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Gene expression profile of extraskeletal myxoid chondrosarcoma.

ABSTRACT: Abstract: Extraskeletal myxoid chondrosarcoma (EMC) is a soft tissue tumour that occurs primarily in the extremities and is characterized by a balanced translocation most commonly involving t(9;22) (q22;q12). The morphological spectrum of EMC is broad and thus a diagnosis based on histology alone can be difficult. Currently, no systemic therapy exists that improves survival in patients with EMC. In the present study, gene expression profiling has been performed to discover new diagnostic markers and potential therapeutic targets for this tumour type. Global gene expression profiling of ten EMCs and 26 other sarcomas using 42,000 spot cDNA microarrays revealed that the cases of EMC were closely related to each other and distinct from the other tumours profiled. Significance analysis of microarrays (SAM) identified 86 genes that distinguished EMC from the other sarcomas with 0.25% likelihood of false significance. NMB, DKK1, DNER, CLCN3, and DEF6 were the top five genes in this analysis. In situ hybridization for NMB gene expression on tissue microarrays (TMAs) containing a total of 1164 specimens representing 62 different sarcoma types and 15 different carcinoma types showed that NMB was highly expressed in 17 of 22 EMC cases and very rarely expressed in other tumours and thus could function as a novel diagnostic marker. High levels of expression of PPARG and the gene encoding its interacting protein, PPARGC1A, in most EMCs suggest activation of lipid metabolism pathways in this tumour. Small molecule inhibitors for PPARG exist and PPARG could be a potential therapeutic target for EMC. An all pairs experiment design type is where all labeled extracts are compared to every other labeled extract. Keywords: all_pairs

ORGANISM(S): Homo sapiens

PROVIDER: GSE4303 | GEO | 2006/03/15

SECONDARY ACCESSION(S): PRJNA94685

REPOSITORIES: GEO

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Project description:Purpose: There is a quest for novel non-invasive diagnostic markers for the detection of breast cancer. The goal of this study is to identify circulating microRNA signatures using a cohort of Asian Chinese breast cancer patients, and to compare microRNA profiles between tumour and serum samples. Experimental design: MicroRNAs from paired breast cancer tumours, normal tissue and serum samples derived from 32 patients were comprehensively profiled using microarrays (1300 microRNAs against tumour and normal tissues) or LNA RT-PCR panels (742 microRNAs against serum samples). Serum samples from healthy individuals (n=22) were also employed as normal controls. Significant serum microRNAs, identified by logistic regression, were validated in an independent set of serum samples from patients (n=82) and healthy controls (n=53). Results: The 20 most significant microRNAs differentially expressed in breast cancer tumours included miR-21, miR-10b, and miR-145, previously shown to be dysregulated in breast cancer. Interestingly, 16 of the 20 most significant microRNAs differentially expressed in serum samples were novel. MiR-1, miR-92a, miR-133a and miR-133b were identified as the most important diagnostic markers, and were successfully validated; receiver operating characteristic curves derived from combinations of these microRNAs exhibited areas under the curves of 0.944-0.946. Only seven microRNAs were overexpressed in both tumours and serum, suggesting that microRNAs may be released into the serum selectively. Conclusion: The clinical employment of microRNA signatures as a non-invasive diagnostic strategy is promising, but should be further validated for different subtypes of breast cancers. "_A" and "_B" are two tissue sections of the same sample; "_1" and "_2" represents 2 runs of the same sample; na = not available All tissue samples were histologically confirmed by a pathologist using hematoxylin and eosin staining of cryosectioned specimens. One tumour sample was rejected due to failure to detect any tumour cells. Except for two samples (with 30% and 40% tumour cells), all tumour tissues employed had a minimum of 60% tumour cells, as estimated microscopically. Overall, the breast cancer tumour samples had an average of 71% tumour cells. The criteria for adjacent normal tissue were absence of tumour cells and presence of epithelial cells. Hence, after histological confirmation, 31 breast cancer tumours and 23 matched normal tissues were employed for microRNA extraction and profiling using microarray.

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Gene expression profile of extraskeletal myxoid chondrosarcoma.

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