Literature DB >> 21264507

Genome-wide copy number alterations in subtypes of invasive breast cancers in young white and African American women.

Lenora W M Loo1, Yinghui Wang, Erin M Flynn, Mary Jo Lund, Erin J Aiello Bowles, Diana S M Buist, Jonathan M Liff, Elaine W Flagg, Ralph J Coates, J William Eley, Li Hsu, Peggy L Porter.   

Abstract

Genomic copy number alterations (CNA) are common in breast cancer. Identifying characteristic CNAs associated with specific breast cancer subtypes is a critical step in defining potential mechanisms of disease initiation and progression. We used genome-wide array comparative genomic hybridization to identify distinctive CNAs in breast cancer subtypes from 259 young (diagnosed with breast cancer at <55 years) African American (AA) and Caucasian American (CA) women originally enrolled in a larger population-based study. We compared the average frequency of CNAs across the whole genome for each breast tumor subtype and found that estrogen receptor (ER)-negative tumors had a higher average frequency of genome-wide gain (P < 0.0001) and loss (P = 0.02) compared to ER-positive tumors. Triple-negative (TN) tumors had a higher average frequency of genome-wide gain (P < 0.0001) and loss (P = 0.003) than non-TN tumors. No significant difference in CNA frequency was observed between HER2-positive and -negative tumors. We also identified previously unreported recurrent CNAs (frequency >40%) for TN breast tumors at 10q, 11p, 11q, 16q, 20p, and 20q. In addition, we report CNAs that differ in frequency between TN breast tumors of AA and CA women. This is of particular relevance because TN breast cancer is associated with higher mortality and young AA women have higher rates of TN breast tumors compared to CA women. These data support the possibility that higher overall frequency of genomic alteration events as well as specific focal CNAs in TN breast tumors might contribute in part to the poor breast cancer prognosis for young AA women.

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Year:  2011        PMID: 21264507      PMCID: PMC3224104          DOI: 10.1007/s10549-010-1297-x

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  46 in total

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3.  Distinct patterns of DNA copy number alteration are associated with different clinicopathological features and gene-expression subtypes of breast cancer.

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4.  Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications.

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Review 5.  Breast cancer in African-American women: differences in tumor biology from European-American women.

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6.  Genomic and transcriptional aberrations linked to breast cancer pathophysiologies.

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Journal:  BMC Cancer       Date:  2006-10-13       Impact factor: 4.430

10.  C-myc amplification in breast cancer: a meta-analysis of its occurrence and prognostic relevance.

Authors:  S L Deming; S J Nass; R B Dickson; B J Trock
Journal:  Br J Cancer       Date:  2000-12       Impact factor: 7.640

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  28 in total

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Review 3.  Emerging evidence for the role of differential tumor microenvironment in breast cancer racial disparity: a closer look at the surroundings.

Authors:  Sachin Kumar Deshmukh; Sanjeev K Srivastava; Nikhil Tyagi; Aamir Ahmad; Ajay P Singh; Ahmed A L Ghadhban; Donna L Dyess; James E Carter; Kari Dugger; Seema Singh
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4.  Differences in gene and protein expression and the effects of race/ethnicity on breast cancer subtypes.

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6.  Integrated Analysis of Genetic Ancestry and Genomic Alterations across Cancers.

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Journal:  Cancer Cell       Date:  2018-10-08       Impact factor: 31.743

Review 7.  Health and Racial Disparity in Breast Cancer.

Authors:  Clement G Yedjou; Jennifer N Sims; Lucio Miele; Felicite Noubissi; Leroy Lowe; Duber D Fonseca; Richard A Alo; Marinelle Payton; Paul B Tchounwou
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8.  Relationship between tumor DNA methylation status and patient characteristics in African-American and European-American women with breast cancer.

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9.  The mitochondrial transporter SLC25A43 is frequently deleted and may influence cell proliferation in HER2-positive breast tumors.

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Journal:  BMC Cancer       Date:  2012-08-10       Impact factor: 4.430

10.  Comparative analysis of methods for identifying recurrent copy number alterations in cancer.

Authors:  Xiguo Yuan; Junying Zhang; Shengli Zhang; Guoqiang Yu; Yue Wang
Journal:  PLoS One       Date:  2012-12-20       Impact factor: 3.240

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