Positive regulation of glucose import

pathway activity — cross-omics
GO:0046326Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Positive regulation of glucose import pathway is significantly associated with the RNA expression of multiple genes, with the LSCC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are IRS2, AKAP12, and LMOD1, each associated with the pathway in up to 9 cancer types. Since the analysis shows associations rather than directional relationships, both pathway-to-partner and partner-to-pathway views are reported.

Each partner is linked to its corresponding Q-omics profile. The scatter plot shows the strongest association, Positive regulation of glucose import activity versus IRS2 in LSCC (Pearson r = 0.36).

Pathway-associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (pathway→partner) and Y-score (partner→pathway) are standardized regression coefficients; both directions are reported because the association is undirected. The reported p-values are derived from the association test.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
LSCCIRS2 →+1.177+0.808<.001<.00139
UCECAKAP12 →+0.826+0.648.007.00137
UCECLMOD1 →+1.174+0.590<.001<.00137
UCECMSRB3 →+1.111+0.626<.001<.00137
UCECCSRP1 →+1.001+0.695<.001.00136
COADHSPB7 →+0.922+0.965.008<.00136
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0046326 vs IRS2 — LSCC

Per-sample scatter of Positive regulation of glucose import activity vs IRS2 in LSCC.

Explore this scatter interactively →

Exploration