RGS16

mutation — cross-omics
Cross-omicsMUTATION → PROTEIN-RPPAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RGS16 mutation is significantly associated with the total protein of many other genes, with 17 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible RGS16-associated genes across cancer lineages are 14-3-3_beta, p90 RSK, and Shc_pY317. Each is linked with RGS16 in more than 1 cancer types. Because this analysis shows association rather than direction, both RGS16-to-partner and partner-to-RGS16 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, 14-3-3_beta grouped by RGS16-low versus RGS16-high in UCEC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (RGS16→partner) and Y-score (partner→RGS16) 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
UCEC14-3-3_beta →-0.141-2.986.015.03731
UCECp90 RSK →+0.236+3.013.033.01931
UCECShc_pY317 →-0.306-2.999<.001.03531
UCECSTAT3_pY705 →-0.451-2.990.002.03631
UCECCD31 →-0.179-3.000.035.03731
UCECCyclin-E2 →+0.261+2.817.007.03631
Each partner links to its Q-omics profile. Showing the 6 strongest of 17 associations by consensus.

14-3-3_beta by RGS16 expression — UCEC

Box plot of 14-3-3_beta in RGS16-low vs RGS16-high samples in UCEC.

Explore this box plot interactively →

Exploration