MED17

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

Across TCGA patient cohorts, MED17 protein abundance is significantly associated with the RNA expression of many other genes, with 3,890 significant associations in total. GBM shows the largest number of these associations.

The most reproducible MED17-associated genes across cancer lineages are SETDB1, GOSR1, and LUC7L3. Each is linked with MED17 in more than 2 cancer types. Because this analysis shows association rather than direction, both MED17-to-partner and partner-to-MED17 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, MED17 versus SETDB1 in GBM, with a Pearson correlation of 0.48.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (MED17→partner) and Y-score (partner→MED17) 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
GBMSETDB1 →+0.391+0.337<.001<.00133
LUADGOSR1 →+0.310+0.233.001.00132
GBMLUC7L3 →+0.404+0.269.001.00223
LUADTMEM97 →+0.570+0.198.002.00932
LUADRSRC2 →+0.273+0.236<.001.00132
LUADPRKAB1 →+0.536+0.196<.001.00332
Each partner links to its Q-omics profile. Showing the 6 strongest of 3,890 associations by consensus.

MED17 vs SETDB1 — GBM

Per-sample scatter of MED17 vs SETDB1 in GBM (Pearson r = 0.48).

Explore this scatter interactively →

Exploration