non-homologous end joining factor 1Genealiases: IMD124 · MCOPCB13 · XLF
Q-omics provides the consensus-scored NHEJ1 profile across patient tissues and cancer cell-line models. NHEJ1 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, NHEJ1 is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, NHEJ1 RNA expression shows 20,203 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, HNSC, and ACC as cancer lineages where NHEJ1 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 NHEJ1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NHEJ1 survival associations across molecular data types. NHEJ1 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (2) 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 NHEJ1 RNA expression–survival associations across cancer types. High NHEJ1 expression shows unfavorable associations in ACC, LUAD, BLCA, LIHC and LGG, but favorable associations in KIRC. 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 NHEJ1 RNA expression.
This table summarizes NHEJ1 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 LUAD for protein.
This table ranks reproducible tumor–normal expression differences for NHEJ1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NHEJ1 shows lower tumor expression in KICH and KIRP and higher tumor expression in HNSC, STAD, LIHC and KIRC. The HNSC box plot shows higher NHEJ1 RNA expression in tumor versus normal tissue (log2 FC = +0.351, t-test p < 0.001).
This table shows molecular features associated with NHEJ1 in patient tissues and cancer cell lines. In patient samples, NHEJ1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, NHEJ1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUSC and SOFT_TISSUE.
