A 50-Gene Intrinsic Subtype Classifier for Prognosis and Prediction of Benefit from Adjuvant Tamoxifen

被引:230
作者
Chia, Stephen K. [1 ]
Bramwell, Vivien H. [3 ]
Tu, Dongsheng [4 ]
Shepherd, Lois E. [4 ]
Jiang, Shan [4 ]
Vickery, Tammi
Mardis, Elaine
Leung, Samuel [2 ]
Ung, Karen [2 ]
Pritchard, Kathleen I. [5 ]
Parker, Joel S. [8 ]
Bernard, Philip S. [6 ,7 ,9 ]
Perou, Charles M. [8 ]
Ellis, Matthew J.
Nielsen, Torsten O. [2 ]
机构
[1] British Columbia Canc Agcy, Dept Med Oncol, Vancouver, BC V5Z 4E6, Canada
[2] Univ British Columbia, Dept Pathol, Vancouver, BC, Canada
[3] Tom Baker Canc Clin, Dept Med Oncol, Calgary, AB, Canada
[4] NCIC Clin Trials Grp CTG, Kingston, ON, Canada
[5] Sunnybrook Odette Canc Ctr, Dept Med Oncol, Toronto, ON, Canada
[6] Washington Univ, Sch Med, Div Oncol, St Louis, MO USA
[7] Washington Univ, Sch Med, Genome Sequencing Facil, St Louis, MO USA
[8] Univ N Carolina, Lineberger Comprehens Canc Ctr, Chapel Hill, NC 27599 USA
[9] Univ Utah, Hlth Sci Ctr, Dept Pathol, Salt Lake City, UT 84132 USA
关键词
ESTROGEN-RECEPTOR; BREAST-CANCER; GENE-EXPRESSION; MOLECULAR PORTRAITS; CARCINOMAS; IMMUNOHISTOCHEMISTRY; CHEMOTHERAPY; RECURRENCE; MICROARRAY; SUPERIOR;
D O I
10.1158/1078-0432.CCR-12-0286
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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. Clin Cancer Res; 18(16); 4465-72. (C)2012 AACR.
引用
收藏
页码:4465 / 4472
页数:8
相关论文
共 32 条
  • [1] Abe O, 2005, LANCET, V366, P2087, DOI 10.1016/s0140-6736(05)66544-0
  • [2] 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
    Badve, Sunil S.
    Baehner, Frederick L.
    Gray, Robert P.
    Childs, Barrett H.
    Maddala, Tara
    Liu, Mei-Lan
    Rowley, Steve C.
    Shak, Steven
    Perez, Edith D.
    Shulman, Lawrence J.
    Martino, Silvana
    Davidson, Nancy E.
    Sledge, George W.
    Goldstein, Lori J.
    Sparano, Joseph A.
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2008, 26 (15) : 2473 - 2481
  • [3] Baehner FL, 2006, P 29 ANN SAN ANT BRE
  • [4] 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)
    Bramwell, V. H. C.
    Pritchard, K. I.
    Tu, D.
    Tonkin, K.
    Vachhrajani, H.
    Vandenberg, T. A.
    Robert, J.
    Arnold, A.
    O'Reilly, S. E.
    Graham, B.
    Shepherd, L.
    [J]. ANNALS OF ONCOLOGY, 2010, 21 (02) : 283 - 290
  • [5] Basal-like breast cancer defined by five biomarkers has superior prognostic value then triple-negative phenotype
    Cheang, Maggie C. U.
    Voduc, David
    Bajdik, Chris
    Leung, Samuel
    McKinney, Steven
    Chia, Stephen K.
    Perou, Charles M.
    Nielsen, Torsten O.
    [J]. CLINICAL CANCER RESEARCH, 2008, 14 (05) : 1368 - 1376
  • [6] Immunohistochemical detection using the new rabbit monoclonal antibody SP1 of estrogen receptor in breast cancer is superior to mouse monoclonal antibody 1D5 in predicting survival
    Cheang, Maggie C. U.
    Treaba, Diana O.
    Speers, Caroline H.
    Olivotto, Ivo A.
    Bajdik, Chris D.
    Chia, Stephen K.
    Goldstein, Lynn C.
    Gelmon, Karen A.
    Huntsman, David
    Gilks, C. Blake
    Nielsen, Torsten O.
    Gown, Allen M.
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2006, 24 (36) : 5637 - 5644
  • [7] Ki67 Index, HER2 Status, and Prognosis of Patients With Luminal B Breast Cancer
    Cheang, Maggie C. U.
    Chia, Stephen K.
    Voduc, David
    Gao, Dongxia
    Leung, Samuel
    Snider, Jacqueline
    Watson, Mark
    Davies, Sherri
    Bernard, Philip S.
    Parker, Joel S.
    Perou, Charles M.
    Ellis, Matthew J.
    Nielsen, Torsten O.
    [J]. JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2009, 101 (10): : 736 - 750
  • [8] Analytical validation of the oncotype DX genomic diagnostic test for recurrence prognosis and therapeutic response prediction in node-negative, estrogen receptor-positive breast cancer
    Cronin, Maureen
    Sangli, Chithra
    Liu, Mei-Lan
    Pho, Mylan
    Dutta, Debjani
    Nguyen, Anhthu
    Jeong, Jennie
    Wu, Jenny
    Langone, Kim Clark
    Watson, Drew
    [J]. CLINICAL CHEMISTRY, 2007, 53 (06) : 1084 - 1091
  • [9] Relevance of breast cancer hormone receptors and other factors to the efficacy of adjuvant tamoxifen: patient-level meta-analysis of randomised trials
    Davies, C.
    Godwin, J.
    Gray, R.
    Clarke, M.
    Darby, S.
    McGale, P.
    Wang, Y. C.
    Peto, R.
    Pan, H. C.
    Cutter, D.
    Taylor, C.
    Ingle, J.
    [J]. LANCET, 2011, 378 (9793) : 771 - 784
  • [10] Concordance among gene-expression-based predictors for breast cancer
    Fan, Cheng
    Oh, Daniel S.
    Wessels, Lodewyk
    Weigelt, Britta
    Nuyten, Dimitry S. A.
    Nobel, Andrew B.
    van't Veer, Laura J.
    Perou, Charles M.
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2006, 355 (06) : 560 - 569