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Identification of Immune-Related Breast Cancer Chemotherapy Resistance Genes via Bioinformatics Approaches
Chemotherapy resistance in breast cancer is an important factor affecting the prognosis of breast cancer patients. We computationally analyzed the differences in gene expression before and after chemotherapy in breast cancer patients, drug-sensitive groups, and drug-resistant groups. Through functio...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8978268/ https://www.ncbi.nlm.nih.gov/pubmed/35387129 http://dx.doi.org/10.3389/fonc.2022.772723 |
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author | Du, Yabing Han, Yikai Wang, Xin Wang, Huanrong Qu, Yanhong Guo, Kaiyuan Ma, Wang Fu, Lijun |
author_facet | Du, Yabing Han, Yikai Wang, Xin Wang, Huanrong Qu, Yanhong Guo, Kaiyuan Ma, Wang Fu, Lijun |
author_sort | Du, Yabing |
collection | PubMed |
description | Chemotherapy resistance in breast cancer is an important factor affecting the prognosis of breast cancer patients. We computationally analyzed the differences in gene expression before and after chemotherapy in breast cancer patients, drug-sensitive groups, and drug-resistant groups. Through functional enrichment analysis, immune microenvironment analysis, and other computational analysis methods, we identified PRC1, GGTLC1, and IRS1 as genes that may mediate breast cancer chemoresistance through the immune pathway. After validation of certain other clinical datasets and in vitro cellular assays, we found that the above three genes influenced drug resistance in breast cancer patients and were closely related to the tumor immune microenvironment. Our finding that chemoresistance in breast cancer could be influenced by the mediation of tumor immunity expanded our knowledge of how to address this problem and could guide future research involving chemoresistance. |
format | Online Article Text |
id | pubmed-8978268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89782682022-04-05 Identification of Immune-Related Breast Cancer Chemotherapy Resistance Genes via Bioinformatics Approaches Du, Yabing Han, Yikai Wang, Xin Wang, Huanrong Qu, Yanhong Guo, Kaiyuan Ma, Wang Fu, Lijun Front Oncol Oncology Chemotherapy resistance in breast cancer is an important factor affecting the prognosis of breast cancer patients. We computationally analyzed the differences in gene expression before and after chemotherapy in breast cancer patients, drug-sensitive groups, and drug-resistant groups. Through functional enrichment analysis, immune microenvironment analysis, and other computational analysis methods, we identified PRC1, GGTLC1, and IRS1 as genes that may mediate breast cancer chemoresistance through the immune pathway. After validation of certain other clinical datasets and in vitro cellular assays, we found that the above three genes influenced drug resistance in breast cancer patients and were closely related to the tumor immune microenvironment. Our finding that chemoresistance in breast cancer could be influenced by the mediation of tumor immunity expanded our knowledge of how to address this problem and could guide future research involving chemoresistance. Frontiers Media S.A. 2022-03-21 /pmc/articles/PMC8978268/ /pubmed/35387129 http://dx.doi.org/10.3389/fonc.2022.772723 Text en Copyright © 2022 Du, Han, Wang, Wang, Qu, Guo, Ma and Fu 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 Du, Yabing Han, Yikai Wang, Xin Wang, Huanrong Qu, Yanhong Guo, Kaiyuan Ma, Wang Fu, Lijun Identification of Immune-Related Breast Cancer Chemotherapy Resistance Genes via Bioinformatics Approaches |
title | Identification of Immune-Related Breast Cancer Chemotherapy Resistance Genes via Bioinformatics Approaches |
title_full | Identification of Immune-Related Breast Cancer Chemotherapy Resistance Genes via Bioinformatics Approaches |
title_fullStr | Identification of Immune-Related Breast Cancer Chemotherapy Resistance Genes via Bioinformatics Approaches |
title_full_unstemmed | Identification of Immune-Related Breast Cancer Chemotherapy Resistance Genes via Bioinformatics Approaches |
title_short | Identification of Immune-Related Breast Cancer Chemotherapy Resistance Genes via Bioinformatics Approaches |
title_sort | identification of immune-related breast cancer chemotherapy resistance genes via bioinformatics approaches |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8978268/ https://www.ncbi.nlm.nih.gov/pubmed/35387129 http://dx.doi.org/10.3389/fonc.2022.772723 |
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