SEMA3A

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

Across TCGA patient cohorts, SEMA3A protein abundance is significantly associated with the RNA expression of many other genes, with 3,785 significant associations in total. GBM shows the largest number of these associations.

The most reproducible SEMA3A-associated genes across cancer lineages are CYP4F11, GAPDHP73, and BLMH. Each is linked with SEMA3A in more than 1 cancer types. Because this analysis shows association rather than direction, both SEMA3A-to-partner and partner-to-SEMA3A results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, SEMA3A versus CYP4F11 in LSCC, with a Pearson correlation of -0.45.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SEMA3A→partner) and Y-score (partner→SEMA3A) 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
LSCCCYP4F11 →-2.790-1.067.007<.00132
UCECGAPDHP73 →+0.646+1.424.006.00332
LSCCBLMH →-0.694-0.660<.001.00232
GBMFGFRL1 →+0.893+0.780<.001<.00132
LSCCGPR37 →+1.138+0.699<.001<.00132
LSCCTPRG1 →-0.930-0.716.003<.00132
Each partner links to its Q-omics profile. Showing the 6 strongest of 3,785 associations by consensus.

SEMA3A vs CYP4F11 — LSCC

Per-sample scatter of SEMA3A vs CYP4F11 in LSCC (Pearson r = -0.45).

Explore this scatter interactively →

Exploration