KIFC2

protein abundance — cross-omics
Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, KIFC2 protein abundance is significantly associated with the RNA expression of many other genes, with 2,810 significant associations in total. GBM shows the largest number of these associations.

The most reproducible KIFC2-associated genes across cancer lineages are RPS16, SEPTIN3, and PVALB. Each is linked with KIFC2 in more than 1 cancer types. Because this analysis shows association rather than direction, both KIFC2-to-partner and partner-to-KIFC2 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, KIFC2 versus RPS16 in LSCC, with a Pearson correlation of -0.34.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (KIFC2→partner) and Y-score (partner→KIFC2) 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
LSCCRPS16 →-1.026-0.809.006.00932
GBMSEPTIN3 →+0.674+0.377.007.00531
GBMPVALB →+0.788+0.597.002.00131
GBMCHGA →+1.611+0.503<.001.00531
GBMSPRTN →+0.346+0.535.001.00431
GBMCPNE6 →+0.814+0.504<.001.00731
Each partner links to its Q-omics profile. Showing the 6 strongest of 2,810 associations by consensus.

KIFC2 vs RPS16 — LSCC

Per-sample scatter of KIFC2 vs RPS16 in LSCC (Pearson r = -0.34).

Explore this scatter interactively →

Exploration