Q-omics provides the consensus-scored NAF1 profile across patient tissues and cancer cell-line models. NAF1 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, NAF1 is differentially expressed in 11, with the highest sampling consensus in STAD. Additionally, NAF1 protein abundance shows 20,437 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRC, STAD, and LSCC as cancer lineages where NAF1 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 NAF1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NAF1 survival associations across molecular data types. NAF1 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (6) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NAF1 RNA expression–survival associations across cancer types. High NAF1 expression shows unfavorable associations in CESC and THCA, but favorable associations in KIRC, BRCA, UCS and COAD. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for NAF1 RNA expression.
This table summarizes NAF1 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 6. The strongest signals are observed in HNSC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for NAF1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NAF1 shows lower tumor expression in BLCA and higher tumor expression in STAD, HNSC, COAD, LIHC and CHOL. The STAD box plot shows higher NAF1 RNA expression in tumor versus normal tissue (log2 FC = +0.761, t-test p = .003).
This table shows molecular features associated with NAF1 in patient tissues and cancer cell lines. In patient samples, NAF1 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, NAF1 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 LUNG_NSCLC_LUAD and BLOOD_Lymphoma.
