Regulation of cell cycle checkpoint

pathway activity — cross-omics
GO:1901976Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of cell cycle checkpoint pathway is significantly associated with the RNA expression of multiple genes, with the BLOOD_Myeloma cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are DNAJC19, YTHDC2, and MND1, each associated with the pathway in up to 5 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 box plot shows the strongest association, DNAJC19 grouped by Regulation of cell cycle checkpoint-low versus -high activity in BLOOD_Myeloma.

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
BLOOD_MyelomaDNAJC19 →-0.562-0.166.005.00134
OVARYYTHDC2 →-0.836-0.090.005.00234
LARGE_INTESTINEMND1 →-1.000-0.160.003.00134
LUNG_NSCLC_LUSCSLC49A4 →+0.730+0.113.002<.00134
BLOOD_LymphomaSOD1 →-0.726-0.282.007.00434
BREASTJOSD2 →+0.801+0.131.002.00334
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

DNAJC19 by Regulation of cell cycle checkpoint activity — BLOOD_Myeloma

Box plot of DNAJC19 in Regulation of cell cycle checkpoint-low vs -high samples in BLOOD_Myeloma.

Explore this box plot interactively →

Exploration