Iron import into cell

pathway activity — cross-omics
GO:0033212Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Iron import into cell pathway is significantly associated with the RNA expression of multiple genes, with the CCRCC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are GXYLT2, NBL1, and HEXA, each associated with the pathway in up to 4 cancer types. Since the analysis shows associations rather than directional relationships, both pathway-to-partner and partner-to-pathway views are reported.

Each partner is linked to its corresponding Q-omics profile. The scatter plot shows the strongest association, Iron import into cell activity versus GXYLT2 in CCRCC (Pearson r = 0.27).

Pathway-associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (pathway→partner) and Y-score (partner→pathway) are standardized regression coefficients; both directions are reported because the association is undirected. The reported p-values are derived from the association test.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
CCRCCGXYLT2 →+1.578+0.498<.001.00634
PDACNBL1 →+0.399+0.177<.001.00134
OVHEXA →+0.301+0.121.006.00834
LSCCFAM166C →-0.443-0.153.009.00524
BRCACENPA →-0.559-0.314.007.00133
BRCACEP55 →-0.664-0.420.005.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0033212 vs GXYLT2 — CCRCC

Per-sample scatter of Iron import into cell activity vs GXYLT2 in CCRCC.

Explore this scatter interactively →

Exploration