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Identification and validation of a five apoptosis-related genes signature for prediction of disease-free survival for testicular germ cell tumors

BACKGROUND: More and more studies have paid attention to the role of apoptosis in tumorigenesis. A variety of apoptosis-related genes (ARGs) are related to tumor progression and resistance to chemotherapy drugs. Therefore, this study aims to establish a prognostic marker for ARG-based testicular ger...

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Autores principales: Zeng, Tengyue, Yao, Liangyu, Zhao, Kai, Cong, Rong, Meng, Xianghu, Song, Ninghong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8039626/
https://www.ncbi.nlm.nih.gov/pubmed/33850760
http://dx.doi.org/10.21037/tau-20-1247
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author Zeng, Tengyue
Yao, Liangyu
Zhao, Kai
Cong, Rong
Meng, Xianghu
Song, Ninghong
author_facet Zeng, Tengyue
Yao, Liangyu
Zhao, Kai
Cong, Rong
Meng, Xianghu
Song, Ninghong
author_sort Zeng, Tengyue
collection PubMed
description BACKGROUND: More and more studies have paid attention to the role of apoptosis in tumorigenesis. A variety of apoptosis-related genes (ARGs) are related to tumor progression and resistance to chemotherapy drugs. Therefore, this study aims to establish a prognostic marker for ARG-based testicular germ cell tumors (TCGT). METHODS: TCGT sequencing data and clinical information were downloaded from The Cancer Genome Atlas (TCGA) database and GEO database. The sequencing data of normal tissues came from the GTEx database. Through univariate COX, LASSO, and multiple COX regression analyses, we screened out key ARGs related to prognosis and constructed a risk signature and a prognostic nomogram. Finally, we performed internal and external verification to verify the signature we have established. RESULTS: Five ARGs, including CHGA, LPCAT1, PPP1CA, PSMB5, UBR2 were selected out and utilized to establish a novel signature. Based on this signature, TCGT patients were divided into high-risk groups and low-risk groups. The results showed that the disease-free survival (DFS) of patients in the high-risk group was lower than that in the low-risk group (P=0.02268). The subsequent univariate and multivariate Cox regression analysis further proved that the features we established are valuable independent prognostic factors (P<0.05). Also, a prognostic nomogram was created to visualize the relationship between various prognostic-related factors and the 1-, 3-, and 5-year DFS of TCGT in the TCGA cohort. CONCLUSIONS: We constructed a new nomogram based on ARGs to predict the risk of testicular tumor recurrence. It can help clinicians better and more intuitively predict the survival of patients.
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spelling pubmed-80396262021-04-12 Identification and validation of a five apoptosis-related genes signature for prediction of disease-free survival for testicular germ cell tumors Zeng, Tengyue Yao, Liangyu Zhao, Kai Cong, Rong Meng, Xianghu Song, Ninghong Transl Androl Urol Original Article BACKGROUND: More and more studies have paid attention to the role of apoptosis in tumorigenesis. A variety of apoptosis-related genes (ARGs) are related to tumor progression and resistance to chemotherapy drugs. Therefore, this study aims to establish a prognostic marker for ARG-based testicular germ cell tumors (TCGT). METHODS: TCGT sequencing data and clinical information were downloaded from The Cancer Genome Atlas (TCGA) database and GEO database. The sequencing data of normal tissues came from the GTEx database. Through univariate COX, LASSO, and multiple COX regression analyses, we screened out key ARGs related to prognosis and constructed a risk signature and a prognostic nomogram. Finally, we performed internal and external verification to verify the signature we have established. RESULTS: Five ARGs, including CHGA, LPCAT1, PPP1CA, PSMB5, UBR2 were selected out and utilized to establish a novel signature. Based on this signature, TCGT patients were divided into high-risk groups and low-risk groups. The results showed that the disease-free survival (DFS) of patients in the high-risk group was lower than that in the low-risk group (P=0.02268). The subsequent univariate and multivariate Cox regression analysis further proved that the features we established are valuable independent prognostic factors (P<0.05). Also, a prognostic nomogram was created to visualize the relationship between various prognostic-related factors and the 1-, 3-, and 5-year DFS of TCGT in the TCGA cohort. CONCLUSIONS: We constructed a new nomogram based on ARGs to predict the risk of testicular tumor recurrence. It can help clinicians better and more intuitively predict the survival of patients. AME Publishing Company 2021-03 /pmc/articles/PMC8039626/ /pubmed/33850760 http://dx.doi.org/10.21037/tau-20-1247 Text en 2021 Translational Andrology and Urology. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Zeng, Tengyue
Yao, Liangyu
Zhao, Kai
Cong, Rong
Meng, Xianghu
Song, Ninghong
Identification and validation of a five apoptosis-related genes signature for prediction of disease-free survival for testicular germ cell tumors
title Identification and validation of a five apoptosis-related genes signature for prediction of disease-free survival for testicular germ cell tumors
title_full Identification and validation of a five apoptosis-related genes signature for prediction of disease-free survival for testicular germ cell tumors
title_fullStr Identification and validation of a five apoptosis-related genes signature for prediction of disease-free survival for testicular germ cell tumors
title_full_unstemmed Identification and validation of a five apoptosis-related genes signature for prediction of disease-free survival for testicular germ cell tumors
title_short Identification and validation of a five apoptosis-related genes signature for prediction of disease-free survival for testicular germ cell tumors
title_sort identification and validation of a five apoptosis-related genes signature for prediction of disease-free survival for testicular germ cell tumors
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8039626/
https://www.ncbi.nlm.nih.gov/pubmed/33850760
http://dx.doi.org/10.21037/tau-20-1247
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