Assessing the clinical utility of multi-omics data for predicting serous ovarian cancer prognosis

Assessing the clinical utility of multi-omics data for predicting serous ovarian cancer prognosis

Ovarian cancer (OC) is characterised by heterogeneity that complicates the prediction of patient survival and treatment outcomes. Here, we conducted analyses to predict the prognosis of patients from the Genomic Data Commons database and validated the predictions by fivefold cross-validation and by...

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Bibliographic Details
Main Authors: Zhe Zhang, Zhiyao Wei, Luyang Zhao, Chenglei Gu, Yuanguang Meng
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Journal of Obstetrics and Gynaecology
Subjects:
ovarian cancer
prognosis
treatment
biomarker
multi-omics data and prediction model
Online Access:http://dx.doi.org/10.1080/01443615.2023.2171778

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