Skip to main content
Top
Published in: Cancer Cell International 1/2021

Open Access 01-12-2021 | Cervical Cancer | Primary research

Identification of autophagy-related risk signatures for the prognosis, diagnosis, and targeted therapy in cervical cancer

Authors: Dan Meng, Hua Jin, Xing Zhang, Wenjing Yan, Qianqian Xia, Siyuan Shen, Shuqian Xie, Mengjing Cui, Bo Ding, Yun Gu, Shizhi Wang

Published in: Cancer Cell International | Issue 1/2021

Login to get access

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.
Appendix
Available only for authorised users
Literature
4.
go back to reference Bjurberg M, Beskow C, Kannisto P, Lindahl G. Cervical cancer is a clinical challenge. Lakartidningen. 2015;112:DIUS.PubMed Bjurberg M, Beskow C, Kannisto P, Lindahl G. Cervical cancer is a clinical challenge. Lakartidningen. 2015;112:DIUS.PubMed
12.
go back to reference Li X, Gong Z, Zhang L, et al. Autophagy knocked down by high-risk HPV infection and uterine cervical carcinogenesis. Int J Clin Exp Med. 2015;8(7):10304–14.PubMedPubMedCentral Li X, Gong Z, Zhang L, et al. Autophagy knocked down by high-risk HPV infection and uterine cervical carcinogenesis. Int J Clin Exp Med. 2015;8(7):10304–14.PubMedPubMedCentral
18.
go back to reference Brianti P, De Flammineis E, Mercuri SR. Review of HPV-related diseases and cancers. New Microbiol. 2017;40(2):80–5.PubMed Brianti P, De Flammineis E, Mercuri SR. Review of HPV-related diseases and cancers. New Microbiol. 2017;40(2):80–5.PubMed
31.
go back to reference Zhang XM, Li HJ, Wang D, Li C, Chen Q, Li CL. Expressions and clinical significance of autophagy-related genes ATG2B, ATG4D, ATG9B in breast carcinoma. Sichuan da xue xue bao Yi xue ban J Sichuan Univ Med Sci. 2016;47(2):184–8. Zhang XM, Li HJ, Wang D, Li C, Chen Q, Li CL. Expressions and clinical significance of autophagy-related genes ATG2B, ATG4D, ATG9B in breast carcinoma. Sichuan da xue xue bao Yi xue ban J Sichuan Univ Med Sci. 2016;47(2):184–8.
40.
go back to reference Surowiak P, Materna V, Maciejczyk A, et al. CD46 expression is indicative of shorter revival-free survival for ovarian cancer patients. Anticancer Res. 2006;26(6c):4943–8.PubMed Surowiak P, Materna V, Maciejczyk A, et al. CD46 expression is indicative of shorter revival-free survival for ovarian cancer patients. Anticancer Res. 2006;26(6c):4943–8.PubMed
47.
go back to reference Yang W, Niu L, Zhao X, et al. Development and validation of a survival model based on autophagy-associated genes for predicting prognosis of hepatocellular carcinoma. Am J Transl Res. 2020;12(10):6705–22.PubMedPubMedCentral Yang W, Niu L, Zhao X, et al. Development and validation of a survival model based on autophagy-associated genes for predicting prognosis of hepatocellular carcinoma. Am J Transl Res. 2020;12(10):6705–22.PubMedPubMedCentral
Metadata
Title
Identification of autophagy-related risk signatures for the prognosis, diagnosis, and targeted therapy in cervical cancer
Authors
Dan Meng
Hua Jin
Xing Zhang
Wenjing Yan
Qianqian Xia
Siyuan Shen
Shuqian Xie
Mengjing Cui
Bo Ding
Yun Gu
Shizhi Wang
Publication date
01-12-2021
Publisher
BioMed Central
Published in
Cancer Cell International / Issue 1/2021
Electronic ISSN: 1475-2867
DOI
https://doi.org/10.1186/s12935-021-02073-w

Other articles of this Issue 1/2021

Cancer Cell International 1/2021 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine