IGFN1

protein abundance — cross-omics
Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, IGFN1 protein abundance is significantly associated with the RNA expression of many other genes, with 1,029 significant associations in total. OV shows the largest number of these associations.

The most reproducible IGFN1-associated genes across cancer lineages are AKAP6, HSPA9P1, and CYTH4. Each is linked with IGFN1 in more than 1 cancer types. Because this analysis shows association rather than direction, both IGFN1-to-partner and partner-to-IGFN1 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, IGFN1 versus AKAP6 in HNSC, with a Pearson correlation of 0.55.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (IGFN1→partner) and Y-score (partner→IGFN1) 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
HNSCAKAP6 →+0.885+0.774<.001.00132
OVHSPA9P1 →-1.486-1.056.001.00832
HNSCCYTH4 →+0.751+0.690.004.00331
HNSCSLC8A3 →+0.459+1.016.001.00131
HNSCDOK5 →+0.649+0.795.001<.00131
HNSCMYLK2 →+0.948+0.644.001.00731
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,029 associations by consensus.

IGFN1 vs AKAP6 — HNSC

Per-sample scatter of IGFN1 vs AKAP6 in HNSC (Pearson r = 0.55).

Explore this scatter interactively →

Exploration