Diencephalon development

pathway activity — cross-omics
GO:0021536Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Diencephalon development 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 STAT1, MKI67_S357, and MAP1B_S1819, 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, Diencephalon development activity versus STAT1 in CCRCC (Pearson r = -0.11).

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
CCRCCSTAT1 →-0.625-0.037<.001.00436
GBMMKI67_S357 →-0.726-0.048.002<.00136
GBMMAP1B_S1819 →+0.260+0.040.003.00336
HNSCGBP1 →-0.713-0.054.001<.00135
CCRCCRRM2_S20 →-0.905-0.063<.001<.00135
LSCCSF3B1 →-0.220-0.072.001<.00135
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0021536 vs STAT1 — CCRCC

Per-sample scatter of Diencephalon development activity vs STAT1 in CCRCC.

Explore this scatter interactively →

Exploration