trafficking protein particle complex 13 pseudogene 1Genealiases: []
Q-omics provides the consensus-scored TRAPPC13P1 profile across patient tissues and cancer cell-line models. TRAPPC13P1 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, TRAPPC13P1 is differentially expressed in 7, with the highest sampling consensus in LIHC. Additionally, TRAPPC13P1 RNA expression shows 10,114 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight UCS, LIHC, and TGCT as cancer lineages where TRAPPC13P1 shows reproducible signals across survival, tumor–normal expression, and patient cross-omics analyses.
Every result is evaluated using two consensus scores. Sampling consensus measures how consistently a finding is reproduced within a cancer lineage across different conditions. Lineage consensus measures how broadly the result is shared across cancer types, distinguishing pan-cancer signals from lineage-specific patterns.
Premium analyses for TRAPPC13P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TRAPPC13P1 survival associations across molecular data types. TRAPPC13P1 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TRAPPC13P1 RNA expression–survival associations across cancer types. High TRAPPC13P1 expression shows unfavorable associations in SKCM and THCA, but favorable associations in UCS, LGG, COAD and LAML. The UCS Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .008). Together, the overview and detailed table identify UCS as the clearest survival context for TRAPPC13P1 RNA expression.
This table summarizes TRAPPC13P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for TRAPPC13P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TRAPPC13P1 shows lower tumor expression in LUAD and KICH and higher tumor expression in LIHC, BRCA, HNSC and READ. The LIHC box plot shows higher TRAPPC13P1 RNA expression in tumor versus normal tissue (log2 FC = +0.743, t-test p < 0.001).
This table shows molecular features associated with TRAPPC13P1 in patient tissues and cancer cell lines. In patient samples, TRAPPC13P1 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
