NET1

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

Across TCGA patient cohorts, NET1 protein abundance is significantly associated with the RNA expression of many other genes, with 1,948 significant associations in total. BRCA shows the largest number of these associations.

The most reproducible NET1-associated genes across cancer lineages are RPS6KA5, TMEM116, and EML2. Each is linked with NET1 in more than 1 cancer types. Because this analysis shows association rather than direction, both NET1-to-partner and partner-to-NET1 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, NET1 versus RPS6KA5 in UCEC, with a Pearson correlation of -0.31.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (NET1→partner) and Y-score (partner→NET1) 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
UCECRPS6KA5 →-0.705-0.308<.001.00132
BRCATMEM116 →-0.533-0.606.006.00332
BRCAEML2 →-0.683-0.554.003.00232
UCECSALL4 →+0.802+0.392.003.00431
UCECMMP19 →+0.747+0.356.007.00331
UCECMICAL2 →+0.678+0.405.004.00131
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,948 associations by consensus.

NET1 vs RPS6KA5 — UCEC

Per-sample scatter of NET1 vs RPS6KA5 in UCEC (Pearson r = -0.31).

Explore this scatter interactively →

Exploration