GCHFR

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

Across TCGA patient cohorts, GCHFR mutation is significantly associated with the RNA expression of many other genes, with 16 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible GCHFR-associated genes across cancer lineages are RNASE11, RN7SKP104, and RNU6-99P. Each is linked with GCHFR in more than 1 cancer types. Because this analysis shows association rather than direction, both GCHFR-to-partner and partner-to-GCHFR results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, RNASE11 grouped by GCHFR-low versus GCHFR-high in SKCM.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (GCHFR→partner) and Y-score (partner→GCHFR) 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
SKCMRNASE11 →+0.024+7.816<.001.00831
SKCMRN7SKP104 →+0.099+7.816<.001.00831
SKCMRNU6-99P →+0.463+7.816<.001.00831
UCECMIR3180-4 →+0.275+4.641<.001.00631
UCECIGFL1P2 →+0.305+3.661.009.00931
SKCMRNU7-157P →+0.486+7.816<.001.00831
Each partner links to its Q-omics profile. Showing the 6 strongest of 16 associations by consensus.

RNASE11 by GCHFR expression — SKCM

Box plot of RNASE11 in GCHFR-low vs GCHFR-high samples in SKCM.

Explore this box plot interactively →

Exploration