Regulation of sulfur metabolic process

pathway activity — cross-omics
GO:0042762Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of sulfur metabolic process pathway is significantly associated with the protein abundance of multiple proteins, with the GBM cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are EEF2K_S445, CD44_S697, and TOPORS_S98, each associated with the pathway in up to 6 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 sulfur metabolic process activity versus EEF2K_S445 in GBM (Pearson r = -0.30).

Pathway-associated proteins 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 proteinX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
GBMEEF2K_S445 →-0.503-0.042.002.00336
CCRCCCD44_S697 →-0.486-0.054.002<.00135
GBMTOPORS_S98 →-0.361-0.066<.001<.00135
CCRCCPLIN2 →+0.785+0.054.001.00126
CCRCCSAMHD1_T592 →-0.766-0.061<.001<.00134
CCRCCSCAF4_S656 →-0.372-0.073<.001<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0042762 vs EEF2K_S445 — GBM

Per-sample scatter of Regulation of sulfur metabolic process activity vs EEF2K_S445 in GBM.

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Exploration