SEC22B2P

RNA expression — cross-omics
Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, SEC22B2P RNA expression is significantly associated with the protein abundance of many other proteins, with 6,261 significant associations in total. OV shows the largest number of these associations.

The most reproducible SEC22B2P-associated proteins across cancer lineages are ZYX_S344, RHBDF2_S387, and SEC22B_S175. Each is linked with SEC22B2P in more than 1 cancer types. Because this analysis shows association rather than direction, both SEC22B2P-to-partner and partner-to-SEC22B2P results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, SEC22B2P versus ZYX_S344 in OV, with a Pearson correlation of 0.33.

RNA expression associated proteins by consensus

Ranked by combined sampling and lineage consensus. X-score (SEC22B2P→partner) and Y-score (partner→SEC22B2P) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner proteinX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
OVZYX_S344 →+0.678+1.584.004<.00132
OVRHBDF2_S387 →+0.936+1.554<.001<.00132
UCECSEC22B_S175 →+0.467+1.101<.001.00232
UCECSKP1 →-0.207-1.597<.001<.00132
OVSPAST_S268 →+0.710+1.350.001<.00132
OVSPEN_S847 →-0.860-2.024<.001<.00132
Each partner links to its Q-omics profile. Showing the 6 strongest of 6,261 associations by consensus.

SEC22B2P vs ZYX_S344 — OV

Per-sample scatter of SEC22B2P vs ZYX_S344 in OV (Pearson r = 0.33).

Explore this scatter interactively →

Exploration