IGF1

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

Across TCGA patient cohorts, IGF1 mutation is significantly associated with the RNA expression of many other genes, with 815 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible IGF1-associated genes across cancer lineages are RNU6-492P, NABP2, and PSMG3. Each is linked with IGF1 in more than 1 cancer types. Because this analysis shows association rather than direction, both IGF1-to-partner and partner-to-IGF1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, RNU6-492P grouped by IGF1-low versus IGF1-high in HNSC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (IGF1→partner) and Y-score (partner→IGF1) 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
HNSCRNU6-492P →+0.478+7.954<.001.00832
UCECNABP2 →+0.442+2.243.001.00632
SKCMPSMG3 →+0.589+3.328.003.00532
SKCMRPL29P32 →+0.023+4.315<.001.00532
LUSCMTND6P17 →+0.103+7.924<.001.00832
UCECHRAS →+0.568+3.823<.001<.00132
Each partner links to its Q-omics profile. Showing the 6 strongest of 815 associations by consensus.

RNU6-492P by IGF1 expression — HNSC

Box plot of RNU6-492P in IGF1-low vs IGF1-high samples in HNSC.

Explore this box plot interactively →

Exploration