Candidate genes in breast cancer revealed by microarray-based comparative genomic hybridization of archived tissue (original) (raw)

Patterns of chromosomal imbalances defines subgroups of breast cancer with distinct clinical features and prognosis. A study of 305 tumors by comparative genomic hybridization

Cancer research, 2003

Chromosomal copy number aberrations (CNAs) are common in breast cancer and involve genomic regions in a frequency and combination, suggesting distinct routes of tumor development. We studied chromosomal gains (+) and losses (-) by comparative genomic hybridization from a series of 305 unselected primary invasive breast cancers. CNAs were observed in >90% of the tumors and involved all chromosomal arms in various frequencies, the most common being +1q (55%), +8q (41%), +16p (40%), +17q (28%), -13q (27%), -16q (22%), +20q (19%), -8p (18%), and +11q (16%). Eighteen pairs of CNAs were revealed as significantly associated using Fisher's exact test with Bonferroni correction, the most common pairs being -8p/+8q, +17q/+20q, and -4q/-13q. To study more complex relationships between individual CNAs, principal component analysis and distance-based tree modeling were performed independently. Three distinct patterns of CNAs were observed. Group A was defined by +1q, +16p, and -16q, group...

Whole Genome Microarray Analysis In Invasive Ductal Breast Cancer Revealed The Most Significant Changes Affect Chromosomes 1, 8, 17 And 20

2015

Despite of the large number of molecular studies in breast cancer, the data are still insufficient for understanding its molecular pathogenesis. The dramatic development of genetics in recent years has made it possible to gain insight into the molecular mechanisms of tumorigenesis. The aims of the study was to determine the type, frequency and fine mapping of unbalanced genomic alterations in ductal carcinoma of the breast. For this study we have used tumor samples of invasive ductal breast cancer to be analysed by comparative genomic hybridization on DNA microarrays. Two approaches were applied in the analysis of significant unbalanced genomic changes: a) identification of clones which presented unbalanced changes (log2 T: H> +0.25 for gain and <-0.25 for losses) in more than 70% of the tumors; b) establishing clones which harbor amplifications (log2 T: H> +0.5) or homozygous deletions (log2 T: H <- 0.5) in more than 50% of tumors. Our results showed that the most commo...

Comparative genomic hybridization of formalin-fixed, paraffin-embedded breast tumors reveals different patterns of chromosomal gains and losses in fibroadenomas and diploid and aneuploid carcinomas

Cancer research, 1995

Comparative genomic hybridization serves as a screening test for regions of copy number changes in tumor genomes. We have applied the technique to map DNA gains and losses in 33 cases of formalin-fixed, paraffin-embedded primary breast tumors (13 fibroadenomas and 10 diploid and 10 aneuploid carcinomas). No genomic imbalances were found in fibroadenomas. Recurrent findings in adenocarcinomas include copy number increases for chromosomes 1q (14 of 20 samples), 8q (10 of 20), 17q (5 of 20), 6p (3 of 20), 13q (3 of 20), and 16p (3 of 20), and copy number decreases for chromosomes 22 (7 of 20), 17p (6 of 20), and 20 (3 of 20). Regional high level copy number increases were observed on chromosome bands 1q32, 8p11, 8q24, 10p, 11q13, 12p, 12q15, 17q11-12, and 17q22-24. The majority of the samples were studied for gene amplification of c-myc, c-erbB2, cycD1, and int-2 by means of Southern blot analysis. The comparison with DNA ploidy measurements revealed a different distribution and a sign...

Molecular Characterization of Breast Cancer with High-Resolution Oligonucleotide Comparative Genomic Hybridization Array

Clinical Cancer Research, 2009

Purpose: We used high-resolution oligonucleotide comparative genomic hybridization (CGH) arrays and matching gene expression array data to identify dysregulated genes and to classify breast cancers according to gene copy number anomalies. Experimental Design: DNA was extracted from 106 pretreatment fine needle aspirations of stage II-III breast cancers that received preoperative chemotherapy. CGH was done using Agilent Human 4 Â 44K arrays. Gene expression data generated with Affymetrix U133A gene chips was also available on 103 patients. All P values were adjusted for multiple comparisons.

Detection and mapping of amplified DNA sequences in breast cancer by comparative genomic hybridization

Proceedings of the National Academy of Sciences, 1994

Comparative genomic hybridization was applied to 5 breast cancer cell lHes and 33 primary tumors to discover and map regions of the genome with increased DNAsequence copy-number. Two-thirds of primary tumors and almost all cell lines showed increased DNA-sequence copynumber affecting a total of 26 chromosomal subregions. Most of these loci were distinct from those of currently known amplified genes in breast cancer, with sequences originating from 17q22-q24 and 20q13 showing the highest frequency of amplification. The results indicate that these chromosomal regions may contain previously unknown genes whose increased expression contributes to breast cancer progression.

DNA Copy Number Aberrations in Breast Cancer by Array Comparative Genomic Hybridization

Genomics, Proteomics & Bioinformatics, 2009

Array comparative genomic hybridization (CGH) has been popularly used for analyzing DNA copy number variations in diseases like cancer. In this study, we investigated 82 sporadic samples from 49 breast cancer patients using 1-Mb resolution bacterial artif icial chromosome CGH arrays. A number of highly frequent genomic aberrations were discovered, which may act as "drivers" of tumor progression. Meanwhile, the genomic prof iles of four "normal" breast tissue samples taken at least 2 cm away from the primary tumor sites were also found to have some genomic aberrations that recurred with high frequency in the primary tumors, which may have important implications for clinical therapy. Additionally, we performed class comparison and class prediction for various clinicopathological parameters, and a list of characteristic genomic aberrations associated with dif ferent clinicopathological phenotypes was compiled. Our study provides clues for further investigations of the underlying mechanisms of breast carcinogenesis.

Genome profiling of breast cancer cells selected against in vitro shows copy number changes

Genes Chromosomes & Cancer, 2002

About 20% of breast carcinomas show no clonal chromosome abnormalities when analyzed after short-term culturing. An interesting question is whether this subset of breast carcinomas really is karyotypically normal or if selection for normal cells occurred in vitro. To address this issue, 26 breast carcinomas that had shown no cytogenetic changes by chromosome banding analysis were examined by comparative genomic hybridization (CGH), a technique that does not require culturing or tumor metaphase cells. All but one case showed copy number changes by CGH (median, four). A comparison of these findings with those of a karyotypically abnormal series analyzed using the same CGH protocol found that the cytogenetically “normal” cases were typically genetically less complex (median, four and eight, respectively; P = 0.0058). Although largely the same alterations were found in both series, some differences with respect to the frequencies of specific imbalances were seen. Gains of 3p and 6q and losses of 10q, 14q, and 17p more often were found in the cytogenetically abnormal series than in the normal tumors. We conclude that in most instances cells found to be normal by chromosome banding analysis after short-term culture do not belong to the tumor parenchyma. Furthermore, when we compared the distribution of the number of imbalances detected by CGH in the total data set according to the mitotic index in vivo (scored from 1 to 3), the median values were three, seven, and 18, respectively (P < 0.001). These data indicate not only that karyotypically normal breast carcinomas may represent a genetically simpler subgroup that grows poorly in vitro but also that this subset of tumors already has a slow growth rate in vivo. © 2002 Wiley-Liss, Inc.

Chromosomal imbalances mapped by array-based comparative genomic hybridization in an integrated approach to combat breast cancer in Denmark

Breast Cancer Research

There is compelling evidence from transgenic mouse studies and analysis of mutations in human carcinomas indicating that the TGF-β signal transduction pathway is tumor suppressive. We have shown that overexpression of TGF-β1 in mammary epithelial cells suppresses the development of carcinomas and that expression of a dominant negative type II TGF-β receptor (DNIIR) in mammary epithelial cells under control of the MMTV promoter/enhancer increases the incidence of mammary carcinomas. Studies of human tumors have demonstrated inactivating mutations in human tumors of genes encoding proteins involved in TGF-β signal transduction, including DPC4/Smad4, Smad2, and the type II TGF-β receptor (TβRII). There is also evidence that TGF-β can enhance the progression of tumors. This hypothesis is being tested in genetically modified mice. To attain complete loss of TβRII, we have generated mice with loxP sites flanking exon 2 of Tgfbr2 and crossed them with mice expressing Cre recombinase under control of the MMTV promoter/enhancer to obtain Tgfbr2 mgKO mice. These mice show lobuloalveolar hyperplasia. Mice are being followed for mammary tumor development. Tgfbr2 mgKO mice that also express polyoma virus middle T antigen under control of the MMTV promoter (MMTV-PyVmT) develop mammary tumors with a significantly shorter latency than MMTV-PyVmT mice and show a marked increase in pulmonary metastases. Our data do not support the hypothesis that TGF-β signaling in mammary carcinoma cells is important for invasion and metastasis, at least in this model system. The importance of stromal-epithelial interactions in mammary gland development and tumorigenesis is well established. These interactions probably involve autocrine and paracrine action of multiple growth factors, including members of the TGF-β family, which are expressed in both stroma and epithelium. Again, to accomplish complete knockout of the type II TGF-β receptor gene in mammary stromal cells, FSP1-Cre and Tgfbr2 flox/flox mice were crossed to attain Tgfbr2 fspKO mice. The S.03 Genomic analysis of human breast cancer in families and populations

Using array-comparative genomic hybridization to define molecular portraits of primary breast cancers

Oncogene, 2007

We analysed 148 primary breast cancers using BAC-arrays containing 287 clones representing cancer-related gene/loci to obtain genomic molecular portraits. Gains were detected in 136 tumors (91.9%) and losses in 123 tumors (83.1%). Eight tumors (5.4%) did not have any genomic aberrations in the 281 clones analysed. Common (more than 15% of the samples) gains were observed at 8q11-qtel, 1q21-qtel, 17q11-q12 and 11q13, whereas common losses were observed at 16q12-qtel, 11ptel-p15.5, 1p36-ptel, 17p11.2-p12 and 8ptel-p22. Patients with tumors registering either less than 5% (median value) or less than 11% (third quartile) total copy number changes had a better overall survival (log-rank test: P ¼ 0.0417 and P ¼ 0.0375, respectively). Unsupervised hierarchical clustering based on copy number changes identified four clusters. Women with tumors from the cluster with amplification of three regions containing known breast oncogenes (11q13, 17q12 and 20q13) had a worse prognosis. The good prognosis group (Nottingham Prognostic Index (NPI) p3.4) tumors had frequent loss of 16q24-qtel. Genes significantly associated with estrogen receptor (ER), Grade and NPI were used to build k-nearest neighbor (KNN) classifiers that predicted ER, Grade and NPI status in the test set with an average misclassification rate of 24.7, 25.7 and 35.7%, respectively. These data raise the prospect of generating a molecular taxonomy of breast cancer based on copy number profiling using tumor DNA, which may be more generally applicable than expression microarray analysis.