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

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 recur...

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Autores principales: Meng, Dan, Jin, Hua, Zhang, Xing, Yan, Wenjing, Xia, Qianqian, Shen, Siyuan, Xie, Shuqian, Cui, Mengjing, Ding, Bo, Gu, Yun, Wang, Shizhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Primary Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268251/
https://www.ncbi.nlm.nih.gov/pubmed/34238288
http://dx.doi.org/10.1186/s12935-021-02073-w
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author Meng, Dan
Jin, Hua
Zhang, Xing
Yan, Wenjing
Xia, Qianqian
Shen, Siyuan
Xie, Shuqian
Cui, Mengjing
Ding, Bo
Gu, Yun
Wang, Shizhi
author_facet Meng, Dan
Jin, Hua
Zhang, Xing
Yan, Wenjing
Xia, Qianqian
Shen, Siyuan
Xie, Shuqian
Cui, Mengjing
Ding, Bo
Gu, Yun
Wang, Shizhi
author_sort Meng, Dan
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-021-02073-w.
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spelling pubmed-82682512021-07-09 Identification of autophagy-related risk signatures for the prognosis, diagnosis, and targeted therapy in cervical cancer Meng, Dan Jin, Hua Zhang, Xing Yan, Wenjing Xia, Qianqian Shen, Siyuan Xie, Shuqian Cui, Mengjing Ding, Bo Gu, Yun Wang, Shizhi Cancer Cell Int Primary Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-021-02073-w. BioMed Central 2021-07-08 /pmc/articles/PMC8268251/ /pubmed/34238288 http://dx.doi.org/10.1186/s12935-021-02073-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Primary Research
Meng, Dan
Jin, Hua
Zhang, Xing
Yan, Wenjing
Xia, Qianqian
Shen, Siyuan
Xie, Shuqian
Cui, Mengjing
Ding, Bo
Gu, Yun
Wang, Shizhi
Identification of autophagy-related risk signatures for the prognosis, diagnosis, and targeted therapy in cervical cancer
title Identification of autophagy-related risk signatures for the prognosis, diagnosis, and targeted therapy in cervical cancer
title_full Identification of autophagy-related risk signatures for the prognosis, diagnosis, and targeted therapy in cervical cancer
title_fullStr Identification of autophagy-related risk signatures for the prognosis, diagnosis, and targeted therapy in cervical cancer
title_full_unstemmed Identification of autophagy-related risk signatures for the prognosis, diagnosis, and targeted therapy in cervical cancer
title_short Identification of autophagy-related risk signatures for the prognosis, diagnosis, and targeted therapy in cervical cancer
title_sort identification of autophagy-related risk signatures for the prognosis, diagnosis, and targeted therapy in cervical cancer
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268251/
https://www.ncbi.nlm.nih.gov/pubmed/34238288
http://dx.doi.org/10.1186/s12935-021-02073-w
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