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Updated: Jun 27, 2026

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres
Published on: July 22, 2020
Applications of genomic tools to colorectal cancer therapeutics
J Todd Auman1, Howard L McLeod
1UNC Institute for Pharmacogenomics and Individualized Therapy, Eshelman School of Pharmacy, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599-7360, USA. jtauman@email.unc.edu
Abstract:
Clinically and histopathologically similar colorectal cancers exhibit considerable variability in their responses to chemotherapeutics. The advent of genomic technologies has enabled the unbiased determination of changes in DNA and RNA, alterations that may be responsible for, or predictive of the variability in response to chemotherapy. This review highlights several advances made in applying genomic tools toward colorectal cancer therapeutics. Progress has been made using gene expression profiling to identify which colorectal cancer patients would benefit most from adjuvant chemotherapy. In addition, advances have been made in colorectal cancer pharmacogenomics by identifying gene expression patterns associated with sensitivity to specific chemotherapeutic agents. Lastly, the use of genome-wide mutation screening of individual tumor samples to identify the profiles of mutated genes is explored. Future research toward integrating genomic information with clinical and histopathological data is expected to lead to improved therapeutic management of colorectal cancer.
Insights
Genomic tools reveal why colorectal cancer patients respond differently to chemotherapy. Gene expression profiling and mutation screening help predict treatment effectiveness, guiding personalized medicine for better outcomes.
Area of Science:
- Oncology
- Genomics
- Pharmacology
Background:
- Colorectal cancers with similar clinical and histopathological features show varied responses to chemotherapy.
- Genomic technologies offer unbiased methods to identify DNA and RNA alterations influencing chemotherapy response variability.
Purpose of the Study:
- To review advances in applying genomic tools for colorectal cancer therapeutics.
- To highlight how genomic information can predict and explain chemotherapy response variability.
Main Methods:
- Gene expression profiling to identify patient benefit from adjuvant chemotherapy.
- Pharmacogenomic analysis to link gene expression patterns with chemotherapeutic sensitivity.
- Genome-wide mutation screening of individual tumors to determine gene mutation profiles.
Main Results:
- Gene expression profiling can identify colorectal cancer patients who will benefit from adjuvant chemotherapy.
- Specific gene expression patterns are associated with sensitivity to particular chemotherapeutic agents.
- Genome-wide mutation screening provides insights into the molecular landscape of individual colorectal tumors.
Conclusions:
- Genomic approaches are advancing colorectal cancer therapeutics.
- Integrating genomic data with clinical and histopathological information is crucial for improving treatment management.
- Personalized medicine strategies in colorectal cancer can be enhanced through genomic insights.
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