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Bioinformatics analysis of prognostic significance of COL10A1 in breast cancer
Background: Collagen type X alpha 1 (COL10A1) is overexpressed in diverse tumors and displays vital roles in tumorigenesis. However, the prognostic value of COL10A1 in breast cancer remains unclear. Methods: The expression of COL10A1 was analyzed by the Oncomine database and UALCAN cancer database....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Portland Press Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029149/ https://www.ncbi.nlm.nih.gov/pubmed/32043519 http://dx.doi.org/10.1042/BSR20193286 |
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author | Zhang, Mingdi Chen, Hongliang Wang, Maoli Bai, Fang Wu, Kejin |
author_facet | Zhang, Mingdi Chen, Hongliang Wang, Maoli Bai, Fang Wu, Kejin |
author_sort | Zhang, Mingdi |
collection | PubMed |
description | Background: Collagen type X alpha 1 (COL10A1) is overexpressed in diverse tumors and displays vital roles in tumorigenesis. However, the prognostic value of COL10A1 in breast cancer remains unclear. Methods: The expression of COL10A1 was analyzed by the Oncomine database and UALCAN cancer database. The relationship between COL10A1 expression level and clinical indicators including prognostic data in breast cancer were analyzed by the Kaplan–Meier Plotter, PrognoScan, and Breast Cancer Gene-Expression Miner (bc-GenExMiner) databases. Results: COL10A1 was up-regulated in different subtypes of breast cancer. Estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor-2 (HER-2) status and nodal status were positively correlated with COL10A1 expression. Conversely, age, the Scarff–Bloom–Richardson (SBR) grade, basal-like status, and triple-negative status were negatively related to COL10A1 level in breast cancer samples compared with normal tissues. Patients with increased COL10A1 expression level showed worse overall survival (OS), relapse-free survival (RFS), distant metastasis-free survival (DMFS) and disease-free survival (DFS). COL10A1 was positively correlated with metastatic relapse-free survival. GSEA analysis revealed that enrichment of TGF-β signaling pathway. 15-leucine-rich repeat containing membrane protein (LRRC15) is a correlated gene of COL10A1. Conclusion: Bioinformatics analysis revealed that COL10A1 might be considered as a predictive biomarker for prognosis of breast cancer. Further experiments and clinical trials are essential to elucidate the value of COL10A1 in breast cancer treatment. |
format | Online Article Text |
id | pubmed-7029149 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Portland Press Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70291492020-02-27 Bioinformatics analysis of prognostic significance of COL10A1 in breast cancer Zhang, Mingdi Chen, Hongliang Wang, Maoli Bai, Fang Wu, Kejin Biosci Rep Bioinformatics Background: Collagen type X alpha 1 (COL10A1) is overexpressed in diverse tumors and displays vital roles in tumorigenesis. However, the prognostic value of COL10A1 in breast cancer remains unclear. Methods: The expression of COL10A1 was analyzed by the Oncomine database and UALCAN cancer database. The relationship between COL10A1 expression level and clinical indicators including prognostic data in breast cancer were analyzed by the Kaplan–Meier Plotter, PrognoScan, and Breast Cancer Gene-Expression Miner (bc-GenExMiner) databases. Results: COL10A1 was up-regulated in different subtypes of breast cancer. Estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor-2 (HER-2) status and nodal status were positively correlated with COL10A1 expression. Conversely, age, the Scarff–Bloom–Richardson (SBR) grade, basal-like status, and triple-negative status were negatively related to COL10A1 level in breast cancer samples compared with normal tissues. Patients with increased COL10A1 expression level showed worse overall survival (OS), relapse-free survival (RFS), distant metastasis-free survival (DMFS) and disease-free survival (DFS). COL10A1 was positively correlated with metastatic relapse-free survival. GSEA analysis revealed that enrichment of TGF-β signaling pathway. 15-leucine-rich repeat containing membrane protein (LRRC15) is a correlated gene of COL10A1. Conclusion: Bioinformatics analysis revealed that COL10A1 might be considered as a predictive biomarker for prognosis of breast cancer. Further experiments and clinical trials are essential to elucidate the value of COL10A1 in breast cancer treatment. Portland Press Ltd. 2020-02-18 /pmc/articles/PMC7029149/ /pubmed/32043519 http://dx.doi.org/10.1042/BSR20193286 Text en © 2020 The Author(s). https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY). |
spellingShingle | Bioinformatics Zhang, Mingdi Chen, Hongliang Wang, Maoli Bai, Fang Wu, Kejin Bioinformatics analysis of prognostic significance of COL10A1 in breast cancer |
title | Bioinformatics analysis of prognostic significance of COL10A1 in breast cancer |
title_full | Bioinformatics analysis of prognostic significance of COL10A1 in breast cancer |
title_fullStr | Bioinformatics analysis of prognostic significance of COL10A1 in breast cancer |
title_full_unstemmed | Bioinformatics analysis of prognostic significance of COL10A1 in breast cancer |
title_short | Bioinformatics analysis of prognostic significance of COL10A1 in breast cancer |
title_sort | bioinformatics analysis of prognostic significance of col10a1 in breast cancer |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029149/ https://www.ncbi.nlm.nih.gov/pubmed/32043519 http://dx.doi.org/10.1042/BSR20193286 |
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