Cargando…
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...
Autores principales: | , , , , , , , , |
---|---|
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 |
_version_ | 1783534167209803776 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7225926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT koulischristine personalizedmedicinecurrentandemergingpredictiveandprognosticbiomarkersincolorectalcancer AT yapraymond personalizedmedicinecurrentandemergingpredictiveandprognosticbiomarkersincolorectalcancer AT engelrebekah personalizedmedicinecurrentandemergingpredictiveandprognosticbiomarkersincolorectalcancer AT jardethierry personalizedmedicinecurrentandemergingpredictiveandprognosticbiomarkersincolorectalcancer AT wilkinssimon personalizedmedicinecurrentandemergingpredictiveandprognosticbiomarkersincolorectalcancer AT solongemma personalizedmedicinecurrentandemergingpredictiveandprognosticbiomarkersincolorectalcancer AT shapirojeremyd personalizedmedicinecurrentandemergingpredictiveandprognosticbiomarkersincolorectalcancer AT abudhelen personalizedmedicinecurrentandemergingpredictiveandprognosticbiomarkersincolorectalcancer AT mcmurrickpaul personalizedmedicinecurrentandemergingpredictiveandprognosticbiomarkersincolorectalcancer |