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Identification of a novel glycolysis-related prognosis risk signature in triple-negative breast cancer
INTRODUCTION: Triple-negative breast cancer (TNBC) is a particularly aggressive cluster of breast cancer characterized by significant molecular heterogeneity. Glycolysis is a metabolic pathway that is significantly associated with cancer progression, metastasis, recurrence and chemoresistance. Howev...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233057/ https://www.ncbi.nlm.nih.gov/pubmed/37274269 http://dx.doi.org/10.3389/fonc.2023.1171496 |
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author | Ruan, Yuxia Tang, Qiang Qiao, Jianghua Wang, Jiabin Li, Huimin Yue, Xiayu Sun, Yadong Wang, Peili Yang, Hanzhao Liu, Zhenzhen |
author_facet | Ruan, Yuxia Tang, Qiang Qiao, Jianghua Wang, Jiabin Li, Huimin Yue, Xiayu Sun, Yadong Wang, Peili Yang, Hanzhao Liu, Zhenzhen |
author_sort | Ruan, Yuxia |
collection | PubMed |
description | INTRODUCTION: Triple-negative breast cancer (TNBC) is a particularly aggressive cluster of breast cancer characterized by significant molecular heterogeneity. Glycolysis is a metabolic pathway that is significantly associated with cancer progression, metastasis, recurrence and chemoresistance. However, the potential roles of glycolysis-related genes in TNBC remain unclear. METHODS: In the present study, we identified 108 glycolysis-related differentially expressed genes (DEGs) between breast cancer (BRCA) tumor tissues and normal tissues, and we divided patients into two different clusters with significantly distinct molecular characteristics, clinicopathological features, prognosis, immune cell infiltration and mutation burden. We then constructed a 10-gene signature that classified all TNBCs into low- and high-risk groups. RESULTS: The high-risk group had significantly lower survival than the low-risk group, which implied that the risk score was an independent prognostic indicator for TNBC patients. Consequently, we constructed and validated a prognostic nomogram, which accurately predicted individual overall survival (OS) of TNBC. Moreover, the risk score predicted the drug sensitivity of chemotherapeutic agents and immunotherapy for TNBC patients. DISCUSSION: The present comprehensive analysis of glycolysis-related DEGs in TNBC provides new methods for prognosis prediction and more effective treatment strategies. |
format | Online Article Text |
id | pubmed-10233057 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102330572023-06-02 Identification of a novel glycolysis-related prognosis risk signature in triple-negative breast cancer Ruan, Yuxia Tang, Qiang Qiao, Jianghua Wang, Jiabin Li, Huimin Yue, Xiayu Sun, Yadong Wang, Peili Yang, Hanzhao Liu, Zhenzhen Front Oncol Oncology INTRODUCTION: Triple-negative breast cancer (TNBC) is a particularly aggressive cluster of breast cancer characterized by significant molecular heterogeneity. Glycolysis is a metabolic pathway that is significantly associated with cancer progression, metastasis, recurrence and chemoresistance. However, the potential roles of glycolysis-related genes in TNBC remain unclear. METHODS: In the present study, we identified 108 glycolysis-related differentially expressed genes (DEGs) between breast cancer (BRCA) tumor tissues and normal tissues, and we divided patients into two different clusters with significantly distinct molecular characteristics, clinicopathological features, prognosis, immune cell infiltration and mutation burden. We then constructed a 10-gene signature that classified all TNBCs into low- and high-risk groups. RESULTS: The high-risk group had significantly lower survival than the low-risk group, which implied that the risk score was an independent prognostic indicator for TNBC patients. Consequently, we constructed and validated a prognostic nomogram, which accurately predicted individual overall survival (OS) of TNBC. Moreover, the risk score predicted the drug sensitivity of chemotherapeutic agents and immunotherapy for TNBC patients. DISCUSSION: The present comprehensive analysis of glycolysis-related DEGs in TNBC provides new methods for prognosis prediction and more effective treatment strategies. Frontiers Media S.A. 2023-05-18 /pmc/articles/PMC10233057/ /pubmed/37274269 http://dx.doi.org/10.3389/fonc.2023.1171496 Text en Copyright © 2023 Ruan, Tang, Qiao, Wang, Li, Yue, Sun, Wang, Yang and Liu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Ruan, Yuxia Tang, Qiang Qiao, Jianghua Wang, Jiabin Li, Huimin Yue, Xiayu Sun, Yadong Wang, Peili Yang, Hanzhao Liu, Zhenzhen Identification of a novel glycolysis-related prognosis risk signature in triple-negative breast cancer |
title | Identification of a novel glycolysis-related prognosis risk signature in triple-negative breast cancer |
title_full | Identification of a novel glycolysis-related prognosis risk signature in triple-negative breast cancer |
title_fullStr | Identification of a novel glycolysis-related prognosis risk signature in triple-negative breast cancer |
title_full_unstemmed | Identification of a novel glycolysis-related prognosis risk signature in triple-negative breast cancer |
title_short | Identification of a novel glycolysis-related prognosis risk signature in triple-negative breast cancer |
title_sort | identification of a novel glycolysis-related prognosis risk signature in triple-negative breast cancer |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233057/ https://www.ncbi.nlm.nih.gov/pubmed/37274269 http://dx.doi.org/10.3389/fonc.2023.1171496 |
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