Regulation of cellular response to oxidative stress

pathway activity — cross-omics
GO:1900407Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of cellular response to oxidative stress 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 H3P43, RAB30, and TNS4, 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 response to oxidative stress activity versus H3P43 in GBM (Pearson r = 0.15).

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
GBMH3P43 →+0.762+0.158.005.00434
COADRAB30 →+0.303+0.126.008.00833
HNSCTNS4 →-0.588-0.224.009.00133
HNSCNXPE3 →+0.436+0.185.001.00733
CCRCCTTC3 →-0.289-0.167<.001.00533
CCRCCDDX11L10 →+0.068+0.162.001.00533
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:1900407 vs H3P43 — GBM

Per-sample scatter of Regulation of cellular response to oxidative stress activity vs H3P43 in GBM.

Explore this scatter interactively →

Exploration