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Oncogene-mediated metabolic gene signature predicts breast cancer outcome
Breast cancer remains the second most lethal cancer among women in the United States and triple-negative breast cancer is the most aggressive subtype with limited treatment options. Trop2, a cell membrane glycoprotein, is overexpressed in almost all epithelial cancers. In this study, we demonstrate...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8553750/ https://www.ncbi.nlm.nih.gov/pubmed/34711841 http://dx.doi.org/10.1038/s41523-021-00341-6 |
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author | Aslan, Merve Hsu, En-Chi Garcia-Marques, Fernando J. Bermudez, Abel Liu, Shiqin Shen, Michelle West, Meredith Zhang, Chiyuan Amy Rice, Meghan A. Brooks, James D. West, Robert Pitteri, Sharon J. Győrffy, Balázs Stoyanova, Tanya |
author_facet | Aslan, Merve Hsu, En-Chi Garcia-Marques, Fernando J. Bermudez, Abel Liu, Shiqin Shen, Michelle West, Meredith Zhang, Chiyuan Amy Rice, Meghan A. Brooks, James D. West, Robert Pitteri, Sharon J. Győrffy, Balázs Stoyanova, Tanya |
author_sort | Aslan, Merve |
collection | PubMed |
description | Breast cancer remains the second most lethal cancer among women in the United States and triple-negative breast cancer is the most aggressive subtype with limited treatment options. Trop2, a cell membrane glycoprotein, is overexpressed in almost all epithelial cancers. In this study, we demonstrate that Trop2 is overexpressed in triple-negative breast cancer (TNBC), and downregulation of Trop2 delays TNBC cell and tumor growth supporting the oncogenic role of Trop2 in breast cancer. Through proteomic profiling, we discovered a metabolic signature comprised of TALDO1, GPI, LDHA, SHMT2, and ADK proteins that were downregulated in Trop2-depleted breast cancer tumors. The identified oncogene-mediated metabolic gene signature is significantly upregulated in TNBC patients across multiple RNA-expression clinical datasets. Our study further reveals that the metabolic gene signature reliably predicts poor survival of breast cancer patients with early stages of the disease. Taken together, our study identified a new five-gene metabolic signature as an accurate predictor of breast cancer outcome. |
format | Online Article Text |
id | pubmed-8553750 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85537502021-10-29 Oncogene-mediated metabolic gene signature predicts breast cancer outcome Aslan, Merve Hsu, En-Chi Garcia-Marques, Fernando J. Bermudez, Abel Liu, Shiqin Shen, Michelle West, Meredith Zhang, Chiyuan Amy Rice, Meghan A. Brooks, James D. West, Robert Pitteri, Sharon J. Győrffy, Balázs Stoyanova, Tanya NPJ Breast Cancer Article Breast cancer remains the second most lethal cancer among women in the United States and triple-negative breast cancer is the most aggressive subtype with limited treatment options. Trop2, a cell membrane glycoprotein, is overexpressed in almost all epithelial cancers. In this study, we demonstrate that Trop2 is overexpressed in triple-negative breast cancer (TNBC), and downregulation of Trop2 delays TNBC cell and tumor growth supporting the oncogenic role of Trop2 in breast cancer. Through proteomic profiling, we discovered a metabolic signature comprised of TALDO1, GPI, LDHA, SHMT2, and ADK proteins that were downregulated in Trop2-depleted breast cancer tumors. The identified oncogene-mediated metabolic gene signature is significantly upregulated in TNBC patients across multiple RNA-expression clinical datasets. Our study further reveals that the metabolic gene signature reliably predicts poor survival of breast cancer patients with early stages of the disease. Taken together, our study identified a new five-gene metabolic signature as an accurate predictor of breast cancer outcome. Nature Publishing Group UK 2021-10-28 /pmc/articles/PMC8553750/ /pubmed/34711841 http://dx.doi.org/10.1038/s41523-021-00341-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Aslan, Merve Hsu, En-Chi Garcia-Marques, Fernando J. Bermudez, Abel Liu, Shiqin Shen, Michelle West, Meredith Zhang, Chiyuan Amy Rice, Meghan A. Brooks, James D. West, Robert Pitteri, Sharon J. Győrffy, Balázs Stoyanova, Tanya Oncogene-mediated metabolic gene signature predicts breast cancer outcome |
title | Oncogene-mediated metabolic gene signature predicts breast cancer outcome |
title_full | Oncogene-mediated metabolic gene signature predicts breast cancer outcome |
title_fullStr | Oncogene-mediated metabolic gene signature predicts breast cancer outcome |
title_full_unstemmed | Oncogene-mediated metabolic gene signature predicts breast cancer outcome |
title_short | Oncogene-mediated metabolic gene signature predicts breast cancer outcome |
title_sort | oncogene-mediated metabolic gene signature predicts breast cancer outcome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8553750/ https://www.ncbi.nlm.nih.gov/pubmed/34711841 http://dx.doi.org/10.1038/s41523-021-00341-6 |
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