Identification of a Recurrence Gene Signature for Ovarian Cancer Prognosis by Integrating Single-Cell RNA Sequencing and Bulk Expression Datasets

Identification of a Recurrence Gene Signature for Ovarian Cancer Prognosis by Integrating Single-Cell RNA Sequencing and Bulk Expression Datasets

Ovarian cancer is one of the most common gynecological malignancies in women, with a poor prognosis and high mortality. With the expansion of single-cell RNA sequencing technologies, the inner biological mechanism involved in tumor recurrence should be explored at the single-cell level, and novel pr...

Full description

Bibliographic Details
Main Authors: Yongjian Zhang, Wei Huang, Dejia Chen, Yue Zhao, Fusheng Sun, Zhiqiang Wang, Ge Lou
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Genetics
Subjects:
ovarian cancer
single-cell RNA-seq
prognostic model
immune subtypes
recurrence
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.823082/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2022.823082/full

Similar Items