STAT3

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

Across TCGA patient cohorts, STAT3 mutation is significantly associated with the total protein of many other genes, with 23 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible STAT3-associated genes across cancer lineages are eEF2, mTOR_pS2448, and PCNA. Each is linked with STAT3 in more than 2 cancer types. Because this analysis shows association rather than direction, both STAT3-to-partner and partner-to-STAT3 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, eEF2 grouped by STAT3-low versus STAT3-high in SKCM.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (STAT3→partner) and Y-score (partner→STAT3) 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
SKCMeEF2 →+0.402+3.000.025.03533
UCECmTOR_pS2448 →-0.091-1.494.044.01432
SKCMPCNA →+0.356+3.169<.001.01932
UCECeIF4E →+0.148+1.999.020.00231
UCECeIF4G →+0.196+1.700.036.04031
UCECJNK_pT183_Y185 →-0.101-1.514.047.01431
Each partner links to its Q-omics profile. Showing the 6 strongest of 23 associations by consensus.

eEF2 by STAT3 expression — SKCM

Box plot of eEF2 in STAT3-low vs STAT3-high samples in SKCM.

Explore this box plot interactively →

Exploration