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Updated: Apr 17, 2026

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
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.
Summary:
Comprehensive genomic profiling is expected to revolutionize cancer therapy. In this Prospective, we present the prevalence of mutations and copy-number alterations with predictive associations across solid tumors at different levels of stringency for gene-drug targetability. More than 90% of The Cancer Genome Atlas samples have potentially targetable alterations, the majority with multiple events, illustrating the challenges for treatment prioritization given the complexity of the genomic landscape. Nearly 80% of the variants in rarely mutated oncogenes are of uncertain functional significance, reflecting the gap in our understanding of the relevance of many alterations potentially linked to therapeutic actions. Access to targeted agents in early clinical trials could affect treatment decision in 75% of patients with cancer. Prospective implementation of large-scale molecular profiling and standardized reports of predictive biomarkers are fundamental steps for making precision cancer medicine a reality.
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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