Dataset Information

Genomic profiling of murine mammary tumors identifies potential personalized drug targets for p53-deficient mammary cancers.

ABSTRACT: Targeted therapies against basal-like breast tumors, which are typically 'triple-negative breast cancers (TNBCs)', remain an important unmet clinical need. Somatic TP53 mutations are the most common genetic event in basal-like breast tumors and TNBC. To identify additional drivers and possible drug targets of this subtype, a comparative study between human and murine tumors was performed by utilizing a murine Trp53-null mammary transplant tumor model. We show that two subsets of murine Trp53-null mammary transplant tumors resemble aspects of the human basal-like subtype. DNA-microarray, whole-genome and exome-based sequencing approaches were used to interrogate the secondary genetic aberrations of these tumors, which were then compared to human basal-like tumors to identify conserved somatic genetic features. DNA copy-number variation produced the largest number of conserved candidate personalized drug targets. These candidates were filtered using a DNA-RNA Pearson correlation cut-off and a requirement that the gene was deemed essential in at least 5% of human breast cancer cell lines from an RNA-mediated interference screen database. Five potential personalized drug target genes, which were spontaneously amplified loci in both murine and human basal-like tumors, were identified: Cul4a, Lamp1, Met, Pnpla6 and Tubgcp3 As a proof of concept, inhibition of Met using crizotinib caused Met-amplified murine tumors to initially undergo complete regression. This study identifies Met as a promising drug target in a subset of murine Trp53-null tumors, thus identifying a potential shared driver with a subset of human basal-like breast cancers. Our results also highlight the importance of comparative genomic studies for discovering personalized drug targets and for providing a preclinical model for further investigations of key tumor signaling pathways.

SUBMITTER: Pfefferle AD

PROVIDER: S-EPMC4958311 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature

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Genomic profiling of murine mammary tumors identifies potential personalized drug targets for p53-deficient mammary cancers.

Pfefferle Adam D AD Agrawal Yash N YN Koboldt Daniel C DC Kanchi Krishna L KL Herschkowitz Jason I JI Mardis Elaine R ER Rosen Jeffrey M JM Perou Charles M CM

Disease models & mechanisms 20160505 7

Targeted therapies against basal-like breast tumors, which are typically 'triple-negative breast cancers (TNBCs)', remain an important unmet clinical need. Somatic TP53 mutations are the most common genetic event in basal-like breast tumors and TNBC. To identify additional drivers and possible drug targets of this subtype, a comparative study between human and murine tumors was performed by utilizing a murine Trp53-null mammary transplant tumor model. We show that two subsets of murine Trp53-nul ...[more]

PMID: 27149990

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Project description:Breast cancer is the second leading cause of cancer related death in American women. Patient care is complicated by inherent tumor heterogeneity that can be classified into at least six intrinsic subtypes. While targeted treatments are standard of care for most subtypes, there remains a clinical need for targeted therapies against basal-like tumors that are typically ‘triple negative breast cancers’. As such, the molecular mechanisms underlying basal-like tumors are under intense investigation to identify genetic drivers and possible drug targets of this subtype. Somatic p53 mutations are one of the most common genetic events in basal-like breast tumors. This genetic foundation primes cells to accumulate secondary genetic aberrations, a subset of which is predicted to promote tumorigenesis. To identify additional drivers of basal-like tumors, a comparative study between human and murine tumors was performed utilizing a p53null mammary transplant murine model. The p53null mammary transplant murine model produced a genomically diverse set of tumors, a subset of which we show resemble the human basal-like subtype. Microarray and sequencing technologies were used to interrogate the secondary genetic aberrations of these murine tumors which were then compared to human basal-like tumors to highlight conserved features. Of the ‘omic’ datasets analyzed, DNA copy number variation produced the largest number of conserved candidate driver genes. These candidate gene lists were further filtered using a DNA-RNA Pearson correlation cutoff of 0.5 and a requirement that the gene was deemed essential in at least one human basal-like cell line from a genome-wide RNA-mediated interference screen database. These steps highlighted seven potential driver genes that are at amplified loci in both murine and human basal-like tumors: Atp11a, Col4a2, Cul4a, Lamp1, Met, Pnpla6, and Tubgcp3. Inhibition of Met using Crizotinib caused Met amplified tumors to regress, confirming that this genetic event is a driver in a subset of p53null transplant mammary tumors. This study identifies MET as a driver of basal-like murine tumors, thus identifying a shared potential driver of human basal-like breast cancer. Our results also highlight the importance of comparative genomic studies for discovering drug targets and for providing models to study whether patient populations are likely to respond to selective targeted treatments.

Dataset Information

Genomic profiling of murine mammary tumors identifies potential personalized drug targets for p53-deficient mammary cancers.

Publications

Genomic profiling of murine mammary tumors identifies potential personalized drug targets for p53-deficient mammary cancers.

Similar Datasets

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