Thyroid gland development

pathway activity — cross-omics
GO:0030878Cross-omicsPROTEIN-MS → DRUGCellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Thyroid gland development pathway is significantly associated with the drug response of multiple features, with the LUNG_SCLC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated features across cancer lineages are FS106, Midostaurin, and Ponatinib, each associated with the pathway in up to 1 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, FS106 grouped by Thyroid gland development-low versus -high activity in LUNG_SCLC.

Pathway-associated features 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 featureX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
LUNG_SCLCFS106 →+0.509+1.414.015.00811
LUNG_SCLCMidostaurin →+0.970+1.414.016.00811
LUNG_SCLCPonatinib →+0.919+1.414.007.00811
LUNG_SCLCJNK-9L →+0.674+1.414.034.00811
LUNG_SCLCPF-562271 →+0.964+1.414.016.00811
LUNG_SCLCHG6-64-1 →+1.500+1.414.018.00811
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

FS106 by Thyroid gland development activity — LUNG_SCLC

Box plot of FS106 in Thyroid gland development-low vs -high samples in LUNG_SCLC.

Explore this box plot interactively →

Exploration