Q-omics provides the consensus-scored PRR19 profile across patient tissues and cancer cell-line models. PRR19 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, PRR19 is differentially expressed in 15, with the highest sampling consensus in BLCA. Additionally, PRR19 RNA expression shows 17,423 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, BLCA, and ACC as cancer lineages where PRR19 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 PRR19 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PRR19 survival associations across molecular data types. PRR19 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PRR19 RNA expression–survival associations across cancer types. High PRR19 expression shows unfavorable associations in KIRC, KIRP, CHOL, ACC, LIHC and LGG. The KIRC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify KIRC as the clearest survival context for PRR19 RNA expression.
This table summarizes PRR19 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15. The strongest signals are observed in BLCA for RNA.
This table ranks reproducible tumor–normal expression differences for PRR19. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PRR19 shows higher tumor expression in BLCA, COAD, LUAD, HNSC, LUSC and KIRP. The BLCA box plot shows higher PRR19 RNA expression in tumor versus normal tissue (log2 FC = +1.160, t-test p < 0.001).
This table shows molecular features associated with PRR19 in patient tissues and cancer cell lines. In patient samples, PRR19 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, PRR19 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in SKIN and BLOOD_Leukemia.
