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Updated: Nov 15, 2025

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
An expanded universe of cancer targets
William C Hahn1, Joel S Bader2, Theodore P Braun3
1Dana-Farber Cancer Institute, Department of Medical Oncology, 450 Brookline Avenue, Boston, MA, USA.
Abstract:
The characterization of cancer genomes has provided insight into somatically altered genes across tumors, transformed our understanding of cancer biology, and enabled tailoring of therapeutic strategies. However, the function of most cancer alleles remains mysterious, and many cancer features transcend their genomes. Consequently, tumor genomic characterization does not influence therapy for most patients. Approaches to understand the function and circuitry of cancer genes provide complementary approaches to elucidate both oncogene and non-oncogene dependencies. Emerging work indicates that the diversity of therapeutic targets engendered by non-oncogene dependencies is much larger than the list of recurrently mutated genes. Here we describe a framework for this expanded list of cancer targets, providing novel opportunities for clinical translation.
Insights
Cancer genome studies reveal altered genes but most functions remain unknown. New frameworks identify non-oncogene dependencies as key therapeutic targets for improved cancer treatment.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Cancer genome characterization has advanced understanding of tumor biology and therapeutic strategies.
- The functional roles of most cancer-associated alleles are not yet understood.
- Many tumor characteristics extend beyond genomic alterations, limiting the impact of genomic data on patient therapy.
Purpose of the Study:
- To present a framework for identifying and understanding cancer targets beyond mutated genes.
- To explore oncogene and non-oncogene dependencies in cancer.
- To expand the scope of potential therapeutic targets for clinical translation.
Main Methods:
- Utilizing genomic characterization data.
- Investigating the functional circuitry of cancer genes.
- Analyzing oncogene and non-oncogene dependencies.
Main Results:
- Most cancer alleles' functions remain elusive.
- Cancer features often transcend genomic alterations.
- Non-oncogene dependencies represent a vast, largely untapped resource for cancer targets.
Conclusions:
- A novel framework expands the list of potential cancer targets.
- Non-oncogene dependencies offer greater target diversity than mutated genes.
- This approach presents new opportunities for clinical translation in cancer therapy.
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