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

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

doi:10.1186/s12935-021-02073-w

Cancer Cell International (Jul 2021)

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

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

Affiliations

Dan Meng: Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University
Hua Jin: Clinical Laboratory, Affiliated Tumor Hospital of Nantong University (Nantong Tumor Hospital)
Xing Zhang: Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University
Wenjing Yan: Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University
Qianqian Xia: Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University
Siyuan Shen: Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University
Shuqian Xie: Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University
Mengjing Cui: Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University
Bo Ding: Department of Gynecologic Oncology, Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital
Yun Gu: Department of Pathology, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital
Shizhi Wang: Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University

DOI: https://doi.org/10.1186/s12935-021-02073-w
Journal volume & issue: Vol. 21, no. 1
pp. 1 – 16

Abstract

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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.

Published in Cancer Cell International

ISSN: 1475-2867 (Online)
Publisher: BMC
Country of publisher: United Kingdom
LCC subjects: Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens; Science: Biology (General): Cytology
Website: https://cancerci.biomedcentral.com

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Abstract

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