Clinical Trial Sequencing Project - Diffuse Large B-Cell Lymphoma

cancer genomic life sciences

Description

The goal of the project is to identify recurrent genetic alterations (mutations, deletions, amplifications, rearrangements) and/or gene expression signatures. National Cancer Institute (NCI) utilized whole genome sequencing and/or whole exome sequencing in conjunction with transcriptome sequencing. The samples were processed and submitted for genomic characterization using pipelines and procedures established within The Cancer Genome Analysis (TCGA) project.

Update Frequency

Genomic Data Commons (GDC) is source of truth for this dataset; GDC offers monthly data releases, although this dataset may not be updated at every release.

License

NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access-policies

Documentation

https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001175.v2.p2

Managed By

Center for Translational Data Science at The University of Chicago

See all datasets managed by Center for Translational Data Science at The University of Chicago.

Contact

dcf-support@datacommons.io

Usage Examples

Tools & Applications
Publications
  • A multiprotein supercomplex controlling oncogenic signalling in lymphoma by Phelan JD, Young RM, Webster DE, Roulland S, Wright GW, Kasbekar M, Shaffer AL 3rd, Ceribelli M, Wang JQ, Schmitz R, Nakagawa M, Bachy E, Huang DW, Ji Y, Chen L, Yang Y, Zhao H, Yu X, Xu W, Palisoc MM, Valadez RR, Davies-Hill T, Wilson WH, Chan WC, Jaffe ES, Gascoyne RD, Campo E, Rosenwald A, Ott G, Delabie J, Rimsza LM, Rodriguez FJ, Estephan F, Holdhoff M, Kruhlak MJ, Hewitt SM, Thomas CJ, Pittaluga S, Oellerich T, Staudt LM
  • Genetics and Pathogenesis of Diffuse Large B Cell Lymphoma by Roland Schmitz, Ph.D., George W. Wright, Ph.D., Da Wei Huang, M.D., Calvin A. Johnson, Ph.D., James D. Phelan, Ph.D., James Q. Wang, Ph.D., Sandrine Roulland, Ph.D., Monica Kasbekar, Ph.D., Ryan M. Young, Ph.D., Arthur L. Shaffer, Ph.D., Daniel J. Hodson, M.D., Ph.D., Wenming Xiao, Ph.D., et al.

Resources on AWS

  • Description
    RNA-Seq Gene Expression Quantification
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::gdc-ctsp-phs001175-2-open
    AWS Region
    us-east-1

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