Literature DB >> 10919664

Genome-wide search for loss of heterozygosity using laser capture microdissected tissue of breast carcinoma: an implication for mutator phenotype and breast cancer pathogenesis.

C Y Shen1, J C Yu, Y L Lo, C H Kuo, C T Yue, Y S Jou, C S Huang, J C Lung, C W Wu.   

Abstract

Breast cancer is considered to display a high degree of intratumor heterogeneity, without any obvious morphological and pathological steps to define sequential evolution, and its progression may vary among individual tumors. In an attempt to elucidate these etiological and phenotypic complexities, the present study, based on the fundamental concept that genomic instability is the engine of both tumor progression and tumor heterogeneity, was conducted to test the hypothesis that breast cancer pathogenesis is driven by double-strand break (DSB)-initiated chromosome instability (CIN). The rationale underlying this hypothesis is derived from the clues provided by family breast cancer syndromes, in which susceptibility genes, including p53, ATM, BRCA1 and BRCA2, are involved within the common functional pathway of DSB-related checkpoint/ repair. Because genomic deletion caused by DSB is reflected in the genetic mechanism of loss of heterozygosity (LOH), this genome-wide LOH study was conducted, using 100 tumors and 400 microsatellite markers. To minimize the effect of heterogeneity within tumors, the experimental technique of laser capture microdissection was used to ensure that genetic and phenotypic examinations were based on the same tumor cells. Support for our hypothesis comes from the observations that: (a) the extent of DSB-initiated CIN in tumors significantly increased as tumors progressed to poorer grades or later stages; (b) in the sequential steps toward CIN, the loci of p53 and ATM, the key checkpoint genes against DSB, were lost at the earliest stage; and (c) many loci identified to be important in breast tumorigenesis were the genomic sites possibly harboring the genes involved in DSB-related checkpoint/repair (including RAD51, RAD52, and BRCA1) or CIN (including FA-A, FA-D, and WRN), and a higher number of these loci showing LOH was significantly associated with increased level of DSB-initiated CIN (P < 0.0001). Breast cancers are thus considered to be sequentially progressive with CIN. However, CIN might also cause genetic heterogeneity, which was revealed by the findings that LOH at some markers was observed only in the component of ductal carcinoma in situ but not in the invasive component of the same tumors. In addition, some markers were found to preferentially lose at specific tumor grades, implying their contribution to genetic heterogeneity during tumor development. Therefore, this study suggests that breast cancer progression is clonal with regard to CIN, but different breast cancers would present distinct molecular profiles resulting from genetic heterogeneity caused by CIN.

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Year:  2000        PMID: 10919664

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  23 in total

1.  Genes involved in breast cancer progression: analysis of global changes in gene expression or retroviral tagging?

Authors:  Emmett V Schmidt
Journal:  Am J Pathol       Date:  2002-12       Impact factor: 4.307

2.  High-resolution chromosome 3p allelotyping of breast carcinomas and precursor lesions demonstrates frequent loss of heterozygosity and a discontinuous pattern of allele loss.

Authors:  A Maitra; I I Wistuba; C Washington; A K Virmani; R Ashfaq; S Milchgrub; A F Gazdar; J D Minna
Journal:  Am J Pathol       Date:  2001-07       Impact factor: 4.307

3.  RNF126 as a Biomarker of a Poor Prognosis in Invasive Breast Cancer and CHEK1 Inhibitor Efficacy in Breast Cancer Cells.

Authors:  Xiaosong Yang; You Pan; Zhaojun Qiu; Zhanwen Du; Yao Zhang; Pengyan Fa; Shashank Gorityala; Shanhuai Ma; Shunqiang Li; Ceshi Chen; Hongbing Wang; Yan Xu; Chunhong Yan; Keri Ruth; Zhefu Ma; Junran Zhang
Journal:  Clin Cancer Res       Date:  2018-01-11       Impact factor: 12.531

4.  Evaluation of intratumoral HER-2 heterogeneity by fluorescence in situ hybridization in invasive breast cancer: a single institution study.

Authors:  Sarah Lee; Woohee Jung; Soon-Won Hong; Ja Seung Koo
Journal:  J Korean Med Sci       Date:  2011-07-27       Impact factor: 2.153

5.  Frequent genetic differences between matched primary and metastatic breast cancer provide an approach to identification of biomarkers for disease progression.

Authors:  Andrzej B Popławski; Michał Jankowski; Stephen W Erickson; Teresita Díaz de Ståhl; E Christopher Partridge; Chiquito Crasto; Jingyu Guo; John Gibson; Uwe Menzel; Carl Eg Bruder; Aneta Kaczmarczyk; Magdalena Benetkiewicz; Robin Andersson; Johanna Sandgren; Barbara Zegarska; Dariusz Bała; Ewa Srutek; David B Allison; Arkadiusz Piotrowski; Wojciech Zegarski; Jan P Dumanski
Journal:  Eur J Hum Genet       Date:  2010-01-06       Impact factor: 4.246

Review 6.  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

Review 7.  Histopathological markers of treatment response and recurrence risk in ovarian cancers and borderline tumors.

Authors:  S Avril
Journal:  Pathologe       Date:  2017-11       Impact factor: 1.011

8.  Genomewide scan for loss of heterozygosity and chromosomal amplification in breast carcinoma using single-nucleotide polymorphism arrays.

Authors:  Maria Argos; Muhammad G Kibriya; Farzana Jasmine; Olufunmilayo I Olopade; Tao Su; Hanina Hibshoosh; Habibul Ahsan
Journal:  Cancer Genet Cytogenet       Date:  2008-04-15

9.  Pooled analysis of loss of heterozygosity in breast cancer: a genome scan provides comparative evidence for multiple tumor suppressors and identifies novel candidate regions.

Authors:  Brian J Miller; Daolong Wang; Ralf Krahe; Fred A Wright
Journal:  Am J Hum Genet       Date:  2003-09-16       Impact factor: 11.025

10.  Telomere-based crisis: functional differences between telomerase activation and ALT in tumor progression.

Authors:  Sandy Chang; Christine M Khoo; Maria L Naylor; Richard S Maser; Ronald A DePinho
Journal:  Genes Dev       Date:  2003-01-01       Impact factor: 11.361

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