RGR

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

Across TCGA patient cohorts, RGR protein abundance is significantly associated with the RNA expression of many other genes, with 27 significant associations in total. GBM shows the largest number of these associations.

The most reproducible RGR-associated genes across cancer lineages are KLK13, FGF20, and C11orf40. Each is linked with RGR in more than 1 cancer types. Because this analysis shows association rather than direction, both RGR-to-partner and partner-to-RGR results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, RGR versus KLK13 in GBM, with a Pearson correlation of 0.82.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (RGR→partner) and Y-score (partner→RGR) 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
GBMKLK13 →+0.135+1.183<.001.00531
GBMFGF20 →+0.623+0.463.004.00531
GBMC11orf40 →+0.390+1.176.003.00521
GBMALX1 →+0.280+0.463.001.00521
GBMOR2A4 →+0.180+0.554.004.00621
GBMSNAI2 →-0.913-0.423.009.00221
Each partner links to its Q-omics profile. Showing the 6 strongest of 27 associations by consensus.

RGR vs KLK13 — GBM

Per-sample scatter of RGR vs KLK13 in GBM (Pearson r = 0.82).

Explore this scatter interactively →

Exploration