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Personalized Medicine—Current and Emerging Predictive and Prognostic Biomarkers in Colorectal Cancer

Colorectal cancer (CRC) is the third most common cancer diagnosed worldwide and is heterogeneous both morphologically and molecularly. In an era of personalized medicine, the greatest challenge is to predict individual response to therapy and distinguish patients likely to be cured with surgical res...

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Autores principales: Koulis, Christine, Yap, Raymond, Engel, Rebekah, Jardé, Thierry, Wilkins, Simon, Solon, Gemma, Shapiro, Jeremy D., Abud, Helen, McMurrick, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7225926/
https://www.ncbi.nlm.nih.gov/pubmed/32231042
http://dx.doi.org/10.3390/cancers12040812
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author Koulis, Christine
Yap, Raymond
Engel, Rebekah
Jardé, Thierry
Wilkins, Simon
Solon, Gemma
Shapiro, Jeremy D.
Abud, Helen
McMurrick, Paul
author_facet Koulis, Christine
Yap, Raymond
Engel, Rebekah
Jardé, Thierry
Wilkins, Simon
Solon, Gemma
Shapiro, Jeremy D.
Abud, Helen
McMurrick, Paul
author_sort Koulis, Christine
collection PubMed
description Colorectal cancer (CRC) is the third most common cancer diagnosed worldwide and is heterogeneous both morphologically and molecularly. In an era of personalized medicine, the greatest challenge is to predict individual response to therapy and distinguish patients likely to be cured with surgical resection of tumors and systemic therapy from those resistant or non-responsive to treatment. Patients would avoid futile treatments, including clinical trial regimes and ultimately this would prevent under- and over-treatment and reduce unnecessary adverse side effects. In this review, the potential of specific biomarkers will be explored to address two key questions—1) Can the prognosis of patients that will fare well or poorly be determined beyond currently recognized prognostic indicators? and 2) Can an individual patient’s response to therapy be predicted and those who will most likely benefit from treatment/s be identified? Identifying and validating key prognostic and predictive biomarkers and an understanding of the underlying mechanisms of drug resistance and toxicity in CRC are important steps in order to personalize treatment. This review addresses recent data on biological prognostic and predictive biomarkers in CRC. In addition, patient cohorts most likely to benefit from currently available systemic treatments and/or targeted therapies are discussed in this review.
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spelling pubmed-72259262020-05-18 Personalized Medicine—Current and Emerging Predictive and Prognostic Biomarkers in Colorectal Cancer Koulis, Christine Yap, Raymond Engel, Rebekah Jardé, Thierry Wilkins, Simon Solon, Gemma Shapiro, Jeremy D. Abud, Helen McMurrick, Paul Cancers (Basel) Review Colorectal cancer (CRC) is the third most common cancer diagnosed worldwide and is heterogeneous both morphologically and molecularly. In an era of personalized medicine, the greatest challenge is to predict individual response to therapy and distinguish patients likely to be cured with surgical resection of tumors and systemic therapy from those resistant or non-responsive to treatment. Patients would avoid futile treatments, including clinical trial regimes and ultimately this would prevent under- and over-treatment and reduce unnecessary adverse side effects. In this review, the potential of specific biomarkers will be explored to address two key questions—1) Can the prognosis of patients that will fare well or poorly be determined beyond currently recognized prognostic indicators? and 2) Can an individual patient’s response to therapy be predicted and those who will most likely benefit from treatment/s be identified? Identifying and validating key prognostic and predictive biomarkers and an understanding of the underlying mechanisms of drug resistance and toxicity in CRC are important steps in order to personalize treatment. This review addresses recent data on biological prognostic and predictive biomarkers in CRC. In addition, patient cohorts most likely to benefit from currently available systemic treatments and/or targeted therapies are discussed in this review. MDPI 2020-03-28 /pmc/articles/PMC7225926/ /pubmed/32231042 http://dx.doi.org/10.3390/cancers12040812 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Koulis, Christine
Yap, Raymond
Engel, Rebekah
Jardé, Thierry
Wilkins, Simon
Solon, Gemma
Shapiro, Jeremy D.
Abud, Helen
McMurrick, Paul
Personalized Medicine—Current and Emerging Predictive and Prognostic Biomarkers in Colorectal Cancer
title Personalized Medicine—Current and Emerging Predictive and Prognostic Biomarkers in Colorectal Cancer
title_full Personalized Medicine—Current and Emerging Predictive and Prognostic Biomarkers in Colorectal Cancer
title_fullStr Personalized Medicine—Current and Emerging Predictive and Prognostic Biomarkers in Colorectal Cancer
title_full_unstemmed Personalized Medicine—Current and Emerging Predictive and Prognostic Biomarkers in Colorectal Cancer
title_short Personalized Medicine—Current and Emerging Predictive and Prognostic Biomarkers in Colorectal Cancer
title_sort personalized medicine—current and emerging predictive and prognostic biomarkers in colorectal cancer
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7225926/
https://www.ncbi.nlm.nih.gov/pubmed/32231042
http://dx.doi.org/10.3390/cancers12040812
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