Abstract
Immune cell infiltration has been implicated in neurotoxic chemotherapy for cancer treatment. However, our understanding of immune processes is still incomplete and current methods of observing immune cells are time consuming or invasive. Corneal dendritic cells are potent antigen-presenting cells and can be imaged with in-vivo corneal confocal microscopy. Corneal dendritic cell densities and nerve parameters in patients treated with neurotoxic chemotherapy were investigated. Patients treated for cancer with oxaliplatin (n = 39) or paclitaxel (n = 48), 3 to 24 months prior to assessment were recruited along with 40 healthy controls. Immature (ImDC), mature (MDC) and total dendritic cell densities (TotalDC), and corneal nerve parameters were analyzed from in-vivo corneal confocal microscopy images. ImDC was increased in the oxaliplatin group (Median, Md = 22.7 cells/mm2) compared to healthy controls (Md = 10.1 cells/mm2, p = 0.001), but not in the paclitaxel group (Md = 10.6 cells/mm2). ImDC was also associated with higher oxaliplatin cumulative dose (r = 0.33, p = 0.04) and treatment cycles (r = 0.40, p = 0.01). There was no significant difference in MDC between the three groups (p > 0.05). Corneal nerve parameters were reduced in both oxaliplatin and paclitaxel groups compared to healthy controls (p < 0.05). There is evidence of elevation of corneal ImDC in oxaliplatin-treated patients. Further investigation is required to explore this potential link through longitudinal studies and animal or laboratory-based immunohistochemical research.
Introduction
Platinum-based and taxane chemotherapeutic drugs are widely used in cancer treatment and are associated with potential peripheral neurotoxicity1. Chemotherapy-induced peripheral neuropathy is associated with debilitating and potentially chronic symptoms including numbness, paresthesia and compromised function, impacting up to 30% of cancer survivors2, with consequent adverse impact on quality of life and socioeconomic burden3,4. While the mechanisms underlying neurotoxicity are not fully understood, both axonal degenerative and neuroinflammatory processes have been implicated1,5. Studies of oxaliplatin and paclitaxel, two of the most commonly prescribed cytotoxic agents associated with peripheral neuropathy, have raised the possibility of the role of systemic inflammation in contributing to neurotoxicity5,6. Immune cell infiltration, particularly in the dorsal root ganglion, has also been investigated in their role in neurotoxicity5,7,8,9, although most studies are centered around animal models with limited research in humans10. In-vivo methods of observing and monitoring immune cell behavior is also lacking.
The cornea is a unique model for studying neural and immune changes because of its clarity and accessibility for in-vivo imaging. Corneal confocal microscopy is a powerful instrument used in clinical research to observe microscopic changes in patients with both ocular and systemic pathologies particularly peripheral neuropathic conditions11,12. It is capable of non-invasive high-resolution imaging of small nerve fibers and resident immune cells, namely dendritic cells, in the subbasal nerve plexus of the cornea. This is highly advantageous over other established methods of small nerve and immune cell imaging, including visualization of intraepidermal nerve fiber densities and Langerhans cells from invasive skin biopsies13. It is also less time consuming and has been increasingly used to observe neuroimmune features in the cornea including corneal dendritic cell density14 and behavior15. Dendritic cells are the most potent antigen-presenting cells in the body and are the primary responders responsible for initiating inflammatory and immune responses to damage or toxicity. They are the main resident immune cells in the cornea, and can be differentiated morphologically into immature and mature cell types16. Larger presence of immature dendritic cells is usually associated with an enhanced ability to mount an inflammatory response, whereas mature dendritic cells are derived from immature dendritic cells overexpressing costimulatory molecules such as CD80/CD86 and major histocompatibility complex (MHC) II to enhance their ability to active immunological processes17. Unlike immature dendritic cells, mature cells suggest the presence of active inflammation18.
Studies have shown an increase in the total number of corneal dendritic cells in other axonal degenerative conditions including diabetic peripheral neuropathy19,20, and mature corneal dendritic cells have also been shown to be associated with increased systemic inflammatory signaling involving receptors of tumor necrosis factors (TNF)19. Notably, ocular surface changes such as immune cell infiltration or tear film inflammatory mediators often reflect the status of systemic inflammation21. While evidence of corneal nerve fiber loss has been shown with neurotoxic chemotherapy in both human and animal models22,23, the changes in resident dendritic cells with chemotherapy have been limited to isolated case reports24 and the potential changes in treated patients across different major drug types remain unknown. The current study is novel in its investigation of in-vivo corneal dendritic cell densities and corneal nerve parameters in patients treated with oxaliplatin or paclitaxel. The second aim was to correlate these corneal neuroimmune features with the severity of peripheral neuropathy.
Methods
Study design and patient selection
This cross-sectional study was approved by the South Eastern Sydney Health Service Human Research Ethics Committee. Participants provided written informed consent after explanation of the nature and possible consequences of the study in accordance with the tenets of the Declaration of Helsinki. All methods were conducted in accordance with relevant guidelines and regulations.
Eighty-seven patients who had completed neurotoxic chemotherapy 3 to 24 months prior to assessment (oxaliplatin, n = 39; paclitaxel, n = 48) were consecutively recruited by convenience sampling from the Department of Medical Oncology, Prince of Wales Hospital (Sydney, Australia). A group of age-matched healthy controls (n = 40) were recruited for comparison. Sample size was assessed based on power calculations undertaken using G*Power 3.1.9.4 (Heinrich Heine University, Dusseldorf, Germany). As there is currently no quantitative data in neurotoxic chemotherapy, this was based on the corneal dendritic cell density in diabetic participants (17.73 ± 1.45 cells/mm2) compared to controls (6.94 ± 1.58 cells/mm2)20. A minimum sample of 20 participants in each group was estimated to have 80% power to detect a minimum mean difference of 1.7 ± 1.6 cells/mm2 at the 5% level of significance after accounting for Bonferroni corrected multiple comparisons.
Patients were excluded if they had a history of other medical conditions known to cause peripheral neuropathy including diabetes and chronic kidney disease, chronic demyelinating polyneuropathy, Sjogren’s syndrome and Charcot-Marie-Tooth disease. Medical records were also checked and the patients questioned during assessment for any such conditions including excessive alcohol consumption25. Pregnant and lactating women, patients with a history of ocular trauma, ocular surgery or refractive surgery, active ocular conditions including iritis, corneal edema, herpetic ulcers, corneal dystrophies or glaucoma requiring treatment with intraocular pressure lowering eye drop medication were excluded. Those with significant corneal epitheliopathy indicated by grade > 2 fluorescein staining on the Efron scale26, habitual soft and rigid contact lens wear, receiving corticosteroid eyedrops or systemic corticosteroid treatment, hormonal agents or oral retinoids at the time of assessment or those with known allergies to anesthetic eyedrops were also excluded.
Clinical ocular surface assessments
Visual acuity assessment and slit lamp biomicroscopy were conducted on all participants. Symptomatology of ocular surface dysfunction was assessed with the Ocular Surface Disease Index (OSDI), a validated 12-item questionnaire developed to assess the severity of dry eye disease in relation to three subcategories: severity of ocular symptoms, visual function and environmental triggers27. The total score ranges from 0 to 100, with a total score > 12 indicating potential presence of dry eye disease28. Corneal integrity and staining according to the Efron scale26 was assessed by instilling a fluorescein strip moistened with saline solution (sodium chloride 0.9%). Tear film break up time (TBUT) was also determined by assessing the time between a blink and first signs of break in the fluorescein pattern. Corneal staining and TBUT were part of the dry eye assessment as markers of tear film homeostasis29.
In-vivo corneal confocal microscopy
In-vivo corneal confocal microscopy was conducted according to previously published methods22. Briefly, a laser scanning confocal microscope (Heidelberg Retinal Tomograph III with Rostock Corneal module; Heidelberg Engineering GmbH, Heidelberg, Germany) was performed on participants after the cornea was anaesthetized with sterile 0.4% benoxinate hydrochloride (oxybuprocaine hydrochloride). Five to eight images best representing the central cornea with less than 20% overlap between images30, and three to five images of the inferior whorl region were identified. A validated automated image analysis software (ACCMetrics, The University of Manchester Intellectual Property UMIP, Manchester, United Kingdom)31,32 was used to analyze corneal nerve fiber length (CNFL, mm/mm2), corneal nerve fiber density (CNFD, no/mm2) and inferior whorl length (IWL, mm/mm2). The average nerve fiber length (ANFL = \(\frac{CNFL+IWL}{2}\)) was also calculated.
Corneal dendritic cells identified in the corneal epithelium subbasal layer were defined as reflective bodies with dendritiform processes16 and were manually quantified by a masked, independent observer from the in-vivo corneal confocal microscopy images of the central cornea (Fig. 1). These were further classified into immature and mature dendritic cells. Immature dendritic cells (ImDC) were defined as small, reflective cell bodies with short discernible dendrites, tapered ends or processes (< 25 µm)16,19. These cells are able to undergo maturation to increase their potency in antigen processing and presentation leading to an inflammatory or immune response33. Mature dendritic cells (MDC) were defined as reflective, slender cell bodies often with multiple long dendritiform processes extending out from the main cell body (> 25 µm)16,19. These are usually regarded as markers of overt and active inflammation34. The total dendritic cell densities including ImDC and MDC (TotalDC) were also noted.
Peripheral neurotoxicity assessments
Assessment of peripheral nerve health have been described previously22. Neuropathy status in all participants was graded using the reduced version of the Total Neuropathy Scale (TNSr©Johns Hopkins University) which assesses clinical parameters across 8 domains (sensory symptoms, weakness symptoms, pin prick sensibility, vibration threshold, strength, deep tendon reflexes, sensory nerve, and motor nerve conduction studies) with grades ranging from 0 to 4 where 0 signifies no deficit and 4 represents severe changes35,36. The total score ranges from 0 to 32. Nerve conduction studies were undertaken in the sural sensory and tibial motor nerves as per standard protocols37. Clinical assessment was also conducted using the National Cancer Institute Common Terminology Criteria for Adverse Events (NCI-CTCAE) version 3 sensory subscale for sensory peripheral neuropathy38. The European Organization for Research and Treatment of Cancer Quality of Life—Chemotherapy induced Peripheral Neuropathy questionnaire (EORTC QLQ-CIPN20) is a 20-item validated questionnaire and was used as a patient reported outcome assessing peripheral neuropathy symptomatology and potential impact on functional activities of daily living39. Each participant indicated the degree to which they have experienced each item by rating it from 1 to 4, where 1 signifies ‘not at all’ and 4 represents ‘very much’. The total scores were then linearly converted to a 0–100 scale, with higher scores indicating higher symptom burden39.
Statistical analysis
Statistical analysis was conducted using SPSS (version 25.0, IBM Corp., Armonk; NY, USA). As a preliminary assessment of the reproducibility of dendritic cell density measures, the intraclass correlation coefficient (ICC) based on absolute agreement (two-way random effects, average measures) was 0.994 (95% confidence interval (CI) 0.988–0.996) for immature dendritic cells, and 0.988 (95% CI 0.980–0.993) for mature dendritic cells between two masked observers (JK, AT). ICC based on absolute agreement for intra-reliability (two-way mixed effects, single measures) was 0.984 (95% CI 0.947–0.994) for ImDC, and 0.966 (95% CI 0.917–0.987) for MDC.
Normality was assessed with Shapiro–Wilk test and Q-Q plots. Preliminary data checks of dendritic cell densities indicated that there was large variability relative to the mean, with the distribution being skewed to the right. Hence a logarithmic transformation was applied to the raw dendritic cell density data. Univariate analysis using one-way ANOVA for parametric data (age and body mass index, BMI) and Kruskal Wallis test for non-parametric data (clinical ocular and peripheral neuropathy measures) with post-hoc Bonferroni adjustment of p-values was used to compare measures between the three groups. The proportion of participants in each group with dry eye disease (OSDI > 12 with presence of corneal staining, with grade ≥ 1 on the Efron scale or TBUT < 10 s) was also determined29. Chi squared test of independence was used for comparing gender proportions and the prevalence rates of dry eye disease between participants.
A general linear model was conducted to assess if dendritic cell densities (ImDC, MDC, TotalDC) and corneal nerve parameters (CNFD, CNFL, IWL, ANFL) were significantly different between the three groups of participants. Each of the 7 outcome variables were analyzed as a separate model with the ability to detect group differences after accounting for possible confounding factors. A confounder was a patient characteristic such as age, gender, BMI and dry eye diagnosis that were significantly different between study groups. Partial correlation analysis was conducted to assess the correlation of dendritic cell densities with corneal nerve parameters after adjusting for age. The correlation between dendritic cell densities with neurotoxic drug parameters including cumulative dose and number of treatment cycles, as well as neuropathy severity, clinician- and patient-reported outcomes were also assessed for each treatment group.
For the drug group showing significant differences in dendritic cell densities, differences between patients were further stratified according to higher and lower neuropathy severity groups based on the median of the TNSr scores (≤ Median TNSr: lower neuropathy severity; > Median TNSr: higher neuropathy severity) were investigated with independent t-test (age and BMI), Chi-squared test of independence (gender and dry eye proportions) or Mann–Whitney U test (clinical ocular and peripheral neuropathy measures). A general linear model was also used to assess the differences in dendritic cell densities and corneal nerve parameters in patients according to higher and lower neuropathy severity while accounting for confounding factors as described before. Post hoc pairwise comparisons between groups were adjusted using Bonferroni correction. Two-tailed level of significance was set at p < 0.05.
Results
Clinical and demographic data
The clinical and demographic data for patients treated with oxaliplatin and paclitaxel are presented in Table 1. Peripheral neuropathy measures including TNSr scores, sural and tibial nerve amplitudes, NCI-CTCAE and EORTC QLQ-CIPN20 scores are also presented in Table 1. There were no significant differences in age between the three groups (p = 0.50). The paclitaxel group had higher BMI than healthy controls (p = 0.02). There were more females in the paclitaxel group compared to the oxaliplatin group (χ = 27.31, df = 1, p < 0.001) and healthy controls (χ = 18.94, df = 1, p < 0.001) as paclitaxel is primarily used for treating breast and gynecological cancers. Sural nerve amplitudes were significantly reduced in the oxaliplatin and paclitaxel groups (p < 0.001) compared to healthy controls, while tibial nerve amplitudes were not significantly different between groups. Treatment regimens and systemic comorbidities are noted in Supplementary Table S1.
Visual acuity was similar across the oxaliplatin, paclitaxel and healthy control groups (p = 0.10, Table 1). The paclitaxel group had worse OSDI scores compared with the oxaliplatin group (p = 0.008) and healthy controls (p = 0.001). The prevalence of dry eye disease in the paclitaxel was 13/48 (27%) compared to 2/39 (5%) in the oxaliplatin group (χ = 7.27, df = 1, p = 0.007), and 1/40 (3%) in the healthy controls (χ = 9.86, df = 1, p < 0.001).
Dendritic cell densities and corneal nerves with oxaliplatin and paclitaxel treatment
Representative images of the corneal nerves and dendritic cells for the oxaliplatin, paclitaxel and healthy control groups are shown in Fig. 1. Table 2 shows the model based estimates for dendritic cell densities and corneal nerve parameters for the three groups following adjustment for age, gender, BMI and dry eye diagnosis. Figure 2 shows the distribution of dendritic cell densities for each group.
Dendritic cell density comparisons. Boxplots and whiskers representing the 10th to 90th percentile of (a) immature dendritic cell density (ImDC), (b) mature dendritic cell density (MDC), and (c) total dendritic cell density (TotalDC) in patients treated with paclitaxel or oxaliplatin and healthy controls.
Based on the general linear model, ImDC was significantly higher in the oxaliplatin group (Median [Interquartile range]: 22.7 cells/mm2 [11.7–40.6]) compared to healthy controls (10.1 cells/mm2 [3.5–17.6], p = 0.03). However, there was no significant difference in ImDC between healthy controls and the paclitaxel group (10.6 cells/mm2 [3.3–24.0], p = 0.99). A similar increase in TotalDC (28.1 cells/mm2 [17.2–46.9]) was observed in the oxaliplatin group compared to healthy controls (12.2 cells/mm2 [4.7–27.9], p = 0.02). There were no significant differences in ImDC and TotalDC between the oxaliplatin group and the paclitaxel group (ImDC: 10.6 cells/mm2 [3.3–24.0], p = 0.32; TotalDC: 14.8 cells/mm2 [5.7–28.1], p = 0.36). MDC was not significantly different between the three groups (p > 0.05; Table 2).
Both CNFD and CNFL were reduced in the oxaliplatin (CNFD: 23.2 ± 6.3 no/mm2, p = 0.01; CNFL: 13.7 ± 2.9 mm/mm2, p = 0.004) and paclitaxel groups (CNFD: 21.7 ± 7.6 mm/mm2, p = 0.005; CNFL: 13.1 ± 3.8 mm/mm2, p = 0.006) compared to healthy controls (CNFD: 28.0 ± 6.4 no/mm2; CNFL: 16.3 ± 3.2 mm/mm2). IWL and ANFL were similarly reduced in the oxaliplatin group (IWL: 12.5 ± 3.7 mm/mm2, p = 0.001; ANFL: 13.2 ± 2.8 mm/mm2, p = 0.001) compared to healthy controls (IWL: 16.3 ± 3.9 mm/mm2; ANFL: 16.3 ± 3.1 mm/mm2). ANFL was also reduced in the paclitaxel group (13.4 ± 3.8 mm/mm2, p = 0.008) compared to healthy controls. There were no significant differences in corneal nerve parameters between the oxaliplatin and paclitaxel groups (p > 0.05; Table 2).
Correlation analysis showed that higher MDC was associated with CNFD loss in the oxaliplatin group (r = 0.34, p = 0.038; Fig. 3a, Table 3). Higher MDC were also associated with loss of CNFD and IWL in paclitaxel (r = 0.35, p = 0.02 and r = 0.32, p = 0.03; Fig. 3b,c; Table 3). Conversely, there was an association between higher MDC with higher CNFD (r = 0.32, p = 0.048) and higher CNFL (r = 0.34, p = 0.04) in healthy controls. Higher number of treatment cycles in the oxaliplatin group was associated with the increase in ImDC (r = 0.33, p = 0.04; Fig. 3d) and TotalDC (r = 0.37, p = 0.02) observed in the oxaliplatin group (Supplementary Table S2). Similarly, higher cumulative dose of oxaliplatin was associated with elevated ImDC (r = 0.40, p = 0.01; Fig. 3e) and TotalDC (r = 0.42, p = 0.009). There were no associations between dendritic cell densities with treatment data or neuropathy severity in the paclitaxel group (Supplementary Table S3). Additionally, no associations were found between corneal nerve parameters with treatment data or neuropathy severity in the oxaliplatin or paclitaxel groups (Supplementary Table S2 and Supplementary Table S3).
Dendritic cell density correlations. Scatterplots with linear regression and 95% confidence interval bands showing association between log values of higher mature dendritic cell density (MDC) and loss of corneal nerve fiber density (CNFD) in (a) oxaliplatin-treated patients and (b) paclitaxel-treated patients. Correlation between MDC and loss of inferior whorl length (IWL) in paclitaxel-treated patients is shown in (c). Increased immature dendritic cell density (ImDC) in oxaliplatin-treated patients was associated with (d) higher numbers of treatment cycles associated and (e) higher cumulative dose of oxaliplatin.
Corneal neuroimmune features in peripheral neuropathy
The oxaliplatin group, which was the only treated group that showed a significant increase in ImDC and TotalDC compared to healthy controls, were stratified according to lower neuropathy severity group (TNSr ≤ 5), and higher neuropathy severity group (TNSr > 5; Table 4). Of the 39 oxaliplatin-treated participants, 20 had peripheral neuropathy in the higher severity (51%). Demographics, treatment data, clinical ocular and neuropathy measures are presented in Supplementary Table S4. The number of treatment cycles and mean cumulative oxaliplatin dose received was greater in the higher neuropathy severity group compared to the lower neuropathy severity group (p = 0.02 and p = 0.006). There were no patients with dry eye disease in the lower neuropathy severity group (0%), while the high neuropathy severity group had 2/19 patients with dry eye disease (11%), although the difference was not statistically significant (χ = 2.22, df = 1, p = 0.14).
There was no statistically significant difference in corneal nerve parameters between the higher neuropathy severity group (CNFD: 24.2 ± 6.8 no/mm2 ; CNFL: 14.5 ± 2.7 mm/mm2; IWL: 12.1 ± 3.1 mm/mm2; ANFL: 13.3 ± 2.3 mm/mm2) compared to the lower neuropathy severity group (CNFD: 22.3 ± 5.9 no/mm2, p = 0.18; CNFL: 13.0 ± 3.1 mm/mm2, p = 0.10; IWL: 13.0 ± 4.3 mm/mm2, p = 0.69; ANFL: 13.1 ± 3.3 mm/mm2, p = 0.35). Dendritic cell densities were also similar between the higher neuropathy severity group (ImDC: 22.7 cells/mm2 [5.5–46.1]; MDC: 4.7 cells/mm2 [2.3–15.6]; TotalDC: 30.5 cells/mm2 [17.2–56.3]) compared to the lower neuropathy severity group (ImDC: 27.0 cells/mm2 [12.9–35.2], p = 0.96; MDC: 2.7 cells/mm2 [0.8–6.8], p = 0.11; TotalDC: 25.9 cells/mm2 [17.4–41.4], p = 0.58).
Discussion
Our study investigated corneal neuroimmune features observed with in-vivo corneal confocal microscopy in patients who have completed treatment with neurotoxic chemotherapy with either paclitaxel or oxaliplatin. A major focus was to assess the potential effect of neurotoxic chemotherapy on corneal dendritic cells which are pertinent resident immune cells. A significant increase in ImDC in the oxaliplatin group was observed well after treatment cessation, even after accounting for age, gender, BMI and presence of dry eye disease. However, this was not associated with neuropathy severity. Conversely, there was no elevation in density observed in paclitaxel-treated patients. Dry eye disease, which has been associated with inflammatory changes on the ocular surface causing symptoms of discomfort and surface damage40, is unlikely to contribute to the differences as there was no evidence of significant ocular surface dysfunction in the oxaliplatin group. This further suggests that the increase in ImDC in the oxaliplatin group is indicative of low-level inflammatory presence, rather than an active clinical or pathological manifestation such as that seen in severe keratitis or keratopathies, which would have been indicated by significant increases in MDC41,42. ImDC elevation is associated with an enhanced ability to phagocytose antigens and mount an inflammatory response and hence may indicate a sustained, chronic low-level inflammation in oxaliplatin-treated patients as opposed to an active overt inflammation43.
In the current study, the increase in ImDC in the oxaliplatin group was associated with prolonged prior exposure to oxaliplatin indicated by the number of treatment cycles and cumulative dose of oxaliplatin. Oxaliplatin has been shown to increase inflammatory mediators including tumor necrosis factor alpha (TNF-α) and interleukin 1 beta (IL-1β)44, and immune cells such as dendritic cells and enhanced cytotoxic T cells elsewhere in lung carcinoma tissues of murine models45. While systemic inflammatory mediators of treated patients were not investigated in the current study, a previous study of oxaliplatin-treated patients has shown an increase in pro-inflammatory mediators including the transcriptional factor nuclear factor-kappa light chain enhancer of B cells (NF-κB) measured immediately after treatment cessation46. These findings may be of clinical importance in developing more targeted anti-inflammatory or immunosuppressive approaches while minimizing adverse reactions associated with traditional steroidal agents47. Whether these elevated levels are sustained chronically post-treatment is yet to be investigated. However, platinum compounds including oxaliplatin and cisplatin can persist within the body including the skin and blood years after completion of treatment48,49, suggesting that the observed increase in ImDC may be indicative of the presence of low levels of residual platinum exerting a chronic but subclinical impact on potent antigen-presenting cells.
The current study also showed no significant changes in dendritic cells in paclitaxel-treated participants. Although paclitaxel also increases inflammatory cytokines including IL-1β and IL-6 in the dorsal root ganglia50, it has been shown to have little impact on antigen presentation capabilities of dendritic cells51, inducing a reduction in dendritic cell size and loss of dendritiform processes52. In contrast, oxaliplatin seems to have a more stimulatory impact on dendritic cells45,53, which may explain the increase in densities in oxaliplatin-treated patients but not in paclitaxel-treated patients. We also identified higher prevalence of dry eye disease in the paclitaxel group compared to the oxaliplatin group and healthy controls. This may be due to the greater proportion of females in the paclitaxel group as female gender has been associated with higher risk of dry eye disease54, although other unexplored factors may play a role. Dry eye disease is an ocular surface condition where cellular disruption occurs due to the loss of homeostasis regulating tear film quality and ocular surface health which leads to symptomatic burden40. Further research is required to investigate whether paclitaxel could additionally disrupt ocular surface homeostasis through corneal nerve dysfunction or neuropeptide dysregulation such as expression of substance P involved in inflammatory processes as has been shown previously55, thus contributing to dry eye disease.
The association between MDC and corneal nerve loss in the drug groups observed in the current study may reflect a neuroimmune interaction between these immune cells and corneal nerves as reflected by other studies in both human and animal models56,57,58. Conversely, in healthy individuals, higher MDC seems to be associated with larger corneal nerve parameters particularly higher CNFD and CNFL in our study. This positive association between has been observed previously; whereby dendritic cells support corneal nerve growth and maintenance in healthy humans and animals14,59. This may occur through expression of neurotrophic factors such as ciliary neurotrophic factors (CNTF) in the healthy state60. However, higher MDC in pathological conditions such as diabetes or exposure to toxins may be linked with corneal nerve loss and dysfunction through prolonged adverse pro-inflammatory effects19. This supports a potential differential role of MDC in regulating corneal nerve morphology depending upon the degree of activation of the immune system and the state of disease or health.
Our study did not find an association between severity of the neuropathy in either drug group and dendritic cell densities, which may reflect the complex interplay of more pertinent factors which could potentially contribute to persistent chronic neuropathy including downstream inflammatory processes involving cytokine and chemokine action46 and genetic polymorphisms61,62. In addition, there remains a lack of research on systemic inflammation in cancer survivors and its effect on dendritic cell populations63,64,65,66. The current study is further limited by its cross-sectional nature, and longitudinal studies are required to measure corneal neuroimmune changes in patients during and after treatment. Any potential longstanding impact of the cancer itself on corneal nerves, dendritic cells and peripheral nerves which was not assessed in the current study should also be further investigated. However, paraneoplastic syndromes are usually subacute or fulminant and subside after anticancer treatment67. Ferdousi et al. showed a reduction in corneal nerves in patients with gastrointestinal cancer before treatment, and a subsequent increase with three cycles of platinum-compound treatment thought to be due to nerve regeneration68. Larger studies with longer follow up periods are required to confirm such observations including the relative impact of neurotoxic drugs on corneal nerves. Laboratory-based immunohistochemical studies would also be important to further understand corneal dendritic cell function and behavior in response to oxaliplatin and paclitaxel. Markers of systemic inflammation were not investigated in the current study which focused on the observation of potential corneal dendritic cell changes with in-vivo corneal confocal microscopy. Further studies to better understand the potential link between systemic and local ocular inflammatory markers in neurotoxicity are required.
The current study revealed an elevation of corneal ImDC in patients who have received oxaliplatin treatment, but not paclitaxel, although this was not associated with peripheral neuropathy severity. Further investigation is required to explore this potential link through longitudinal studies and animal or laboratory-based immunohistochemical research. Importantly, loss of corneal nerves was also prominent in treated patients. Future studies should explore these corneal neural and inflammatory changes detectable in an in-vivo, non-invasive manner during neurotoxic chemotherapy treatment from baseline.
Data availability
The datasets generated and analyzed during the study are available from the corresponding author on reasonable request.
References
Park, S. B. et al. Chemotherapy-induced peripheral neurotoxicity: A critical analysis. CA Cancer J. Clin. 63, 419–437. https://doi.org/10.3322/caac.21204 (2013).
Seretny, M. et al. Incidence, prevalence, and predictors of chemotherapy-induced peripheral neuropathy: A systematic review and meta-analysis. Pain 155, 2461–2470. https://doi.org/10.1016/j.pain.2014.09.020 (2014).
Brady, B. L. et al. Chemotherapy-induced peripheral neuropathy in metastatic breast cancer patients initiating intravenous paclitaxel/nab-paclitaxel. Am. J. Manag. Care. https://doi.org/10.37765/ajmc.2021.88562 (2020).
Bonhof, C. S. et al. The course of peripheral neuropathy and its association with health-related quality of life among colorectal cancer patients. J. Cancer Surviv. 15, 190–200. https://doi.org/10.1007/s11764-020-00923-6 (2021).
Makker, P. G. S. et al. Characterisation of immune and neuroinflammatory changes associated with chemotherapy-induced peripheral neuropathy. PLoS ONE 12, e0170814–e0170814. https://doi.org/10.1371/journal.pone.0170814 (2017).
Luo, H. et al. Interleukin-17 regulates neuron-glial communications, synaptic transmission, and neuropathic pain after chemotherapy. Cell Rep. 29, 2384-2397.e2385. https://doi.org/10.1016/j.celrep.2019.10.085 (2019).
Zhang, H. et al. Dorsal root ganglion infiltration by macrophages contributes to paclitaxel chemotherapy-induced peripheral neuropathy. J. Pain 17, 775–786. https://doi.org/10.1016/j.jpain.2016.02.011 (2016).
Liu, X. J. et al. Nociceptive neurons regulate innate and adaptive immunity and neuropathic pain through MyD88 adapter. Cell Res. 24, 1374–1377. https://doi.org/10.1038/cr.2014.106 (2014).
Kim, D., You, B., Lim, H. & Lee, S. J. Toll-like receptor 2 contributes to chemokine gene expression and macrophage infiltration in the dorsal root ganglia after peripheral nerve injury. Mol. Pain 7, 74. https://doi.org/10.1186/1744-8069-7-74 (2011).
Lees, J. G. et al. Immune-mediated processes implicated in chemotherapy-induced peripheral neuropathy. Eur. J. Cancer 73, 22–29. https://doi.org/10.1016/j.ejca.2016.12.006 (2017).
Patel, S., Hwang, J., Mehra, D. & Galor, A. Corneal nerve abnormalities in ocular and systemic diseases. Exp. Eye Res. 202, 108284. https://doi.org/10.1016/j.exer.2020.108284 (2021).
Petropoulos, I. N. et al. Corneal confocal microscopy: Ready for prime time. Clin. Exp. Optom. 103, 265–277. https://doi.org/10.1111/cxo.12887 (2020).
Anand, P. et al. Rational treatment of chemotherapy-induced peripheral neuropathy with capsaicin 8% patch: From pain relief towards disease modification. J. Pain Res. 12, 2039–2052. https://doi.org/10.2147/jpr.S213912 (2019).
Colorado, L. H., Markoulli, M. & Edwards, K. The relationship between corneal dendritic cells, corneal nerve morphology and tear inflammatory mediators and neuropeptides in healthy individuals. Curr. Eye Res. 44, 840–848. https://doi.org/10.1080/02713683.2019.1600196 (2019).
Colorado, L. H., Edwards, K., Chinnery, H. R. & Bazan, H. E. In vivo immune cell dynamics in the human cornea. Exp. Eye Res. 199, 108168. https://doi.org/10.1016/j.exer.2020.108168 (2020).
Mastropasqua, L. et al. Epithelial dendritic cell distribution in normal and inflamed human cornea: In vivo confocal microscopy study. Am. J. Ophthalmol. 142, 736–744. https://doi.org/10.1016/j.ajo.2006.06.057 (2006).
Galletti, J. G. & de Paiva, C. S. The ocular surface immune system through the eyes of aging. Ocul. Surf. 20, 139–162. https://doi.org/10.1016/j.jtos.2021.02.007 (2021).
Hamrah, P., Huq, S. O., Liu, Y., Zhang, Q. & Dana, M. R. Corneal immunity is mediated by heterogeneous population of antigen-presenting cells. J. Leukoc. Biol. 74, 172–178. https://doi.org/10.1189/jlb.1102544 (2003).
Lagali, N. S. et al. Dendritic cell maturation in the corneal epithelium with onset of type 2 diabetes is associated with tumor necrosis factor receptor superfamily member 9. Sci. Rep. 8, 14248 (2018).
Tavakoli, M., Boulton, A. J. M., Efron, N. & Malik, R. A. Increased Langerhan cell density and corneal nerve damage in diabetic patients: Role of immune mechanisms in human diabetic neuropathy. Cont. Lens Anterior Eye 34, 7–11 (2011).
Shah, R. et al. Systemic diseases and the cornea. Exp. Eye Res. 204, 108455. https://doi.org/10.1016/j.exer.2021.108455 (2021).
Chiang, J. C. B. et al. A cross-sectional study of sub-basal corneal nerve reduction following neurotoxic chemotherapy. Transl. Vis. Sci. Technol. 10, 24–24. https://doi.org/10.1167/tvst.10.1.24 (2021).
Ferrari, G., Nalassamy, N., Downs, H., Dana, R. & Oaklander, A. L. Corneal innervation as a window to peripheral neuropathies. Exp. Eye Res. 113, 148–150 (2013).
Sterenczak, K. A. et al. Burst of corneal dendritic cells during trastuzumab and paclitaxel treatment. Diagnostics 11, 838. https://doi.org/10.3390/diagnostics11050838 (2021).
National Health and Medical Research Council, Australian Research Council & Universities Australia. Australian Guidelines to Reduce Health Risks from Drinking Alcohol. (Commonwealth of Australia, 2020).
Efron, N., Morgan, P. B. & Katsara, S. S. Validation of grading scales for contact lens complications. Ophthalmic Physiol. Opt. 21, 17–29 (2001).
Schiffman, R. M., Christianson, M. D., Jacobsen, G., Hirsch, J. D. & Reis, B. L. Reliability and validity of the ocular surface disease index. Arch. Ophthalmol. 118, 615–621. https://doi.org/10.1001/archopht.118.5.615 (2000).
Miller, K. L. et al. Minimal clinically important difference for the ocular surface disease index. Arch. Ophthalmol. 128, 94–101. https://doi.org/10.1001/archophthalmol.2009.356 (2010).
Wolffsohn, J. S. et al. TFOS DEWS II diagnostic methodology report. Ocul. Surf. 15, 539–574. https://doi.org/10.1016/j.jtos.2017.05.001 (2017).
Vagenas, D. et al. Optimal image sample size for corneal nerve morphometry. Optom. Vis. Sci. 89, 812–817. https://doi.org/10.1097/OPX.0b013e31824ee8c9 (2012).
Chen, X. et al. An automatic tool for quantification of nerve fibers in corneal confocal microscopy images. IEEE Trans. Biomed. Eng. 64, 786–794 (2017).
Dabbah, M. A., Graham, J., Petropoulos, I. N., Tavakoli, M. & Malik, R. A. Automatic analysis of diabetic peripheral neuropathy using multi-scale quantitative morphology of nerve fibres in corneal confocal microscopy imaging. Med. Image Anal. 15, 738–747. https://doi.org/10.1016/j.media.2011.05.016 (2011).
Jamali, A. et al. Intravital multiphoton microscopy of the ocular surface: Alterations in conventional dendritic cell morphology and kinetics in dry eye disease. Front. Immunol. 11, 742–742. https://doi.org/10.3389/fimmu.2020.00742 (2020).
Cavalcanti, B. M. et al. In vivo confocal microscopy detects bilateral changes of corneal immune cells and nerves in unilateral herpes zoster ophthalmicus. Ocul. Surf. 16, 101–111 (2018).
Cavaletti, G. et al. Grading of chemotherapy-induced peripheral neurotoxicity using the total neuropathy scale. Neurology 61, 1297–1300 (2003).
Cornblath, D. R. et al. Total neuropathy score: Validation and reliability study. Neurology 53, 1660–1664 (1999).
Cavaletti, G. et al. Multi-center assessment of the total neuropathy score for chemotherapy-induced peripheral neurotoxicity. J. Peripher. Nerv. Syst. 11, 135–141. https://doi.org/10.1111/j.1085-9489.2006.00078.x (2006).
Trotti, A. et al. CTCAE v3.0: Development of a comprehensive grading system for the adverse effects of cancer treatment. Semin. Radiat. Oncol. 13, 176–181. https://doi.org/10.1016/s1053-4296(03)00031-6 (2003).
Postma, T. J. et al. The development of an EORTC quality of life questionnaire to assess chemotherapy-induced peripheral neuropathy: The QLQ-CIPN20. Eur. J. Cancer 41, 1135–1139. https://doi.org/10.1016/j.ejca.2005.02.012 (2005).
Bron, A. J. et al. TFOS DEWS II pathophysiology report. Ocul. Surf. 15, 438–510. https://doi.org/10.1016/j.jtos.2017.05.011 (2017).
Cruzat, A. et al. Inflammation and the nervous system: The connection in the cornea in patients with infectious keratitis. Invest. Ophthalmol. Vis. Sci. 52, 5136–5143. https://doi.org/10.1167/iovs.10-7048 (2011).
Eden, U., Fagerholm, P., Danyali, R. & Lagali, N. Pathologic epithelial and anterior corneal nerve morphology in early-stage congenital aniridic keratopathy. Ophthalmology 119, 1803–1810 (2012).
Kim, M. & Kim, J. Properties of immature and mature dendritic cells: Phenotype, morphology, phagocytosis, and migration. RSC Adv. 9, 11230–11238. https://doi.org/10.1039/C9RA00818G (2019).
Fumagalli, G., Monza, L., Cavaletti, G., Rigolio, R. & Meregalli, C. Neuroinflammatory process involved in different preclinical models of chemotherapy-induced peripheral neuropathy. Front. Immunol. 11, 626687. https://doi.org/10.3389/fimmu.2020.626687 (2020).
Sun, F. et al. Oxaliplatin induces immunogenic cells death and enhances therapeutic efficacy of checkpoint inhibitor in a model of murine lung carcinoma. J. Recept. Signal Transduct. Res. 39, 208–214. https://doi.org/10.1080/10799893.2019.1655050 (2019).
Yehia, R., Saleh, S., El Abhar, H., Saad, A. S. & Schaalan, M. L-Carnosine protects against oxaliplatin-induced peripheral neuropathy in colorectal cancer patients: A perspective on targeting Nrf-2 and NF-κB pathways. Toxicol. Appl. Pharmacol. 365, 41–50. https://doi.org/10.1016/j.taap.2018.12.015 (2019).
Shafiee, A., Bucolo, C., Budzynski, E., Ward, K. W. & López, F. J. In vivo ocular efficacy profile of mapracorat, a novel selective glucocorticoid receptor agonist, in rabbit models of ocular disease. Invest. Ophthalmol. Vis. Sci. 52, 1422–1430. https://doi.org/10.1167/iovs.10-5598 (2011).
Cao, Y. et al. Skin platinum deposition in colorectal cancer patients following oxaliplatin-based therapy. Cancer Chemother. Pharmacol. 84, 1195–1200. https://doi.org/10.1007/s00280-019-03956-6 (2019).
Sprauten, M. et al. Impact of long-term serum platinum concentrations on neuro- and ototoxicity in Cisplatin-treated survivors of testicular cancer. J. Clin. Oncol. 30, 300–307. https://doi.org/10.1200/jco.2011.37.4025 (2012).
Wu, P. & Chen, Y. Evodiamine ameliorates paclitaxel-induced neuropathic pain by inhibiting inflammation and maintaining mitochondrial anti-oxidant functions. Hum. Cell 32, 251–259. https://doi.org/10.1007/s13577-019-00238-4 (2019).
Millrud, C. R., Mehmeti, M. & Leandersson, K. Docetaxel promotes the generation of anti-tumorigenic human macrophages. Exp. Cell Res. 362, 525–531. https://doi.org/10.1016/j.yexcr.2017.12.018 (2018).
John, J. et al. Differential effects of Paclitaxel on dendritic cell function. BMC Immunol. 11, 14. https://doi.org/10.1186/1471-2172-11-14 (2010).
Hong, X. et al. Impact of 5-Fu/oxaliplatin on mouse dendritic cells and synergetic effect with a colon cancer vaccine. Chinese J. Cancer Res. 30, 197–208. https://doi.org/10.21147/j.issn.1000-9604.2018.02.03 (2018).
Sullivan, D. A. et al. TFOS DEWS II sex, gender, and hormones report. Ocul. Surf. 15, 284–333. https://doi.org/10.1016/j.jtos.2017.04.001 (2017).
Tatsushima, Y. et al. Involvement of substance P in peripheral neuropathy induced by paclitaxel but not oxaliplatin. J. Pharmacol. Exp. Ther. 337, 226–235 (2011).
Hamrah, P., Seyed-Razavi, Y. & Yamaguchi, T. Translational immunoimaging and neuroimaging demonstrate corneal neuroimmune crosstalk. Cornea 35, S20–S24. https://doi.org/10.1097/ICO.0000000000001014 (2016).
Guzmán, M. et al. Transient tear hyperosmolarity disrupts the neuroimmune homeostasis of the ocular surface and facilitates dry eye onset. Immunology https://doi.org/10.1111/imm.13243 (2020).
Rincon-Frutos, L. et al. Basal neuro-immune interactions between resident dentritic cells and corneal sensory nerves. Acta Ophthalmol. https://doi.org/10.1111/j.1755-3768.2019.5439 (2019).
Gao, N., Lee, P. & Yu, F. S. Intraepithelial dendritic cells and sensory nerves are structurally associated and functional interdependent in the cornea. Sci. Rep. 6, 36414 (2016).
Gao, N., Yan, C., Lee, P., Sun, H. & Yu, F. S. Dendritic cell dysfunction and diabetic sensory neuropathy in the cornea. J. Clin. Invest. 126, 1998–2011 (2016).
Park, S. B. et al. Clinical and genetic predictors of paclitaxel neurotoxicity based on patient- versus clinician-reported incidence and severity of neurotoxicity in the ICON7 trial. Ann. Oncol. 28, 2733–2740. https://doi.org/10.1093/annonc/mdx491 (2017).
Adjei, A. A. et al. Genetic predictors of chemotherapy-induced peripheral neuropathy from paclitaxel, carboplatin and oxaliplatin: NCCTG/Alliance N08C1, N08CA and N08CB Study. Cancers (Basel) 13, 1084. https://doi.org/10.3390/cancers13051084 (2021).
Hiam-Galvez, K. J., Allen, B. M. & Spitzer, M. H. Systemic immunity in cancer. Nat. Rev. Cancer 21, 345–359. https://doi.org/10.1038/s41568-021-00347-z (2021).
Wculek, S. K. et al. Dendritic cells in cancer immunology and immunotherapy. Nat. Rev. Immunol. 20, 7–24. https://doi.org/10.1038/s41577-019-0210-z (2020).
Orsini, G. et al. Quantification of blood dendritic cells in colorectal cancer patients during the course of disease. Pathol. Oncol. Res. 20, 267–276. https://doi.org/10.1007/s12253-013-9691-4 (2014).
Paek, S. H. et al. Circulating plasmacytoid and myeloid dendritic cells in breast cancer patients: A pilot study. J. Breast Cancer 22, 29–37. https://doi.org/10.4048/jbc.2019.22.e15 (2019).
Lehmann, H. C., Wunderlich, G., Fink, G. R. & Sommer, C. Diagnosis of peripheral neuropathy. Neurol. Res. Pract. 2, 20. https://doi.org/10.1186/s42466-020-00064-2 (2020).
Ferdousi, M. et al. Corneal confocal microscopy detects small fibre neuropathy in patients with upper gastrointestinal cancer and nerve regeneration in chemotherapy induced peripheral neuropathy. PLoS ONE 10, e0139394–e0139394. https://doi.org/10.1371/journal.pone.0139394 (2015).
Acknowledgements
The authors would like to thank Prince of Wales Hospital staff and medical oncologists for their assistance in patient recruitment.
Funding
This work was supported by an Australian Government Research Training Program (RTP) Scholarship awarded by UNSW Sydney to JCB.C. This study was supported by a Cancer Institute NSW Program Grant (14/TPG/1-05) and a National Health and Medical Research Council of Australia (NHMRC) Project Grant (1080521). S.B.P. is supported by an NHMRC Career Development Fellowship (1148595).
Author information
Authors and Affiliations
Contributions
J.C.B.C., D.G., A.V.K. and M.M. designed the study. J.C.B.C., T.T. and K.A. recruited patients aided by D.G., M.F. and C.R.L. J.C.B.C, T.T., and K.A. conducted data acquisition. J.C.B.C., T.J.N., A.T. and J.K. conducted the data and statistical analysis. D.G., S.B.P., A.V.K. and M.M. supervised the study. J.C.B.C. conducted the draft preparation. All authors reviewed the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Chiang, J.C.B., Goldstein, D., Tavakoli, A. et al. Corneal dendritic cells and the subbasal nerve plexus following neurotoxic treatment with oxaliplatin or paclitaxel. Sci Rep 11, 22884 (2021). https://doi.org/10.1038/s41598-021-02439-0
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-021-02439-0
This article is cited by
-
In-vivo corneal confocal microscopy: Imaging analysis, biological insights and future directions
Communications Biology (2023)
-
Corneal confocal microscopy identifies corneal nerve loss and increased Langerhans cells in presymptomatic carriers and patients with hereditary transthyretin amyloidosis
Journal of Neurology (2023)
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.