Literature DB >> 11279343

Detection of gene amplification in intraductal and infiltrating breast cancer by laser-assisted microdissection and quantitative real-time PCR.

S Glöckner1, U Lehmann, N Wilke, W Kleeberger, F Länger, H Kreipe.   

Abstract

Gene amplification is one essential mechanism leading to oncogene activation which is supposed to play a major role in the pathogenesis of invasive breast cancer. However, using standard methodologies the detection of gene amplifications has been limited especially in small-sized lesions, like pre-invasive precursor lesions. The combination of two novel technologies, laser-based microdissection and quantitative real-time PCR, facilitates the detection of low-level amplifications in morphologically defined lesions. As a model system we investigated in situ breast cancer (ductal carcinoma in situ, DCIS) classified according to the morphology-based Van Nuys grading system for amplification of growth-regulatory genes. In this study 83 formalin-fixed, paraffin-embedded archival DCIS specimens were examined after laser-based microdissection by quantitative real-time PCR using the TaqMan detection system for amplification of the c-erbB2, topoisomerase IIalpha, c-myc and cyclinD1 gene. In a subset of 17 DCIS with adjacent infiltrating tumour components we compared intraductal and invasive tumour components in parallel for differences in amplification status. The combination of these new techniques represents an excellent tool to gain new insights into carcinogenesis by analyzing genetic alterations in morphologically identified heterogeneous lesions in breast cancer progression within the very same specimen or even tissue slide. Copyright 2001 S. Karger AG, Basel

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Year:  2000        PMID: 11279343     DOI: 10.1159/000055920

Source DB:  PubMed          Journal:  Pathobiology        ISSN: 1015-2008            Impact factor:   4.342


  3 in total

Review 1.  Laser capture microdissection and advanced molecular analysis of human breast cancer.

Authors:  Andrew P Fuller; Darryl Palmer-Toy; Mark G Erlander; Dennis C Sgroi
Journal:  J Mammary Gland Biol Neoplasia       Date:  2003-07       Impact factor: 2.673

2.  c-myc, not her-2/neu, can predict the prognosis of breast cancer patients: how novel, how accurate, and how significant?

Authors:  Fernando C Schmitt; Jorge S Reis-Filho
Journal:  Breast Cancer Res       Date:  2003-04-24       Impact factor: 6.466

3.  In Silico cancer cell versus stroma cellularity index computed from species-specific human and mouse transcriptome of xenograft models: towards accurate stroma targeting therapy assessment.

Authors:  Xinan Yang; Yong Huang; Younghee Lee; Vincent Gardeux; Ikbel Achour; Kelly Regan; Ellen Rebman; Haiquan Li; Yves A Lussier
Journal:  BMC Med Genomics       Date:  2014-05-08       Impact factor: 3.063

  3 in total

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