Q-omics provides the consensus-scored NODAL profile across patient tissues and cancer cell-line models. NODAL expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, NODAL is differentially expressed in 9, with the highest sampling consensus in KIRC. Additionally, NODAL RNA expression shows 18,345 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and KIRC as cancer lineages where NODAL 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 NODAL — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NODAL survival associations across molecular data types. NODAL RNA expression shows survival associations in the most cancer types (22), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NODAL RNA expression–survival associations across cancer types. High NODAL expression shows unfavorable associations in ACC, DLBC, KIRP and LUSC, but favorable associations in UCS and LUAD. 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 NODAL RNA expression.
This table summarizes NODAL 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 NODAL. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NODAL shows lower tumor expression in BRCA and higher tumor expression in KIRC, COAD, CHOL, READ and LIHC. The KIRC box plot shows higher NODAL RNA expression in tumor versus normal tissue (log2 FC = +0.345, t-test p < 0.001).
This table shows molecular features associated with NODAL in patient tissues and cancer cell lines. In patient samples, NODAL 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, NODAL RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS and BLOOD_Leukemia.
