NCI supported Clinical Proteomic Tumor Analysis Consortium (CPTAC), is a comprehensive and coordinated effort to accelerate the understanding of the molecular basis of cancer through the application of large-scale proteome (proteins) and genome (DNA and RNA) analysis technologies to different cancer types. CPTAC is composed of expertise in proteomics, genomics, cancer biology, oncology, and clinical chemistry, while creating open community resources that are widely used by the cancer community.

This page provides visualization of the networks estimated based on proteogenomic data from CPTAC-CCRCC discovery project. For more information, visit the CPTAC-CCRCC data portal.

Data Description

Co-expression network was constructed based on phospho-peptide data of 103 Clear Cell Renal Cell Carcinoma (ccRCC) samples. Phospho-peptide data involved 20,976 phospho-peptides mapping to 5,852 unique genes.


Enriched Pathways:

Network:   Module 21 (28 genes; mapping to 136 phospho-peptides)

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None Nodes with more than 10 edges All


Connected to:


Association with Clinical Variables * :

* The association with clinical variables was derived based on gene-level phospho-proteomics data


* Network layouts generated using iCAVE 1 , 2