Q-omics provides the consensus-scored SNHG19 profile across patient tissues and cancer cell-line models. SNHG19 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, SNHG19 is differentially expressed in 13, with the highest sampling consensus in KICH. Additionally, SNHG19 RNA expression shows 16,423 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight ACC, KICH, and THYM as cancer lineages where SNHG19 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 SNHG19 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SNHG19 survival associations across molecular data types. SNHG19 RNA expression shows survival associations in the most cancer types (26). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SNHG19 RNA expression–survival associations across cancer types. High SNHG19 expression shows unfavorable associations in ACC, KIRC, KICH and MESO, but favorable associations in LUSC and UVM. 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 SNHG19 RNA expression.
This table summarizes SNHG19 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for SNHG19. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SNHG19 shows lower tumor expression in KICH, THCA, LUAD and KIRP and higher tumor expression in COAD and LIHC. The KICH box plot shows higher SNHG19 RNA expression in normal versus tumor tissue (log2 FC = −1.924, t-test p < 0.001).
This table shows molecular features associated with SNHG19 in patient tissues and cancer cell lines. In patient samples, SNHG19 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
