protein only RNase P catalytic subunitGenealiases: COXPD54 · KIAA0391 · MRPP3
Q-omics provides the consensus-scored PRORP profile across patient tissues and cancer cell-line models. PRORP expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, PRORP is differentially expressed in 10, with the highest sampling consensus in BLCA. Additionally, PRORP RNA expression shows 20,455 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, BLCA, and ACC as cancer lineages where PRORP 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 PRORP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PRORP survival associations across molecular data types. PRORP RNA expression shows survival associations in the most cancer types (25), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PRORP RNA expression–survival associations across cancer types. High PRORP expression shows unfavorable associations in LIHC and STAD, but favorable associations in KIRC, UCS, THYM and BRCA. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for PRORP RNA expression.
This table summarizes PRORP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in BLCA for RNA.
This table ranks reproducible tumor–normal expression differences for PRORP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PRORP shows lower tumor expression in THCA and higher tumor expression in BLCA, HNSC, LIHC, UCEC and STAD. The BLCA box plot shows higher PRORP RNA expression in tumor versus normal tissue (log2 FC = +0.565, t-test p < 0.001).
This table shows molecular features associated with PRORP in patient tissues and cancer cell lines. In patient samples, PRORP 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, PRORP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and BLOOD_Leukemia.
