Identification of autophagy-related risk signatures for the prognosis, diagnosis, and targeted therapy in cervical cancer.
Cancer Cell Int
; 21(1): 362, 2021 Jul 08.
Article
em En
| MEDLINE
| ID: mdl-34238288
ABSTRACT
BACKGROUND:
To rummage autophagy-related prognostic, diagnostic, and therapeutic biomarkers in cervical cancer (CC).METHODS:
The RNA-sequence and clinical information were from the TCGA and GTEx databases. We operated Cox regression to determine signatures related to overall survival (OS) and recurrence-free survival (RFS) respectively. The diagnostic and therapeutic effectiveness of prognostic biomarkers were further explored.RESULTS:
We identified nine (VAMP7, MTMR14, ATG4D, KLHL24, TP73, NAMPT, CD46, HGS, ATG4C) and three risk signatures (SERPINA1, HSPB8, SUPT20H) with prognostic values for OS and RFS respectively. Six risk signatures (ATG4C, ATG4D, CD46, TP73, SERPINA1, HSPB8) were selected for qPCR. We screened five prognostic signatures(ATG4C, CD46, HSPB8, MTMR14, NAMPT) with diagnostic function through the GEO database. Correlation between our models and treatment targets certificated the prognostic score provided a reference for precision medicine.CONCLUSIONS:
We constructed OS and RFS prognostic models in CC. Autophagy-related risk signatures might serve as diagnostic and therapeutic biomarkers.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Diagnostic_studies
/
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Cancer Cell Int
Ano de publicação:
2021
Tipo de documento:
Article
País de afiliação:
China