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Prognostic and Predictive Significance of Claudin-6 Expression in Advanced-Stage High-Grade Serous Ovarian Carcinoma

A peer-reviewed version of this preprint was published in:
Diagnostics 2026, 16(8), 1175. https://doi.org/10.3390/diagnostics16081175

Submitted:

20 March 2026

Posted:

23 March 2026

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Abstract
Background: Claudin-6 (CLDN6) is an oncofetal tight junction protein that has recently emerged as a promising therapeutic target in various solid tumors. Despite this potential, the clinical significance of CLDN6 expression in advanced-stage high-grade serous ovarian carcinoma (HGSC)—specifically its role in platinum resistance—remains poorly understood. Methods: This retrospective study analyzed 119 patients with newly diagnosed FIGO stage III–IV HGSC who received platinum-based chemotherapy at a single tertiary center between 2015 and 2025. CLDN6 expression was evaluated via immunohistochemistry (IHC) on formalin-fixed paraffin-embedded (FFPE) tumor samples. High CLDN6 expression was defined as moderate-to-strong membranous staining in ≥50% of tumor cells. Clinicopathologic associations were assessed using chi-square tests, while logistic regression analysis identified predictors of platinum resistance. Finally, overall survival (OS) and progression-free survival (PFS) were evaluated using Kaplan–Meier methods and Cox proportional hazards models. Results: High CLDN6 expression was observed in 31 patients (26%). CLDN6 expression was not significantly associated with age, CA-125 level, lymph node metastasis, distant metastasis, surgical approach, or residual disease status. However, high CLDN6 expression was significantly associated with platinum resistance (61.3% vs 28.4%, p = 0.001). In multivariable logistic regression analysis, residual disease (OR = 10.12, p> 0.001), high CLDN6 expression (OR = 4.52, p = 0.008), and elevated CA-125 levels (OR = 0.64, p = 0.041) were independently associated with platinum resistance. Median OS for the entire cohort was 43.8 months. High CLDN6 expression was associated with shorter OS (38.0 vs 45.7 months, p = 0.042) and remained an independent predictor of mortality in multivariable Cox analysis (HR = 1.90, p = 0.026). CLDN6 expression showed a trend toward shorter PFS but did not reach statistical significance (p = 0.096). Conclusions: High CLDN6 expression is associated with platinum resistance and inferior overall survival in patients with advanced-stage HGSC. These findings suggest that CLDN6 may serve as a clinically relevant biomarker for chemoresistance and tumor aggressiveness. In the context of emerging CLDN6-targeted therapies, routine assessment of CLDN6 expression may facilitate the development of biomarker-driven therapeutic strategies for advanced ovarian cancer.
Keywords: 
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1. Introduction

Ovarian cancer remains one of the most lethal gynecologic malignancies worldwide and is a major cause of cancer-related mortality among women [1,2]. Despite advances in surgical management and systemic therapies, survival outcomes remain poor, particularly in advanced-stage disease. High-grade serous ovarian carcinoma (HGSC) represents the most common histologic subtype of epithelial ovarian cancer and accounts for the majority of ovarian cancer–related deaths [3,4]. Although screening strategies have been extensively evaluated, no effective population-based screening method has demonstrated a clear survival benefit [5].
The standard treatment for advanced ovarian cancer consists of cytoreductive surgery followed by platinum-based chemotherapy [6,7]. While most patients initially respond to treatment, recurrence occurs in the majority of cases, and many patients eventually develop platinum resistance. Once platinum resistance develops, therapeutic options are limited and prognosis deteriorates significantly [8,9]. The integration of immune checkpoint inhibitors and other novel systemic therapies has shown only modest clinical benefit, underscoring the need for reliable predictive and prognostic biomarkers to guide treatment strategies [10,11].
Tight junctions are essential components of epithelial cell polarity and barrier integrity. They are composed of transmembrane proteins, including claudins, occludins, and junctional adhesion molecules [12,13,14]. The claudin family consists of at least 27 members, several of which have been implicated in tumor progression, invasion, and metastasis. Claudin-6 (CLDN6), an oncofetal tight junction protein, has recently emerged as a molecule of considerable interest in oncology [15,16]. CLDN6 is physiologically expressed during embryonic development but is largely absent in normal adult tissues. However, aberrant re-expression has been identified in various solid tumors, including ovarian cancer [17,18]
Beyond its structural role in tight junctions, CLDN6 has been shown to participate in tumor-related signaling pathways regulating proliferation, apoptosis, migration, and cellular plasticity [19,20]. Antibodies targeting CLDN6 have already been engineered as bispecific single-chain antibodies, as well as anti-CLDN6 antibody–drug conjugates, for use in targeted immunotherapy [21,22]. The antibody–drug conjugate CLDN6-23-ADC (anti-CLDN6) has demonstrated a significant reduction in tumor volume in an ovarian cancer PDX model and represents a promising targeted therapeutic strategy. It is currently being evaluated in a phase I clinical trial for the treatment of CLDN6-overexpressing cancers [23].
As therapeutic strategies targeting CLDN6 continue to evolve, understanding its clinical relevance in specific ovarian cancer subtypes becomes increasingly important. However, the clinical significance of CLDN6 expression in advanced-stage HGSC, particularly in relation to platinum resistance, remains uclear.Therefore, we investigated CLDN6 expression in a relatively homogeneous and uniformly treated cohort of advanced-stage HGSC patients receiving platinum-based chemotherapy, aiming to clarify its association with platinum resistance and its prognostic implications. Such insights may help refine biological stratification within HGSC and inform future biomarker-oriented therapeutic approaches.

2. Materials and Methods

2.1. Study Population

Patients with newly diagnosed advanced-stage (FIGO stage III–IV) high-grade serous carcinoma of the ovarian, fallopian tube, or primary peritoneal origin who were followed at the Department of Medical Oncology, Ondokuz Mayıs University Faculty of Medicine, between January 2015 and December 2025 were retrospectively evaluated for inclusion in this study.
Histological classification was established according to the World Health Organization Classification of Female Genital Tumours [24]. Disease stage was assigned according to the International Federation of Gynecology and Obstetrics (FIGO) staging system [25]. In patients who underwent primary cytoreductive surgery, staging was based on surgical and pathological findings. For patients who did not undergo upfront surgery, advanced-stage disease was defined based on radiological findings consistent with advanced-stage disease (FIGO stage III–IV) in combination with histopathological confirmation obtained from biopsy specimens.
All patients received standard platinum-based chemotherapy following primary or interval debulking surgery, or as systemic treatment in patients deemed unsuitable for surgery.
The study was approved by the Institutional Ethics Committee of Ondokuz Mayıs University Faculty of Medicine (Approval No: 2025/33, Date: 12 february 2025) and was conducted in accordance with the ethical principles of the Declaration of Helsinki. The requirement for written informed consent was waived because of the retrospective design of the study.
A total of 149 consecutive patients were initially identified. Sixteen patients were excluded due to insufficient tissue or absence of tissue for immunohistochemical analysis. Eight patients were excluded because of incomplete follow-up data, and six patients were excluded due to the presence of a concurrent second primary malignancy. After these exclusions, 119 patients constituted the final study cohort. The patient selection and study flow are illustrated in Figure 1.

2.2. Data Collection and Clinical Variables

Demographic and clinicopathological data were retrieved from electronic medical records. The following variables were recorded: age at diagnosis, serum CA-125 level at diagnosis (IU/mL), lymph node metastasis status, presence of distant metastasis, platinum-free interval (PFI), receipt of neoadjuvant chemotherapy, and surgical approach (primary debulking surgery, interval debulking surgery, or no surgery).
Key clinical dates were collected, including the date of diagnosis, date of documented disease progression, date of death, and date of last follow-up. These data were used to calculate progression-free survival (PFS) and overall survival (OS). Tumor response and disease progression were assessed radiologically according to the Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 [26]. Patients were followed at approximately 3-month intervals with clinical evaluation, serum CA-125 measurement, and radiological imaging when clinically indicated.
OS was defined as the time from the date of diagnosis to death from any cause. Patients who were alive at the time of analysis were censored at the last follow-up date. PFS was defined as the time from the date of diagnosis to radiologic or clinical disease progression or death from any cause, whichever occurred first. Patients without documented progression or death were censored at the last follow-up date.
Platinum resistance was defined as disease recurrence within 6 months after completion of platinum-based chemotherapy cycle, whereas recurrence occurring ≥6 months after completion of platinum therapy was classified as platinum-sensitive disease. PFI was defined as the time from the last platinum-based chemotherapy cycle to the date of documented disease recurrence. Platinum resistance analysis was restricted to patients who experienced disease recurrence following completion of first-line platinum-based chemotherapy.

2.3. Treatment Strategy

All patients with newly diagnosed advanced-stage HGSC were initially evaluated by a gynecologic oncologist within a multidisciplinary tumor board to determine surgical operability. Patients considered suitable for primary cytoreductive surgery underwent primary debulking surgery followed by standard platinum-based chemotherapy.
Patients deemed unlikely to achieve optimal cytoreduction due to extensive disease distribution on imaging or poor performance status received neoadjuvant platinum-based chemotherapy. After completion of neoadjuvant therapy, patients were re-evaluated for interval debulking surgery. Those demonstrating adequate clinical and radiologic response underwent interval cytoreduction, whereas patients who remained inoperable continued systemic therapy.
Residual disease status was determined based on operative and postoperative surgical reports. Complete cytoreduction (R0) was defined as the absence of any macroscopic residual tumor at the end of surgery. Incomplete cytoreduction (R+) was defined as the presence of any visible residual disease. Residual disease assessment was performed at the completion of either primary or interval debulking surgery.

2.4. Immunohistochemistry and Evaluation of Claudin-6 Expression

Immunohistochemical analysis was performed on formalin-fixed paraffin-embedded tumor tissues obtained from either surgical specimens or diagnostic biopsy samples of the primary tumor. Archived tumor specimens from patients diagnosed with HGSC were re-evaluated using hematoxylin and eosin (H&E) staining to confirm the diagnosis and select representative tumor areas. Formalin-fixed, paraffin-embedded (FFPE) tissue blocks were retrieved, and 4-μm thick sections were cut and mounted on adhesive-coated slides.
Immunohistochemical staining was performed using a fully automated immunostaining platform (Ventana Benchmark Ultra; Roche Diagnostics, Basel, Switzerland). Sections were incubated with a mouse monoclonal anti–Claudin-6 antibody (Clone E7U2O, 1:150 dilution; Cell Signaling Technology, Danvers, MA, USA) according to the manufacturer’s protocol. Appropriate positive and negative controls were included in each staining run.
Only membranous staining was considered indicative of CLDN6 expression. Immunostained slides were independently evaluated by one experienced gynecologic pathologist who was blinded to clinical data and survival outcomes
Staining intensity was graded as 0 (absent), 1+ (weak), 2+ (moderate), or 3+ (strong), and the percentage of positive tumor cells was recorded.
Claudin-6 expression was dichotomized using a predefined combined intensity–percentage scoring approach. Tumors demonstrating moderate-to-strong membranous staining (2+ or 3+) in ≥50% of tumor cells were classified as high expression. All other cases (0–1+ intensity and/or <50% positive tumor cells) were categorized as low expression [27]. Representative images of Claudin-6 immunohistochemical staining are shown in Figure 2.

2.5. Statistical Analysis

The optimal cut-off value for baseline CA-125 in predicting mortality was determined using receiver operating characteristic (ROC) curve analysis. The cut-off value was selected based on the Youden index. Baseline CA-125 levels were dichotomized according to the ROC-derived cut-off value (714.5 IU/mL). Age was dichotomized using the cohort median value (62 years) and categorized as ≤62 and >62 years for subsequent analyses.
The primary endpoint of the study was to evaluate the association between CLDN6 expression and platinum resistance. Secondary endpoints included PFS and OS according to CLDN6 expression status.
All statistical analyses were performed using IBM SPSS Statistics software (version 25.0; IBM Corp., Armonk, NY, USA). All tests were two-sided, and a p <0.05 was considered statistically significant.
Continuous variables were assessed for normality using the Kolmogorov–Smirnov test and were expressed as mean ± standard deviation (SD) or median (interquartile range [IQR]), as appropriate. Categorical variables were summarized as frequencies and percentages.
Associations between CLDN6 expression and clinicopathological characteristics were evaluated using the Pearson chi-square test or Fisher’s exact test, as appropriate.
Survival analyses were performed for OS and PFS, as defined above. Survival curves were estimated using the Kaplan–Meier method and compared using the log-rank test. Median survival times with 95% confidence intervals (CIs) were reported. The median follow-up duration was calculated using the reverse Kaplan–Meier method.
The prognostic significance of CLDN6 expression and other clinicopathological variables was evaluated using Cox proportional hazards regression models. Multivariate Cox regression models were constructed by including variables considered clinically relevant together with those showing p <0.10 in univariate analysis. Hazard ratios (HRs) and 95% CIs were calculated. The proportional hazards assumption was assessed by inspection of log-minus-log survival plots. PFI was not included in the OS analysis due to its inherent correlation with disease progression and its potential to introduce collinearity.
To further examine the association between CLDN6 expression and platinum resistance, binary logistic regression analysis was performed, and odds ratios (ORs) with 95% CIs were reported.No missing data were identified for the variables included in the analyses.

3. Results

A total of 119 patients with newly diagnosed advanced-stage high-grade serous ovarian carcinoma were included in the analysis. The median follow-up duration was 63 months (95% CI: 57.9–68.1), calculated using the reverse Kaplan–Meier method. Based on immunohistochemical evaluation, high CLDN6 expression was observed in 31 patients (26%), while the majority of tumors (74%) showed low CLDN6 expression. The clinicopathological characteristics of the study cohort according to CLDN6 expression are summarized in Table 1. CLDN6 expression was not significantly associated with age group (p = 0.643), CA-125 level (p = 0.159), lymph node metastasis (p = 0.991), distant metastasis (p = 0.492), receipt of neoadjuvant chemotherapy (p=0.763), surgical approach (p=0.311), or residual disease after surgery (p = 0.856). However, high CLDN6 expression was significantly associated with platinum resistance (61.3% vs 28.4%, p = 0.001).
As shown in Table 2, residual disease after surgery and high CLDN6 expression were independently associated with platinum resistance. Patients with high CLDN6 expression had a significantly increased risk of platinum resistance (OR = 4.52, 95% CI: 1.49–13.68, p = 0.008). Similarly, the presence of residual disease was strongly associated with platinum resistance (OR = 10.12, 95% CI: 2.87–35.74, p<0.001). CA-125 levels were also significantly associated with platinum resistance (OR = 0.64, 95% CI: 0.42–0.98, p = 0.041). In contrast, lymph node metastasis, distant metastasis, and age were not independently associated with platinum resistance.
Overall survival analysis according to clinicopathologic variables is summarized in Table 3. The median overall survival for the entire cohort was 43.8 months (95% CI: 38.05–49.54). High CLDN6 expression was significantly associated with poorer overall survival; patients with high CLDN6 expression had shorter survival compared with those with low expression (median OS = 38.0 vs 45.7 months, p = 0.042) (Figure 3). Elevated CA-125 levels were also associated with poorer survival (p = 0.028). The presence of distant metastasis significantly affected survival (p = 0.016). Surgical approach was strongly associated with prognosis, with patients who did not undergo surgery demonstrating markedly worse survival (median OS: 20.4 months, p <0.001). Residual disease after surgery was also significantly associated with poorer survival (p = 0.004). Age, lymph node metastasis, and receipt of neoadjuvant chemotherapy were not significantly associated with overall survival.
Multivariable Cox proportional hazards regression analysis was performed to identify independent prognostic factors for overall survival (Table 4). High CLDN6 expression was significantly associated with increased mortality risk. Patients with high CLDN6 expression had a 1.9-fold increased risk of death compared with those with low CLDN6 expression (HR = 1.90, 95% CI: 1.08–3.36, p = 0.026). Similarly, elevated CA-125 levels (≥714.50) were independently associated with worse overall survival (HR = 1.87, 95% CI: 1.07–3.25, p = 0.027). Although distant metastasis showed a trend toward increased mortality risk (HR = 1.82), this association did not reach statistical significance (p = 0.144). Surgical approach was not significantly associated with overall survival in the multivariable model (p = 0.377). In contrast, the presence of residual disease after surgery was identified as an independent adverse prognostic factor. Patients with residual tumor had a 2.24-fold higher risk of death compared with those without residual disease (HR = 2.24, 95% CI: 1.26–3.96, p = 0.005). Taken together, these findings indicate that CLDN6 expression is associated with platinum resistance and poorer overall survival in patients with advanced-stage HGSC.
PFS was analyzed using the Kaplan–Meier method, and the results are summarized in Table 5. In the overall cohort, the 2-year and 5-year PFS rates were 28.3% and 12.6%, respectively, with a median PFS of 15.73 months. CLDN6 expression showed a trend toward shorter PFS in the high-expression group; however, the difference did not reach statistical significance (p = 0.096). Similarly, age, CA-125 level, lymph node metastasis, and receipt of neoadjuvant chemotherapy were not significantly associated with PFS. In contrast, the presence of distant metastasis was significantly associated with poorer PFS (p = 0.021). Surgical approach also had a significant impact on PFS (p = 0.009), with patients who did not undergo surgery demonstrating the shortest PFS. Furthermore, residual disease after surgery was strongly associated with worse PFS (p = 0.001). Taken together, these findings indicate that CLDN6 expression is associated with platinum resistance and poorer overall survival in patients with advanced-stage HGSC

4. Discussion

In this study, we sought to clarify the clinical relevance of CLDN6 expression in advanced-stage HGSC, a setting in which reliable biomarkers for platinum resistance remain limited. Our findings demonstrate that high CLDN6 expression is significantly associated with platinum resistance in logistic regression analysis and is independently associated with reduced OS in multivariable Cox models. Importantly, CLDN6 expression was not significantly correlated with parameters reflecting tumor burden or anatomical dissemination, suggesting that its clinical impact may reflect intrinsic tumor aggressiveness rather than disease extent. Collectively, these findings suggest that CLDN6 may represent a clinically relevant biomarker of treatment resistance and poor prognosis in advanced HGSC.
Previous studies have reported a correlation between CLDN6 overexpression and poor survival outcomes in ovarian and other gynecologic malignancies [28,29]. Yuceer et al. demonstrated that elevated CLDN6 expression was independently associated with reduced OS and PFS in serous ovarian cancer [30]. Similarly, Gao et al. reported that CLDN6 overexpression predicted unfavorable overall survival and was associated with alterations in the tumor immune microenvironment [31]. Our findings are consistent with these reports in terms of OS, further supporting the link between CLDN6 expression and aggressive tumor behavior. However, prior studies generally included relatively small sample sizes and heterogeneous patient populations encompassing multiple histological subtypes and disease stages. In contrast, the present study specifically focused on a homogeneous cohort of advanced-stage HGSC, thereby minimizing biological and clinical heterogeneity. Interestingly, unlike some previous reports, we did not observe a significant association between CLDN6 expression and progression-free survival. This discrepancy may be attributable to differences in cohort composition, scoring methodologies, stage distribution, and treatment strategies across studies.
Earlier investigations, including the study by Wang et al., suggested that CLDN6 expression may be associated with increased metastatic potential [28]. Similarly, studies in cervical adenocarcinoma have reported correlations between CLDN6 overexpression and adverse pathological features such as lymphovascular space invasion and nodal metastasis [32].In contrast, our study did not demonstrate a significant association between CLDN6 expression and lymph node involvement, distant metastasis, or residual disease status. These discrepancies may reflect differences in stage distribution, sample size, histological heterogeneity, or variability in immunohistochemical scoring and cut-off definitions across studies. Importantly, our cohort was restricted to advanced-stage HGSC, a setting in which metastatic dissemination is already prevalent, potentially attenuating detectable differences in anatomical spread according to CLDN6 expression status. This finding suggests that CLDN6 expression may reflect intrinsic tumor aggressiveness rather than the extent of anatomical dissemination.
A key finding of our study is the strong and independent association between high CLDN6 expression and platinum resistance, which remained independently associated with platinum resistance after multivariable adjustment. Given that platinum resistance is a major determinant of survival in advanced ovarian cancer, identifying biomarkers capable of stratifying chemoresistant disease is of substantial clinical importance. While previous studies have primarily emphasized the prognostic implications of CLDN6, limited data have explored its relationship with treatment response [33]. Mechanistic insights from other gynecologic malignancies provide a biologically plausible framework for this association. In cervical adenocarcinoma, CLDN6 overexpression has been shown to enhance tight junction barrier function by suppressing paracellular flux of small molecules, potentially limiting intratumoral drug penetration. Moreover, CLDN6 upregulation was associated with increased expression of aldo–keto reductase family proteins, which are known to metabolize chemotherapeutic agents and have been implicated in cisplatin resistance [32]. These findings suggest that CLDN6 may promote chemotherapy resistance through dual mechanisms, including restriction of drug penetration across tumor cell junctions and activation of drug-detoxifying pathways. Although these mechanisms were not directly investigated in our cohort of advanced-stage HGSC, they provide a plausible biological explanation for the observed association between CLDN6 overexpression and platinum resistance. Notably, despite its association with platinum resistance and overall survival, CLDN6 expression was not significantly correlated with lymph node involvement, distant metastasis, or residual disease status. This pattern suggests that CLDN6 may not primarily influence anatomical dissemination but rather contribute to tumor aggressiveness through molecular and functional pathways related to chemoresistance. Taken together, these observations support the concept that CLDN6 represents a marker of intrinsic biological aggressiveness rather than tumor burden in advanced-stage HGSC.
Given its restricted expression in normal adult tissues and preferential overexpression in malignant cells, CLDN6 has emerged as an attractive therapeutic target [34]. CLDN6-directed antibody–drug conjugates (ADCs), bispecific antibodies, and CAR-T cell therapies have demonstrated encouraging preclinical and early-phase clinical activity in solid tumors [35,36]. In this context, our observation linking CLDN6 overexpression to platinum resistance provides additional clinical relevance to ongoing efforts targeting this molecule. In advanced-stage HGSC, where therapeutic options for platinum-resistant disease remain limited, CLDN6-targeted strategies may represent a promising avenue for treatment development. Furthermore, CLDN6 expression may serve as a potential stratification biomarker to identify patients who are less likely to benefit from conventional platinum-based therapy and who may be candidates for novel targeted or immune-based therapeutic approaches. Prospective validation in biomarker-driven clinical trials will be essential to define the therapeutic utility of CLDN6-directed strategies in ovarian cancer.
One of the major strengths of the present study is the inclusion of a relatively homogeneous cohort of advanced-stage HGSC patients treated with uniform platinum-based chemotherapy, which reduces clinical heterogeneity and allows a more reliable assessment of the biological impact of CLDN6 expression. Several limitations of this study should be acknowledged. First, its retrospective and single-center design may introduce inherent selection bias and limit the generalizability of the findings. Second, although our cohort was restricted to a biologically homogeneous population of advanced-stage HGSC, the sample size remains moderate and warrants validation in larger, multicenter studies. Third, the mechanistic basis underlying the association between CLDN6 expression and platinum resistance was not directly investigated. While experimental data from other tumor models provide plausible explanations, functional studies specifically in HGSC are needed to clarify the molecular pathways involved. Additionally, the impact of maintenance therapies, including bevacizumab and PARP inhibitors, was not specifically analyzed and may have influenced survival outcomes. Finally, although predefined literature-based cut-off values were applied, immunohistochemical assessment of CLDN6 lacks standardized scoring criteria, which may contribute to inter-study variability. Prospective validation studies incorporating biomarker-driven therapeutic stratification will be essential to confirm the clinical utility of CLDN6 in advanced ovarian cancer.

5. Conclusions

High CLDN6 expression was significantly associated with platinum resistance and poorer overall survival in patients with advanced-stage HGSC. These findings suggest that CLDN6 may represent a biomarker reflecting intrinsic tumor aggressiveness and treatment resistance rather than anatomical disease extent. Given the ongoing development of CLDN6-targeted therapies, assessment of CLDN6 expression may have potential clinical relevance for patient stratification. Further prospective validation in larger cohorts is warranted.

Author Contributions

Conceptualization, T.D. and G.D.; Methodology, T.D. and M.A.; Formal analysis, M.A.; Investigation, T.D., A.R.A.D., F.N.U. and E.T.Y.; Data curation, A.R.A.D., M.A. and E.T.Y.; Pathological evaluation, M.K. and F.N.U.; Resources, M.K. and F.N.U.; Writing—original draft preparation, T.D.; Writing—review and editing, T.D., M.K. and G.D.; Supervision, G.D.; Project administration, G.D.; Funding acquisition, G.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Scientific Research Projects Coordination Unit of Ondokuz Mayıs University, grant number BAP01-2025-5953.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Ethics Committee of Ondokuz Mayıs University Faculty of Medicine (approval number: 2025/33; date: 12 February 2025).

Data Availability Statement

The data presented in this study are available from the corresponding author upon reasonable request. The data are not publicly available due to privacy and ethical restrictions.

Acknowledgments

The authors thank the Department of Pathology and the Department of Medical Oncology of Ondokuz Mayıs University Faculty of Medicine for their support in specimen retrieval and clinical data collection.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Xia, C.; et al. Cancer statistics in China and United States, 2022: profiles, trends, and determinants  . Chinese medical journal 2022, 135(05), 584–590. [Google Scholar] [CrossRef]
  2. Mazidimoradi, A.; et al. The global, regional and national epidemiology, incidence, mortality, and burden of ovarian cancer  . Health Science Reports 2022, 5(6), p. e936. [Google Scholar] [CrossRef]
  3. Stewart, C.; Ralyea, C.; Lockwood, S. Ovarian cancer: an integrated review  . In Seminars in oncology nursing; Elsevier, 2019. [Google Scholar]
  4. Kim, J. Cell origins of high-grade serous ovarian cancer  . Cancers 2018, 10(11), 433. [Google Scholar] [CrossRef] [PubMed]
  5. Henderson, J.T.; Webber, E.M.; Sawaya, G.F. Screening for ovarian cancer: updated evidence report and systematic review for the US preventive services task force  . Jama 2018, 319(6), 595–606. [Google Scholar] [CrossRef] [PubMed]
  6. Karam, A.; et al. Fifth ovarian cancer consensus conference of the gynecologic cancer intergroup: first-line interventions  . Annals of Oncology 2017, 28(4), 711–717. [Google Scholar] [CrossRef]
  7. Perez-Fidalgo, J.A.; et al. SEOM–GEICO clinical guideline on epithelial ovarian cancer (2023)  . Clinical and Translational Oncology 2024, 26(11), 2758–2770. [Google Scholar] [CrossRef]
  8. Davis, A.; Tinker, A.V.; Friedlander, M. “Platinum resistant” ovarian cancer: what is it, who to treat and how to measure benefit? . Gynecologic oncology 2014, 133(3), 624–631. [Google Scholar] [CrossRef]
  9. Rottenberg, S.; Disler, C.; Perego, P. The rediscovery of platinum-based cancer therapy  . Nature Reviews Cancer 2021, 21(1), 37–50. [Google Scholar] [CrossRef]
  10. Lorusso, D.; et al. Emerging role of immune checkpoint inhibitors in the treatment of ovarian cancer  . Expert Opinion on Emerging Drugs 2020, 25(4), 445–453. [Google Scholar] [CrossRef] [PubMed]
  11. Holder, A.M.; et al. Defining clinically useful biomarkers of immune checkpoint inhibitors in solid tumours  . Nature Reviews Cancer 2024, 24(7), 498–512. [Google Scholar] [CrossRef]
  12. Itoh, M.; Bissell, M.J. The organization of tight junctions in epithelia: implications for mammary gland biology and breast tumorigenesis  . Journal of mammary gland biology and neoplasia 2003, 8(4), 449–462. [Google Scholar] [CrossRef] [PubMed]
  13. Otani, T.; Furuse, M. Tight junction structure and function revisited  . Trends in cell biology 2020, 30(10), 805–817. [Google Scholar] [CrossRef]
  14. Adil, M.S.; Narayanan, S.P.; Somanath, P.R. Cell-cell junctions: structure and regulation in physiology and pathology  . Tissue Barriers 2021, 9(1), 1848212. [Google Scholar] [CrossRef]
  15. Du, H. Claudin 6: Therapeutic prospects for tumours, and mechanisms of expression and regulation  . Molecular medicine reports 2021, 24(3), p. 677. [Google Scholar] [CrossRef]
  16. Ji, W.; et al. Tight junctional protein family, Claudins in cancer and cancer metastasis  . Frontiers in Oncology 2025, 15, 1596460. [Google Scholar] [CrossRef] [PubMed]
  17. Lal-Nag, á.; et al. Claudin-6: a novel receptor for CPE-mediated cytotoxicity in ovarian cancer  . Oncogenesis 2012, 1(11), e33–e33. [Google Scholar] [CrossRef]
  18. Zhang, C. Identification of claudin-6 as a molecular biomarker in pan-cancer through multiple omics integrative analysis  . Frontiers in Cell and Developmental Biology 2021, 9, 726656. [Google Scholar] [CrossRef]
  19. Qu, H.; Jin, Q.; Quan, C. CLDN6: from traditional barrier function to emerging roles in cancers  . International journal of molecular sciences 2021, 22(24), 13416. [Google Scholar] [CrossRef]
  20. Wang, D.-W.; et al. The role and mechanism of claudins in cancer  . Frontiers in oncology 2022, 12, 1051497. [Google Scholar] [CrossRef]
  21. Stadler, C.R.; et al. Characterization of the first-in-class T-cell-engaging bispecific single-chain antibody for targeted immunotherapy of solid tumors expressing the oncofetal protein claudin 6  . Oncoimmunology 2016, 5(3), p. e1091555. [Google Scholar] [CrossRef] [PubMed]
  22. Kong, F.-E.; et al. Targeting tumor lineage plasticity in hepatocellular carcinoma using an anti-CLDN6 antibody-drug conjugate  . Science Translational Medicine 2021, 13(579), p. eabb6282. [Google Scholar] [CrossRef]
  23. McDermott, M.S.; et al. Preclinical efficacy of the antibody–drug conjugate CLDN6–23-ADC for the treatment of CLDN6-positive solid tumors  . Clinical Cancer Research 2023, 29(11), 2131–2143. [Google Scholar] [CrossRef]
  24. Meinhold-Heerlein, I.; et al. The new WHO classification of ovarian, fallopian tube, and primary peritoneal cancer and its clinical implications  . Archives of gynecology and obstetrics 2016, 293(4), 695–700. [Google Scholar] [CrossRef] [PubMed]
  25. Mutch, D.G.; Prat, J. FIGO staging for ovarian, fallopian tube and peritoneal cancer. Gynecologic oncology 2014, 133(3), 401–404. [Google Scholar] [CrossRef] [PubMed]
  26. Schwartz, L.H.; et al. RECIST 1.1—Update and clarification: From the RECIST committee  . European journal of cancer 2016, 62, 132–137. [Google Scholar] [CrossRef]
  27. Mackensen, A.; et al. CLDN6-specific CAR-T cells plus amplifying RNA vaccine in relapsed or refractory solid tumors: the phase 1 BNT211-01 trial  . Nature medicine 2023, 29(11), 2844–2853. [Google Scholar] [CrossRef]
  28. Wang, L.; et al. Clinicopathologic significance of claudin-6, occludin, and matrix metalloproteinases− 2 expression in ovarian carcinoma  . Diagnostic pathology 2013, 8(1), p. 190. [Google Scholar] [CrossRef]
  29. Kojima, M.; et al. Prognostic significance of aberrant claudin-6 expression in endometrial cancer  . Cancers 2020, 12(10), 2748. [Google Scholar] [CrossRef] [PubMed]
  30. Yuceer, R.O.; et al. The prognostic and therapeutic potential of Claudin-6 and Trop-2 expression as targeted biomarkers in serous ovarian cancer: An observational study  . Medicine 2025, 104(26), p. e43110. [Google Scholar] [CrossRef]
  31. Gao, P.; et al. Association of CLDN6 and CLDN10 with immune microenvironment in ovarian cancer: a study of the claudin family  . Frontiers in genetics 2021, 12, 595436. [Google Scholar] [CrossRef]
  32. Ito, Y.; et al. Aberrant expression of claudin-6 contributes to malignant potentials and drug resistance of cervical adenocarcinoma  . Cancer Science 2022, 113(4), 1519–1530. [Google Scholar] [CrossRef] [PubMed]
  33. Simon, A.G.; et al. The tight junction protein claudin 6 is a potential target for patient-individualized treatment in esophageal and gastric adenocarcinoma and is associated with poor prognosis  . Journal of Translational Medicine 2023, 21(1), p. 552. [Google Scholar] [CrossRef] [PubMed]
  34. Saviano, A.; et al. Claudin proteins as emerging therapeutic targets for solid tumours  . Nature Reviews Cancer 2026, 1–20. [Google Scholar] [CrossRef] [PubMed]
  35. Katoh, M.; Katoh, M. Claudin 1, 4, 6 and 18 isoform 2 as targets for the treatment of cancer  . International Journal of Molecular Medicine 2024, 54(5), p. 100. [Google Scholar] [CrossRef]
  36. Katoh, M.; et al. Antibody-drug conjugates targeting the cadherin, claudin and nectin families of adhesion molecules  . Frontiers in Molecular Medicine 2025. 5, 1661016. [Google Scholar] [CrossRef]
Figure 1. A total of 149 patients with advanced-stage HGSC were assessed, and 119 patients were included in the final analysis after exclusions. CLDN6 expression was categorized as low (n = 88) or high (n = 31), and survival and platinum response analyses were performed.
Figure 1. A total of 149 patients with advanced-stage HGSC were assessed, and 119 patients were included in the final analysis after exclusions. CLDN6 expression was categorized as low (n = 88) or high (n = 31), and survival and platinum response analyses were performed.
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Figure 2. Claudin-6 immunohistochemical expression in tumor samples. High Claudin-6 expression, demonstrating diffuse, moderate-to-strong (2+–3+) membranous staining in ≥50% of tumor cells (A–B; insets show higher magnification). Low Claudin-6 expression, showing absent to weak (0–1+) staining and/or expression in <50% of tumor cells (C–D).
Figure 2. Claudin-6 immunohistochemical expression in tumor samples. High Claudin-6 expression, demonstrating diffuse, moderate-to-strong (2+–3+) membranous staining in ≥50% of tumor cells (A–B; insets show higher magnification). Low Claudin-6 expression, showing absent to weak (0–1+) staining and/or expression in <50% of tumor cells (C–D).
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Figure 3. Kaplan–Meier overall survival (OS) curves according to Claudin-6 expression. Patients with high Claudin-6 expression exhibited shorter overall survival compared to those with low expression; however, the difference was not statistically significant (log-rank p = 0.42).
Figure 3. Kaplan–Meier overall survival (OS) curves according to Claudin-6 expression. Patients with high Claudin-6 expression exhibited shorter overall survival compared to those with low expression; however, the difference was not statistically significant (log-rank p = 0.42).
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Table 1. Clinicopathologic characteristics according to CLDN6 expression.
Table 1. Clinicopathologic characteristics according to CLDN6 expression.
Variable CLDN6 Low (n=88) CLDN6 High (n=31) p-value
Age 0.643
   ≤62 years 44 (50.0%) 17 (54.8%)
   >62 years 44 (50.0%) 14 (45.2%)
CA-125 level 0.159
   <714.5 U/mL 41 (46.6%) 19 (61.3%)
      ≥714.5 U/mL 47 (53.4%) 12 (38.7%)
Lymph node metastasis 0.991
   Absent 51 (58.0%) 18 (58.1%)
   Present 37 (42.0%) 13 (41.9%)
Distant metastasis 0.492
   Absent 78 (88.6%) 26 (83.9%)
   Present 10 (11.4%) 5 (16.1%)
Neoadjuvant chemotherapy 0.763
   No 37 (42.0%) 14 (45.2%)
   Yes 51 (58.0%) 17 (54.8%)
Surgical approach 0.311
   No surgery 9 (10.2%) 6 (19.4%)
   Primary debulking surgery 37 (42.0%) 14 (45.2%)
   Interval debulking surgery 42 (47.7%) 11 (35.5%)
Residual disease* 0.856
   No residual tumor 30 (38.0%) 10 (40.0%)
   Residual tumor present 49 (62.0%) 15 (60.0%)
PFI 0.001
   Platinum-resistant 25 (28.4%) 19 (61.3%)
   Platinum-sensitive 63 (71.6%) 12 (38.7%)
*Residual disease was evaluated among surgically treated patients (n=104). Values are presented as n (%). P values were calculated using the chi-square test or Fisher’s exact test, as appropriate. CLDN6, Claudin-6; CA-125, cancer antigen 125; PFI, platinum-free interval.
Table 2. Multivariable logistic regression analysis of factors associated with platinum resistance.
Table 2. Multivariable logistic regression analysis of factors associated with platinum resistance.
Variable Odds Ratio (OR) 95% CI p-value
High CLDN6 expression 4.52 1.49 –13.68 0.008
Lymph node metastasis 0.81 0.31 –2.12 0.672
Distant metastasis 3.58 0.79 –16.14 0.097
Residual disease 10.12 2.87 –35.74 <0.001
CA-125 level 0.64 0.42 –0.98 0.041
Age 1.04 0.99 –1.08 0.135
OR, odds ratio; CI, confidence interval; CLDN6, Claudin-6; CA-125, cancer antigen 125.
Table 3. Overall survival according to clinicopathologic variables.
Table 3. Overall survival according to clinicopathologic variables.
Variable Median OS (months) 95% CI p- value
Overall 43.80 38.05–49.54
Age 0.326
   <62 years 44.06 39.78–48.35
   ≥62 years 43.06 29.74–56.38
CLDN6 expression 0.042
   Low 45.73 36.75–54.71
   High 38.00 23.90–52.09
CA-125 level 0.028
   <714.5 U/mL 51.83 35.31–68.35
   ≥714.5 U/mL 42.26 37.11–47.42
Lymph node metastasis 0.999
   Absent 45.73 38.12–53.34
Present 42.73 39.01–46.45
Distant metastasis 0.016
   Absent 45.73 37.80–53.66
   Present 26.03 4.38–47.67
Neoadjuvant chemotherapy 0.318
   No 45.16 31.98–58.35
   Yes 42.96 37.36–48.56
Surgical approach <0.001
   No surgery 20.36 6.84–33.88
   Primary debulking surgery 45.16 31.98–58.35
   Interval debulking surgery 48.93 40.37–57.39
Residual disease 0.004
   No residual tumor 67.63 43.92–91.34
   Residual tumor present 42.73 36.36–49.10
P values were calculated using the log-rank test. CI, confidence interval; OS, overall survival; CLDN6, Claudin-6; CA-125, cancer antigen 125.
Table 4. Multivariable Cox regression analysis for overall survival.
Table 4. Multivariable Cox regression analysis for overall survival.
Variable Hazard Ratio (HR) 95% Confidence Interval p-value
CLDN6 expression 0.026
   CLDN6 low Reference
   CLDN6 high 1.90 1.08–3.36
CA-125 level 0.027
   <714.50 Reference
   ≥714.50 1.87 1.07–3.25
Distant metastasis 0.144
   Absent Reference
   Present 1.82 0.8–4.08
Surgical approach 0.377
   No surgery after neoadjuvant therapy Reference
   Primary cytoreductive surgery 1.16 0.98–2.35 0.300
   Interval debulking surgery 1.93 0.37–2.41 0.365
Residual disease 0.005
   No residual tumor Reference
   Residual tumor present 2.24 1.26–3.96
HR, hazard ratio; CI, confidence interval; CLDN6, Claudin-6; CA-125, cancer antigen 125. p-values were derived from the multivariable Cox proportional hazards model.
Table 5. Progression-free survival according to clinicopathologic variables.
Table 5. Progression-free survival according to clinicopathologic variables.
Variable 2-year PFS (%) 5-year PFS (%) Median PFS (months) (95% CI) p-value
Overall 28.3 12.6 15.73 (14.63–16.82)
Age 0.724
   <62 25.7 13.0 15.33 (13.86–17.28)
   ≥62 32.1 12.5 16.13 (12.93–19.33)
CLDN6 expression 0.096
   CLDN6 low 31.6 16.6 15.90 (14.15–17.64)
   CLDN6 high 19.4 3.2 15.60 (11.94–19.25)
CA-125 level 0.093
   <714.50 28.8 20.7 16.16 (14.06–18.26)
   ≥714.50 27.9 5.2 15.33 (12.97–17.69)
Lymph node metastasis 0.770
   Absent 29.0 13.7 15.90 (14.73–17.06)
   Present 27.4 11.6 15.60 (14.09–17.10)
Distant metastasis 0.021
   Absent 30.5 13.4 16.13 (14.66–17.60)
   Present 13.3 6.7 10.73 (8.71–12.75)
Neoadjuvant chemotherapy 0.243
   No 32.8 17.3 15.90 (11.96–19.84)
   Yes 25.0 9.6 15.73 (14.65–16.81)
Surgical approach 0.009
   No surgery after neoadjuvant therapy 13.3 9.06 (5.82–12.30)
   Primary cytoreductive surgery 32.8 17.3 15.90 (11.96–19.84)
   Interval debulking surgery 28.3 12.3 16.06 (14.71–17.42)
Residual disease 0.001
   No residual tumor 45.0 26.7 19.36 (15.02–23.70)
   Residual tumor present 21.4 7.2 14.00 (12.10–15.89)
PFS, progression-free survival; CI, confidence interval; CLDN6, Claudin-6; CA-125, cancer antigen 125. p-values were calculated using the log-rank test.
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