Dataset Information

Combined Analysis of SNP Array Data Identifies Novel CNV Candidates and Pathways in Ependymoma and Mesothelioma.

ABSTRACT: Copy number variation is a class of structural genomic modifications that includes the gain and loss of a specific genomic region, which may include an entire gene. Many studies have used low-resolution techniques to identify regions that are frequently lost or amplified in cancer. Usually, researchers choose to use proprietary or non-open-source software to detect these regions because the graphical interface tends to be easier to use. In this study, we combined two different open-source packages into an innovative strategy to identify novel copy number variations and pathways associated with cancer. We used a mesothelioma and ependymoma published datasets to assess our tool. We detected previously described and novel copy number variations that are associated with cancer chemotherapy resistance. We also identified altered pathways associated with these diseases, like cell adhesion in patients with mesothelioma and negative regulation of glutamatergic synaptic transmission in ependymoma patients. In conclusion, we present a novel strategy using open-source software to identify copy number variations and altered pathways associated with cancer.

SUBMITTER: Wajnberg G

PROVIDER: S-EPMC4491549 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Combined Analysis of SNP Array Data Identifies Novel CNV Candidates and Pathways in Ependymoma and Mesothelioma.

Wajnberg Gabriel G Carvalho Benilton S BS Ferreira Carlos G CG Passetti Fabio F

BioMed research international 20150622

Copy number variation is a class of structural genomic modifications that includes the gain and loss of a specific genomic region, which may include an entire gene. Many studies have used low-resolution techniques to identify regions that are frequently lost or amplified in cancer. Usually, researchers choose to use proprietary or non-open-source software to detect these regions because the graphical interface tends to be easier to use. In this study, we combined two different open-source packag ...[more]

PMID: 26185765

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Project description:Background: The high incidence of recurrence and unpredictable clinical outcome for paediatric ependymoma reflect the imprecision of current therapeutic staging and need for novel risk stratification markers. Gain of chromosome 1q has been reported as a frequent aberration and correlate of adverse outcome in ependymoma. We therefore evaluated a prognostic role for 1q25 gain across three age-defined European clinical trial cohorts of paediatric intracranial ependymoma. Methods: The frequency of 1q gain in paediatric ependymoma was assessed across 51 tumours (42 primary, 9 recurrent) using Affymetrix® 500K SNP arrays. Gain of 1q25 was evaluated by interphase FISH (iFISH) across 189 primary intracranial ependymomas from children treated on the CCLG/SIOP CNS9204 (n = 60) and BBSFOP (n = 65) adjuvant chemotherapy trials, or with primary post-operative radiotherapy (SIOP CNS9904/RT group, n = 64). Results were correlated with clinical, histological and survival data. Findings: Gain of 1q was the most frequent imbalance in primary (7/42, 17 %) and recurrent ependymomas (3/9, 33 %). Gain of 1q25 was the strongest independent predictor of tumour progression in both CNS9204 (HR 3·36, p = 0·0009) and BBSFOP (HR 4·10, p = 0·0009) trial cohorts. In contrast, 1q25 gain was not prognostic for the older CNS9904/RT only group (PFS: p = 0·37, OS: p = 0·95). Clinical variables implicated in adverse outcome amongst cohorts included incomplete tumour resection and posterior fossa location. Interpretation: This is the first study to prospectively identify then validate a prognostic genomic marker for childhood ependymoma across independent prospective trial groups. 1q25 gain predicts progression in primary chemotherapy cohorts but not those treated by post-operative radiotherapy. We propose 1q25 gain is incorporated as an adverse marker into future European chemotherapeutic clinical trial design. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from flash frozen tumour specimens and patient-matched peripheral blood Copy number analysis of Affymetrix 500K SNP arrays was performed for DNA from 51 ependymomas and 40 constitutional DNA samples. Analysing broad genomic aberrations in 51 paediatric ependymomas, looking particularly at 1q gain.

Dataset Information

Combined Analysis of SNP Array Data Identifies Novel CNV Candidates and Pathways in Ependymoma and Mesothelioma.

Publications

Combined Analysis of SNP Array Data Identifies Novel CNV Candidates and Pathways in Ependymoma and Mesothelioma.

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