Molting cycle process

pathway activity — cross-omics
GO:0022404Cross-omicsPROTEIN-MS → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Molting cycle process pathway is significantly associated with the protein abundance of multiple proteins, with the GBM cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are EGFR, SYNE1_S460, and SYNE1_S8305, each associated with the pathway in up to 5 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, Molting cycle process activity versus EGFR in GBM (Pearson r = -0.00).

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
GBMEGFR →+1.149+0.219<.001<.00135
LSCCSYNE1_S460 →-0.686-0.162<.001.00434
LSCCSYNE1_S8305 →-0.686-0.162<.001.00434
GBMPOLR1E →+0.341+0.202<.001<.00134
UCECTBC1D1 →-0.405-0.412.003.00134
HNSCCYLD →-0.257-0.270<.001<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0022404 vs EGFR — GBM

Per-sample scatter of Molting cycle process activity vs EGFR in GBM.

Explore this scatter interactively →

Exploration