Positive regulation of protein import into nucleus

pathway activity — cross-omics
GO:0042307Cross-omicsRNA → RNAPatientPairwise association · TCGA cohorts

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

The most reproducible pathway-associated genes across cancer lineages are AKAP13, TET3, and MED13L, each associated with the pathway in up to 32 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 protein import into nucleus activity versus AKAP13 in SCLC (Pearson r = 0.38).

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
SCLCAKAP13 →+1.137+0.088<.001<.001332
DLBCTET3 →+1.438+0.075<.001<.001332
DLBCMED13L →+1.440+0.081<.001<.001331
DLBCZBTB1 →+1.167+0.082<.001<.001331
DLBCNOTCH2 →+1.454+0.077<.001<.001331
DLBCATM →+1.482+0.080<.001<.001331
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0042307 vs AKAP13 — SCLC

Per-sample scatter of Positive regulation of protein import into nucleus activity vs AKAP13 in SCLC.

Explore this scatter interactively →

Exploration