Q-omics provides the consensus-scored PRR23D3P profile across patient tissues and cancer cell-line models. PRR23D3P expression is associated with patient survival in 9 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, PRR23D3P is differentially expressed in 1, with the highest sampling consensus in UCEC. Additionally, PRR23D3P RNA expression shows 3,075 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KICH, UCEC, and TGCT as cancer lineages where PRR23D3P 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 PRR23D3P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PRR23D3P survival associations across molecular data types. PRR23D3P RNA expression shows survival associations in the most cancer types (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PRR23D3P RNA expression–survival associations across cancer types. High PRR23D3P expression shows unfavorable associations in KICH, ACC, COAD, LIHC, SKCM and PRAD. The KICH Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify KICH as the clearest survival context for PRR23D3P RNA expression.
This table summarizes PRR23D3P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in UCEC for RNA.
This table ranks reproducible tumor–normal expression differences for PRR23D3P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PRR23D3P shows higher tumor expression in UCEC. The UCEC box plot shows higher PRR23D3P RNA expression in tumor versus normal tissue (log2 FC = +0.050, t-test p = .034).
This table shows molecular features associated with PRR23D3P in patient tissues and cancer cell lines. In patient samples, PRR23D3P shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
