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Charles M. Perou
Researcher at University of North Carolina at Chapel Hill
Publications - 645
Citations - 235604
Charles M. Perou is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 156, co-authored 573 publications receiving 202951 citations. Previous affiliations of Charles M. Perou include North Carolina Central University & University of Chicago.
Papers
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MPA-induced gene expression and stromal and parenchymal gene expression profiles in luminal murine mammary carcinomas with different hormonal requirements
Sebastián Giulianelli,Jason I. Herschkowitz,Vyomesh Patel,Caroline A. Lamb,J. Silvio Gutkind,Alfredo A. Molinolo,Charles M. Perou,Claudia Lanari +7 more
TL;DR: A gene expression profile is demonstrated that distinguishes both the epithelial and the stromal cells in mammary tumors with different hormone dependence, supporting the hypothesis that the tumor-associated stroma may contribute to hormone-independent tumor growth.
Journal ArticleDOI
Correction: Statistical modeling for selecting housekeeper genes
Aniko Szabo,Charles M. Perou,Mehmet Karaca,Laurent Perreard,Robert Palais,John Quackenbush,Philip S. Bernard,Philip S. Bernard +7 more
TL;DR: The full list of authors including Robert Palais has now been added as mentioned in this paper, which is the first time that we have included the complete list of all co-authors in this work.
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Genome Medicine in Cancer: What's in a Name?
TL;DR: Here, some simple, and hopefully universally acceptable, definitions, concepts, and trial designs are reviewed so that laboratory researchers and clinicians can move closer toward speaking the same language.
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Insulin Receptor Substrate Adaptor Proteins Mediate Prognostic Gene Expression Profiles in Breast Cancer.
Marc A. Becker,Yasir H. Ibrahim,Annabell S. Oh,Dedra H. Fagan,Sara A. Byron,Aaron L. Sarver,Adrian V. Lee,Leslie M. Shaw,Cheng Fan,Charles M. Perou,Douglas Yee +10 more
TL;DR: Univariate and multivariate analyses confirmed that IRS adaptor signatures correlated with poor outcome as measured by recurrence-free and overall survival, and IRS-specific gene signatures represent accurate surrogates of IGF activity and could predict response to anti-IGF therapy in breast cancer.
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Differences in race, molecular and tumor characteristics among women diagnosed with invasive ductal and lobular breast carcinomas
Lindsay A. Williams,Katherine A. Hoadley,Hazel B. Nichols,Joseph Geradts,Charles M. Perou,Michael I. Love,Andrew F. Olshan,Melissa A. Troester +7 more
TL;DR: While histology is strongly associated with molecular characteristics, histologic associations with age, race, size, grade, and stage persisted after restricting to Luminal A subtype, suggesting Histology may continue to be clinically relevant among Luminals A breast cancers.