ATG101

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

Across TCGA patient cohorts, ATG101 mutation is significantly associated with the RNA expression of many other genes, with 57 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible ATG101-associated genes across cancer lineages are RNU6-157P, CYP4F36P, and RNA5SP182. Each is linked with ATG101 in more than 1 cancer types. Because this analysis shows association rather than direction, both ATG101-to-partner and partner-to-ATG101 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, RNU6-157P grouped by ATG101-low versus ATG101-high in SKCM.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (ATG101→partner) and Y-score (partner→ATG101) 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
SKCMRNU6-157P →+0.407+5.292<.001.00632
SKCMCYP4F36P →+0.220+5.594<.001.00432
UCECRNA5SP182 →+0.699+4.292<.001.00632
SKCMOR4F28P →+0.074+5.224<.001.00732
SKCMRNU6-161P →+0.503+5.513<.001.00431
SKCMRNU6-899P →+0.474+5.362<.001.00531
Each partner links to its Q-omics profile. Showing the 6 strongest of 57 associations by consensus.

RNU6-157P by ATG101 expression — SKCM

Box plot of RNU6-157P in ATG101-low vs ATG101-high samples in SKCM.

Explore this box plot interactively →

Exploration