Q-omics provides the consensus-scored NQO1 profile across patient tissues and cancer cell-line models. NQO1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, NQO1 is differentially expressed in 16, with the highest sampling consensus in KICH. Additionally, NQO1 RNA expression shows 17,223 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and KICH as cancer lineages where NQO1 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 NQO1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NQO1 survival associations across molecular data types. NQO1 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NQO1 RNA expression–survival associations across cancer types. High NQO1 expression shows unfavorable associations in UVM, ACC, UCS, ESCA, HNSC and KIRP. 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 NQO1 RNA expression.
This table summarizes NQO1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for NQO1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NQO1 shows lower tumor expression in KICH and higher tumor expression in LUAD, LIHC, KIRP, COAD and HNSC. The KICH box plot shows higher NQO1 RNA expression in normal versus tumor tissue (log2 FC = −2.070, t-test p < 0.001).
This table shows molecular features associated with NQO1 in patient tissues and cancer cell lines. In patient samples, NQO1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, NQO1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BONE.
