SEC13

mutation — cross-omics
Cross-omicsMUTATION → PROTEIN-RPPAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, SEC13 mutation is significantly associated with the total protein of many other genes, with 7 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible SEC13-associated genes across cancer lineages are c-Myc, ERCC1, and JNK_pT183_Y185. Each is linked with SEC13 in more than 1 cancer types. Because this analysis shows association rather than direction, both SEC13-to-partner and partner-to-SEC13 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, c-Myc grouped by SEC13-low versus SEC13-high in UCEC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SEC13→partner) and Y-score (partner→SEC13) 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
UCECc-Myc →-0.212-3.156.027.01832
UCECERCC1 →-0.140-2.700.038.00631
UCECJNK_pT183_Y185 →-0.134-2.321.042.03331
UCECKu80 →+0.262+3.183.004<.00131
UCECARID1A →-0.191-2.311.011.03431
UCECbeta-Catenin →+0.413+2.999.038.03531
Each partner links to its Q-omics profile. Showing the 6 strongest of 7 associations by consensus.

c-Myc by SEC13 expression — UCEC

Box plot of c-Myc in SEC13-low vs SEC13-high samples in UCEC.

Explore this box plot interactively →

Exploration