Regulation of cellular senescence

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

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

The most reproducible pathway-associated genes across cancer lineages are TAP1, HLA-B, and HLA-C, each associated with the pathway in up to 10 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 TAP1 in BLOOD_Lymphoma (Pearson r = 0.54).

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
BLOOD_LymphomaTAP1 →+1.488+0.234<.001<.001310
OESOPHAGUSHLA-B →+3.870+0.405.002<.00139
BLOOD_LeukemiaHLA-C →+1.998+0.215<.001<.00138
OESOPHAGUSB2M →+1.521+0.341.001.00137
PANCREASHLA-F →+2.867+0.328<.001<.00137
URINARY_TRACTBTN2A2 →+2.125+0.401.007.00436
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:2000772 vs TAP1 — BLOOD_Lymphoma

Per-sample scatter of Regulation of cellular senescence activity vs TAP1 in BLOOD_Lymphoma.

Explore this scatter interactively →

Exploration