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Dive into the research topics where Philip S. Bernard is active.

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Featured researches published by Philip S. Bernard.


npj Breast Cancer | 2016

PAM50 gene signatures and breast cancer prognosis with adjuvant anthracycline- and taxane-based chemotherapy: correlative analysis of C9741 (Alliance)

Minetta C. Liu; Brandelyn N. Pitcher; Elaine Mardis; Sherri R. Davies; Paula N. Friedman; Jacqueline Snider; Tammi L. Vickery; Jerry P. Reed; Katherine DeSchryver; Baljit Singh; William J. Gradishar; Edith A. Perez; Silvana Martino; Marc L. Citron; Larry Norton; Clifford Hudis; L Carey; Philip S. Bernard; Torsten O. Nielsen; Charles M. Perou; Matthew J. Ellis; William T. Barry

PAM50 intrinsic breast cancer subtypes are prognostic independent of standard clinicopathologic factors. CALGB 9741 demonstrated improved recurrence-free (RFS) and overall survival (OS) with 2-weekly dose-dense (DD) versus 3-weekly therapy. A significant interaction between intrinsic subtypes and DD-therapy benefit was hypothesized. Suitable tumor samples were available from 1,471 (73%) of 2,005 subjects. Multiplexed gene-expression profiling generated the PAM50 subtype call, proliferation score, and risk of recurrence score (ROR-PT) for the evaluable subset of 1,311 treated patients. The interaction between DD-therapy benefit and intrinsic subtype was tested in a Cox proportional hazards model using two-sided alpha=0.05. Additional multivariable Cox models evaluated the proliferation and ROR-PT scores as continuous measures with selected clinical covariates. Improved outcomes for DD therapy in the evaluable subset mirrored results from the complete data set (RFS; hazard ratio=1.20; 95% confidence interval=0.99–1.44) with 12.3-year median follow-up. Intrinsic subtypes were prognostic of RFS (P<0.0001) irrespective of treatment assignment. No subtype-specific treatment effect on RFS was identified (interaction P=0.44). Proliferation and ROR-PT scores were prognostic for RFS (both P<0.0001), but no association with treatment benefit was seen (P=0.14 and 0.59, respectively). Results were similar for OS. The prognostic value of PAM50 intrinsic subtype was greater than estrogen receptor/HER2 immunohistochemistry classification. PAM50 gene signatures were highly prognostic but did not predict for improved outcomes with DD anthracycline- and taxane-based therapy. Clinical validation studies will assess the ability of PAM50 and other gene signatures to stratify patients and individualize treatment based on expected risks of distant recurrence.


Archive | 2009

GENE EXPRESSION PROFILES TO PREDICT BREAST CANCER OUTCOMES

Charles M. Perou; Joel S. Parker; Andrew B. Nobel; Philip S. Bernard; Matthew Ellis; Elaine Mardis; Torsten O. Nielsen; Maggie Cheang; J. S. Marron


Archive | 2012

Methods of treating breast cancer with taxane therapy

Charles M. Perou; Philip S. Bernard; Torsten O. Nielsen; Matthew Ellis; Joel S. Parker; Miguel Martin; Eva Carrasco; Rosalia Caballero


Archive | 2008

Molecular diagnosis and typing of lung cancer variants

David N. Hayes; Charles M. Perou; Philip S. Bernard


Archive | 2012

Methods of treating breast cancer with anthracycline therapy

Charles M. Perou; Matthew Ellis; Philip S. Bernard; Torsten O. Nielsen


Archive | 2014

Methods and kits for predicting outcome and methods and kits for treating breast cancer with radiation therapy

Maggie Cheang; Torsten O. Neilsen; Charles M. Perou; Matthew Ellis; Philip S. Bernard


Archive | 2017

METHOD FOR TREATING BREAST CANCER WITH TAXANE THERAPY

Charles M. Perou; Philip S. Bernard; Torsten O. Nielsen; Matthew J. Ellis; Joel S. Parker; Miguel A Martín; Eva Carrasco; Rosalia Caballero


Archive | 2013

Genes nano-46 et procedes de prediction de l'evolution du cancer du sein

Sean Ferree; Joel S. Parker; James Storhoff; Charles M. Perou; Matthew Ellis; Philip S. Bernard; Torsten O. Nielsen


Archive | 2009

Method of classifying a breast cancer instrinsic subtype

Charles M. Perou; Joel S. Parker; J. S. Marron; Andrew B. Nobel; Philip S. Bernard; Matthew Ellis; Elaine Mardis; Torsten O. Nielsen; Maggie Cheang


Archive | 2009

Gene expression profiles to forecast the outcome in breast cancer

Charles M. Perou; Joel S. Parker; J. S. Marron; Andrew B. Nobel; Philip S. Bernard; Matthew Ellis; Elaine Mardis; Torsten O. Nielsen; Maggie Cheang

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Charles M. Perou

University of North Carolina at Chapel Hill

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Matthew Ellis

University of North Carolina at Chapel Hill

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Torsten O. Nielsen

University of North Carolina at Chapel Hill

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Elaine Mardis

University of North Carolina at Chapel Hill

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Andrew B. Nobel

University of North Carolina at Chapel Hill

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J. S. Marron

University of North Carolina at Chapel Hill

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David N. Hayes

University of North Carolina at Chapel Hill

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