Regulation of reactive oxygen species metabolic process

pathway activity — cross-omics
GO:2000377Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of reactive oxygen species metabolic process 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 SETP10, KLHL23, and NUP35, each associated with the pathway in up to 7 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 reactive oxygen species metabolic process activity versus SETP10 in GBM (Pearson r = -0.31).

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
GBMSETP10 →-0.427-0.158.001<.00137
LSCCKLHL23 →-0.876-0.132<.001.00737
LSCCNUP35 →-0.476-0.121<.001.00137
LSCCVPS72 →-0.590-0.214.001<.00137
LSCCCCDC69 →+0.623+0.171.001<.00137
UCECCBX3 →-0.447-0.189.002<.00136
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:2000377 vs SETP10 — GBM

Per-sample scatter of Regulation of reactive oxygen species metabolic process activity vs SETP10 in GBM.

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Exploration