IGHVII-78-1

RNA expression — cross-omics
Cross-omicsRNA → FUNCTION-RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, IGHVII-78-1 RNA expression is significantly associated with the go_rna of many other GO terms, with 7,026 significant associations in total. STAD shows the largest number of these associations.

The most reproducible IGHVII-78-1-associated GO terms across cancer lineages are Peptidyl-serine autophosphorylation, Regulation of Ras protein signal transduction, and Regulation of Rho protein signal transduction. Each is linked with IGHVII-78-1 in more than 18 cancer types. Because this analysis shows association rather than direction, both IGHVII-78-1-to-partner and partner-to-IGHVII-78-1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Peptidyl-serine autophosphorylation grouped by IGHVII-78-1-low versus IGHVII-78-1-high in ESCA.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (IGHVII-78-1→partner) and Y-score (partner→IGHVII-78-1) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner GO termX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
ESCAPeptidyl-serine autophosphorylation →+0.063+0.709<.001<.001319
STADRegulation of Ras protein signal transduction →+0.035+0.431<.001<.001318
LAMLRegulation of Rho protein signal transduction →+0.037+0.991<.001<.001218
ESCAGlycerophospholipid metabolic process →+0.036+0.893<.001<.001317
STADPost-Golgi vesicle-mediated transport →+0.043+0.351<.001<.001317
STADRegulation of cell morphogenesis →+0.031+0.354<.001<.001317
Each partner links to its Q-omics profile. Showing the 6 strongest of 7,026 associations by consensus.

Peptidyl-serine autophosphorylation by IGHVII-78-1 expression — ESCA

Box plot of Peptidyl-serine autophosphorylation in IGHVII-78-1-low vs IGHVII-78-1-high samples in ESCA.

Explore this box plot interactively →

Exploration