DNA polymerase iotaGenealiases: RAD30B · RAD3OB · eta2
Q-omics provides the consensus-scored POLI profile across patient tissues and cancer cell-line models. POLI expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, POLI is differentially expressed in 8, with the highest sampling consensus in THCA. Additionally, POLI protein abundance shows 25,744 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, THCA, and GBM as cancer lineages where POLI 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 POLI — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes POLI survival associations across molecular data types. POLI RNA expression shows survival associations in the most cancer types (25), followed by mutation status (3) and mass-spec protein abundance (12). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible POLI RNA expression–survival associations across cancer types. High POLI expression shows unfavorable associations in ACC, UVM, CESC and LGG, but favorable associations in BRCA and KIRP. The ACC 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 ACC as the clearest survival context for POLI RNA expression.
This table summarizes POLI tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8, while mass-spec protein shows differences in 9. The strongest signals are observed in THCA for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for POLI. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. POLI shows lower tumor expression in THCA, KICH, BRCA, LUAD and UCEC and higher tumor expression in CHOL. The THCA box plot shows higher POLI RNA expression in normal versus tumor tissue (log2 FC = −1.772, t-test p < 0.001).
This table shows molecular features associated with POLI in patient tissues and cancer cell lines. In patient samples, POLI shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, POLI RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and LUNG_SCLC.
