Literature DB >> 32856720

Association between breast cancer risk and disease aggressiveness: Characterizing underlying gene expression patterns.

Emilio Ugalde-Morales1, Felix Grassmann1,2, Keith Humphreys1,3, Jingmei Li1,4,5, Mikael Eriksson1, Nicholas P Tobin6, Åke Borg7,8,9,10, Johan Vallon-Christersson7,8,9, Per Hall1,11, Kamila Czene1.   

Abstract

The association between breast cancer risk defined by the Tyrer-Cuzick score (TC) and disease prognosis is not well established. Here, we investigated the relationship between 5-year TC and disease aggressiveness and then characterized underlying molecular processes. In a case-only study (n = 2474), we studied the association of TC with molecular subtypes and tumor characteristics. In a subset of patients (n = 672), we correlated gene expression to TC and computed a low-risk TC gene expression (TC-Gx) profile, that is, a profile expected to be negatively associated with risk, which we used to test for association with disease aggressiveness. We performed enrichment analysis to pinpoint molecular processes likely to be altered in low-risk tumors. A higher TC was found to be inversely associated with more aggressive surrogate molecular subtypes and tumor characteristics (P < .05) including Ki-67 proliferation status (P < 5 × 10-07 ). Our low-risk TC-Gx, based on the weighted sum of 37 expression values of genes strongly correlated with TC, was associated with basal-like (P < 5 × 10-13 ), HER2-enriched subtype (P < 5 × 10-07 ) and worse 10-year breast cancer-specific survival (log-rank P < 5 × 10-04 ). Associations between low-risk TC-Gx and more aggressive molecular subtypes were replicated in an independent cohort from The Cancer Genome Atlas database (n = 975). Gene expression that correlated with low TC was enriched in proliferation and oncogenic signaling pathways (FDR < 0.05). Moreover, higher proliferation was a key factor explaining the association with worse survival. Women who developed breast cancer despite having a low risk were diagnosed with more aggressive tumors and had a worse prognosis, most likely driven by increased proliferation. Our findings imply the need to establish risk factors associated with more aggressive breast cancer subtypes.
© 2020 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of Union for International Cancer Control.

Entities:  

Keywords:  Tyrer-Cuzick risk score; breast cancer; gene expression; prognosis; subtypes

Mesh:

Substances:

Year:  2020        PMID: 32856720      PMCID: PMC7818270          DOI: 10.1002/ijc.33270

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  42 in total

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Authors:  Lotti Barlow; Kerstin Westergren; Lars Holmberg; Mats Talbäck
Journal:  Acta Oncol       Date:  2009       Impact factor: 4.089

Review 5.  Retired self-proteins as vaccine targets for primary immunoprevention of adult-onset cancers.

Authors:  Vincent K Tuohy
Journal:  Expert Rev Vaccines       Date:  2014-08-29       Impact factor: 5.217

6.  The Molecular Signatures Database (MSigDB) hallmark gene set collection.

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Review 7.  Reproductive risk factors and breast cancer subtypes: a review of the literature.

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8.  Preferential Inhibition of Wnt/β-Catenin Signaling by Novel Benzimidazole Compounds in Triple-Negative Breast Cancer.

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Review 9.  MYC-Driven Pathways in Breast Cancer Subtypes.

Authors:  Yassi Fallah; Janetta Brundage; Paul Allegakoen; Ayesha N Shajahan-Haq
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10.  Comprehensive molecular portraits of human breast tumours.

Authors: 
Journal:  Nature       Date:  2012-09-23       Impact factor: 49.962

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  2 in total

1.  Comments on "Association between breast cancer risk and disease aggressiveness: Characterizing underlying gene expression patterns".

Authors:  Andrew Brane; Michael Behring; Karina I Halilova; Lyse Norian
Journal:  Int J Cancer       Date:  2021-05-06       Impact factor: 7.396

2.  Association between breast cancer risk and disease aggressiveness: Characterizing underlying gene expression patterns.

Authors:  Emilio Ugalde-Morales; Felix Grassmann; Keith Humphreys; Jingmei Li; Mikael Eriksson; Nicholas P Tobin; Åke Borg; Johan Vallon-Christersson; Per Hall; Kamila Czene
Journal:  Int J Cancer       Date:  2020-09-05       Impact factor: 7.396

  2 in total

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