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Published July 2010 | Supplemental Material + Accepted Version
Journal Article Open

Exon-Level Microarray Analyses Identify Alternative Splicing Programs in Breast Cancer

Abstract

Protein isoforms produced by alternative splicing (AS) of many genes have been implicated in several aspects of cancer genesis and progression. These observations motivated a genome-wide assessment of AS in breast cancer. We accomplished this by measuring exon level expression in 31 breast cancer and nonmalignant immortalized cell lines representing luminal, basal, and claudin-low breast cancer subtypes using Affymetrix Human Junction Arrays. We analyzed these data using a computational pipeline specifically designed to detect AS with a low false-positive rate. This identified 181 splice events representing 156 genes as candidates for AS. Reverse transcription-PCR validation of a subset of predicted AS events confirmed 90%. Approximately half of the AS events were associated with basal, luminal, or claudin-low breast cancer subtypes. Exons involved in claudin-low subtype–specific AS were significantly associated with the presence of evolutionarily conserved binding motifs for the tissue-specific Fox2 splicing factor. Small interfering RNA knockdown of Fox2 confirmed the involvement of this splicing factor in subtype-specific AS. The subtype-specific AS detected in this study likely reflects the splicing pattern in the breast cancer progenitor cells in which the tumor arose and suggests the utility of assays for Fox-mediated AS in cancer subtype definition and early detection. These data also suggest the possibility of reducing the toxicity of protein-targeted breast cancer treatments by targeting protein isoforms that are not present in limiting normal tissues.

Additional Information

© 2010 American Association for Cancer Research. Received 12/07/2009; revised 05/21/2010; accepted 06/01/2010; published OnlineFirst 07/06/2010. Grant Support: Director, Office of Science, Office of Biological & Environmental Research, of the U.S. Department of Energy under contract no. DE-AC02-05CH11231, USAMRMC W81XWH-07-1-0663 and NIH grants CA58207, CA112970, and CA 126477 (J.G. Conboy) by NIH grant HL045182 (J.W. Gray); and by the FCT SFRH/BD 33203 2007 (H. Pedro). Disclosure of Potential Conflicts of Interest: J.W. Gray received early access to microarrays from Affymetrix. The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Attached Files

Accepted Version - nihms212752.pdf

Supplemental Material - 10/1541-7786.MCR-09-0528.DC1/Supplementary_Data.pdf

Supplemental Material - 10/1541-7786.MCR-09-0528.DC1/Supplementary_Table_S1.xlsx

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Created:
August 19, 2023
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October 24, 2023