Q-omics provides the consensus-scored GDNF profile across patient tissues and cancer cell-line models. GDNF expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, GDNF is differentially expressed in 11, with the highest sampling consensus in COAD. Additionally, GDNF RNA expression shows 15,954 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight ACC, COAD, and THYM as cancer lineages where GDNF 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 GDNF — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GDNF survival associations across molecular data types. GDNF RNA expression shows survival associations in the most cancer types (17), followed by mutation status (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GDNF RNA expression–survival associations across cancer types. High GDNF expression shows unfavorable associations in ACC, MESO, KIRP and CHOL, but favorable associations in LGG and SKCM. 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 GDNF RNA expression.
This table summarizes GDNF tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for GDNF. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GDNF shows lower tumor expression in COAD, KIRP, KIRC and READ and higher tumor expression in LUAD and LUSC. The COAD box plot shows higher GDNF RNA expression in normal versus tumor tissue (log2 FC = −1.056, t-test p < 0.001).
This table shows molecular features associated with GDNF in patient tissues and cancer cell lines. In patient samples, GDNF shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, GDNF RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in LIVER and SKIN.
