Q-omics provides the consensus-scored NUP214 profile across patient tissues and cancer cell-line models. NUP214 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, NUP214 is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, NUP214 protein abundance shows 29,078 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, HNSC, and GBM as cancer lineages where NUP214 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 NUP214 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NUP214 survival associations across molecular data types. NUP214 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (7) and mass-spec protein abundance (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NUP214 RNA expression–survival associations across cancer types. High NUP214 expression shows unfavorable associations in ACC, BLCA and LIHC, but favorable associations in SCLC, KIRC and THYM. 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 NUP214 RNA expression.
This table summarizes NUP214 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 7. The strongest signals are observed in THCA for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for NUP214. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NUP214 shows lower tumor expression in THCA and KICH and higher tumor expression in HNSC, LIHC, LUSC and CHOL. The HNSC box plot shows higher NUP214 RNA expression in tumor versus normal tissue (log2 FC = +0.745, t-test p < 0.001).
This table shows molecular features associated with NUP214 in patient tissues and cancer cell lines. In patient samples, NUP214 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, NUP214 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and BLOOD_Lymphoma.
