Q-omics provides the consensus-scored SNORA40B profile across patient tissues and cancer cell-line models. SNORA40B expression is associated with patient survival in 14 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, SNORA40B is differentially expressed in 1, with the highest sampling consensus in LIHC. Additionally, SNORA40B RNA expression shows 7,717 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight UVM, LIHC, and LSCC as cancer lineages where SNORA40B 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 SNORA40B — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SNORA40B survival associations across molecular data types. SNORA40B RNA expression shows survival associations in the most cancer types (14). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SNORA40B RNA expression–survival associations across cancer types. High SNORA40B expression shows unfavorable associations in UVM, TGCT, ACC, UCEC, CHOL and KIRC. The UVM Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .003). Together, the overview and detailed table identify UVM as the clearest survival context for SNORA40B RNA expression.
This table summarizes SNORA40B tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for SNORA40B. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SNORA40B shows higher tumor expression in LIHC. The LIHC box plot shows higher SNORA40B RNA expression in tumor versus normal tissue (log2 FC = +0.100, t-test p = .023).
This table shows molecular features associated with SNORA40B in patient tissues and cancer cell lines. In patient samples, SNORA40B shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
