Melanoma (MSKCC, NEJM 2014): Whole-exome sequencing of 64 pretreated (ipilimumab or tremelimumab) melanoma tumor-normal pairs

UID: 10568

Publisher(s): Memorial Sloan Kettering Cancer Center

Description: This dataset contains the summary data visualizations and clinical data of whole-exome sequencing of 64 pretreated melanoma tumor-normal pairs in 64 patients. Clinical data includes:Cancer Type, Mutation Count, Fraction Genome Altered, Age at Diagnosis, Sex, Tumor Site, Biopsy Time, CBSET B cells memory, CBSET B cells naive, CBSET Dendritic cells activated, CBSET Dendritic cells resting, CBSET Eosinophils, CBSET Macrophages M0, CBSET Macrophages M1, CBSET Macrophages M2, CBSET Mast cells activated, CBSET Mast cells resting, CBSET Monocytes. The plaintext components of the dataset can be downloaded as a tar file. The clinical data can be downloaded as a tsv file. The dataset includes copy-number segment data downloadable as .seg files and viewable via the Integrative Genomics Viewer.

Subject of Study

Subject(s)

OncoTree Cancer Type(s)

Acral Melanoma
Melanoma
Melanoma of Unknown Primary
Cutaneous Melanoma

Access via cBioPortal
Access Restrictions: Free to All
Access Instructions: This cBioPortal for Cancer Genomics dataset is publicly available for viewing in tables or, for copy-number segments, via integrated IGV application. The data is also available for download in its entirety as a tarball or as individual TSV (tab separated value) or SEG files. Some features are only available by logging in with a Google or Microsoft account. These features include storing your virtual studies and groups which allows you to access your studies and groups from any computer, and to allow cBioPortal to remember your study view charts preferences for each study (i.e. order of the charts, type of charts and visibility). Login is optional and not required to access any of the other features of cBioPortal.
Associated Publications: Snyder A, Makarov V, Merghoub T, et al. Genetic basis for clinical response to CTLA-4 blockade in melanoma. New England Journal of Medicine. 2014; 371(23):2189-2199.
Data Type: Genomic
Software Used: Integrative Genomics Viewer (IGV)
High-performance visualization tool for interactive exploration of large, integrated genomic datasets.
Dataset Format(s): TSV, TAR, SEG
Dataset Size: 10.1MB (TAR), 38 KB (TSV), 147 KB (SEG)

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