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Unmet Clinical Need: Developing Prognostic Biomarkers and Precision Medicine to Forecast Early Tumor Relapse, Detect Chemo-Resistance and Improve Overall Survival in High-Risk Breast Cancer

Chemo-resistant breast cancer is a major barrier to curative treatment for a significant number of women with breast cancer. Neoadjuvant chemotherapy (NACT) is standard first- line treatment for most women diagnosed with high-risk TNBC, HER2+, and locally advanced ER+ breast cancer. Current clinical...

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Autores principales: Gupta, Gagan, Lee, Caroline Dasom, Guye, Mary L, Van Sciver, Robert E, Lee, Michael P, Lafever, Alex C, Pang, Anthony, Tang-Tan, Angela M, Winston, Janet S, Samli, Billur, Jansen, Rick J, Hoefer, Richard A, Tang, Amy H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7295150/
https://www.ncbi.nlm.nih.gov/pubmed/32542231
http://dx.doi.org/10.36959/739/525
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author Gupta, Gagan
Lee, Caroline Dasom
Guye, Mary L
Van Sciver, Robert E
Lee, Michael P
Lafever, Alex C
Pang, Anthony
Tang-Tan, Angela M
Winston, Janet S
Samli, Billur
Jansen, Rick J
Hoefer, Richard A
Tang, Amy H
author_facet Gupta, Gagan
Lee, Caroline Dasom
Guye, Mary L
Van Sciver, Robert E
Lee, Michael P
Lafever, Alex C
Pang, Anthony
Tang-Tan, Angela M
Winston, Janet S
Samli, Billur
Jansen, Rick J
Hoefer, Richard A
Tang, Amy H
author_sort Gupta, Gagan
collection PubMed
description Chemo-resistant breast cancer is a major barrier to curative treatment for a significant number of women with breast cancer. Neoadjuvant chemotherapy (NACT) is standard first- line treatment for most women diagnosed with high-risk TNBC, HER2+, and locally advanced ER+ breast cancer. Current clinical prognostic tools evaluate four clinicopathological factors: Tumor size, LN status, pathological stage, and tumor molecular subtype. However, many similarly treated patients with identical residual cancer burden (RCB) following NACT experience distinctly different tumor relapse rates, clinical outcomes and survival. This problem is particularly apparent for incomplete responders with a high-risk RCB classification following NACT. Therefore, there is a pressing need to identify new prognostic and predictive biomarkers, and develop novel curative therapies to augment current standard of care (SOC) treatment regimens to save more lives. Here, we will discuss these unmet needs and clinical challenges that stand in the way of precision medicine and personalized cancer therapy.
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spelling pubmed-72951502020-06-15 Unmet Clinical Need: Developing Prognostic Biomarkers and Precision Medicine to Forecast Early Tumor Relapse, Detect Chemo-Resistance and Improve Overall Survival in High-Risk Breast Cancer Gupta, Gagan Lee, Caroline Dasom Guye, Mary L Van Sciver, Robert E Lee, Michael P Lafever, Alex C Pang, Anthony Tang-Tan, Angela M Winston, Janet S Samli, Billur Jansen, Rick J Hoefer, Richard A Tang, Amy H Ann Breast Cancer Ther Article Chemo-resistant breast cancer is a major barrier to curative treatment for a significant number of women with breast cancer. Neoadjuvant chemotherapy (NACT) is standard first- line treatment for most women diagnosed with high-risk TNBC, HER2+, and locally advanced ER+ breast cancer. Current clinical prognostic tools evaluate four clinicopathological factors: Tumor size, LN status, pathological stage, and tumor molecular subtype. However, many similarly treated patients with identical residual cancer burden (RCB) following NACT experience distinctly different tumor relapse rates, clinical outcomes and survival. This problem is particularly apparent for incomplete responders with a high-risk RCB classification following NACT. Therefore, there is a pressing need to identify new prognostic and predictive biomarkers, and develop novel curative therapies to augment current standard of care (SOC) treatment regimens to save more lives. Here, we will discuss these unmet needs and clinical challenges that stand in the way of precision medicine and personalized cancer therapy. 2020-05-02 2020-05-02 /pmc/articles/PMC7295150/ /pubmed/32542231 http://dx.doi.org/10.36959/739/525 Text en http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Article
Gupta, Gagan
Lee, Caroline Dasom
Guye, Mary L
Van Sciver, Robert E
Lee, Michael P
Lafever, Alex C
Pang, Anthony
Tang-Tan, Angela M
Winston, Janet S
Samli, Billur
Jansen, Rick J
Hoefer, Richard A
Tang, Amy H
Unmet Clinical Need: Developing Prognostic Biomarkers and Precision Medicine to Forecast Early Tumor Relapse, Detect Chemo-Resistance and Improve Overall Survival in High-Risk Breast Cancer
title Unmet Clinical Need: Developing Prognostic Biomarkers and Precision Medicine to Forecast Early Tumor Relapse, Detect Chemo-Resistance and Improve Overall Survival in High-Risk Breast Cancer
title_full Unmet Clinical Need: Developing Prognostic Biomarkers and Precision Medicine to Forecast Early Tumor Relapse, Detect Chemo-Resistance and Improve Overall Survival in High-Risk Breast Cancer
title_fullStr Unmet Clinical Need: Developing Prognostic Biomarkers and Precision Medicine to Forecast Early Tumor Relapse, Detect Chemo-Resistance and Improve Overall Survival in High-Risk Breast Cancer
title_full_unstemmed Unmet Clinical Need: Developing Prognostic Biomarkers and Precision Medicine to Forecast Early Tumor Relapse, Detect Chemo-Resistance and Improve Overall Survival in High-Risk Breast Cancer
title_short Unmet Clinical Need: Developing Prognostic Biomarkers and Precision Medicine to Forecast Early Tumor Relapse, Detect Chemo-Resistance and Improve Overall Survival in High-Risk Breast Cancer
title_sort unmet clinical need: developing prognostic biomarkers and precision medicine to forecast early tumor relapse, detect chemo-resistance and improve overall survival in high-risk breast cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7295150/
https://www.ncbi.nlm.nih.gov/pubmed/32542231
http://dx.doi.org/10.36959/739/525
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