Q-omics provides the consensus-scored SNURF profile across patient tissues and cancer cell-line models. SNURF expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, SNURF is differentially expressed in 9, with the highest sampling consensus in KIRC. Additionally, SNURF RNA expression shows 19,139 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and KIRC as cancer lineages where SNURF 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 SNURF — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SNURF survival associations across molecular data types. SNURF RNA expression shows survival associations in the most cancer types (22), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SNURF RNA expression–survival associations across cancer types. High SNURF expression shows unfavorable associations in UVM, DLBC, KICH and LGG, but favorable associations in SCLC and SKCM. The UVM 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 UVM as the clearest survival context for SNURF RNA expression.
This table summarizes SNURF 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 SNURF. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SNURF shows lower tumor expression in KIRC, KIRP, THCA and KICH and higher tumor expression in LIHC and CHOL. The KIRC box plot shows higher SNURF RNA expression in normal versus tumor tissue (log2 FC = −0.826, t-test p < 0.001).
This table shows molecular features associated with SNURF in patient tissues and cancer cell lines. In patient samples, SNURF shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, SNURF RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and BLOOD_Leukemia.
