LARP7P1

RNA expression — cross-omics
Cross-omicsRNA → FUNCTION-RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, LARP7P1 RNA expression is significantly associated with the go_rna of many other GO terms, with 4,174 significant associations in total. STAD shows the largest number of these associations.

The most reproducible LARP7P1-associated GO terms across cancer lineages are Neutral lipid metabolic process, Golgi organization, and Regulation of DNA methylation-dependent heterochromatin formation. Each is linked with LARP7P1 in more than 4 cancer types. Because this analysis shows association rather than direction, both LARP7P1-to-partner and partner-to-LARP7P1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Neutral lipid metabolic process grouped by LARP7P1-low versus LARP7P1-high in ESCA.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (LARP7P1→partner) and Y-score (partner→LARP7P1) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner GO termX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
ESCANeutral lipid metabolic process →+0.061+0.121<.001.00135
ESCAGolgi organization →+0.081+0.090<.001<.00135
ESCARegulation of DNA methylation-dependent heterochromatin formation →+0.098+0.122<.001<.00134
ESCAPositive regulation of DNA methylation-dependent heterochromatin formation →+0.094+0.096<.001<.00134
ESCAUbiquitin-independent protein catabolic process via the multivesicular body sorting pathway →+0.092+0.108<.001.00534
ESCAFatty acid catabolic process →+0.084+0.156<.001.00234
Each partner links to its Q-omics profile. Showing the 6 strongest of 4,174 associations by consensus.

Neutral lipid metabolic process by LARP7P1 expression — ESCA

Box plot of Neutral lipid metabolic process in LARP7P1-low vs LARP7P1-high samples in ESCA.

Explore this box plot interactively →

Exploration