Literature DB >> 22711706

A 50-gene intrinsic subtype classifier for prognosis and prediction of benefit from adjuvant tamoxifen.

Stephen K Chia1, Vivien H Bramwell, Dongsheng Tu, Lois E Shepherd, Shan Jiang, Tammi Vickery, Elaine Mardis, Samuel Leung, Karen Ung, Kathleen I Pritchard, Joel S Parker, Philip S Bernard, Charles M Perou, Matthew J Ellis, Torsten O Nielsen.   

Abstract

PURPOSE: Gene expression profiling classifies breast cancer into intrinsic subtypes based on the biology of the underlying disease pathways. We have used material from a prospective randomized trial of tamoxifen versus placebo in premenopausal women with primary breast cancer (NCIC CTG MA.12) to evaluate the prognostic and predictive significance of intrinsic subtypes identified by both the PAM50 gene set and by immunohistochemistry. EXPERIMENTAL
DESIGN: Total RNA from 398 of 672 (59%) patients was available for intrinsic subtyping with a quantitative reverse transcriptase PCR (qRT-PCR) 50-gene predictor (PAM50) for luminal A, luminal B, HER-2-enriched, and basal-like subtypes. A tissue microarray was also constructed from 492 of 672 (73%) of the study population to assess a panel of six immunohistochemical IHC antibodies to define the same intrinsic subtypes.
RESULTS: Classification into intrinsic subtypes by the PAM50 assay was prognostic for both disease-free survival (DFS; P = 0.0003) and overall survival (OS; P = 0.0002), whereas classification by the IHC panel was not. Luminal subtype by PAM50 was predictive of tamoxifen benefit [DFS: HR, 0.52; 95% confidence interval (CI), 0.32-0.86 vs. HR, 0.80; 95% CI, 0.50-1.29 for nonluminal subtypes], although the interaction test was not significant (P = 0.24), whereas neither subtyping by central immunohistochemistry nor by local estrogen receptor (ER) or progesterone receptor (PR) status were predictive. Risk of relapse (ROR) modeling with the PAM50 assay produced a continuous risk score in both node-negative and node-positive disease.
CONCLUSIONS: In the MA.12 study, intrinsic subtype classification by qRT-PCR with the PAM50 assay was superior to IHC profiling for both prognosis and prediction of benefit from adjuvant tamoxifen.

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Year:  2012        PMID: 22711706      PMCID: PMC3743663          DOI: 10.1158/1078-0432.CCR-12-0286

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  28 in total

1.  Definition of clinically distinct molecular subtypes in estrogen receptor-positive breast carcinomas through genomic grade.

Authors:  Sherene Loi; Benjamin Haibe-Kains; Christine Desmedt; Françoise Lallemand; Andrew M Tutt; Cheryl Gillet; Paul Ellis; Adrian Harris; Jonas Bergh; John A Foekens; Jan G M Klijn; Denis Larsimont; Marc Buyse; Gianluca Bontempi; Mauro Delorenzi; Martine J Piccart; Christos Sotiriou
Journal:  J Clin Oncol       Date:  2007-04-01       Impact factor: 44.544

2.  A randomized placebo-controlled study of tamoxifen after adjuvant chemotherapy in premenopausal women with early breast cancer (National Cancer Institute of Canada--Clinical Trials Group Trial, MA.12).

Authors:  V H C Bramwell; K I Pritchard; D Tu; K Tonkin; H Vachhrajani; T A Vandenberg; J Robert; A Arnold; S E O'Reilly; B Graham; L Shepherd
Journal:  Ann Oncol       Date:  2009-07-23       Impact factor: 32.976

3.  Estrogen- and progesterone-receptor status in ECOG 2197: comparison of immunohistochemistry by local and central laboratories and quantitative reverse transcription polymerase chain reaction by central laboratory.

Authors:  Sunil S Badve; Frederick L Baehner; Robert P Gray; Barrett H Childs; Tara Maddala; Mei-Lan Liu; Steve C Rowley; Steven Shak; Edith A Perez; Edith D Perez; Lawrence J Shulman; Silvana Martino; Nancy E Davidson; George W Sledge; Lori J Goldstein; Joseph A Sparano
Journal:  J Clin Oncol       Date:  2008-05-20       Impact factor: 44.544

4.  Analytical validation of the Oncotype DX genomic diagnostic test for recurrence prognosis and therapeutic response prediction in node-negative, estrogen receptor-positive breast cancer.

Authors:  Maureen Cronin; Chithra Sangli; Mei-Lan Liu; Mylan Pho; Debjani Dutta; Anhthu Nguyen; Jennie Jeong; Jenny Wu; Kim Clark Langone; Drew Watson
Journal:  Clin Chem       Date:  2007-04-26       Impact factor: 8.327

5.  Supervised risk predictor of breast cancer based on intrinsic subtypes.

Authors:  Joel S Parker; Michael Mullins; Maggie C U Cheang; Samuel Leung; David Voduc; Tammi Vickery; Sherri Davies; Christiane Fauron; Xiaping He; Zhiyuan Hu; John F Quackenbush; Inge J Stijleman; Juan Palazzo; J S Marron; Andrew B Nobel; Elaine Mardis; Torsten O Nielsen; Matthew J Ellis; Charles M Perou; Philip S Bernard
Journal:  J Clin Oncol       Date:  2009-02-09       Impact factor: 44.544

6.  Progesterone receptor is a significant factor associated with clinical outcomes and effect of adjuvant tamoxifen therapy in breast cancer patients.

Authors:  Shuzhen Liu; Stephen K Chia; Erika Mehl; Samuel Leung; Ashish Rajput; Maggie C U Cheang; Torsten O Nielsen
Journal:  Breast Cancer Res Treat       Date:  2009-02-10       Impact factor: 4.872

7.  Basal-like breast cancer defined by five biomarkers has superior prognostic value than triple-negative phenotype.

Authors:  Maggie C U Cheang; David Voduc; Chris Bajdik; Samuel Leung; Steven McKinney; Stephen K Chia; Charles M Perou; Torsten O Nielsen
Journal:  Clin Cancer Res       Date:  2008-03-01       Impact factor: 12.531

8.  GATA-3 expression in breast cancer has a strong association with estrogen receptor but lacks independent prognostic value.

Authors:  David Voduc; Maggie Cheang; Torsten Nielsen
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-02       Impact factor: 4.254

Review 9.  American Society of Clinical Oncology/College Of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer.

Authors:  M Elizabeth H Hammond; Daniel F Hayes; Mitch Dowsett; D Craig Allred; Karen L Hagerty; Sunil Badve; Patrick L Fitzgibbons; Glenn Francis; Neil S Goldstein; Malcolm Hayes; David G Hicks; Susan Lester; Richard Love; Pamela B Mangu; Lisa McShane; Keith Miller; C Kent Osborne; Soonmyung Paik; Jane Perlmutter; Anthony Rhodes; Hironobu Sasano; Jared N Schwartz; Fred C G Sweep; Sheila Taube; Emina Emilia Torlakovic; Paul Valenstein; Giuseppe Viale; Daniel Visscher; Thomas Wheeler; R Bruce Williams; James L Wittliff; Antonio C Wolff
Journal:  J Clin Oncol       Date:  2010-04-19       Impact factor: 44.544

10.  Ki67 index, HER2 status, and prognosis of patients with luminal B breast cancer.

Authors:  Maggie C U Cheang; Stephen K Chia; David Voduc; Dongxia Gao; Samuel Leung; Jacqueline Snider; Mark Watson; Sherri Davies; Philip S Bernard; Joel S Parker; Charles M Perou; Matthew J Ellis; Torsten O Nielsen
Journal:  J Natl Cancer Inst       Date:  2009-05-12       Impact factor: 13.506

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  106 in total

1.  Defining breast cancer intrinsic subtypes by quantitative receptor expression.

Authors:  Maggie C U Cheang; Miguel Martin; Torsten O Nielsen; Aleix Prat; David Voduc; Alvaro Rodriguez-Lescure; Amparo Ruiz; Stephen Chia; Lois Shepherd; Manuel Ruiz-Borrego; Lourdes Calvo; Emilio Alba; Eva Carrasco; Rosalia Caballero; Dongsheng Tu; Kathleen I Pritchard; Mark N Levine; Vivien H Bramwell; Joel Parker; Philip S Bernard; Matthew J Ellis; Charles M Perou; Angelo Di Leo; Lisa A Carey
Journal:  Oncologist       Date:  2015-04-23

Review 2.  Whole-Genome Sequencing in Cancer.

Authors:  Eric Y Zhao; Martin Jones; Steven J M Jones
Journal:  Cold Spring Harb Perspect Med       Date:  2019-03-01       Impact factor: 6.915

3.  Multi-level gene expression signatures, but not binary, outperform Ki67 for the long term prognostication of breast cancer patients.

Authors:  Nicholas P Tobin; Linda S Lindström; Joseph W Carlson; Judith Bjöhle; Jonas Bergh; Kristian Wennmalm
Journal:  Mol Oncol       Date:  2014-02-28       Impact factor: 6.603

4.  HIF-1 regulates CD47 expression in breast cancer cells to promote evasion of phagocytosis and maintenance of cancer stem cells.

Authors:  Huimin Zhang; Haiquan Lu; Lisha Xiang; John W Bullen; Chuanzhao Zhang; Debangshu Samanta; Daniele M Gilkes; Jianjun He; Gregg L Semenza
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-28       Impact factor: 11.205

5.  Multigene Assays for Classification, Prognosis, and Prediction in Breast Cancer: a Critical Review on the Background and Clinical Utility.

Authors:  P Sinn; S Aulmann; R Wirtz; S Schott; F Marmé; Z Varga; A Lebeau; H Kreipe; A Schneeweiss
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-09       Impact factor: 2.915

6.  Intrinsic subtypes from PAM50 gene expression assay in a population-based breast cancer cohort: differences by age, race, and tumor characteristics.

Authors:  Carol Sweeney; Philip S Bernard; Rachel E Factor; Marilyn L Kwan; Laurel A Habel; Charles P Quesenberry; Kaylynn Shakespear; Erin K Weltzien; Inge J Stijleman; Carole A Davis; Mark T W Ebbert; Adrienne Castillo; Lawrence H Kushi; Bette J Caan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-02-12       Impact factor: 4.254

7.  The histone chaperone HJURP is a new independent prognostic marker for luminal A breast carcinoma.

Authors:  Rocío Montes de Oca; Zachary A Gurard-Levin; Frédérique Berger; Haniya Rehman; Elise Martel; Armelle Corpet; Leanne de Koning; Isabelle Vassias; Laurence O W Wilson; Didier Meseure; Fabien Reyal; Alexia Savignoni; Bernard Asselain; Xavier Sastre-Garau; Geneviève Almouzni
Journal:  Mol Oncol       Date:  2014-11-20       Impact factor: 6.603

Review 8.  Genomic profiling in luminal breast cancer.

Authors:  Oleg Gluz; Daniel Hofmann; Rachel Würstlein; Cornelia Liedtke; Ulrike Nitz; Nadia Harbeck
Journal:  Breast Care (Basel)       Date:  2013-12       Impact factor: 2.860

9.  Family Study Designs Informed by Tumor Heterogeneity and Multi-Cancer Pleiotropies: The Power of the Utah Population Database.

Authors:  Heidi A Hanson; Claire L Leiser; Michael J Madsen; John Gardner; Stacey Knight; Melissa Cessna; Carol Sweeney; Jennifer A Doherty; Ken R Smith; Philip S Bernard; Nicola J Camp
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-02-25       Impact factor: 4.254

10.  Chromatin Regulators as a Guide for Cancer Treatment Choice.

Authors:  Zachary A Gurard-Levin; Laurence O W Wilson; Vera Pancaldi; Sophie Postel-Vinay; Fabricio G Sousa; Cecile Reyes; Elisabetta Marangoni; David Gentien; Alfonso Valencia; Yves Pommier; Paul Cottu; Geneviève Almouzni
Journal:  Mol Cancer Ther       Date:  2016-05-16       Impact factor: 6.261

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