Regulation of ovarian follicle development

pathway activity — cross-omics
GO:2000354Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of ovarian follicle 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 UTP18, GRPEL1, and NKTR_S463, each associated with the pathway in up to 7 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 ovarian follicle development activity versus UTP18 in LSCC (Pearson r = -0.35).

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
LSCCUTP18 →+0.307+0.072<.001<.00137
LUADGRPEL1 →+0.300+0.047<.001.00137
LUADNKTR_S463 →+0.619+0.072<.001<.00137
LUADUTP4 →+0.285+0.071<.001<.00137
LUADWDR75 →+0.346+0.065<.001.00137
LSCCNOC2L →+0.304+0.058.003.00737
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:2000354 vs UTP18 — LSCC

Per-sample scatter of Regulation of ovarian follicle development activity vs UTP18 in LSCC.

Explore this scatter interactively →

Exploration