Q-omics provides the consensus-scored SNORD53 profile across patient tissues and cancer cell-line models. SNORD53 expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in CESC. Among the 18 cancer types available for tumor–normal comparison, SNORD53 is differentially expressed in 5, with the highest sampling consensus in HNSC. Additionally, SNORD53 RNA expression shows 14,689 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight CESC, HNSC, and LSCC as cancer lineages where SNORD53 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 SNORD53 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SNORD53 survival associations across molecular data types. SNORD53 RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SNORD53 RNA expression–survival associations across cancer types. High SNORD53 expression shows unfavorable associations in CESC, UVM, MESO, DLBC, ACC and LIHC. The CESC 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 CESC as the clearest survival context for SNORD53 RNA expression.
This table summarizes SNORD53 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for SNORD53. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SNORD53 shows higher tumor expression in HNSC, LUSC, KIRC, COAD and LUAD. The HNSC box plot shows higher SNORD53 RNA expression in tumor versus normal tissue (log2 FC = +0.240, t-test p < 0.001).
This table shows molecular features associated with SNORD53 in patient tissues and cancer cell lines. In patient samples, SNORD53 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
