Q-omics provides the consensus-scored QPRT profile across patient tissues and cancer cell-line models. QPRT expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in BRCA. Among the 18 cancer types available for tumor–normal comparison, QPRT is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, QPRT protein abundance shows 18,703 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight BRCA, KIRC, and LSCC as cancer lineages where QPRT 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 QPRT — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes QPRT survival associations across molecular data types. QPRT RNA expression shows survival associations in the most cancer types (24), followed by mutation status (2) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible QPRT RNA expression–survival associations across cancer types. High QPRT expression shows unfavorable associations in BRCA, BLCA, UVM, LGG, DLBC and SKCM. The BRCA 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 BRCA as the clearest survival context for QPRT RNA expression.
This table summarizes QPRT tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 5. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for QPRT. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. QPRT shows lower tumor expression in KIRC, KICH, UCEC and CHOL and higher tumor expression in BRCA and LUAD. The KIRC box plot shows higher QPRT RNA expression in normal versus tumor tissue (log2 FC = −1.094, t-test p < 0.001).
This table shows molecular features associated with QPRT in patient tissues and cancer cell lines. In patient samples, QPRT shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, QPRT 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 LUNG_NSCLC_LUSC and BONE.
