Regulation of kidney size

pathway activity — cross-omics
GO:0035564Cross-omicsRNA → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of kidney size 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 ASXL1, NOL4L, and PLXNA3, each associated with the pathway in up to 19 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, Regulation of kidney size activity versus ASXL1 in SCLC (Pearson r = -0.04).

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
SCLCASXL1 →+0.815+0.373<.001<.001319
ESCANOL4L →+1.146+0.079<.001<.001317
SCLCPLXNA3 →+1.165+0.427<.001.001315
DLBCNCOA6 →+0.757+0.130<.001<.001315
DLBCATP11A →+1.104+0.120<.001<.001315
DLBCTRPC4AP →+0.668+0.157<.001<.001314
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0035564 vs ASXL1 — SCLC

Per-sample scatter of Regulation of kidney size activity vs ASXL1 in SCLC.

Explore this scatter interactively →

Exploration