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Updated: May 1, 2026

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
Prediction of individualized therapeutic vulnerabilities in cancer from genomic profiles
Bülent Arman Aksoy1, Emek Demir2, Özgün Babur2
1Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, NY 10065 and Tri-Institutional Training Program in Computational Biology & Medicine, New York, NY 10065, USAComputational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, NY 10065 and Tri-Institutional Training Program in Computational Biology & Medicine, New York, NY 10065, USA.
Motivation:
Somatic homozygous deletions of chromosomal regions in cancer, while not necessarily oncogenic, may lead to therapeutic vulnerabilities specific to cancer cells compared with normal cells. A recently reported example is the loss of one of the two isoenzymes in glioblastoma cancer cells such that the use of a specific inhibitor selectively inhibited growth of the cancer cells, which had become fully dependent on the second isoenzyme. We have now made use of the unprecedented conjunction of large-scale cancer genomics profiling of tumor samples in The Cancer Genome Atlas (TCGA) and of tumor-derived cell lines in the Cancer Cell Line Encyclopedia, as well as the availability of integrated pathway information systems, such as Pathway Commons, to systematically search for a comprehensive set of such epistatic vulnerabilities.
Results:
Based on homozygous deletions affecting metabolic enzymes in 16 TCGA cancer studies and 972 cancer cell lines, we identified 4104 candidate metabolic vulnerabilities present in 1019 tumor samples and 482 cell lines. Up to 44% of these vulnerabilities can be targeted with at least one Food and Drug Administration-approved drug. We suggest focused experiments to test these vulnerabilities and clinical trials based on personalized genomic profiles of those that pass preclinical filters. We conclude that genomic profiling will in the future provide a promising basis for network pharmacology of epistatic vulnerabilities as a promising therapeutic strategy.
Availability And Implementation:
A web-based tool for exploring all vulnerabilities and their details is available at http://cbio.mskcc.org/cancergenomics/statius/ along with supplemental data files.
Insights
Researchers identified 4104 potential cancer vulnerabilities by analyzing genomic data from The Cancer Genome Atlas (TCGA) and cell lines. Many vulnerabilities are targetable with existing drugs, offering a new strategy for personalized cancer therapy.
Area of Science:
- Genomics
- Cancer Biology
- Pharmacology
Background:
- Somatic homozygous deletions in cancer can create unique vulnerabilities in cancer cells compared to normal cells.
- Loss of one isoenzyme in glioblastoma necessitates dependence on the remaining isoenzyme, presenting a therapeutic target.
- Large-scale cancer genomics data from TCGA and cell line data from CCLE enable systematic identification of such vulnerabilities.
Purpose of the Study:
- To systematically identify epistatic vulnerabilities arising from homozygous deletions in cancer.
- To leverage integrated pathway information systems for comprehensive vulnerability discovery.
- To explore the potential for network pharmacology based on genomic profiling.
Main Methods:
- Analysis of homozygous deletions affecting metabolic enzymes across 16 TCGA cancer studies.
- Examination of 972 cancer cell lines for candidate metabolic vulnerabilities.
- Integration of genomic data with pathway information systems.
Main Results:
- Identified 4104 candidate metabolic vulnerabilities in 1019 tumor samples and 482 cell lines.
- Up to 44% of identified vulnerabilities are targetable with FDA-approved drugs.
- A web-based tool is available for exploring these vulnerabilities.
Conclusions:
- Genomic profiling offers a promising basis for network pharmacology of epistatic vulnerabilities.
- Personalized genomic profiles can guide the development of targeted cancer therapies.
- Focused experiments and clinical trials are suggested to validate these findings.
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