AGBL1

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

Across TCGA patient cohorts, AGBL1 mutation is significantly associated with the RNA expression of many other genes, with 1 significant associations in total. SCLC shows the largest number of these associations.

The most reproducible AGBL1-associated genes across cancer lineages are CXorf66. Each is linked with AGBL1 in more than 1 cancer types. Because this analysis shows association rather than direction, both AGBL1-to-partner and partner-to-AGBL1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, CXorf66 grouped by AGBL1-low versus AGBL1-high in SCLC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (AGBL1→partner) and Y-score (partner→AGBL1) 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
SCLCCXorf66 →+0.141+5.624<.001.00331
Each partner links to its Q-omics profile. Showing the 1 strongest of 1 associations by consensus.

CXorf66 by AGBL1 expression — SCLC

Box plot of CXorf66 in AGBL1-low vs AGBL1-high samples in SCLC.

Explore this box plot interactively →

Exploration