Q-omics provides the consensus-scored SNORD114-15 profile across patient tissues and cancer cell-line models. SNORD114-15 expression is associated with patient survival in 8 of 34 cancer types, with the highest sampling consensus in CHOL. Additionally, SNORD114-15 RNA expression shows 10,080 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight CHOL, and LSCC as cancer lineages where SNORD114-15 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 SNORD114-15 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SNORD114-15 survival associations across molecular data types. SNORD114-15 RNA expression shows survival associations in the most cancer types (8), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SNORD114-15 RNA expression–survival associations across cancer types. High SNORD114-15 expression shows unfavorable associations in CHOL, TGCT, THCA, PAAD and SKCM, but favorable associations in LAML. The CHOL 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 CHOL as the clearest survival context for SNORD114-15 RNA expression.
This table shows molecular features associated with SNORD114-15 in patient tissues and cancer cell lines. In patient samples, SNORD114-15 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
