Q-omics provides the consensus-scored NUP98 profile across patient tissues and cancer cell-line models. NUP98 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, NUP98 is differentially expressed in 11, with the highest sampling consensus in COAD. Additionally, NUP98 protein abundance shows 27,911 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, COAD, and GBM as cancer lineages where NUP98 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 NUP98 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NUP98 survival associations across molecular data types. NUP98 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (6) 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 NUP98 RNA expression–survival associations across cancer types. High NUP98 expression shows unfavorable associations in ACC, LIHC, KICH and KIRP, but favorable associations in KIRC and UCS. The ACC 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 ACC as the clearest survival context for NUP98 RNA expression.
This table summarizes NUP98 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 7. The strongest signals are observed in COAD for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for NUP98. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NUP98 shows lower tumor expression in THCA and higher tumor expression in COAD, STAD, HNSC, LIHC and CHOL. The COAD box plot shows higher NUP98 RNA expression in tumor versus normal tissue (log2 FC = +0.568, t-test p < 0.001).
This table shows molecular features associated with NUP98 in patient tissues and cancer cell lines. In patient samples, NUP98 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, NUP98 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and BLOOD_Leukemia.
