APPBP2

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

Across TCGA patient cohorts, APPBP2 mutation is significantly associated with the total protein of many other genes, with 30 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible APPBP2-associated genes across cancer lineages are JNK_pT183_Y185, p70-S6K_pT389, and Shc_pY317. Each is linked with APPBP2 in more than 1 cancer types. Because this analysis shows association rather than direction, both APPBP2-to-partner and partner-to-APPBP2 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, JNK_pT183_Y185 grouped by APPBP2-low versus APPBP2-high in UCEC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (APPBP2→partner) and Y-score (partner→APPBP2) 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
UCECJNK_pT183_Y185 →-0.139-1.234.015.04532
UCECp70-S6K_pT389 →-0.200-2.700.001.00532
UCECShc_pY317 →-0.159-2.321.002.00532
UCECTFRC →+0.464+1.906.010.01532
UCECTIGAR →+0.126+1.541.015.00932
UCECVEGFR2 →+0.264+1.817.009.01532
Each partner links to its Q-omics profile. Showing the 6 strongest of 30 associations by consensus.

JNK_pT183_Y185 by APPBP2 expression — UCEC

Box plot of JNK_pT183_Y185 in APPBP2-low vs APPBP2-high samples in UCEC.

Explore this box plot interactively →

Exploration