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A novel 10 glycolysis-related genes signature could predict overall survival for clear cell renal cell carcinoma

BACKGROUND: The role of glycolysis in tumorigenesis has received increasing attention and multiple glycolysis-related genes (GRGs) have been proven to be associated with tumor metastasis. Hence, we aimed to construct a prognostic signature based on GRGs for clear cell renal cell carcinoma (ccRCC) an...

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Autores principales: Xing, Qianwei, Zeng, Tengyue, Liu, Shouyong, Cheng, Hong, Ma, Limin, Wang, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034085/
https://www.ncbi.nlm.nih.gov/pubmed/33836688
http://dx.doi.org/10.1186/s12885-021-08111-0
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author Xing, Qianwei
Zeng, Tengyue
Liu, Shouyong
Cheng, Hong
Ma, Limin
Wang, Yi
author_facet Xing, Qianwei
Zeng, Tengyue
Liu, Shouyong
Cheng, Hong
Ma, Limin
Wang, Yi
author_sort Xing, Qianwei
collection PubMed
description BACKGROUND: The role of glycolysis in tumorigenesis has received increasing attention and multiple glycolysis-related genes (GRGs) have been proven to be associated with tumor metastasis. Hence, we aimed to construct a prognostic signature based on GRGs for clear cell renal cell carcinoma (ccRCC) and to explore its relationships with immune infiltration. METHODS: Clinical information and RNA-sequencing data of ccRCC were obtained from The Cancer Genome Atlas (TCGA) and ArrayExpress datasets. Key GRGs were finally selected through univariate COX, LASSO and multivariate COX regression analyses. External and internal verifications were further carried out to verify our established signature. RESULTS: Finally, 10 GRGs including ANKZF1, CD44, CHST6, HS6ST2, IDUA, KIF20A, NDST3, PLOD2, VCAN, FBP1 were selected out and utilized to establish a novel signature. Compared with the low-risk group, ccRCC patients in high-risk groups showed a lower overall survival (OS) rate (P = 5.548Ee-13) and its AUCs based on our established signature were all above 0.70. Univariate/multivariate Cox regression analyses further proved that this signature could serve as an independent prognostic factor (all P < 0.05). Moreover, prognostic nomograms were also created to find out the associations between the established signature, clinical factors and OS for ccRCC in both the TCGA and ArrayExpress cohorts. All results remained consistent after external and internal verification. Besides, nine out of 21 tumor-infiltrating immune cells (TIICs) were highly related to high- and low- risk ccRCC patients stratified by our established signature. CONCLUSIONS: A novel signature based on 10 prognostic GRGs was successfully established and verified externally and internally for predicting OS of ccRCC, helping clinicians better and more intuitively predict patients’ survival. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08111-0.
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spelling pubmed-80340852021-04-12 A novel 10 glycolysis-related genes signature could predict overall survival for clear cell renal cell carcinoma Xing, Qianwei Zeng, Tengyue Liu, Shouyong Cheng, Hong Ma, Limin Wang, Yi BMC Cancer Research Article BACKGROUND: The role of glycolysis in tumorigenesis has received increasing attention and multiple glycolysis-related genes (GRGs) have been proven to be associated with tumor metastasis. Hence, we aimed to construct a prognostic signature based on GRGs for clear cell renal cell carcinoma (ccRCC) and to explore its relationships with immune infiltration. METHODS: Clinical information and RNA-sequencing data of ccRCC were obtained from The Cancer Genome Atlas (TCGA) and ArrayExpress datasets. Key GRGs were finally selected through univariate COX, LASSO and multivariate COX regression analyses. External and internal verifications were further carried out to verify our established signature. RESULTS: Finally, 10 GRGs including ANKZF1, CD44, CHST6, HS6ST2, IDUA, KIF20A, NDST3, PLOD2, VCAN, FBP1 were selected out and utilized to establish a novel signature. Compared with the low-risk group, ccRCC patients in high-risk groups showed a lower overall survival (OS) rate (P = 5.548Ee-13) and its AUCs based on our established signature were all above 0.70. Univariate/multivariate Cox regression analyses further proved that this signature could serve as an independent prognostic factor (all P < 0.05). Moreover, prognostic nomograms were also created to find out the associations between the established signature, clinical factors and OS for ccRCC in both the TCGA and ArrayExpress cohorts. All results remained consistent after external and internal verification. Besides, nine out of 21 tumor-infiltrating immune cells (TIICs) were highly related to high- and low- risk ccRCC patients stratified by our established signature. CONCLUSIONS: A novel signature based on 10 prognostic GRGs was successfully established and verified externally and internally for predicting OS of ccRCC, helping clinicians better and more intuitively predict patients’ survival. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08111-0. BioMed Central 2021-04-09 /pmc/articles/PMC8034085/ /pubmed/33836688 http://dx.doi.org/10.1186/s12885-021-08111-0 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 Research Article
Xing, Qianwei
Zeng, Tengyue
Liu, Shouyong
Cheng, Hong
Ma, Limin
Wang, Yi
A novel 10 glycolysis-related genes signature could predict overall survival for clear cell renal cell carcinoma
title A novel 10 glycolysis-related genes signature could predict overall survival for clear cell renal cell carcinoma
title_full A novel 10 glycolysis-related genes signature could predict overall survival for clear cell renal cell carcinoma
title_fullStr A novel 10 glycolysis-related genes signature could predict overall survival for clear cell renal cell carcinoma
title_full_unstemmed A novel 10 glycolysis-related genes signature could predict overall survival for clear cell renal cell carcinoma
title_short A novel 10 glycolysis-related genes signature could predict overall survival for clear cell renal cell carcinoma
title_sort novel 10 glycolysis-related genes signature could predict overall survival for clear cell renal cell carcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034085/
https://www.ncbi.nlm.nih.gov/pubmed/33836688
http://dx.doi.org/10.1186/s12885-021-08111-0
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