Regulation of cellular senescence

pathway activity — cross-omics
GO:2000772Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

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

The most reproducible pathway-associated genes across cancer lineages are PLGLB2, NDC80, and OR11H4, each associated with the pathway in up to 4 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 cellular senescence activity versus PLGLB2 in CCRCC (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
CCRCCPLGLB2 →+0.270+0.381.001.00934
GBMNDC80 →+0.570+0.537.003<.00134
LSCCOR11H4 →+0.570+0.595.002<.00133
UCECCCDC150 →+0.753+1.078<.001<.00133
UCECMTFR2 →+0.782+1.225<.001<.00133
COADWNT2 →+0.449+0.160.007.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:2000772 vs PLGLB2 — CCRCC

Per-sample scatter of Regulation of cellular senescence activity vs PLGLB2 in CCRCC.

Explore this scatter interactively →

Exploration