Dataset Information

Integrative analysis of the melanoma transcriptome.

ABSTRACT: Global studies of transcript structure and abundance in cancer cells enable the systematic discovery of aberrations that contribute to carcinogenesis, including gene fusions, alternative splice isoforms, and somatic mutations. We developed a systematic approach to characterize the spectrum of cancer-associated mRNA alterations through integration of transcriptomic and structural genomic data, and we applied this approach to generate new insights into melanoma biology. Using paired-end massively parallel sequencing of cDNA (RNA-seq) together with analyses of high-resolution chromosomal copy number data, we identified 11 novel melanoma gene fusions produced by underlying genomic rearrangements, as well as 12 novel readthrough transcripts. We mapped these chimeric transcripts to base-pair resolution and traced them to their genomic origins using matched chromosomal copy number information. We also used these data to discover and validate base-pair mutations that accumulated in these melanomas, revealing a surprisingly high rate of somatic mutation and lending support to the notion that point mutations constitute the major driver of melanoma progression. Taken together, these results may indicate new avenues for target discovery in melanoma, while also providing a template for large-scale transcriptome studies across many tumor types.

SUBMITTER: Berger MF

PROVIDER: S-EPMC2847744 | biostudies-literature | 2010 Apr

REPOSITORIES: biostudies-literature

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Integrative analysis of the melanoma transcriptome.

Berger Michael F MF Levin Joshua Z JZ Vijayendran Krishna K Sivachenko Andrey A Adiconis Xian X Maguire Jared J Johnson Laura A LA Robinson James J Verhaak Roel G RG Sougnez Carrie C Onofrio Robert C RC Ziaugra Liuda L Cibulskis Kristian K Laine Elisabeth E Barretina Jordi J Winckler Wendy W Fisher David E DE Getz Gad G Meyerson Matthew M Jaffe David B DB Gabriel Stacey B SB Lander Eric S ES Dummer Reinhard R Gnirke Andreas A Nusbaum Chad C Garraway Levi A LA

Genome research 20100223 4

Global studies of transcript structure and abundance in cancer cells enable the systematic discovery of aberrations that contribute to carcinogenesis, including gene fusions, alternative splice isoforms, and somatic mutations. We developed a systematic approach to characterize the spectrum of cancer-associated mRNA alterations through integration of transcriptomic and structural genomic data, and we applied this approach to generate new insights into melanoma biology. Using paired-end massively ...[more]

PMID: 20179022

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Project description:ImportanceGreater understanding of molecular features of conjunctival melanoma (CM) may improve its clinical management.ObjectiveTo evaluate molecular features of CM and application of this information into clinical care.Design, setting, and participantsIn a prospective case series of CM with integrative exome and transcriptome analysis, 8 patients at an academic ocular oncology setting were evaluated. The study was conducted from November 2015 to March 2018.Interventions/exposuresIntegrative exome and transcriptome analysis of CMs and clinical management of a patient's care by using this information.Main outcomes and measuresMolecular characterization of CM and its potential clinical application.ResultsIn the 8 patients (4 men) included in analysis, 4 subgroups of CM were observed, including the BRAF V600E mutation in 1 tumor, NRAS Q61R mutation in 3 tumors, NF1 mutations (Q1188X, R440X, or M1215K+ S15fs) in 3 tumors, and triple-wild type (triple-WT) in 1 tumor. The triple-WT case had CCND1 amplification and mutation in the CIC gene (Q1508X). Five tumors, including the triple-WT, also harbored mutations in MAPK genes. In addition to the genes linked to mitogen-activated protein kinase and phosphoinositol 3-kinase pathways, those involved in cell cycle and/or survival, ubiquitin-mediated protein degradation, and chromatin remodeling/epigenetic regulation (ATRX being the most frequently mutated: noted in 5 tumors) may play an important role. Other frequently mutated genes included PREX2 (n = 3), APOB (n = 4), and RYR1/2 (n = 4), although their relevance remains to be determined. The mutation burden ranged from 1.1 to 15.6 mutations per megabase (Mut/Mb) and was 3.3 Mut/Mb or less in 3 tumors and more than 10 Mut/Mb in 2 tumors. A patient with a large tumor and BRAF V600E mutation was treated with combined systemic BRAF (dabrafenib) and MEK (trametinib) inhibitors. After 3 months of therapy, her CM responded substantially and the residual tumor was removed by local surgical excision.Conclusions and relevanceThe NRAS Q61R and NF1 mutations were more common than the BRAF V600E mutation in this series. Although small tumors (where incisional biopsy is not indicated) are treated with surgical excision regardless of mutational profile, in large tumors carrying the BRAF V600E mutation, neoadjuvant therapy with combined systemic BRAF and MEK inhibitors followed by local excision may be used as an alternative to exenteration. Integrative omics analysis of CM may be informative and guide clinical management and treatment in selected cases.

Project description:Monitoring global gene expression provides insight into how genes and regulatory signals work together to guide embryo development. The fields of developmental biology and teratology are now confronted with the need for automated access to a reference library of gene-expression signatures that benchmark programmed (genetic) and adaptive (environmental) regulation of the embryonic transcriptome. Such a library must be constructed from highly-distributed microarray data. Birth Defects Systems Manager (BDSM), an open access knowledge management system, provides custom software to mine public microarray data focused on developmental health and disease. The present study describes tools for seamless data integration in the BDSM library (MetaSample, MetaChip, CIAeasy) using the QueryBDSM module. A field test of the prototype was run using published microarray data series derived from a variety of laboratories, experiments, microarray platforms, organ systems, and developmental stages. The datasets focused on several developing systems in the mouse embryo, including preimplantation stages, heart and nerve development, testis and ovary development, and craniofacial development. Using BDSM data integration tools, a gene-expression signature for 346 genes was resolved that accurately classified samples by organ system and developmental sequence. The module builds a potential for the BDSM approach to decipher a large number developmental processes through comparative bioinformatics analysis of embryological systems at-risk for specific defects, using multiple scenarios to define the range of probabilities leading from molecular phenotype to clinical phenotype. We conclude that an integrative analysis of global gene-expression of the developing embryo can form the foundation for constructing a reference library of signaling pathways and networks for normal and abnormal regulation of the embryonic transcriptome. These tools are available free of charge from the web-site http://systemsanalysis.louisville.edu requiring only a short registration process.

Dataset Information

Integrative analysis of the melanoma transcriptome.

Publications

Integrative analysis of the melanoma transcriptome.

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