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Updated: May 25, 2026

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
Impact of genomics on personalized cancer medicine
Carlos L Arteaga1, José Baselga
1Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee 37232-6307, USA. carlos.arteaga@vanderbilt.edu
Abstract:
Recent advances in tumor genetics and drug development have led to the generation of a wealth of anticancer targeted therapies. A few recent examples indicate that these drugs are mainly, if not exclusively, active against tumors of a particular genotype that can be identified by a diagnostic test, usually by detecting a somatic alteration in the tumor DNA. However, for the majority of targeted therapies in development, there are still no clinical tools to determine which patients are most likely to benefit or, alternatively, be resistant de novo to these novel agents or drug combinations.
Insights
New targeted cancer therapies show promise but require diagnostic tests to identify patients likely to respond. Current tools are lacking for many novel agents, hindering personalized treatment selection.
Area of Science:
- Oncology
- Genetics
- Pharmacology
Background:
- Advances in tumor genetics and drug development have yielded numerous targeted anticancer therapies.
- Many targeted drugs are effective only in tumors with specific genotypes, detectable via diagnostic tests.
- Somatic alterations in tumor DNA are key indicators for targeted therapy efficacy.
Purpose of the Study:
- To highlight the need for clinical tools to predict patient response to targeted therapies.
- To address the gap in identifying patients who will benefit from novel anticancer agents.
- To discuss the challenge of predicting de novo resistance to emerging targeted therapies.
Main Methods:
- Review of recent advances in targeted cancer therapy development.
- Analysis of current diagnostic approaches for identifying tumor genotypes.
- Examination of the limitations in predicting patient response to novel agents.
Main Results:
- A growing number of targeted therapies are genotype-specific.
- Diagnostic tests for somatic alterations are crucial for identifying responsive tumors.
- A significant gap exists in clinical tools for the majority of targeted therapies in development.
Conclusions:
- Personalized medicine in oncology relies heavily on predictive diagnostic tools.
- Development of companion diagnostics is essential for the successful implementation of targeted therapies.
- Further research is needed to create clinical assays for predicting response and resistance to novel anticancer drugs.
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