RIT2

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

Across TCGA patient cohorts, RIT2 protein abundance is significantly associated with the RNA expression of many other genes, with 2,518 significant associations in total. GBM shows the largest number of these associations.

The most reproducible RIT2-associated genes across cancer lineages are SEZ6L, SEPTIN3, and KCNK10. Each is linked with RIT2 in more than 1 cancer types. Because this analysis shows association rather than direction, both RIT2-to-partner and partner-to-RIT2 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, RIT2 versus SEZ6L in GBM, with a Pearson correlation of 0.42.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (RIT2→partner) and Y-score (partner→RIT2) 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
GBMSEZ6L →+1.955+0.840<.001<.00131
GBMSEPTIN3 →+0.936+0.473<.001.00531
GBMKCNK10 →+0.852+0.702<.001<.00131
GBMSPRTN →+0.316+0.660<.001<.00131
GBMCPNE6 →+0.892+0.675<.001.00131
GBMNFKBIA →-0.696-0.662<.001<.00131
Each partner links to its Q-omics profile. Showing the 6 strongest of 2,518 associations by consensus.

RIT2 vs SEZ6L — GBM

Per-sample scatter of RIT2 vs SEZ6L in GBM (Pearson r = 0.42).

Explore this scatter interactively →

Exploration