Angiogenesis involved in wound healing

pathway activity — cross-omics
GO:0060055Cross-omicsPROTEIN-MS → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Angiogenesis involved in wound healing pathway is significantly associated with the RNA expression of multiple genes, with the KIDNEY cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are SNX16, CAMKK2, and CCDC148, each associated with the pathway in up to 5 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, Angiogenesis involved in wound healing activity versus SNX16 in KIDNEY (Pearson r = 0.40).

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
KIDNEYSNX16 →+1.098+0.384.002.00134
BONECAMKK2 →-1.710-1.718<.001<.00125
CNSCCDC148 →+0.520+0.800.003.00834
LUNG_NSCLC_LUADKCNK1 →-1.791-1.158.009.00134
LUNG_NSCLC_LUADC1orf116 →-1.779-0.956.008.00234
LUNG_NSCLC_LUADTXNIP →-1.861-0.783.006.00234
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0060055 vs SNX16 — KIDNEY

Per-sample scatter of Angiogenesis involved in wound healing activity vs SNX16 in KIDNEY.

Explore this scatter interactively →

Exploration