A machine learning approach to identify predictive molecular markers for cisplatin chemosensitivity following surgical resection in ovarian cancer.

Ovarian cancer is associated with poor prognosis. Platinum resistance contributes significantly to the high rate of tumour recurrence. We aimed to identify a set of molecular markers for predicting platinum sensitivity. A signature predicting cisplatin sensitivity was generated using the Genomics of Drug Sensitivity in Cancer and The Cancer Genome Atlas databases. Four potential biomarkers (CYTH3, GALNT3, S100A14, and ERI1) were identified and optimized for immunohistochemistry (IHC). Validation was performed on a cohort of patients (n = 50) treated with surgical resection followed by adjuvant carboplatin. Predictive models were established to predict chemosensitivity. The four biomarkers were also assessed for their ability to prognosticate overall survival in three ovarian cancer microarray expression datasets from The Gene Expression Omnibus. The extreme gradient boosting (XGBoost) algorithm was selected for the final model to validate the accuracy in an independent validation dataset (n = 10). CYTH3 and S100A14, followed by nodal stage, were the features with the greatest importance. The four gene signature had comparable prognostication as clinical information for two-year survival. Assessment of tumour biology by means of gene expression can serve as an adjunct for prediction of chemosensitivity and prognostication. Potentially, the assessment of molecular markers alongside clinical information offers a chance to further optimise therapeutic decision making.

Clinical features and survival outcomes of ocular melanoma in a multi-ethnic Asian cohort.

Ocular melanomas are uncommon cancers in Southeast Asia unlike in the West. We conducted a retrospective review of patients (n = 44) with histologically-proven ocular melanoma within a multi-ethnic Asian cohort from Singapore. Clinicopathological features and relapse patterns were examined, and survival outcomes of interest included recurrence-free survival (RFS) and overall survival (OS). Survival analysis was performed using the Kaplan-Meier method and multivariable Cox proportional regression. The study cohort included 18 male and 26 female patients, with a median age of 52 years (range 8-78). Median follow-up was 154 months. For uveal melanomas (n = 29), the 5-year RFS and OS was 56.8% and 76.6%, respectively; whilst for conjunctival melanomas (n = 15), the 5-year RFS and OS was 30.1% and 68.8%, respectively. Fifteen patients (38.5%) eventually developed metastasis, following which the median survival was only 17 months. Multivariate analysis demonstrated that higher T stage was a significant independent predictor for both OS (HR 8.69, 95% CI 1.03 to 73.09, p = 0.047) and RFS (HR 11.62, 95% CI 2.45 to 55.00, p = 0.002). Smoking history was independently predictive of better RFS (HR 0.08, 95% CI 0.01 to 0.78, p = 0.030). In conclusion, our study demonstrates the poor ocular melanoma outcomes in Southeast Asians, highlighting the necessity for urgent research in this area of unmet clinical need.