Q-omics provides the consensus-scored UNG profile across patient tissues and cancer cell-line models. UNG expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, UNG is differentially expressed in 16, with the highest sampling consensus in BLCA. Additionally, UNG protein abundance shows 27,527 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight LIHC, BLCA, and LSCC as cancer lineages where UNG 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 UNG — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UNG survival associations across molecular data types. UNG RNA expression shows survival associations in the most cancer types (24), followed by mutation status (6) and mass-spec protein abundance (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UNG RNA expression–survival associations across cancer types. High UNG expression shows unfavorable associations in LIHC, LGG, LUAD, SKCM and KICH, but favorable associations in OV. The LIHC 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 LIHC as the clearest survival context for UNG RNA expression.
This table summarizes UNG 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 8. The strongest signals are observed in BLCA for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for UNG. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UNG shows lower tumor expression in THCA and higher tumor expression in BLCA, HNSC, LUAD, LUSC and LIHC. The BLCA box plot shows higher UNG RNA expression in tumor versus normal tissue (log2 FC = +1.555, t-test p < 0.001).
This table shows molecular features associated with UNG in patient tissues and cancer cell lines. In patient samples, UNG 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, UNG RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and UPPER_AERODIGESTIVE_TRACT.
