Q-omics provides the consensus-scored NUP37 profile across patient tissues and cancer cell-line models. NUP37 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, NUP37 is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, NUP37 protein abundance shows 28,816 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight HNSC, and GBM as cancer lineages where NUP37 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 NUP37 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NUP37 survival associations across molecular data types. NUP37 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (5) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NUP37 RNA expression–survival associations across cancer types. High NUP37 expression shows unfavorable associations in HNSC, LIHC, LUAD, MESO, ACC and LGG. The HNSC 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 HNSC as the clearest survival context for NUP37 RNA expression.
This table summarizes NUP37 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 6. The strongest signals are observed in HNSC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for NUP37. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NUP37 shows lower tumor expression in THCA and higher tumor expression in HNSC, BLCA, COAD, LIHC and STAD. The HNSC box plot shows higher NUP37 RNA expression in tumor versus normal tissue (log2 FC = +1.051, t-test p < 0.001).
This table shows molecular features associated with NUP37 in patient tissues and cancer cell lines. In patient samples, NUP37 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, NUP37 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 BREAST and UPPER_AERODIGESTIVE_TRACT.
