SERBP1

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

Across TCGA patient cohorts, SERBP1 protein abundance is significantly associated with the RNA expression of many other genes, with 15,237 significant associations in total. LSCC shows the largest number of these associations.

The most reproducible SERBP1-associated genes across cancer lineages are KLF2, TMEM119, and LINC00702. Each is linked with SERBP1 in more than 7 cancer types. Because this analysis shows association rather than direction, both SERBP1-to-partner and partner-to-SERBP1 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, SERBP1 versus KLF2 in LSCC, with a Pearson correlation of -0.50.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SERBP1→partner) and Y-score (partner→SERBP1) 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
LSCCKLF2 →-0.753-0.146<.001<.00138
OVTMEM119 →-1.287-0.292.001<.00138
HNSCLINC00702 →-0.744-0.184.001.00938
OVIFFO1 →-1.019-0.397<.001<.00138
UCECABCA8 →-1.365-0.215<.001<.00138
UCECPTH1R →-0.870-0.185<.001<.00138
Each partner links to its Q-omics profile. Showing the 6 strongest of 15,237 associations by consensus.

SERBP1 vs KLF2 — LSCC

Per-sample scatter of SERBP1 vs KLF2 in LSCC (Pearson r = -0.50).

Explore this scatter interactively →

Exploration