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Bioinformatics analysis of the clinical significance of HLA class II in breast cancer
Human leukocyte antigen (HLA) class II plays critical roles in antigen presentation and the initiation of immune responses. However, the correlation between the HLA class II gene expression level and the survival of patients with breast cancer is still under investigation. We analyzed microarray and...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9543021/ https://www.ncbi.nlm.nih.gov/pubmed/36221383 http://dx.doi.org/10.1097/MD.0000000000031071 |
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author | Wu, Guihua Xiao, Gaofang Yan, Yuhang Guo, Chengwei Hu, Ningdong Shen, Sandi |
author_facet | Wu, Guihua Xiao, Gaofang Yan, Yuhang Guo, Chengwei Hu, Ningdong Shen, Sandi |
author_sort | Wu, Guihua |
collection | PubMed |
description | Human leukocyte antigen (HLA) class II plays critical roles in antigen presentation and the initiation of immune responses. However, the correlation between the HLA class II gene expression level and the survival of patients with breast cancer is still under investigation. We analyzed microarray and RNA-Seq data of breast cancer from the cancer genome atlas (TCGA), genotype-tissue expression (GTEx) and Oncomine databases by using bioinformatics tools. The expression of the HLA-DQA1, HLA-DQA2, and HLA-DQB2 genes was significantly upregulated in breast cancer. Higher expression levels of HLA class II genes in breast cancer, especially HLA-DOB and HLA-DQB2, were significantly associated with better overall survival. Furthermore, the expression of HLA class II genes was more closely associated with survival in breast cancer than in other cancer types. CD48 coexpressed with both HLA-DOB and HLA-DQB2 was also positively associated with the overall survival of breast cancer patients. The results indicated that HLA class II and CD48 may enhance antitumor immunity, and their expression patterns may serve as potential prognostic biomarkers and therapeutic targets in breast cancer. |
format | Online Article Text |
id | pubmed-9543021 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-95430212022-10-11 Bioinformatics analysis of the clinical significance of HLA class II in breast cancer Wu, Guihua Xiao, Gaofang Yan, Yuhang Guo, Chengwei Hu, Ningdong Shen, Sandi Medicine (Baltimore) Research Article Human leukocyte antigen (HLA) class II plays critical roles in antigen presentation and the initiation of immune responses. However, the correlation between the HLA class II gene expression level and the survival of patients with breast cancer is still under investigation. We analyzed microarray and RNA-Seq data of breast cancer from the cancer genome atlas (TCGA), genotype-tissue expression (GTEx) and Oncomine databases by using bioinformatics tools. The expression of the HLA-DQA1, HLA-DQA2, and HLA-DQB2 genes was significantly upregulated in breast cancer. Higher expression levels of HLA class II genes in breast cancer, especially HLA-DOB and HLA-DQB2, were significantly associated with better overall survival. Furthermore, the expression of HLA class II genes was more closely associated with survival in breast cancer than in other cancer types. CD48 coexpressed with both HLA-DOB and HLA-DQB2 was also positively associated with the overall survival of breast cancer patients. The results indicated that HLA class II and CD48 may enhance antitumor immunity, and their expression patterns may serve as potential prognostic biomarkers and therapeutic targets in breast cancer. Lippincott Williams & Wilkins 2022-10-07 /pmc/articles/PMC9543021/ /pubmed/36221383 http://dx.doi.org/10.1097/MD.0000000000031071 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. |
spellingShingle | Research Article Wu, Guihua Xiao, Gaofang Yan, Yuhang Guo, Chengwei Hu, Ningdong Shen, Sandi Bioinformatics analysis of the clinical significance of HLA class II in breast cancer |
title | Bioinformatics analysis of the clinical significance of HLA class II in breast cancer |
title_full | Bioinformatics analysis of the clinical significance of HLA class II in breast cancer |
title_fullStr | Bioinformatics analysis of the clinical significance of HLA class II in breast cancer |
title_full_unstemmed | Bioinformatics analysis of the clinical significance of HLA class II in breast cancer |
title_short | Bioinformatics analysis of the clinical significance of HLA class II in breast cancer |
title_sort | bioinformatics analysis of the clinical significance of hla class ii in breast cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9543021/ https://www.ncbi.nlm.nih.gov/pubmed/36221383 http://dx.doi.org/10.1097/MD.0000000000031071 |
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