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Identification of Prognosis Biomarkers for High-Grade Serous Ovarian Cancer Based on Stemness

14 Mar 2022

Abstract excerpt

In this paper, high-grade serous ovarian cancer (HGSOC) is studied, which is the most common histological subtype of ovarian cancer. We use a new analytical procedure to combine the bulk RNA-Seq sample for ovarian cancer, mRNA expression-based stemness index (mRNAsi), and single-cell data for ovarian cancer. Through integrating bulk RNA-Seq sample of cancer samples from TCGA, UCSC Xena and single-cell RNA-Seq...

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Cancer-related molecular mechanisms research
Ferroptosis and cancer prognosis
MicroRNA in disease regulation

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 35360863
DOI: 10.3389/fgene.2022.861954

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