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Related Experiment Video

Updated: Jun 8, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

What can the molecular pathologist offer for optimal decision making?

S D Richman¹, G G A Hutchins, M T Seymour

¹Pathology and Tumour Biology, Leeds Institute of Molecular Medicine, Leeds, UK.

Annals of Oncology : Official Journal of the European Society for Medical Oncology

|October 15, 2010

Summary

Molecular biomarkers are crucial for managing advanced colorectal cancer. Identifying specific genetic mutations, like KRAS, helps predict treatment response and improve patient outcomes.

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Published on: November 2, 2013

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Last Updated: Jun 8, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

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Published on: April 11, 2016

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Published on: November 2, 2013

Area of Science:

Oncology
Molecular Biology
Genetics

Background:

Advanced colorectal cancer treatment is complex due to innovative therapies.
Validated molecular biomarkers are essential for patient management but were not routinely used.
The KRAS oncogene's activating mutations predict resistance to anti-epidermal growth factor receptor agents, highlighting biomarker importance.

Purpose of the Study:

To discuss the clinical value of biomarkers in advanced colorectal cancer.
To explore prognostic and predictive biomarkers reflecting molecular and therapeutic complexities.
To emphasize how biomarkers can improve patient management and therapeutic agent selection.

Main Methods:

Review of current literature on molecular biomarkers in advanced colorectal cancer.
Analysis of the role of KRAS mutations in predicting treatment response.
Discussion of prognostic and predictive biomarker utility.

Main Results:

Biomarkers, particularly KRAS mutations, are vital for predicting resistance to anti-EGFR therapies.
Prognostic and predictive biomarkers offer insights into clinical outcomes.
Biomarker-guided selection improves therapeutic agent choice.

Conclusions:

Molecular biomarkers are increasingly important in advanced colorectal cancer management.
Understanding genetic mutations like KRAS enhances personalized treatment strategies.
Biomarkers facilitate better patient outcomes and optimized therapy selection.