IRS1

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

Across TCGA patient cohorts, IRS1 protein abundance is significantly associated with the RNA expression of many other genes, with 12,165 significant associations in total. BRCA shows the largest number of these associations.

The most reproducible IRS1-associated genes across cancer lineages are EDA2R, PRSS23, and SFXN3. Each is linked with IRS1 in more than 5 cancer types. Because this analysis shows association rather than direction, both IRS1-to-partner and partner-to-IRS1 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, IRS1 versus EDA2R in UCEC, with a Pearson correlation of 0.28.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (IRS1→partner) and Y-score (partner→IRS1) 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
UCECEDA2R →+1.007+0.380.005.00226
BRCAPRSS23 →+1.508+0.482<.001.00526
OVSFXN3 →+0.742+0.441.001<.00135
BRCACDC25A →-0.810-0.456<.001.00235
UCECTIMP3 →+1.572+0.525<.001<.00134
LSCCSYDE1 →+0.739+0.528<.001<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest of 12,165 associations by consensus.

IRS1 vs EDA2R — UCEC

Per-sample scatter of IRS1 vs EDA2R in UCEC (Pearson r = 0.28).

Explore this scatter interactively →

Exploration