Q-omics provides the consensus-scored POLHP1 profile across patient tissues and cancer cell-line models. POLHP1 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in THCA. Among the 18 cancer types available for tumor–normal comparison, POLHP1 is differentially expressed in 5, with the highest sampling consensus in HNSC. Additionally, POLHP1 RNA expression shows 12,842 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight THCA, HNSC, and THYM as cancer lineages where POLHP1 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 POLHP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes POLHP1 survival associations across molecular data types. POLHP1 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible POLHP1 RNA expression–survival associations across cancer types. High POLHP1 expression shows unfavorable associations in THCA, KICH, ACC and HNSC, but favorable associations in UCS and LIHC. The THCA 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 THCA as the clearest survival context for POLHP1 RNA expression.
This table summarizes POLHP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for POLHP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. POLHP1 shows lower tumor expression in KICH and THCA and higher tumor expression in HNSC, UCEC and BRCA. The HNSC box plot shows higher POLHP1 RNA expression in tumor versus normal tissue (log2 FC = +0.069, t-test p = .029).
This table shows molecular features associated with POLHP1 in patient tissues and cancer cell lines. In patient samples, POLHP1 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
