NEK9

RNA expression — cross-omics
Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, NEK9 RNA expression is significantly associated with the protein abundance of many other proteins, with 17,264 significant associations in total. LSCC shows the largest number of these associations.

The most reproducible NEK9-associated proteins across cancer lineages are MTA1, VEZF1, and UBR7. Each is linked with NEK9 in more than 6 cancer types. Because this analysis shows association rather than direction, both NEK9-to-partner and partner-to-NEK9 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, NEK9 versus MTA1 in GBM, with a Pearson correlation of 0.40.

RNA expression associated proteins by consensus

Ranked by combined sampling and lineage consensus. X-score (NEK9→partner) and Y-score (partner→NEK9) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner proteinX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
GBMMTA1 →+0.365+0.274<.001<.00137
GBMVEZF1 →+0.382+0.266<.001<.00137
LSCCUBR7 →+0.351+0.384<.001<.00137
HNSCBAG5 →+0.251+0.407.001.00936
LSCCYY1 →+0.316+0.459<.001<.00136
BRCATCEAL4 →+0.531+0.471<.001<.00136
Each partner links to its Q-omics profile. Showing the 6 strongest of 17,264 associations by consensus.

NEK9 vs MTA1 — GBM

Per-sample scatter of NEK9 vs MTA1 in GBM (Pearson r = 0.40).

Explore this scatter interactively →

Exploration