INS-IGF2

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

Across TCGA patient cohorts, INS-IGF2 mutation is significantly associated with the RNA expression of many other genes, with 145 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible INS-IGF2-associated genes across cancer lineages are SNORD66, MED15P7, and RN7SKP286. Each is linked with INS-IGF2 in more than 1 cancer types. Because this analysis shows association rather than direction, both INS-IGF2-to-partner and partner-to-INS-IGF2 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, SNORD66 grouped by INS-IGF2-low versus INS-IGF2-high in SKCM.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (INS-IGF2→partner) and Y-score (partner→INS-IGF2) 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
SKCMSNORD66 →+0.397+3.953<.001.00532
SKCMMED15P7 →+0.031+4.282.009.00932
UCECRN7SKP286 →+0.087+5.060<.001.00132
UCECHSBP1P2 →+0.539+3.541.009.00731
UCECKIR3DL1 →+0.224+3.718.007.00331
SKCMRNU1-19P →+0.316+4.682<.001.00131
Each partner links to its Q-omics profile. Showing the 6 strongest of 145 associations by consensus.

SNORD66 by INS-IGF2 expression — SKCM

Box plot of SNORD66 in INS-IGF2-low vs INS-IGF2-high samples in SKCM.

Explore this box plot interactively →

Exploration