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Distinctive gene expression patterns in pregnancy-associated breast cancer

Pregnancy-associated breast cancer (PABC) is diagnosed during pregnancy or within 1 year postpartum, but the unique aspects of its etiology and pathogenesis have not been fully elucidated. This study aimed to ascertain the molecular mechanisms of PABC to facilitate diagnosis and therapeutic developm...

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Autores principales: Wang, Dan, Peng, Huiyu, Hu, Yuyao, Piao, Xue, Gao, Dianshuai, Sha, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399642/
https://www.ncbi.nlm.nih.gov/pubmed/36035177
http://dx.doi.org/10.3389/fgene.2022.850195
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author Wang, Dan
Peng, Huiyu
Hu, Yuyao
Piao, Xue
Gao, Dianshuai
Sha, Yan
author_facet Wang, Dan
Peng, Huiyu
Hu, Yuyao
Piao, Xue
Gao, Dianshuai
Sha, Yan
author_sort Wang, Dan
collection PubMed
description Pregnancy-associated breast cancer (PABC) is diagnosed during pregnancy or within 1 year postpartum, but the unique aspects of its etiology and pathogenesis have not been fully elucidated. This study aimed to ascertain the molecular mechanisms of PABC to facilitate diagnosis and therapeutic development. The Limma package was used to characterize the differentially expressed genes in PABC as compared to non-pregnancy-associated breast cancer (NPABC) and normal breast tissue. A total of 871 dysregulated genes were identified in the PABC versus NPABC groups and 917 in the PABC versus normal groups, with notable differences in the expression of MAGE and CXCL family genes. The dysregulated genes between the PABC and normal groups were mainly associated with signal transduction and immune response, while Kyoto Encyclopedia of Genes and Genomes analysis revealed that the dysregulated genes were enriched in immune-related pathways, including the major histocompatibility complex (MHC) class II protein complex, the type I interferon signaling pathway, regulation of α-β T-cell proliferation, and the T-cell apoptotic process. Through protein-protein interaction network construction, CD44 and BRCA1 were identified as prominent hub genes with differential expression in PABC versus NPABC. Furthermore, a cluster with eleven hub genes was identified in PABC versus normal adjacent tissues, of which the expression of EGFR, IGF1, PTGS2, FGF1, CAV1, and PLCB1 were verified to be differentially expressed in an independent cohort of PABC patients. Notably, IGF1, PTGS2, and FGF1 were demonstrated to be significantly related to patient prognosis. Our study reveals a distinctive gene expression pattern in PABC and suggests that IGF1, PTGS2, and FGF1 might serve as biomarkers for diagnosis and prognosis of PABC.
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spelling pubmed-93996422022-08-25 Distinctive gene expression patterns in pregnancy-associated breast cancer Wang, Dan Peng, Huiyu Hu, Yuyao Piao, Xue Gao, Dianshuai Sha, Yan Front Genet Genetics Pregnancy-associated breast cancer (PABC) is diagnosed during pregnancy or within 1 year postpartum, but the unique aspects of its etiology and pathogenesis have not been fully elucidated. This study aimed to ascertain the molecular mechanisms of PABC to facilitate diagnosis and therapeutic development. The Limma package was used to characterize the differentially expressed genes in PABC as compared to non-pregnancy-associated breast cancer (NPABC) and normal breast tissue. A total of 871 dysregulated genes were identified in the PABC versus NPABC groups and 917 in the PABC versus normal groups, with notable differences in the expression of MAGE and CXCL family genes. The dysregulated genes between the PABC and normal groups were mainly associated with signal transduction and immune response, while Kyoto Encyclopedia of Genes and Genomes analysis revealed that the dysregulated genes were enriched in immune-related pathways, including the major histocompatibility complex (MHC) class II protein complex, the type I interferon signaling pathway, regulation of α-β T-cell proliferation, and the T-cell apoptotic process. Through protein-protein interaction network construction, CD44 and BRCA1 were identified as prominent hub genes with differential expression in PABC versus NPABC. Furthermore, a cluster with eleven hub genes was identified in PABC versus normal adjacent tissues, of which the expression of EGFR, IGF1, PTGS2, FGF1, CAV1, and PLCB1 were verified to be differentially expressed in an independent cohort of PABC patients. Notably, IGF1, PTGS2, and FGF1 were demonstrated to be significantly related to patient prognosis. Our study reveals a distinctive gene expression pattern in PABC and suggests that IGF1, PTGS2, and FGF1 might serve as biomarkers for diagnosis and prognosis of PABC. Frontiers Media S.A. 2022-08-10 /pmc/articles/PMC9399642/ /pubmed/36035177 http://dx.doi.org/10.3389/fgene.2022.850195 Text en Copyright © 2022 Wang, Peng, Hu, Piao, Gao and Sha. 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 Genetics
Wang, Dan
Peng, Huiyu
Hu, Yuyao
Piao, Xue
Gao, Dianshuai
Sha, Yan
Distinctive gene expression patterns in pregnancy-associated breast cancer
title Distinctive gene expression patterns in pregnancy-associated breast cancer
title_full Distinctive gene expression patterns in pregnancy-associated breast cancer
title_fullStr Distinctive gene expression patterns in pregnancy-associated breast cancer
title_full_unstemmed Distinctive gene expression patterns in pregnancy-associated breast cancer
title_short Distinctive gene expression patterns in pregnancy-associated breast cancer
title_sort distinctive gene expression patterns in pregnancy-associated breast cancer
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399642/
https://www.ncbi.nlm.nih.gov/pubmed/36035177
http://dx.doi.org/10.3389/fgene.2022.850195
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