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...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-08-01
|
| Series: | Frontiers in Genetics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.850195/full |
| _version_ | 1811322605270990848 |
|---|---|
| author | Dan Wang Huiyu Peng Yuyao Hu Xue Piao Dianshuai Gao Yan Sha |
| author_facet | Dan Wang Huiyu Peng Yuyao Hu Xue Piao Dianshuai Gao Yan Sha |
| author_sort | Dan Wang |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-13T13:39:20Z |
| format | Article |
| id | doaj.art-7385ae5dcc1143faa969c71c0c52605e |
| institution | Directory Open Access Journal |
| issn | 1664-8021 |
| language | English |
| last_indexed | 2024-04-13T13:39:20Z |
| publishDate | 2022-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Genetics |
| spelling | doaj.art-7385ae5dcc1143faa969c71c0c52605e2022-12-22T02:44:42ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-08-011310.3389/fgene.2022.850195850195Distinctive gene expression patterns in pregnancy-associated breast cancerDan Wang0Huiyu Peng1Yuyao Hu2Xue Piao3Dianshuai Gao4Yan Sha5School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, ChinaThe Key Laboratory of BioMedical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Suzhou, ChinaSchool of Life Science, Xuzhou Medical University, Xuzhou, ChinaSchool of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, ChinaResearch Center for Neurobiology of Xuzhou Medical University, Xuzhou, ChinaSchool of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, ChinaPregnancy-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.https://www.frontiersin.org/articles/10.3389/fgene.2022.850195/fullbreast cancerexpression profilingimmunepregnancyGEO |
| spellingShingle | Dan Wang Huiyu Peng Yuyao Hu Xue Piao Dianshuai Gao Yan Sha Distinctive gene expression patterns in pregnancy-associated breast cancer Frontiers in Genetics breast cancer expression profiling immune pregnancy GEO |
| 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 | breast cancer expression profiling immune pregnancy GEO |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2022.850195/full |
| work_keys_str_mv | AT danwang distinctivegeneexpressionpatternsinpregnancyassociatedbreastcancer AT huiyupeng distinctivegeneexpressionpatternsinpregnancyassociatedbreastcancer AT yuyaohu distinctivegeneexpressionpatternsinpregnancyassociatedbreastcancer AT xuepiao distinctivegeneexpressionpatternsinpregnancyassociatedbreastcancer AT dianshuaigao distinctivegeneexpressionpatternsinpregnancyassociatedbreastcancer AT yansha distinctivegeneexpressionpatternsinpregnancyassociatedbreastcancer |