Literature DB >> 29650789

Reparameterization of PAM50 Expression Identifies Novel Breast Tumor Dimensions and Leads to Discovery of a Genome-Wide Significant Breast Cancer Locus at 12q15.

Michael J Madsen1, Stacey Knight2,3, Carol Sweeney2, Rachel Factor2, Mohamed Salama2, Inge J Stijleman1, Venkatesh Rajamanickam1, Bryan E Welm1,2, Sasi Arunachalam1, Brandt Jones1, Rakesh Rachamadugu1, Kerry Rowe3, Melissa H Cessna3, Alun Thomas2, Lawrence H Kushi4, Bette J Caan4, Philip S Bernard1,2, Nicola J Camp5,2.   

Abstract

Background: Breast tumor subtyping has failed to provide impact in susceptibility genetics. The PAM50 assay categorizes breast tumors into: Luminal A, Luminal B, HER2-enriched and Basal-like. However, tumors are often more complex than simple categorization can describe. The identification of heritable tumor characteristics has potential to decrease heterogeneity and increase power for gene finding.
Methods: We used 911 sporadic breast tumors with PAM50 expression data to derive tumor dimensions using principal components (PC). Dimensions in 238 tumors from high-risk pedigrees were compared with the sporadic tumors. Proof-of-concept gene mapping, informed by tumor dimension, was performed using Shared Genomic Segment (SGS) analysis.
Results: Five dimensions (PC1-5) explained the majority of the PAM50 expression variance: three captured intrinsic subtype, two were novel (PC3, PC5). All five replicated in 745 TCGA tumors. Both novel dimensions were significantly enriched in the high-risk pedigrees (intrinsic subtypes were not). SGS gene-mapping in a pedigree identified a 0.5 Mb genome-wide significant region at 12q15 This region segregated through 32 meioses to 8 breast cancer cases with extreme PC3 tumors (P = 2.6 × 10-8).Conclusions: PC analysis of PAM50 gene expression revealed multiple independent, quantitative measures of tumor diversity. These tumor dimensions show evidence for heritability and potential as powerful traits for gene mapping.Impact: Our study suggests a new approach to describe tumor expression diversity, provides new avenues for germline studies, and proposes a new breast cancer locus. Similar reparameterization of expression patterns may inform other studies attempting to model the effects of tumor heterogeneity. Cancer Epidemiol Biomarkers Prev; 27(6); 644-52. ©2018 AACR. ©2018 American Association for Cancer Research.

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Year:  2018        PMID: 29650789      PMCID: PMC5984724          DOI: 10.1158/1055-9965.EPI-17-0887

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  33 in total

1.  Gene expression profiling predicts clinical outcome of breast cancer.

Authors:  Laura J van 't Veer; Hongyue Dai; Marc J van de Vijver; Yudong D He; Augustinus A M Hart; Mao Mao; Hans L Peterse; Karin van der Kooy; Matthew J Marton; Anke T Witteveen; George J Schreiber; Ron M Kerkhoven; Chris Roberts; Peter S Linsley; René Bernards; Stephen H Friend
Journal:  Nature       Date:  2002-01-31       Impact factor: 49.962

2.  Molecular portraits of human breast tumours.

Authors:  C M Perou; T Sørlie; M B Eisen; M van de Rijn; S S Jeffrey; C A Rees; J R Pollack; D T Ross; H Johnsen; L A Akslen; O Fluge; A Pergamenschikov; C Williams; S X Zhu; P E Lønning; A L Børresen-Dale; P O Brown; D Botstein
Journal:  Nature       Date:  2000-08-17       Impact factor: 49.962

3.  Immunohistochemical and clinical characterization of the basal-like subtype of invasive breast carcinoma.

Authors:  Torsten O Nielsen; Forrest D Hsu; Kristin Jensen; Maggie Cheang; Gamze Karaca; Zhiyuan Hu; Tina Hernandez-Boussard; Chad Livasy; Dave Cowan; Lynn Dressler; Lars A Akslen; Joseph Ragaz; Allen M Gown; C Blake Gilks; Matt van de Rijn; Charles M Perou
Journal:  Clin Cancer Res       Date:  2004-08-15       Impact factor: 12.531

4.  The Pathways Study: a prospective study of breast cancer survivorship within Kaiser Permanente Northern California.

Authors:  Marilyn L Kwan; Christine B Ambrosone; Marion M Lee; Janice Barlow; Sarah E Krathwohl; Isaac Joshua Ergas; Christine H Ashley; Julie R Bittner; Jeanne Darbinian; Keren Stronach; Bette J Caan; Warren Davis; Susan E Kutner; Charles P Quesenberry; Carol P Somkin; Barbara Sternfeld; John K Wiencke; Shichun Zheng; Lawrence H Kushi
Journal:  Cancer Causes Control       Date:  2008-05-14       Impact factor: 2.506

5.  Shared genomic segment analysis: the power to find rare disease variants.

Authors:  Stacey Knight; Ryan P Abo; Haley J Abel; Deborah W Neklason; Therese M Tuohy; Randall W Burt; Alun Thomas; Nicola J Camp
Journal:  Ann Hum Genet       Date:  2012-09-19       Impact factor: 1.670

6.  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

7.  A global reference for human genetic variation.

Authors:  Adam Auton; Lisa D Brooks; Richard M Durbin; Erik P Garrison; Hyun Min Kang; Jan O Korbel; Jonathan L Marchini; Shane McCarthy; Gil A McVean; Gonçalo R Abecasis
Journal:  Nature       Date:  2015-10-01       Impact factor: 49.962

8.  An integrated systems genetics screen reveals the transcriptional structure of inherited predisposition to metastatic disease.

Authors:  Farhoud Faraji; Ying Hu; Gang Wu; Natalie E Goldberger; Renard C Walker; Jinghui Zhang; Kent W Hunter
Journal:  Genome Res       Date:  2013-12-09       Impact factor: 9.043

9.  RNA profiling reveals familial aggregation of molecular subtypes in non-BRCA1/2 breast cancer families.

Authors:  Martin J Larsen; Mads Thomassen; Qihua Tan; Anne-Vibeke Lænkholm; Martin Bak; Kristina P Sørensen; Mette Klarskov Andersen; Torben A Kruse; Anne-Marie Gerdes
Journal:  BMC Med Genomics       Date:  2014-01-31       Impact factor: 3.063

10.  HIPK family kinases bind and regulate the function of the CCR4-NOT complex.

Authors:  Alfonso Rodriguez-Gil; Olesja Ritter; Juliane Hornung; Hilda Stekman; Marcus Krüger; Thomas Braun; Elisabeth Kremmer; Michael Kracht; M Lienhard Schmitz
Journal:  Mol Biol Cell       Date:  2016-04-27       Impact factor: 4.138

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  2 in total

1.  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

2.  An Improved, Assay Platform Agnostic, Absolute Single Sample Breast Cancer Subtype Classifier.

Authors:  Mi-Kyoung Seo; Soonmyung Paik; Sangwoo Kim
Journal:  Cancers (Basel)       Date:  2020-11-25       Impact factor: 6.639

  2 in total

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