RANGRF

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

Across TCGA patient cohorts, RANGRF mutation is significantly associated with the RNA expression of many other genes, with 39 significant associations in total. SKCM shows the largest number of these associations.

The most reproducible RANGRF-associated genes across cancer lineages are MTND3P22, RNU6-857P, and RNU6-557P. Each is linked with RANGRF in more than 1 cancer types. Because this analysis shows association rather than direction, both RANGRF-to-partner and partner-to-RANGRF results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, MTND3P22 grouped by RANGRF-low versus RANGRF-high in SKCM.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (RANGRF→partner) and Y-score (partner→RANGRF) 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
SKCMMTND3P22 →+0.300+5.436<.001.00532
SKCMRNU6-857P →+0.255+5.224.003.00731
SKCMRNU6-557P →+0.359+5.513<.001.00431
SKCMHSPE1P20 →+0.288+5.771<.001.00331
SKCMMTCYBP27 →+0.051+6.328<.001.00131
SKCMGARS1P1 →+0.043+4.979.008.00931
Each partner links to its Q-omics profile. Showing the 6 strongest of 39 associations by consensus.

MTND3P22 by RANGRF expression — SKCM

Box plot of MTND3P22 in RANGRF-low vs RANGRF-high samples in SKCM.

Explore this box plot interactively →

Exploration