Trunk segmentation

pathway activity — cross-omics
GO:0035290Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Trunk segmentation pathway is significantly associated with the RNA expression of multiple genes, with the BLOOD_Leukemia cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are S100A11, PROCR, and SH3TC2, each associated with the pathway in up to 4 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 box plot shows the strongest association, S100A11 grouped by Trunk segmentation-low versus -high activity in BLOOD_Leukemia.

Pathway-associated genes 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 geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
BLOOD_LeukemiaS100A11 →-3.003-1.142.009.00334
SKINPROCR →-1.842-0.918.001.00634
BONESH3TC2 →-2.590-1.247<.001.00534
KIDNEYZIC5 →+0.794+1.357<.001<.00134
BLOOD_MyelomaPOMGNT1 →-0.987-1.794.002<.00134
BLOOD_LeukemiaTIGD3 →+0.605+1.036<.001<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

S100A11 by Trunk segmentation activity — BLOOD_Leukemia

Box plot of S100A11 in Trunk segmentation-low vs -high samples in BLOOD_Leukemia.

Explore this box plot interactively →

Exploration