Q-omics provides the consensus-scored POR profile across patient tissues and cancer cell-line models. POR expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, POR is differentially expressed in 16, with the highest sampling consensus in THCA. Additionally, POR protein abundance shows 27,068 significant protein co-abundance associations, with the highest sampling consensus in BRCA. Together, these results highlight UVM, THCA, and BRCA as cancer lineages where POR 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 POR — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes POR survival associations across molecular data types. POR RNA expression shows survival associations in the most cancer types (23), followed by mutation status (8) and mass-spec protein abundance (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible POR RNA expression–survival associations across cancer types. High POR expression shows unfavorable associations in UVM, ACC, KICH, COAD, LGG and BLCA. The UVM 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 UVM as the clearest survival context for POR RNA expression.
This table summarizes POR tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16, while mass-spec protein shows differences in 10. The strongest signals are observed in THCA for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for POR. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. POR shows lower tumor expression in THCA and KICH and higher tumor expression in COAD, BLCA, UCEC and STAD. The THCA box plot shows higher POR RNA expression in normal versus tumor tissue (log2 FC = −1.424, t-test p < 0.001).
This table shows molecular features associated with POR in patient tissues and cancer cell lines. In patient samples, POR shows the broadest associations at the RNA and protein expression levels, with BRCA recurring as the lineage with the largest associated feature set. In cancer cell lines, POR RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS and SOFT_TISSUE.
