Regulation of anoikis

pathway activity — cross-omics
GO:2000209Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of anoikis pathway is significantly associated with the RNA expression of multiple genes, with the GBM cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are PLCH2, KCNQ5, and MIR4282, 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, Regulation of anoikis activity versus PLCH2 in GBM (Pearson r = -0.37).

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
GBMPLCH2 →-0.879-0.271<.001.00135
HNSCKCNQ5 →+0.830+0.153.001.00133
HNSCMIR4282 →+1.133+0.130.001.00133
BRCASNCG →-1.485-0.217<.001.00133
GBMZSCAN5A →+0.422+0.302<.001<.00133
GBMPVT1 →+0.632+0.286.002.00533
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:2000209 vs PLCH2 — GBM

Per-sample scatter of Regulation of anoikis activity vs PLCH2 in GBM.

Explore this scatter interactively →

Exploration