IGKV1-6

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

Across TCGA patient cohorts, IGKV1-6 protein abundance is significantly associated with the RNA expression of many other genes, with 1,327 significant associations in total. LUAD shows the largest number of these associations.

The most reproducible IGKV1-6-associated genes across cancer lineages are NEK11, RAB2B, and LENEP. Each is linked with IGKV1-6 in more than 1 cancer types. Because this analysis shows association rather than direction, both IGKV1-6-to-partner and partner-to-IGKV1-6 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, IGKV1-6 versus NEK11 in PDAC, with a Pearson correlation of -0.64.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (IGKV1-6→partner) and Y-score (partner→IGKV1-6) 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
PDACNEK11 →-0.767-1.533.004.00332
PDACRAB2B →-0.433-1.138.002.00632
LUADLENEP →-0.823-0.674<.001.00632
PDACMAPK1 →-0.322-1.282.004.00531
PDACDDX17 →-0.538-1.138<.001.00631
PDACCBY1 →-0.667-1.862<.001.00931
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,327 associations by consensus.

IGKV1-6 vs NEK11 — PDAC

Per-sample scatter of IGKV1-6 vs NEK11 in PDAC (Pearson r = -0.64).

Explore this scatter interactively →

Exploration