Clinical Proteomic Tumor Analysis Consortium (CPTAC)

Clinical Proteomic Tumor Analysis Consortium (CPTAC)

The National Cancer Institute’s Clinical Proteomic Tumor Analysis Consortium (CPTAC) is a national effort to accelerate the understanding of the molecular basis of cancer through the application of large-scale proteome and genome analysis, or proteogenomics.

Program Description

CPTAC is a comprehensive and coordinated effort to accelerate the understanding of the molecular basis of cancer through the application of robust, quantitative, proteomic technologies and workflows. The overarching goal of CPTAC is to improve our ability to diagnose, treat and prevent cancer. To achieve this goal in a scientifically rigorous manner, the NCI launched CPTAC to systematically identify proteins that derive from alterations in cancer genomes and related biological processes, and provide this data with accompanying assays and protocols to the public.

CPTAC has provided the Genomic Data Commons (GDC) with genomic data from a total of 700+ cancer patients with diverse disease types including Endometrial, Renal, Lung Adenocarcinoma, Breast, Colon and Ovarian cancers. The GDC harmonized DNA sequences from CPTAC whole genome sequencing (WGS), whole exomes sequencing (WXS), and RNA sequences with the GRCh38 reference genome using GDC DNA-Seq Analysis Pipelines and mRNA Analysis Pipelines, respectively. The CPTAC harmonized genomic data is available in the GDC Data Portal. CPTAC makes proteomic data that are processed through the CPTAC Common Data analysis Pipeline (CDAP) available in the CPTAC Data Portal.

Data Overview

The CPTAC genomic data can be found on the GDC Data Portal. To request access to protected CPTAC data, please apply to dbGaP for access to the CPTAC 3 Study (study accession phs001287 – endometrial, lung and kidney cancers) or the CPTAC 2 Study (study accession phs000892 – ovarian, breast and colon cancers).

Browse the CPTAC Genomic Data in the GDC »

Browse the CPTAC Proteomic Data in CPTAC »

Apply to dbGaP »

Cancer Types

Data Types and Access Levels

Data Type Data Format # of Cases and Files Estimated File Size Data Access Level
Clinical and Biospecimen TSV,
JSON		 772 Cases N/A Open
WGS Aligned Reads BAM 421 Cases
1036 Files		 103.66 TB Controlled
WXS Aligned Reads BAM 755 Cases
1691 Files		 78.39 TB Controlled
WXS Raw Simple Somatic Mutations VCF 742 Cases
3723 Files (5 Callers)		 4.17 GB Controlled
WXS Annotated Somatic Mutations VCF 742 Cases
3723 Files (5 Callers)		 8.87 GB Controlled
RNA-Seq Aligned Reads BAM 757 Cases
2856 Files		 14.93 TB Controlled
Gene Expression Quantification TXT 757 Cases
3808 Files (4 Quantification Types)		 1.34 GB Open
Splice Junction Quantification TXT 757 Cases
952 Files		 2.87 GB Controlled
miRNA-Seq Aligned Reads BAM 767 Cases
960 Files		 267.29 GB Controlled
miRNA Expression Quantification TSV 767 Cases
960 Files		 48.36 MB Open
Isoform Expression Quantification TSV 767 Cases
960 Files		 699.74 MB Open
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