Open AccessIdentification of a Six-Gene Signature for Predicting the Overall Survival of Cervical Cancer Patients
Author(s) -
Xiao Huo,
Xiaoshuang Zhou,
Peng Peng,
Mei Yu,
Ying Zhang,
Jiaxin Yang,
Dongyan Cao,
Hengzi Sun,
Keng Shen
Publication year - 2021
Publication title -
oncotargets and therapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.054
H-Index - 60
ISSN - 1178-6930
DOI - 10.2147/ott.s276553
Subject(s) - cervical cancer , gene , medicine , survival analysis , cancer , gene signature , oncology , single nucleotide polymorphism , bioinformatics , biology , computational biology , genetics , gene expression , genotype
Although the incidence of cervical cancer has decreased in recent decades with the development of human papillomavirus vaccines and cancer screening, cervical cancer remains one of the leading causes of cancer-related death worldwide. Identifying potential biomarkers for cervical cancer treatment and prognosis prediction is necessary.