CALCRL

protein abundance — cross-omics
Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, CALCRL protein abundance is significantly associated with the RNA expression of many other genes, with 14,617 significant associations in total. CCRCC shows the largest number of these associations.

The most reproducible CALCRL-associated genes across cancer lineages are GAPDHP59, TAL1, and ZNF385D. Each is linked with CALCRL in more than 5 cancer types. Because this analysis shows association rather than direction, both CALCRL-to-partner and partner-to-CALCRL results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, CALCRL versus GAPDHP59 in GBM, with a Pearson correlation of 0.77.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (CALCRL→partner) and Y-score (partner→CALCRL) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
GBMGAPDHP59 →+1.311+1.061<.001<.00136
CCRCCTAL1 →+1.106+0.671<.001<.00136
BRCAZNF385D →+0.804+0.357.002.00135
CCRCCEMCN →+1.515+0.597<.001<.00135
CCRCCCD34 →+0.819+0.543<.001<.00135
UCECADAMTS9-AS1 →+0.652+0.344.008<.00135
Each partner links to its Q-omics profile. Showing the 6 strongest of 14,617 associations by consensus.

CALCRL vs GAPDHP59 — GBM

Per-sample scatter of CALCRL vs GAPDHP59 in GBM (Pearson r = 0.77).

Explore this scatter interactively →

Exploration