SETD2

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

Across TCGA patient cohorts, SETD2 protein abundance is significantly associated with the RNA expression of many other genes, with 8,702 significant associations in total. GBM shows the largest number of these associations.

The most reproducible SETD2-associated genes across cancer lineages are IP6K2, DCAF1, and ATRIP. Each is linked with SETD2 in more than 6 cancer types. Because this analysis shows association rather than direction, both SETD2-to-partner and partner-to-SETD2 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, SETD2 versus IP6K2 in OV, with a Pearson correlation of 0.40.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SETD2→partner) and Y-score (partner→SETD2) 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
OVIP6K2 →+0.567+0.249<.001<.00137
UCECDCAF1 →+0.467+0.192<.001<.00136
BRCAATRIP →+0.467+0.180<.001<.00136
LSCCSMARCC1 →+0.733+0.215<.001<.00136
UCECDHX30 →+0.606+0.136<.001.00136
HNSCRPL32 →+0.918+0.281.005.00236
Each partner links to its Q-omics profile. Showing the 6 strongest of 8,702 associations by consensus.

SETD2 vs IP6K2 — OV

Per-sample scatter of SETD2 vs IP6K2 in OV (Pearson r = 0.40).

Explore this scatter interactively →

Exploration