SETD1B

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

Across TCGA patient cohorts, SETD1B mutation is significantly associated with the RNA expression of many other genes, with 2,579 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible SETD1B-associated genes across cancer lineages are MIR7843, S100A7L2, and RNA5SP447. Each is linked with SETD1B in more than 1 cancer types. Because this analysis shows association rather than direction, both SETD1B-to-partner and partner-to-SETD1B results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, MIR7843 grouped by SETD1B-low versus SETD1B-high in LIHC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SETD1B→partner) and Y-score (partner→SETD1B) 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
LIHCMIR7843 →+0.317+4.902<.001.00332
CESCS100A7L2 →+0.099+4.010<.001.00232
CESCRNA5SP447 →+0.269+4.201.001.00232
COADTMEM269 →+0.184+2.807.001.00332
SARCOR51A1P →+0.064+6.649<.001<.00132
CESCRNA5SP281 →+0.186+4.837<.001.00332
Each partner links to its Q-omics profile. Showing the 6 strongest of 2,579 associations by consensus.

MIR7843 by SETD1B expression — LIHC

Box plot of MIR7843 in SETD1B-low vs SETD1B-high samples in LIHC.

Explore this box plot interactively →

Exploration