Protein auto-ADP-ribosylation

pathway activity — cross-omics
GO:0070213Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Protein auto-ADP-ribosylation pathway is significantly associated with the protein abundance of multiple proteins, with the HNSC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are SASH3_S97, GDPD3, and SLC16A3_S436, 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, Protein auto-ADP-ribosylation activity versus SASH3_S97 in HNSC (Pearson r = 0.27).

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
HNSCSASH3_S97 →+0.487+0.057.002.00236
HNSCGDPD3 →-0.581-0.068<.001.00136
GBMSLC16A3_S436 →-0.470-0.053.004<.00135
UCECDPYD →+0.493+0.071<.001.00535
LSCCRPL26 →-0.438-0.064<.001<.00135
CCRCCCTHRC1 →+0.465+0.018.009.00735
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0070213 vs SASH3_S97 — HNSC

Per-sample scatter of Protein auto-ADP-ribosylation activity vs SASH3_S97 in HNSC.

Explore this scatter interactively →

Exploration