Identification and validation of a miRNA-based prognostic signature for cervical cancer through an integrated bioinformatics approach.

ABSTRACT: Cervical cancer is the fourth most common cancer in women worldwide. Increasing evidence has shown that miRNAs are related to the progression of cervical cancer. However, the mechanisms that affect the prognosis of cancer are still largely unknown. In the present study, we sought to identify miRNAs associated with poor prognosis of patient with cervical cancer, as well as the possible mechanisms regulated by them. The miRNA expression profiles and relevant clinical information of patients with cervical cancer were obtained from The Cancer Genome Atlas (TCGA). The selection of prognostic miRNAs was carried out through an integrated bioinformatics approach. The most effective miRNAs with synergistic and additive effects were selected for validation through in vitro experiments. Three miRNAs

SUBMITTER: Qi Y 

PROVIDER: S-EPMC7747620 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature