Literature DB >> 11756754

Gene-expression profiles in hereditary breast cancer.

Arul M Chinnaiyan1, Mark A Rubin.   

Abstract

DNA microarray technology is revolutionizing the way fundamental biologic questions are addressed in the postgenomic era. In this study by Hedenfalk et al., the authors attempted to identify discrete gene expression profiles for patients with known hereditary breast cancers caused by mutations in BRCA1 and BRCA2, both of which increase the lifetime risk of developing breast cancer. The genome-wide perspective identified discrete sets of genes that discriminated between BRCA, BRCA2, and sporadic breast tumors. This commentary discusses some limitations of studying a small number of cases. The authors also address the need for validation on independent tumor sets, and the potential benefit of multivariable-type analyses to consider other potential confounding factors such as tumor grade, receptor status, tumor stage, and treatment information.

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Year:  2002        PMID: 11756754     DOI: 10.1097/00125480-200201000-00001

Source DB:  PubMed          Journal:  Adv Anat Pathol        ISSN: 1072-4109            Impact factor:   3.875


  2 in total

1.  Robust Significance Analysis of Microarrays by Minimum β-Divergence Method.

Authors:  Md Shahjaman; Nishith Kumar; Md Manir Hossain Mollah; Md Shakil Ahmed; Anjuman Ara Begum; S M Shahinul Islam; Md Nurul Haque Mollah
Journal:  Biomed Res Int       Date:  2017-07-27       Impact factor: 3.411

Review 2.  Genetic alteration and gene expression modulation during cancer progression.

Authors:  Cathie Garnis; Timon P H Buys; Wan L Lam
Journal:  Mol Cancer       Date:  2004-03-22       Impact factor: 27.401

  2 in total

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