Evidence map›Paper›PMID 27149990›Full record

ArticleDisease models & mechanisms2016

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

Adam D Pfefferle, Yash N Agrawal, Daniel C Koboldt, Krishna L Kanchi, Jason I Herschkowitz, Elaine R Mardis, Jeffrey M Rosen, Charles M Perou

Open access · goldAbstract read
In one paragraph

Article in Disease models & mechanisms, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.6field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 33 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. How to Choose a Mouse Model of Breast Cancer, a Genomic Perspective.Journal of mammary gland biology and neoplasia · 2019
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Adam D PfefferleDepartment of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, NC 27599, USA Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA.ORCID 0000-0002-4924-1767
Yash N AgrawalLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA.
Daniel C KoboldtThe McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO 63108, USA.
Krishna L KanchiThe McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO 63108, USA.
Jason I HerschkowitzDepartment of Biomedical Sciences, University at Albany, Rensselaer, NY 12144, USA.
Elaine R MardisThe McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO 63108, USA.
Jeffrey M RosenDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA.
Charles M PerouDepartment of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, NC 27599, USA Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA cperou@med.unc.edu.
James S. McDonnell Foundation · USUniversity of North Carolina at Chapel Hill · USBaylor College of Medicine · USUniversity at Albany, State University of New York · US

Funding

Large Scale Genome SequencingU54HG003079 · NHGRI · WASHINGTON UNIVERSITY · PI DUTCHER, SUSAN K · 2004 to 2016
$445.7M
Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KATHERINE A. HOADLEY · 1992 to 2026
$59.3M
Therapeutic Targeting of Breast Cancer Tumor Initiating CellsR01CA148761 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PEROU, CHARLES M, ROSEN, JEFFREY MARK · 2010 to 2025
$6.5M
Mouse Models of Metastatic Triple-Negative Breast Cancer for Therapeutic TestingR01CA195754 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PEROU, CHARLES M, ROSEN, JEFFREY MARK · 2015 to 2017
$1.7M
NCI NIH HHS P50 CA058223NCI NIH HHS R01 CA148761NCI NIH HHS R01 CA195754NHGRI NIH HHS U54 HG003079
6 · The paper itself

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.

Indexed as

Gene Expression ProfilingMolecular Targeted TherapyPrecision MedicineAnimalsBreast NeoplasmsChromosomes, MammalianCrizotinibDNA Copy Number VariationsFemaleHumansMammary Neoplasms, AnimalMice, Inbred BALB CPyrazolesPyridinesTumor Suppressor Protein p53CrizotinibPyrazolesPyridinesTumor Suppressor Protein p53Basal-like breast cancerExome sequencingGenetically engineered mouse modelsp53Personalized genomicsWhole-genome sequencing

Identifiers

PMID27149990
PMCPMC4958311
OpenAlexW2346486905

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.