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Can Molecular Biomarkers Help Reduce the Overtreatment of DCIS?

Ductal carcinoma in situ (DCIS), especially in the era of mammographic screening, is a commonly diagnosed breast tumor. Despite the low breast cancer mortality risk, management with breast conserving surgery (BCS) and radiotherapy (RT) is the prevailing treatment approach in order to reduce the risk...

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Autores principales: Hahn, Ezra, Rodin, Danielle, Sutradhar, Rinku, Nofech-Mozes, Sharon, Trebinjac, Sabina, Paszat, Lawrence Frank, Rakovitch, Eileen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297044/
https://www.ncbi.nlm.nih.gov/pubmed/37366916
http://dx.doi.org/10.3390/curroncol30060433
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author Hahn, Ezra
Rodin, Danielle
Sutradhar, Rinku
Nofech-Mozes, Sharon
Trebinjac, Sabina
Paszat, Lawrence Frank
Rakovitch, Eileen
author_facet Hahn, Ezra
Rodin, Danielle
Sutradhar, Rinku
Nofech-Mozes, Sharon
Trebinjac, Sabina
Paszat, Lawrence Frank
Rakovitch, Eileen
author_sort Hahn, Ezra
collection PubMed
description Ductal carcinoma in situ (DCIS), especially in the era of mammographic screening, is a commonly diagnosed breast tumor. Despite the low breast cancer mortality risk, management with breast conserving surgery (BCS) and radiotherapy (RT) is the prevailing treatment approach in order to reduce the risk of local recurrence (LR), including invasive LR, which carries a subsequent risk of breast cancer mortality. However, reliable and accurate individual risk prediction remains elusive and RT continues to be standardly recommended for most women with DCIS. Three molecular biomarkers have been studied to better estimate LR risk after BCS—Oncotype DX DCIS score, DCISionRT Decision Score and its associated Residual Risk subtypes, and Oncotype 21-gene Recurrence Score. All these molecular biomarkers represent important efforts towards improving predicted risk of LR after BCS. To prove clinical utility, these biomarkers require careful predictive modeling with calibration and external validation, and evidence of benefit to patients; on this front, further research is needed. Most trials do not incorporate molecular biomarkers in evaluating de-escalation of therapy for DCIS; however, one—the Prospective Evaluation of Breast-Conserving Surgery Alone in Low-Risk DCIS (ELISA) trial—incorporates the Oncotype DX DCIS score in defining a low-risk population and is an important next step in this line of research.
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spelling pubmed-102970442023-06-28 Can Molecular Biomarkers Help Reduce the Overtreatment of DCIS? Hahn, Ezra Rodin, Danielle Sutradhar, Rinku Nofech-Mozes, Sharon Trebinjac, Sabina Paszat, Lawrence Frank Rakovitch, Eileen Curr Oncol Review Ductal carcinoma in situ (DCIS), especially in the era of mammographic screening, is a commonly diagnosed breast tumor. Despite the low breast cancer mortality risk, management with breast conserving surgery (BCS) and radiotherapy (RT) is the prevailing treatment approach in order to reduce the risk of local recurrence (LR), including invasive LR, which carries a subsequent risk of breast cancer mortality. However, reliable and accurate individual risk prediction remains elusive and RT continues to be standardly recommended for most women with DCIS. Three molecular biomarkers have been studied to better estimate LR risk after BCS—Oncotype DX DCIS score, DCISionRT Decision Score and its associated Residual Risk subtypes, and Oncotype 21-gene Recurrence Score. All these molecular biomarkers represent important efforts towards improving predicted risk of LR after BCS. To prove clinical utility, these biomarkers require careful predictive modeling with calibration and external validation, and evidence of benefit to patients; on this front, further research is needed. Most trials do not incorporate molecular biomarkers in evaluating de-escalation of therapy for DCIS; however, one—the Prospective Evaluation of Breast-Conserving Surgery Alone in Low-Risk DCIS (ELISA) trial—incorporates the Oncotype DX DCIS score in defining a low-risk population and is an important next step in this line of research. MDPI 2023-06-13 /pmc/articles/PMC10297044/ /pubmed/37366916 http://dx.doi.org/10.3390/curroncol30060433 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Hahn, Ezra
Rodin, Danielle
Sutradhar, Rinku
Nofech-Mozes, Sharon
Trebinjac, Sabina
Paszat, Lawrence Frank
Rakovitch, Eileen
Can Molecular Biomarkers Help Reduce the Overtreatment of DCIS?
title Can Molecular Biomarkers Help Reduce the Overtreatment of DCIS?
title_full Can Molecular Biomarkers Help Reduce the Overtreatment of DCIS?
title_fullStr Can Molecular Biomarkers Help Reduce the Overtreatment of DCIS?
title_full_unstemmed Can Molecular Biomarkers Help Reduce the Overtreatment of DCIS?
title_short Can Molecular Biomarkers Help Reduce the Overtreatment of DCIS?
title_sort can molecular biomarkers help reduce the overtreatment of dcis?
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297044/
https://www.ncbi.nlm.nih.gov/pubmed/37366916
http://dx.doi.org/10.3390/curroncol30060433
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