RECQL

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

Across TCGA patient cohorts, RECQL mutation is significantly associated with the RNA expression of many other genes, with 1,799 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible RECQL-associated genes across cancer lineages are SC4MOP, VN2R1P, and C1QTNF9-AS1. Each is linked with RECQL in more than 2 cancer types. Because this analysis shows association rather than direction, both RECQL-to-partner and partner-to-RECQL results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, SC4MOP grouped by RECQL-low versus RECQL-high in STAD.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (RECQL→partner) and Y-score (partner→RECQL) 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
STADSC4MOP →+0.136+3.963<.001.00333
BRCAVN2R1P →+0.051+5.211.001.00132
CESCC1QTNF9-AS1 →+0.118+5.103.005.00832
STADRNU6-234P →+0.325+5.217<.001<.00132
STADMIR495 →+0.352+3.562<.001.00732
STADLINC02779 →+0.329+4.031<.001.00332
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,799 associations by consensus.

SC4MOP by RECQL expression — STAD

Box plot of SC4MOP in RECQL-low vs RECQL-high samples in STAD.

Explore this box plot interactively →

Exploration