primase and DNA directed polymeraseGenealiases: CCDC111 · MYP22 · Primpol1
Q-omics provides the consensus-scored PRIMPOL profile across patient tissues and cancer cell-line models. PRIMPOL expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, PRIMPOL is differentially expressed in 11, with the highest sampling consensus in THCA. Additionally, PRIMPOL RNA expression shows 20,328 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight ACC, THCA, and KIRP as cancer lineages where PRIMPOL 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 PRIMPOL — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PRIMPOL survival associations across molecular data types. PRIMPOL RNA expression shows survival associations in the most cancer types (21), followed by mutation status (2) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PRIMPOL RNA expression–survival associations across cancer types. High PRIMPOL expression shows unfavorable associations in ACC, LGG, LUAD and UVM, but favorable associations in KIRC and READ. The ACC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .003). Together, the overview and detailed table identify ACC as the clearest survival context for PRIMPOL RNA expression.
This table summarizes PRIMPOL tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 5. The strongest signals are observed in THCA for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for PRIMPOL. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PRIMPOL shows lower tumor expression in THCA, KICH and UCEC and higher tumor expression in HNSC, LIHC and CHOL. The THCA box plot shows higher PRIMPOL RNA expression in normal versus tumor tissue (log2 FC = −0.512, t-test p < 0.001).
This table shows molecular features associated with PRIMPOL in patient tissues and cancer cell lines. In patient samples, PRIMPOL shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, PRIMPOL RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and BLOOD_Leukemia.
