Identification of necroptosis-related gene signatures for predicting the prognosis of ovarian cancer
Yuling Qin,
Yawen Sheng,
Mengxue Ren
et al.
Abstract:Ovarian cancer (OC) is one of the most prevalent and fatal malignant tumors of the female reproductive system. Our research aimed to develop a prognostic model to assist inclinical treatment decision-making.Utilizing data from The Cancer Genome Atlas (TCGA) and copy number variation (CNV) data from the University of California Santa Cruz (UCSC) database, we conducted analyses of differentially expressed genes (DEGs), gene function, and tumor microenvironment (TME) scores in various clusters of OC samples.Next,… Show more
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