Regulation of rRNA processing

pathway activity — cross-omics
GO:2000232Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of rRNA processing pathway is significantly associated with the protein abundance of multiple proteins, with the CCRCC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are KIF2A, CHD1_S1677, and AKR1C3, each associated with the pathway in up to 5 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 rRNA processing activity versus KIF2A in CCRCC (Pearson r = 0.33).

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
CCRCCKIF2A →+0.438+0.039.001<.00135
LUADCHD1_S1677 →+0.392+0.051.002<.00135
LSCCAKR1C3 →+0.751+0.026.007.00434
BRCAIFT74 →+0.254+0.020.007.00334
BRCAMORC2 →-0.336-0.030<.001<.00134
LSCCTNPO1 →+0.215+0.053.001<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:2000232 vs KIF2A — CCRCC

Per-sample scatter of Regulation of rRNA processing activity vs KIF2A in CCRCC.

Explore this scatter interactively →

Exploration