Eating behavior

pathway activity — cross-omics
GO:0042755Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Eating behavior 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 SNX16_S83, SRSF9, and YTHDF3_S385, 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, Eating behavior activity versus SNX16_S83 in GBM (Pearson r = 0.17).

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
GBMSNX16_S83 →+0.403+0.067.004.00234
GBMSRSF9 →-0.358-0.055<.001.00234
BRCAYTHDF3_S385 →-0.837-0.066.009.00434
GBMCMTR1 →-0.259-0.057.007.00734
GBMCOX6A1 →+0.315+0.051.003.00134
GBMMTA1_S576 →-0.461-0.059.003.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0042755 vs SNX16_S83 — GBM

Per-sample scatter of Eating behavior activity vs SNX16_S83 in GBM.

Explore this scatter interactively →

Exploration