Q-omics provides the consensus-scored NUP50-DT profile across patient tissues and cancer cell-line models. NUP50-DT expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, NUP50-DT is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, NUP50-DT RNA expression shows 17,892 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, HNSC, and UVM as cancer lineages where NUP50-DT 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 NUP50-DT — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NUP50-DT survival associations across molecular data types. NUP50-DT RNA expression shows survival associations in the most cancer types (25). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NUP50-DT RNA expression–survival associations across cancer types. High NUP50-DT expression shows unfavorable associations in KIRC, UVM, ACC, BRCA and LUAD, but favorable associations in CESC. The KIRC 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 KIRC as the clearest survival context for NUP50-DT RNA expression.
This table summarizes NUP50-DT tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for NUP50-DT. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NUP50-DT shows lower tumor expression in THCA and higher tumor expression in HNSC, LIHC, LUAD, LUSC and COAD. The HNSC box plot shows higher NUP50-DT RNA expression in tumor versus normal tissue (log2 FC = +1.542, t-test p < 0.001).
This table shows molecular features associated with NUP50-DT in patient tissues and cancer cell lines. In patient samples, NUP50-DT shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
