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Combining bioinformatics analysis and experiments to explore CARNS1 as a prognostic biomarker for breast cancer
BACKGROUND: Breast cancer is a heterogeneous malignant disease, which has variation in clinical behaviors. High‐throughput technologies have added important genetic alternative and biological change information for breast cancer. CARNS1 is an important ATPases. It can catalyze the synthesis of carno...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8077083/ https://www.ncbi.nlm.nih.gov/pubmed/33533160 http://dx.doi.org/10.1002/mgg3.1586 |
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author | Zhang, Li Zhang, Yan Zhang, Xin Li, Xinyu He, Miao Qiao, Shixing |
author_facet | Zhang, Li Zhang, Yan Zhang, Xin Li, Xinyu He, Miao Qiao, Shixing |
author_sort | Zhang, Li |
collection | PubMed |
description | BACKGROUND: Breast cancer is a heterogeneous malignant disease, which has variation in clinical behaviors. High‐throughput technologies have added important genetic alternative and biological change information for breast cancer. CARNS1 is an important ATPases. It can catalyze the synthesis of carnosine, which has antiproliferative activity in cancer. Here, we hypothesize that CARNS1 plays an essential role in the development of breast cancer. METHODS: The expressions of CARNS1 in breast cancer were data‐mined and analyzed from TCGA (the Cancer Genome Atlas) and GEO (the Gene Expression Omnibus) databases. The correlation of CARNS1 expression with clinical characteristics and the diagnostic capability of CARNS1 were assessed. Experimental studies were conducted in two cohorts (n = 60) of breast cancer patients by qRT‐PCR and immunohistochemical analysis. RESULTS: CARNS1 was significantly downregulated in breast cancer. The expression was correlated with tumor molecular and histological types, T and M stages, and vital status. Kaplan–Meier survival analysis showed that the downregulation of CARNS1 was significantly related to poor overall survival and relapse‐free survival. Moreover, these scenarios have been extended to ER, PR, and HER2 positive patients. Univariate and multivariate analysis showed that CARNS1 can be considered as an independent prognostic predictor for patients with breast cancer. Experimental data supported that the protein and mRNA levels of CARNS1 in breast cancer are indeed significantly downregulated. CONCLUSION: Our findings have demonstrated that CARNS1 acts as a tumor suppressor gene and may be an independent prognostic indicator for breast cancer patients. |
format | Online Article Text |
id | pubmed-8077083 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80770832021-04-29 Combining bioinformatics analysis and experiments to explore CARNS1 as a prognostic biomarker for breast cancer Zhang, Li Zhang, Yan Zhang, Xin Li, Xinyu He, Miao Qiao, Shixing Mol Genet Genomic Med Original Articles BACKGROUND: Breast cancer is a heterogeneous malignant disease, which has variation in clinical behaviors. High‐throughput technologies have added important genetic alternative and biological change information for breast cancer. CARNS1 is an important ATPases. It can catalyze the synthesis of carnosine, which has antiproliferative activity in cancer. Here, we hypothesize that CARNS1 plays an essential role in the development of breast cancer. METHODS: The expressions of CARNS1 in breast cancer were data‐mined and analyzed from TCGA (the Cancer Genome Atlas) and GEO (the Gene Expression Omnibus) databases. The correlation of CARNS1 expression with clinical characteristics and the diagnostic capability of CARNS1 were assessed. Experimental studies were conducted in two cohorts (n = 60) of breast cancer patients by qRT‐PCR and immunohistochemical analysis. RESULTS: CARNS1 was significantly downregulated in breast cancer. The expression was correlated with tumor molecular and histological types, T and M stages, and vital status. Kaplan–Meier survival analysis showed that the downregulation of CARNS1 was significantly related to poor overall survival and relapse‐free survival. Moreover, these scenarios have been extended to ER, PR, and HER2 positive patients. Univariate and multivariate analysis showed that CARNS1 can be considered as an independent prognostic predictor for patients with breast cancer. Experimental data supported that the protein and mRNA levels of CARNS1 in breast cancer are indeed significantly downregulated. CONCLUSION: Our findings have demonstrated that CARNS1 acts as a tumor suppressor gene and may be an independent prognostic indicator for breast cancer patients. John Wiley and Sons Inc. 2021-02-03 /pmc/articles/PMC8077083/ /pubmed/33533160 http://dx.doi.org/10.1002/mgg3.1586 Text en © 2021 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals LLC https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Articles Zhang, Li Zhang, Yan Zhang, Xin Li, Xinyu He, Miao Qiao, Shixing Combining bioinformatics analysis and experiments to explore CARNS1 as a prognostic biomarker for breast cancer |
title | Combining bioinformatics analysis and experiments to explore CARNS1 as a prognostic biomarker for breast cancer |
title_full | Combining bioinformatics analysis and experiments to explore CARNS1 as a prognostic biomarker for breast cancer |
title_fullStr | Combining bioinformatics analysis and experiments to explore CARNS1 as a prognostic biomarker for breast cancer |
title_full_unstemmed | Combining bioinformatics analysis and experiments to explore CARNS1 as a prognostic biomarker for breast cancer |
title_short | Combining bioinformatics analysis and experiments to explore CARNS1 as a prognostic biomarker for breast cancer |
title_sort | combining bioinformatics analysis and experiments to explore carns1 as a prognostic biomarker for breast cancer |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8077083/ https://www.ncbi.nlm.nih.gov/pubmed/33533160 http://dx.doi.org/10.1002/mgg3.1586 |
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