Negative regulation of TOR signaling

pathway activity — cross-omics
GO:0032007Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Negative regulation of TOR signaling 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 SERBP1, LAMC1, and THBS3, 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, Negative regulation of TOR signaling activity versus SERBP1 in GBM (Pearson r = -0.38).

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
GBMSERBP1 →-0.220-0.031<.001<.00135
OVLAMC1 →+0.431+0.040<.001.00135
OVTHBS3 →+0.738+0.047<.001<.00135
LUADRCN3 →+0.458+0.028.004.00935
CCRCCSRPX2 →+0.743+0.025<.001.00635
CCRCCTHBS2 →+1.049+0.029<.001.00126
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0032007 vs SERBP1 — GBM

Per-sample scatter of Negative regulation of TOR signaling activity vs SERBP1 in GBM.

Explore this scatter interactively →

Exploration