Regulation of embryonic development

pathway activity — cross-omics
GO:0045995Cross-omicsPROTEIN-MS → PROTEIN-MSPatientPairwise association · TCGA cohorts

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

The most reproducible pathway-associated proteins across cancer lineages are DOCK4_S1717, ANLN_S642, and TAF6_S653, each associated with the pathway in up to 3 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 embryonic development activity versus DOCK4_S1717 in LSCC (Pearson r = -0.02).

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
LSCCDOCK4_S1717 →-1.057-0.199<.001<.00133
BRCAANLN_S642 →+1.891+0.216<.001<.00133
HNSCTAF6_S653 →-0.384-0.309<.001<.00133
LSCCSYNM →-0.583-0.204.002.00332
OVTJP1_S912 →-1.026-0.265<.001<.00132
BRCABRPF1 →+0.338+0.249<.001<.00132
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0045995 vs DOCK4_S1717 — LSCC

Per-sample scatter of Regulation of embryonic development activity vs DOCK4_S1717 in LSCC.

Explore this scatter interactively →

Exploration