Q-omics provides the consensus-scored NUP43 profile across patient tissues and cancer cell-line models. NUP43 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, NUP43 is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, NUP43 protein abundance shows 23,894 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight LIHC, HNSC, and LSCC as cancer lineages where NUP43 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 NUP43 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NUP43 survival associations across molecular data types. NUP43 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (4) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NUP43 RNA expression–survival associations across cancer types. High NUP43 expression shows unfavorable associations in LIHC, BLCA, MESO and KICH, but favorable associations in READ and KIRC. 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 NUP43 RNA expression.
This table summarizes NUP43 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 5. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for NUP43. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NUP43 shows higher tumor expression in HNSC, BLCA, COAD, LIHC, LUAD and STAD. The HNSC box plot shows higher NUP43 RNA expression in tumor versus normal tissue (log2 FC = +0.946, t-test p < 0.001).
This table shows molecular features associated with NUP43 in patient tissues and cancer cell lines. In patient samples, NUP43 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, NUP43 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 LUNG_NSCLC_LUSC and BLOOD_Leukemia.
