Identification and functional analysis of 9p24 amplified genes in human breast cancer
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Zeng-Quan Yang
PROVIDER: E-GEOD-28989 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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2011-04-07 | E-GEOD-22928 | biostudies-arrayexpress
Project description:Purpose: Hepatoblastoma (HB) is a malignant pediatric hepatic progenitor cell tumor with uncertain etiology. To discover genomic biomarkers associated with this malignancy, we conduct the study. Experimental Design: A panel of ten cases and two pairs of identical twins for HB were screened using high-resolution array-based comparative genomic hybridization (array CGH) technology. Genomic DNA from the peripheral blood was subject to our laboratory investigation. Results: In total of the twelve HB cases tested, we identified four high recurrent copy-number variations (CNVs) including gain on 1p13.3 (25%) and losses on 5p15.33 (33.3%), 16q12.2 (33.3%), and 19q13.42 (25%). Additionally, the twin study indicated that microdeletions of 3p12.1 and 12p13.2 correlated with hepatoblastoma occurrence. Among these candidate CNVs, 5p15.33 and 16q12.2 not only the most prevalent genomic deletion in this survey, but also encompassed hepatic expressed gene, Zinc finger, DHHC-type containing 11B (ZDHHC11B) and Zinc finger, DHHC-type containing 11 (ZDHHC11) map to 5p15.33; carboxylesterase 4-like (CES4) map to 16q12.2. Furthermore, the microdeletion of 5p15.33 was associated with high mortality rate (3/3; P = 0.018) in patients with native liver. Currently, the only surviving patient with 5p15.33 microdeletion is who has receipt liver transplantation. Conclusions: These results suggested that losses on 3p12.1, 5p15.33, 12p13.2 and 16q12.2 may be pathogenic for HB. In addition, HB patient who affected by 5p15.33 microdeletion seems to carry high risk of mortality unless undergo liver transplantation. Thus, 5p15.33 microdeletion was suggested as potential prognostic biomarker for poor survival in hepatoblastoma. A panel of ten cases and two pairs of identical twins for HB were screened using high-resolution array-based comparative genomic hybridization (array CGH). Genomic DNA from the peripheral blood was subject to our laboratory investigation. For array CGH experiment, we used commercial human male and female genomic DNA as control samples.In order to build up list of HB candidate CNVs, a strategy organized into two phases was designed. In phase one, the copy-number polymorphisms (CNPs) found in healthy control were excluded. Thus, two array hybridization experiments were performed with gender-matched DNA pools from healthy Taiwanese and Caucasian (Promega, Madison, WI, USA). Then the CNVs observed in these two arrays including microdeletions on 3q26.1, 4q13.2, 7q34, 9q33.2, 19q13.41, and Xp11.4, and amplification on 1p36.12, 1p22.1, 2p24.1, 7p22.3, 8q24.3, 9q34.11, 10q26.3, 11p15.4, 14q32.34, 17p11.2, 17q25.3, 19p13.3, 20q11.22, 21q22.3, 22q11.21, and 22q13.33 which were excluded from subsequent data analysis. We also excluded the CNVs observed in the healthy siblings of the two identical twins. In phase two, CNVs with altered patterns (i.e. gain or loss) that were inconsistent among patients were extracted from candidate list.
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2012-02-16 | E-GEOD-35865 | biostudies-arrayexpress
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2011-04-07 | E-GEOD-23056 | biostudies-arrayexpress
Project description:Title: Array-based gene expression, CGH and tissue data define a 12q24 gain in neuroblastic tumors with prognostic implication. Background: Neuroblastoma has successfully served as a model system for the identification of neuroectoderm-derived oncogenes. However, in spite of various efforts, only a few clinically useful prognostic markers have been found. Here, we present a framework, which integrates DNA, RNA and tissue data to identify and prioritize genetic events that represent clinically relevant new therapeutic targets and prognostic biomarkers for neuroblastoma. Methods: A single-gene resolution aCGH profiling was integrated with microarray-based gene expression profiling data to distinguish genetic copy number alterations that were strongly associated with transcriptional changes in two neuroblastoma cell lines. FISH analysis using a hotspot tumour tissue microarray of 37 paraffin-embedded neuroblastoma samples and in silico data mining for gene expression information obtained from previously published studies including up to 445 healthy nervous system samples and 123 neuroblastoma samples were used to evaluate the clinical significance and transcriptional consequences of the detected alterations and to identify subsequently activated gene(s). Results: In addition to the anticipated high-level amplification and subsequent overexpression of MYCN, MEIS1, CDK4 and MDM2 oncogenes, the aCGH analysis revealed numerous other genetic alterations, including microamplifications at 2p and 12q24.11. Most interestingly, we identified and investigated the clinical relevance of a previously poorly characterized amplicon at 12q24.31. FISH analysis showed low-level gain of 12q24.31 in 14 of 33 (42%) neuroblastomas. Patients with the low-level gain had an intermediate prognosis in comparison to patients with MYCN amplification (poor prognosis) and to those with no MYCN amplification or 12q24.31 gain (good prognosis) (P = 0.001). Using the in silico data mining approach, we identified elevated expression of five genes located at the 12q24.31 amplicon in neuroblastoma (DIABLO, ZCCHC8, RSRC2, KNTC1 and MPHOSPH9). Among these, DIABLO showed the strongest activation suggesting a putative role in neuroblastoma progression. Conclusions: The presented systematic and rapid framework, which integrates aCGH, gene expression and tissue data to obtain novel targets and biomarkers for cancer, identified a low-level gain of the 12q24.31 as a potential new biomarker for neuroblastoma progression. Furthermore, results of in silico data mining suggest a new neuroblastoma target gene, DIABLO, within this region, whose functional and therapeutic role remains to be elucidated in follow-up studies. High-resolution aCGH was utilized to identify novel genetic alterations in two neuroblastoma cell lines, NGP and IMR-32. Through the integration of gene copy number and gene expression data, the impact of copy number changes on expression levels was determined. Fluorescence in situ hybridization (FISH) on a tissue microarray (TMA) format was used to assess the clinical significance of the identified copy number increase at 12q24.31 in neuroblastoma patients. Finally, we used in silico data mining of publicly available transcriptomics data, to evaluate the transcriptional consequences of the detected 12q24.31 alteration and to identify subsequently activated gene(s). Here, aCGH of the NGP and IMR-32 cell lines was performed. Male genomic DNA was used as reference.
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2014-08-01 | E-GEOD-53801 | biostudies-arrayexpress
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