Regulation of cell-matrix adhesion

pathway activity — cross-omics
GO:0001952Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of cell-matrix adhesion pathway is significantly associated with the RNA expression of multiple genes, with the BRCA cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are SMAD9-IT1, MYL9, and KLHL4, each associated with the pathway in up to 3 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 cell-matrix adhesion activity versus SMAD9-IT1 in BRCA (Pearson r = 0.49).

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
BRCASMAD9-IT1 →+0.524+0.229.009.00833
BRCAMYL9 →+1.420+0.250<.001<.00132
BRCAKLHL4 →+0.371+0.239<.001.00232
BRCASRPX2 →+1.205+0.214<.001.00432
BRCAZNF423 →+1.037+0.207<.001.00532
BRCACRISPLD2 →+1.488+0.232<.001.00132
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0001952 vs SMAD9-IT1 — BRCA

Per-sample scatter of Regulation of cell-matrix adhesion activity vs SMAD9-IT1 in BRCA.

Explore this scatter interactively →

Exploration