CYP2C19

protein abundance — cross-omics
Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, CYP2C19 protein abundance is significantly associated with the RNA expression of many other genes, with 224 significant associations in total. PDAC shows the largest number of these associations.

The most reproducible CYP2C19-associated genes across cancer lineages are SDR39U1, PPP4R3A, and ENO2. Each is linked with CYP2C19 in more than 1 cancer types. Because this analysis shows association rather than direction, both CYP2C19-to-partner and partner-to-CYP2C19 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, CYP2C19 versus SDR39U1 in PDAC, with a Pearson correlation of 0.74.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (CYP2C19→partner) and Y-score (partner→CYP2C19) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
PDACSDR39U1 →+0.464+0.779.001.00531
PDACPPP4R3A →+0.367+0.705.002.00931
PDACENO2 →-1.025-0.635.007.00531
PDACALDH5A1 →+0.705+0.727.001<.00131
PDACMDFI →-0.769-0.727<.001<.00131
PDACEDEM3 →+0.548+0.704.007.00331
Each partner links to its Q-omics profile. Showing the 6 strongest of 224 associations by consensus.

CYP2C19 vs SDR39U1 — PDAC

Per-sample scatter of CYP2C19 vs SDR39U1 in PDAC (Pearson r = 0.74).

Explore this scatter interactively →

Exploration