The molecular basis of breast cancer pathological phenotypes

被引:84
作者
Heng, Yujing J. [1 ,2 ]
Lester, Susan C. [3 ]
Tse, Gary M. K. [4 ]
Factor, Rachel E. [5 ]
Allison, Kimberly H. [6 ]
Collins, Laura C. [1 ,2 ]
Chen, Yunn-Yi [7 ]
Jensen, Kristin C. [6 ,8 ]
Johnson, Nicole B. [1 ,2 ]
Jeong, Jong Cheol [1 ,2 ]
Punjabi, Rahi [1 ,2 ]
Shin, Sandra J. [9 ]
Singh, Kamaljeet [10 ]
Krings, Gregor [7 ]
Eberhard, David A. [11 ]
Tan, Puay Hoon [12 ]
Korski, Konstanty [13 ]
Waldman, Frederic M. [14 ]
Gutman, David A. [15 ]
Sanders, Melinda [16 ]
Reis-Filho, Jorge S. [17 ]
Flanagan, Sydney R. [1 ,2 ]
Gendoo, Deena M. A. [18 ,19 ,20 ]
Chen, Gregory M. [18 ]
Haibe-Kains, Benjamin [18 ,19 ,20 ]
Ciriello, Giovanni [21 ]
Hoadley, Katherine A. [22 ]
Perou, Charles M. [11 ,22 ]
Beck, Andrew H. [1 ,2 ]
机构
[1] Beth Israel Deaconess Canc Ctr, Canc Res Inst, Boston, MA USA
[2] Harvard Med Sch, Dept Pathol, Beth Israel Deaconess Med Ctr, 330 Brookline Ave,Dana 517-528, Boston, MA 02115 USA
[3] Harvard Med Sch, Brigham & Womens Hosp, Dept Pathol, Boston, MA 02115 USA
[4] Chinese Univ Hong Kong, Prince Wales Hosp, Dept Anat & Cellular Pathol, Shatin, Hong Kong, Peoples R China
[5] Univ Utah, Sch Med, Dept Pathol, Huntsman Canc Inst, Salt Lake City, UT USA
[6] Stanford Univ, Dept Pathol, Sch Med, Stanford Med Ctr, Stanford, CA 94305 USA
[7] Univ Calif San Francisco, Sch Med, Dept Pathol, San Francisco, CA 94143 USA
[8] VA Palo Alto Healthcare Syst, Palo Alto, CA USA
[9] Weill Cornell Med Coll, Dept Pathol & Lab Med, New York, NY USA
[10] Brown Univ, Dept Pathol & Lab Med, Providence, RI 02912 USA
[11] Univ N Carolina, Sch Med, Dept Pathol & Lab Med, Chapel Hill, NC USA
[12] Singapore Gen Hosp, Dept Pathol, Singapore, Singapore
[13] Greater Poland Canc Ctr, Dept Pathol, Poznan, Poland
[14] Univ Calif San Francisco, Sch Med, Dept Lab Med, San Francisco, CA USA
[15] Emory Univ, Sch Med, Dept Biomed Informat, Atlanta, GA USA
[16] Vanderbilt Univ, Dept Pathol Microbiol & Immunol, 221 Kirkland Hall, Nashville, TN 37235 USA
[17] Mem Sloan Kettering Canc Ctr, Dept Pathol, 1275 York Ave, New York, NY 10021 USA
[18] Univ Hlth Network, Princess Margaret Canc Ctr, Toronto, ON, Canada
[19] Univ Toronto, Dept Med Biophys, Toronto, ON, Canada
[20] Univ Toronto, Dept Comp Sci, Toronto, ON, Canada
[21] Univ Lausanne, Dept Med Genet, Lausanne, Switzerland
[22] Univ N Carolina, Sch Med, Dept Genet, Chapel Hill, NC USA
基金
美国国家卫生研究院;
关键词
PAM50; TCGA; bioinformatics; genomics; mRNA; epithelial tubule formation; histological grade; CARCINOMA IN-SITU; TUMOR-INFILTRATING LYMPHOCYTES; INVASIVE DUCTAL CARCINOMA; GENE-EXPRESSION PROFILES; FATTY-ACID OXIDATION; PROGNOSTIC-FACTORS; HISTOLOGIC GRADE; BASAL PHENOTYPE; CTLA-4; BLOCKADE; FIBROTIC FOCUS;
D O I
10.1002/path.4847
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The histopathological evaluation of morphological features in breast tumours provides prognostic information to guide therapy. Adjunct molecular analyses provide further diagnostic, prognostic and predictive information. However, there is limited knowledge of the molecular basis of morphological phenotypes in invasive breast cancer. This study integrated genomic, transcriptomic and protein data to provide a comprehensive molecular profiling of morphological features in breast cancer. Fifteen pathologists assessed 850 invasive breast cancer cases from The Cancer Genome Atlas (TCGA). Morphological features were significantly associated with genomic alteration, DNA methylation subtype, PAM50 and microRNA subtypes, proliferation scores, gene expression and/or reverse-phase protein assay subtype. Marked nuclear pleomorphism, necrosis, inflammation and a high mitotic count were associated with the basal-like subtype, and had a similar molecular basis. Omics-based signatures were constructed to predict morphological features. The association of morphology transcriptome signatures with overall survival in oestrogen receptor (ER)-positive and ER-negative breast cancer was first assessed by use of the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) dataset; signatures that remained prognostic in the METABRIC multivariate analysis were further evaluated in five additional datasets. The transcriptomic signature of poorly differentiated epithelial tubules was prognostic in ER-positive breast cancer. No signature was prognostic in ER-negative breast cancer. This study provided new insights into the molecular basis of breast cancer morphological phenotypes. The integration of morphological with molecular data has the potential to refine breast cancer classification, predict response to therapy, enhance our understanding of breast cancer biology, and improve clinical management. This work is publicly accessible at . Copyright (c) 2016 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
引用
收藏
页码:375 / 391
页数:17
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