CIR1

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

Across TCGA patient cohorts, CIR1 protein abundance is significantly associated with the RNA expression of many other genes, with 15,401 significant associations in total. LSCC shows the largest number of these associations.

The most reproducible CIR1-associated genes across cancer lineages are NEK2, KIF14, and HAT1. Each is linked with CIR1 in more than 4 cancer types. Because this analysis shows association rather than direction, both CIR1-to-partner and partner-to-CIR1 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, CIR1 versus NEK2 in UCEC, with a Pearson correlation of 0.30.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (CIR1→partner) and Y-score (partner→CIR1) 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
UCECNEK2 →+1.005+0.197.002.00735
HNSCKIF14 →+1.082+0.357<.001<.00135
LSCCHAT1 →+0.496+0.256<.001<.00135
UCECCDCA8 →+1.225+0.266<.001.00135
HNSCANAPC1 →+0.393+0.198<.001<.00135
UCECBUB1 →+1.152+0.242<.001.00135
Each partner links to its Q-omics profile. Showing the 6 strongest of 15,401 associations by consensus.

CIR1 vs NEK2 — UCEC

Per-sample scatter of CIR1 vs NEK2 in UCEC (Pearson r = 0.30).

Explore this scatter interactively →

Exploration