Negative regulation of extracellular matrix disassembly

pathway activity — cross-omics
GO:0010716Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Negative regulation of extracellular matrix disassembly 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 RCN3, SLC4A1AP_S82, and SERPINH1, each associated with the pathway in up to 8 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, Negative regulation of extracellular matrix disassembly activity versus RCN3 in GBM (Pearson r = 0.19).

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
GBMRCN3 →+0.837+0.098<.001<.00138
UCECSLC4A1AP_S82 →-0.946-0.125<.001<.00138
BRCASERPINH1 →+0.591+0.102<.001<.00138
LUADCCNK_S329 →-1.753-0.099<.001<.00138
GBMDPP4 →+0.850+0.082<.001<.00138
OVFAP →+1.074+0.105<.001<.00138
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0010716 vs RCN3 — GBM

Per-sample scatter of Negative regulation of extracellular matrix disassembly activity vs RCN3 in GBM.

Explore this scatter interactively →

Exploration