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Insights into prognosis and immune infiltration of cuproptosis-related genes in breast cancer

INTRODUCTION: Breast cancer (BC) has been ranking first in incidence and the leading cause of death among female cancers worldwide based on the latest report. Regulated cell death (RCD) plays a significant role in tumor initiation and provides an important target of cancer treatment. Cuproptosis, a...

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Autores principales: Huang, Tingting, Liu, Yankuo, Li, Jiwei, Shi, Bingbing, Shan, Zhengda, Shi, Zhiyuan, Yang, Zhangru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742524/
https://www.ncbi.nlm.nih.gov/pubmed/36518756
http://dx.doi.org/10.3389/fimmu.2022.1054305
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author Huang, Tingting
Liu, Yankuo
Li, Jiwei
Shi, Bingbing
Shan, Zhengda
Shi, Zhiyuan
Yang, Zhangru
author_facet Huang, Tingting
Liu, Yankuo
Li, Jiwei
Shi, Bingbing
Shan, Zhengda
Shi, Zhiyuan
Yang, Zhangru
author_sort Huang, Tingting
collection PubMed
description INTRODUCTION: Breast cancer (BC) has been ranking first in incidence and the leading cause of death among female cancers worldwide based on the latest report. Regulated cell death (RCD) plays a significant role in tumor initiation and provides an important target of cancer treatment. Cuproptosis, a novel form of RCD, is ignited by mitochondrial stress, particularly the lipoylated mitochondrial enzymes aggregation. However, the role of cuproptosis-related genes (CRGs) in tumor generation and progression remains unclear. METHODS: In this study, the mRNA expression data of CRGs in BC and normal breast tissue were extracted from TCGA database, and protein expression patterns of these CRGs were analyzed using UALCAN. The prognostic values of CRGs in BC were explored by using KaplanMeier plotter and Cox regression analysis. Genetic mutations profiles were evaluated using the cBioPortal database. Meanwhile, we utilized CIBERSORT and TIMER 2.0 database to perform the correlation analysis between CRGs and immune cell infiltration. RESULTS: Our results indicated that CRGs expression is significantly different in BC and normal breast tissues. Then we found that upregulated PDHA1 expression was associated with worse endpoint of BC. Moreover, we also performed immune infiltration analysis of CRGs, and demonstrated that PDHA1 expression was closely related to the infiltration levels of CD4+ memory T cell, macrophage M0 and M1 cell and mast cell in BC. CONCLUSIONS: Our results demonstrated the prognostic and immunogenetic values of PDHA1 in BC. Therefore, PDHA1 can be an independent prognostic biomarker and potential target for immunotherapy of BC.
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spelling pubmed-97425242022-12-13 Insights into prognosis and immune infiltration of cuproptosis-related genes in breast cancer Huang, Tingting Liu, Yankuo Li, Jiwei Shi, Bingbing Shan, Zhengda Shi, Zhiyuan Yang, Zhangru Front Immunol Immunology INTRODUCTION: Breast cancer (BC) has been ranking first in incidence and the leading cause of death among female cancers worldwide based on the latest report. Regulated cell death (RCD) plays a significant role in tumor initiation and provides an important target of cancer treatment. Cuproptosis, a novel form of RCD, is ignited by mitochondrial stress, particularly the lipoylated mitochondrial enzymes aggregation. However, the role of cuproptosis-related genes (CRGs) in tumor generation and progression remains unclear. METHODS: In this study, the mRNA expression data of CRGs in BC and normal breast tissue were extracted from TCGA database, and protein expression patterns of these CRGs were analyzed using UALCAN. The prognostic values of CRGs in BC were explored by using KaplanMeier plotter and Cox regression analysis. Genetic mutations profiles were evaluated using the cBioPortal database. Meanwhile, we utilized CIBERSORT and TIMER 2.0 database to perform the correlation analysis between CRGs and immune cell infiltration. RESULTS: Our results indicated that CRGs expression is significantly different in BC and normal breast tissues. Then we found that upregulated PDHA1 expression was associated with worse endpoint of BC. Moreover, we also performed immune infiltration analysis of CRGs, and demonstrated that PDHA1 expression was closely related to the infiltration levels of CD4+ memory T cell, macrophage M0 and M1 cell and mast cell in BC. CONCLUSIONS: Our results demonstrated the prognostic and immunogenetic values of PDHA1 in BC. Therefore, PDHA1 can be an independent prognostic biomarker and potential target for immunotherapy of BC. Frontiers Media S.A. 2022-11-28 /pmc/articles/PMC9742524/ /pubmed/36518756 http://dx.doi.org/10.3389/fimmu.2022.1054305 Text en Copyright © 2022 Huang, Liu, Li, Shi, Shan, Shi and Yang 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 Immunology
Huang, Tingting
Liu, Yankuo
Li, Jiwei
Shi, Bingbing
Shan, Zhengda
Shi, Zhiyuan
Yang, Zhangru
Insights into prognosis and immune infiltration of cuproptosis-related genes in breast cancer
title Insights into prognosis and immune infiltration of cuproptosis-related genes in breast cancer
title_full Insights into prognosis and immune infiltration of cuproptosis-related genes in breast cancer
title_fullStr Insights into prognosis and immune infiltration of cuproptosis-related genes in breast cancer
title_full_unstemmed Insights into prognosis and immune infiltration of cuproptosis-related genes in breast cancer
title_short Insights into prognosis and immune infiltration of cuproptosis-related genes in breast cancer
title_sort insights into prognosis and immune infiltration of cuproptosis-related genes in breast cancer
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742524/
https://www.ncbi.nlm.nih.gov/pubmed/36518756
http://dx.doi.org/10.3389/fimmu.2022.1054305
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