Q-omics provides the consensus-scored NCF1C profile across patient tissues and cancer cell-line models. NCF1C expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, NCF1C is differentially expressed in 9, with the highest sampling consensus in KIRC. Additionally, NCF1C RNA expression shows 20,874 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight HNSC, KIRC, and LSCC as cancer lineages where NCF1C 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 NCF1C — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NCF1C survival associations across molecular data types. NCF1C RNA expression shows survival associations in the most cancer types (24). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NCF1C RNA expression–survival associations across cancer types. High NCF1C expression shows unfavorable associations in LGG and UVM, but favorable associations in HNSC, SKCM, CESC and LUAD. The HNSC 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 HNSC as the clearest survival context for NCF1C RNA expression.
This table summarizes NCF1C tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for NCF1C. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NCF1C shows lower tumor expression in COAD, LUAD, LUSC and BLCA and higher tumor expression in KIRC and KIRP. The KIRC box plot shows higher NCF1C RNA expression in tumor versus normal tissue (log2 FC = +1.610, t-test p < 0.001).
This table shows molecular features associated with NCF1C in patient tissues and cancer cell lines. In patient samples, NCF1C 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, NCF1C RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS.
