AKIP1

mutation — cross-omics
Cross-omicsMUTATION → RNACell-linePairwise association · TCGA cohorts

Across TCGA cell cohorts, AKIP1 mutation is significantly associated with the RNA expression of many other genes, with 3 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible AKIP1-associated genes across cancer lineages are PPP1R2C, CST8, and PRAMEF7. Each is linked with AKIP1 in more than 1 cancer types. Because this analysis shows association rather than direction, both AKIP1-to-partner and partner-to-AKIP1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, PPP1R2C grouped by AKIP1-low versus AKIP1-high in BLOOD_Leukemia.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (AKIP1→partner) and Y-score (partner→AKIP1) 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
BLOOD_LeukemiaPPP1R2C →+0.307+5.539<.001.00331
BLOOD_LeukemiaCST8 →+0.062+5.969<.001.00131
BLOOD_LeukemiaPRAMEF7 →+0.012+5.539.001.00331
Each partner links to its Q-omics profile. Showing the 3 strongest of 3 associations by consensus.

PPP1R2C by AKIP1 expression — BLOOD_Leukemia

Box plot of PPP1R2C in AKIP1-low vs AKIP1-high samples in BLOOD_Leukemia.

Explore this box plot interactively →

Exploration