Parathyroid gland development

pathway activity — cross-omics
GO:0060017Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Parathyroid gland development pathway is significantly associated with the protein abundance of multiple proteins, with the BRCA cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are DMXL1_S1896, ESF1_S663, and YIF1A, 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, Parathyroid gland development activity versus DMXL1_S1896 in BRCA (Pearson r = 0.23).

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
BRCADMXL1_S1896 →+0.584+0.100.002<.00136
PDACESF1_S663 →-0.720-0.070.003.00535
BRCAYIF1A →+0.348+0.068<.001<.00135
PDACCEP170_S359 →-0.956-0.086<.001<.00135
BRCARAB3D →+0.724+0.120<.001<.00135
PDACCTBP1 →-0.329-0.068.001<.00135
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0060017 vs DMXL1_S1896 — BRCA

Per-sample scatter of Parathyroid gland development activity vs DMXL1_S1896 in BRCA.

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Exploration