Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Carcinomas is the subject of a report. According to news originating from Hubei, People’s R epublic of China, by NewsRx correspondents, research stated, “Ovarian clear cell carcinoma (OCCC) is a unique subtype of epithelial ovarian cancer. Advanced OCC C display a poor prognosis.” Our news journalists obtained a quote from the research from the Zhongnan Hospit al of Wuhan University, “Therefore, we aimed to make risk stratification for pre cise medicine. We performed a large next generation sequencing (NGS) gene panel on 44 patients with OCCC in FIGO stage II-IV. Then, by machine learning algorith ms, including extreme gradient boosting (XGBoost), random survival forest (RSF), and Cox regression, we screened for feature genes associated with prognosis and constructed a 5-gene panel for risk stratification. The prediction efficacy of the 5-gene panel was compared with FIGO stage and residual disease by receiver o perating characteristic curve and decision curve analysis. The feature mutated g enes related to prognosis, selected by machine learning algorithms, include MUC1 6, ATM, NOTCH3, KMT2A, and CTNNA1. The 5-gene panel can effectively distinguish the prognosis, as well as platinum response, of advanced OCCC in both internal a nd external cohorts, with the predictive capability superior to FIGO stage and r esidual disease. Mutations in genes, including MUC16, ATM, NOTCH3, KMT2A, and CT NNA1, were associated with the poor prognosis of advanced OCCC.”
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