Database of genomic biomarkers for cancer drugs and clinical targetability in solid tumors

Rodrigo Dienstmann1, In Sock Jang2, Brian Bot2

  • 1Sage Bionetworks, Fred Hutchinson Cancer Research Center, Seattle, Washington. rodrigo.dienstmann@sagebase.org.

Cancer Discovery
|February 7, 2015
PubMed
Abstract

Insights

Comprehensive genomic profiling reveals over 90% of cancer samples have targetable genetic alterations. Understanding these complex genomic landscapes is key to advancing precision cancer medicine and improving patient treatment decisions.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Precision cancer medicine aims to tailor treatments based on individual molecular profiles.
  • Genomic profiling identifies actionable targets for cancer therapy.

Purpose of the Study:

  • To determine the prevalence of mutations and copy-number alterations in solid tumors.
  • To assess gene-drug targetability and its association with therapeutic actions.
  • To evaluate the impact of clinical trial access on treatment decisions.

Main Methods:

  • Analysis of The Cancer Genome Atlas (TCGA) samples.
  • Comprehensive genomic profiling to identify mutations and copy-number alterations.
  • Assessment of gene-drug targetability at varying stringency levels.

Main Results:

  • Over 90% of TCGA samples exhibit potentially targetable genomic alterations, often multiple.
  • Nearly 80% of variants in rarely mutated oncogenes have uncertain functional significance.
  • Access to targeted agents in early clinical trials could influence treatment for 75% of cancer patients.

Conclusions:

  • The genomic landscape of cancer is complex, presenting challenges in treatment prioritization.
  • Further research is needed to clarify the functional significance of many genetic alterations.
  • Large-scale molecular profiling and standardized biomarker reporting are crucial for precision cancer medicine.

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