RNASE1

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

Across TCGA patient cohorts, RNASE1 mutation is significantly associated with the RNA expression of many other genes, with 35 significant associations in total. SKCM shows the largest number of these associations.

The most reproducible RNASE1-associated genes across cancer lineages are RN7SKP146, RNA5SP92, and MIR7843. Each is linked with RNASE1 in more than 1 cancer types. Because this analysis shows association rather than direction, both RNASE1-to-partner and partner-to-RNASE1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, RN7SKP146 grouped by RNASE1-low versus RNASE1-high in SKCM.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (RNASE1→partner) and Y-score (partner→RNASE1) 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
SKCMRN7SKP146 →+0.155+5.254<.001.00132
SKCMRNA5SP92 →+0.304+4.680<.001.00732
CESCMIR7843 →+0.587+5.418<.001.00531
SKCMOR5B2 →+0.160+4.470<.001.00531
SKCMRNA5SP349 →+0.401+4.970<.001.00531
SKCMRNY4P7 →+0.660+5.302<.001.00131
Each partner links to its Q-omics profile. Showing the 6 strongest of 35 associations by consensus.

RN7SKP146 by RNASE1 expression — SKCM

Box plot of RN7SKP146 in RNASE1-low vs RNASE1-high samples in SKCM.

Explore this box plot interactively →

Exploration