DC densities were higher in inflamed eyes at both locations, the central cornea, and the limbus when compared with the normal and the PRK group [22]. The authors described that inflammation of wound healing, for example, after PRK, is likely different to inflammation of infection or immune-mediated reactions as DCs presence and density of PRK eyes was similar to normal eyes as to inflamed eyes [22]. The DC population by eyes affected by immune-mediated inflammation presented major differences compared to the control group. Besides higher densities at the limbus and central cornea, the morphologic features differed as well. The DCs of inflamed eyes showed larger cell size and reflectivity, more dendritic processes, a frequent “cluster-distribution” and possible association with coexisting globular cells compared to control eyes [22]. In the present study, the scans were performed at the central cornea of the patient. The detected DC morphology and increasing density during therapy with a regional burst implies ongoing inflammation or immune-mediated reactions caused by the paclitaxel and/or trastuzumab treatment.
Trastuzumab binds specifically to HER2-positive cancer cells and down-regulates their downstream signaling cascades, leading to inhibition of proliferation and survival [23]. Although antibody drug-conjugates (ADCs) such as trastuzumab were designed to enhance tissue specificity, the presence of similar targets in healthy tissues results in a variety of drug-related toxicities including ocular toxicities [24]. Specifically, HER2 is a member of the human epidermal growth factor receptor (EGFR) family, and HER1 (EGFR), HER2 (ErbB2), and HER3 (ErbB3) have been detected in corneal, limbal, and conjunctival epithelium [25]. Moreover, EGFR signaling has been found to be necessary and sufficient for corneal epithelial migration, proliferation, and differentiation, and examination of different EGFR ligands indicated that epidermal growth factor is the primary mediator of corneal epithelial homeostasis [26]. Considering this pivotal role of EGFR and its ligands on the ocular surface, anti-cancer treatments targeting EGFR likely result in corneal complications. The cytotoxicity is probably related to intracellular accumulation of the active metabolite in normal corneal epithelial cells [8,24]. Trastuzumab-mediated ocular adverse effects include a variety of symptoms such as conjunctivitis, dry eye, increased lacrimation, and blurred vision. [24]. In some recent case reports, progressive corneal ulcerative damage [27], corneal lesions [7], and cystoid lesions in deep corneal epithelium [6] due to treatment with trastuzumab were reported. Most of these adverse effects were described to be stationary and reversible and did not require ocular treatment or cessation of systemic treatment [8].
Notably, in a cross-sectional study regarding corneal features in trastuzumab emtansine treatment by Deklerck et al. [8], hyperreflective lesions likely representing necrotic cells at the level of wing cells and an increased presence of dendritic cells at the level of the SNP were described. According to [8], the increased presence of dendritic cells supports the hypothesis of ADC-associated corneal toxicity with a low-grade local inflammatory response. The results of [8,22,28] support the findings presented here regarding the distribution and morphology of DCs in the patient’s SNP, indicating treatment-mediated local inflammatory response in the cornea. The reasons why these local clusters of DCs occur and why some regions seem to be more attractive than others, however, remain open for discussion within the community. In the future, in-depth longitudinal CLSM studies involving a prospective cohort, where patients are followed prior to, during, and after chemotherapy treatment are required. This will help to translate the gained data and to better understand the nature of these findings and the impact of trastuzumab or paclitaxel.
Conclusions: The large-scale in vivo CLSM technique used herein enabled the longitudinal detection of the SNP of a patient in the course of the treatment regimen. While the subbasal nerves did not alter significantly, we could detect a change in DC density within the first 11 weeks of treatment. The detected increase in DC density, as well as the local burst, implied an inflammatory response likely caused by trastuzumab treatment. As paclitaxel and trastuzumab were associated with ocular adverse events, baseline and regular follow-up screenings would be of great clinical benefit, and the ideal management of these therapy-induced ocular complications would require a close partnership between oncologists and ophthalmologists. The in vivo large-area CLSM applied herein could be used for both the identification of therapy-mediated adverse effects and the longitudinal monitoring of disease progression. Ocular structures such as subbasal nerves and dendritic cells could be of great value as potential biomarkers for the assessment of the severity of adverse effects and the outcome for the patients. Accordingly, patients who start biological treatment should be screened by ophthalmologists on a regular basis. The early detection of ocular side effects during cancer therapy may lead to a better visual prognosis.

Author Contributions

Conception and design of the work, O.S. and A.S.; acquisition, processing, and analysis of the data, N.S., S.B., S.A., B.K., A.B., C.G.; interpretation of data, K.A.S., R.F.G.; drafting the work, K.A.S., A.S.; critical revision for important intellectual content, all authors; final approval of the version to be published, all authors; agreement to the integrity and accuracy of the work, all authors. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the German Federal Ministry of Education and Research (Antifibrotix, 03VP06230) as well as by the German Research Foundation (grant number KO 5003/1-2, STA 543/6-2, MI 1315/5-2).

Institutional Review Board Statement

Approval of the applicable Ethics Committee of the University of Rostock in accordance with applicable laws, rules, and regulations was obtained on 19th February 2020 (A 2018-0162). All performed examinations and experiments were in accordance with the applicable laws, rules, and regulations of the University of Rostock.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

The authors wish to thank the whole team of the Department of Ophthalmology and Department Life, Light & Matter at the University Rostock (Rostock, Germany) for support and numerous fruitful discussions. In particular, the authors would like to thank Karsten Sperlich, Joachim Stave, Thomas Stahnke, and Marcus Walckling for their substantial and valuable contribution that helped make this project successful. We acknowledge financial support by Deutsche Forschungsgemeinschaft and Universität Rostock/Universitätsmedizin Rostock within the funding programme Open Access Publishing.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Kroschinsky, F.; Stölzel, F.; von Bonin, S.; Beutel, G.; Kochanek, M.; Kiehl, M.; Schellongowski, P. New drugs, new toxicities: Severe side effects of modern targeted and immunotherapy of cancer and their management. Crit. Care 2017, 21, 1–11. [Google Scholar] [CrossRef] [Green Version]
  2. Vishnevskia-Dai, V.; Rozner, L.; Berger, R.; Jaron, Z.; Elyashiv, S.; Markel, G.; Zloto, O. Ocular side effects of novel anti-cancer biological therapies. Sci. Rep. 2021, 11, 1–7. [Google Scholar] [CrossRef]
  3. Argyriou, A.A.; Park, S.B.; Islam, B.; Tamburin, S.; Velasco, R.; Alberti, P.; Bruna, J.; Psimaras, D.; Cavaletti, G.; Cornblath, D.R. Neurophysiological, nerve imaging and other techniques to assess chemotherapy-induced peripheral neurotoxicity in the clinical and research settings. J. Neurol. Neurosurg. Psychiatry 2019, 90, 1361–1369. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Ferdousi, M.; Azmi, S.; Petropoulos, I.N.; Fadavi, H.; Ponirakis, G.; Marshall, A.; Tavakoli, M.; Malik, I.; Mansoor, W.; Malik, R.A. Corneal Confocal Microscopy Detects Small Fibre Neuropathy in Patients with Upper Gastrointestinal Cancer and Nerve Regeneration in Chemotherapy Induced Peripheral Neuropathy. PLoS ONE 2015, 10, e0139394. [Google Scholar] [CrossRef] [Green Version]
  5. Chiang, J.C.B.; Goldstein, D.; Trinh, T.; Au, K.; Park, S.B.; Krishnan, A.V.; Markoulli, M. A cross-sectional study of ocular surface discomfort and corneal nerve dysfunction after paclitaxel treatment for cancer. Sci. Rep. 2021, 11, 1–10. [Google Scholar] [CrossRef]
  6. Kreps, E.O.; Derveaux, T.; Denys, H. Corneal Changes in Trastuzumab Emtansine Treatment. Clin. Breast Cancer 2018, 18, e427–e429. [Google Scholar] [CrossRef]
  7. Tsuda, M.; Takano, Y.; Shigeyasu, C.; Imoto, S.; Yamada, M. Abnormal corneal lesions induced by trastuzumab emtansine: An antibody-drug conjugate for breast cancer. Cornea 2016, 35, 1378–1380. [Google Scholar] [CrossRef] [PubMed]
  8. Deklerck, E.; Denys, H.; Kreps, E.O. Corneal features in trastuzumab emtansine treatment: Not a rare occurrence. Breast Cancer Res. Treat. 2019, 175, 525–530. [Google Scholar] [CrossRef]
  9. Nguyen, J.; Duong, H. Anatomy, Head and Neck, Eye Nerves; StatPearls Publishing: Treasure Island, FL, USA, 2020. [Google Scholar]
  10. Lagali, N.; Bourghardt, B.; Germundsson, J.; Edén, U.; Danyali, R.; Rinaldo, M.; Fagerholm, M.R.A.P. Laser-Scanning in vivo Confocal Microscopy of the Cornea: Imaging and Analysis Methods for Preclinical and Clinical Applications. In Confocal Laser Microscopy—Principles and Applications in Medicine, Biology, and the Food Sciences; IntechOpen: London, UK, 2013. [Google Scholar]
  11. Kokot, J.; Wylęgała, A.; Wowra, B.; Wójcik, Ł.; Dobrowolski, D.; Wylęgała, E. Corneal confocal sub-basal nerve plexus evaluation: A review. Acta Ophthalmol. 2018, 96, 232–242. [Google Scholar] [CrossRef] [Green Version]
  12. Mansoor, H.; Tan, H.C.; Lin, M.T.-Y.; Mehta, J.S.; Liu, Y.-C. Diabetic Corneal Neuropathy. J. Clin. Med. 2020, 9, 3956. [Google Scholar] [CrossRef]
  13. Wang, E.F.; Misra, S.L.; Patel, D.V. In Vivo Confocal Microscopy of the Human Cornea in the Assessment of Peripheral Neuropathy and Systemic Diseases. BioMed Res. Int. 2015, 2015, 1–11. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Koschmieder, A.; Stachs, O.; Kragl, B.; Stahnke, T.; Sterenczak, K.A.; Henze, L.; Jünemann, A.G.; Junghanss, C.; Guthoff, R.F.; Escobar, H.M.; et al. Non-invasive detection of corneal sub-basal nerve plexus changes in multiple myeloma patients by Confocal Laser Scanning Microscopy Running Head: CSLM neuroma detection in multiple myeloma patients. Biosci. Rep. 2020, 40. [Google Scholar] [CrossRef]
  15. Allgeier, S.; Bartschat, A.; Bohn, S.; Peschel, S.; Reichert, K.-M.; Sperlich, K.; Walckling, M.; Hagenmeyer, V.; Mikut, R.; Stachs, O.; et al. 3D confocal laser-scanning microscopy for large-area imaging of the corneal subbasal nerve plexus. Sci. Rep. 2018, 8, 1–10. [Google Scholar] [CrossRef]
  16. Köhler, B.; Bretthauer, G.; Guthoff, R.F.; Reichert, K.-M.; Sieber, I.; Stachs, O.; Toso, L.; Allgeier, S. EyeGuidance—A computer controlled system to guide eye movements. Curr. Dir. Biomed. Eng. 2016, 2, 433–436. [Google Scholar] [CrossRef] [Green Version]
  17. Allgeier, S.; Maier, S.; Mikut, R.; Peschel, S.; Reichert, K.-M.; Stachs, O.; Köhler, B. Mosaicking the Subbasal Nerve Plexus by Guided Eye Movements. Investig. Opthalmol. Vis. Sci. 2014, 55, 6082–6089. [Google Scholar] [CrossRef] [Green Version]
  18. Bohn, S.; Sperlich, K.; Allgeier, S.; Bartschat, A.; Prakasam, R.; Reichert, K.-M.; Stolz, H.; Guthoff, R.; Mikut, R.; Köhler, B.; et al. Cellular in vivo 3D imaging of the cornea by confocal laser scanning microscopy. Biomed. Opt. Express 2018, 9, 2511–2525. [Google Scholar] [CrossRef]
  19. Kobayashi, A.; Yokogawa, H.; Sugiyama, K. In Vivo Laser Confocal Microscopy of Bowman’s Layer of the Cornea. Ophthalmology 2006, 113, 2203–2208. [Google Scholar] [CrossRef]
  20. Bron, A.J. Anterior corneal mosaic. Br. J. Ophthalmol. 1968, 52, 659–669. [Google Scholar] [CrossRef] [Green Version]
  21. Yokogawa, H.; Kobayashi, A.; Sugiyama, K. Mapping of Normal Corneal K-Structures by In Vivo Laser Confocal Microscopy. Cornea 2008, 27, 879–883. [Google Scholar] [CrossRef]
  22. Mastropasqua, L.; Nubile, M.; Lanzini, M.; Carpineto, P.; Ciancaglini, M.; Pannellini, T.; Di Nicola, M.; Dua, H.S. Epithelial Dendritic Cell Distribution in Normal and Inflamed Human Cornea: In Vivo Confocal Microscopy Study. Am. J. Ophthalmol. 2006, 142, 736–744. [Google Scholar] [CrossRef]
  23. Ho, W.L.; Wong, H.; Yau, T. The ophthalmological complications of targeted agents in cancer therapy: What do we need to know as ophthalmologists? Acta Ophthalmol. 2013, 91, 604–609. [Google Scholar] [CrossRef] [Green Version]
  24. Eaton, J.S.; Miller, P.E.; Mannis, M.J.; Murphy, C.J. Ocular Adverse Events Associated with Antibody–Drug Conjugates in Human Clinical Trials. J. Ocul. Pharmacol. Ther. 2015, 31, 589–604. [Google Scholar] [CrossRef] [PubMed]
  25. Liu, Z.; Carvajal, M.; Carraway, C.A.C.; Carraway, K.; Pflugfelder, S.C. Expression of the Receptor Tyrosine Kinases, Epidermal Growth Factor Receptor, ErbB2, and ErbB3, in Human Ocular Surface Epithelia. Cornea 2001, 20, 81–85. [Google Scholar] [CrossRef] [PubMed]
  26. Peterson, J.L.; Phelps, E.D.; Doll, M.A.; Schaal, S.; Ceresa, B.P. The Role of Endogenous Epidermal Growth Factor Receptor Ligands in Mediating Corneal Epithelial Homeostasis. Investig. Opthalmol. Vis. Sci. 2014, 55, 2870–2880. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Orlandi, A.; Fasciani, R.; Cassano, A.; Agresta, A.; Calegari, M.A.; Caporossi, A.; Barone, C. Trastuzumab-induced corneal ulceration: Successful no-drug treatment of a “blind” side effect in a case report. BMC Cancer 2015, 15, 973. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Knappe, S.; Stave, J.; Guthoff, R.F. Keratoconjunctivitis epidemica: In-vivo-darstellung kornealer strukturen mit dem konfokalen Rostocker laser-scanning-mikroskop (RLSM). Der Ophthalmologe 2005, 102, 798–801. [Google Scholar] [CrossRef]
Figure 1. In vivo large-area confocal laser scanning microscopy (CLSM) of the subbasal nerve plexus (SNP) of a human epidermal growth factor receptor (HER)-2 positive breast cancer patient during paclitaxel and trastuzumab therapy. Left side: Human cornea, size and location of the performed in vivo large-area CLSM scan and comparison to conventional CLSM image size (black square). Right side: The patient’s SNP 11 weeks after the start of therapy. Local differences in dendritic cell (DC) density could be observed. White insets: regional differences in DC density in different areas of the same mosaic image.
Figure 1. In vivo large-area confocal laser scanning microscopy (CLSM) of the subbasal nerve plexus (SNP) of a human epidermal growth factor receptor (HER)-2 positive breast cancer patient during paclitaxel and trastuzumab therapy. Left side: Human cornea, size and location of the performed in vivo large-area CLSM scan and comparison to conventional CLSM image size (black square). Right side: The patient’s SNP 11 weeks after the start of therapy. Local differences in dendritic cell (DC) density could be observed. White insets: regional differences in DC density in different areas of the same mosaic image.
Diagnostics 11 00838 g001
Figure 2. Longitudinal in vivo large-area CLSM scans of the SNP of a HER-2 positive breast cancer patient during paclitaxel and trastuzumab therapy. From top to bottom: The patient’s SNP before treatment, at 6 weeks, and at 11 weeks of treatment. Identical areas within all reconstructed images (left side: red areas, right side: enlarged view of red marked areas) could be assigned by characteristic recurring patterns (yellow arrows). During the therapy regimen, the DC density increased and showed a regional burst at 11 weeks after the start of therapy. The bar plot shows the manual count of DC density over time within identical areas. Nerve fiber density and morphology remained stable except for minor fluctuations. Red area: identical area; green area and inset: DC density.
Figure 2. Longitudinal in vivo large-area CLSM scans of the SNP of a HER-2 positive breast cancer patient during paclitaxel and trastuzumab therapy. From top to bottom: The patient’s SNP before treatment, at 6 weeks, and at 11 weeks of treatment. Identical areas within all reconstructed images (left side: red areas, right side: enlarged view of red marked areas) could be assigned by characteristic recurring patterns (yellow arrows). During the therapy regimen, the DC density increased and showed a regional burst at 11 weeks after the start of therapy. The bar plot shows the manual count of DC density over time within identical areas. Nerve fiber density and morphology remained stable except for minor fluctuations. Red area: identical area; green area and inset: DC density.
Diagnostics 11 00838 g002
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Sterenczak, K.A.; Stache, N.; Bohn, S.; Allgeier, S.; Köhler, B.; Bartschat, A.; George, C.; Guthoff, R.F.; Stachs, O.; Stachs, A. Burst of Corneal Dendritic Cells during Trastuzumab and Paclitaxel Treatment. Diagnostics 2021, 11, 838. https://doi.org/10.3390/diagnostics11050838

AMA Style

Sterenczak KA, Stache N, Bohn S, Allgeier S, Köhler B, Bartschat A, George C, Guthoff RF, Stachs O, Stachs A. Burst of Corneal Dendritic Cells during Trastuzumab and Paclitaxel Treatment. Diagnostics. 2021; 11(5):838. https://doi.org/10.3390/diagnostics11050838

Chicago/Turabian Style

Sterenczak, Katharina A., Nadine Stache, Sebastian Bohn, Stephan Allgeier, Bernd Köhler, Andreas Bartschat, Christian George, Rudolf F. Guthoff, Oliver Stachs, and Angrit Stachs. 2021. "Burst of Corneal Dendritic Cells during Trastuzumab and Paclitaxel Treatment" Diagnostics 11, no. 5: 838. https://doi.org/10.3390/diagnostics11050838

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop