Q-omics provides the consensus-scored SNHG9 profile across patient tissues and cancer cell-line models. SNHG9 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, SNHG9 is differentially expressed in 10, with the highest sampling consensus in KICH. Additionally, SNHG9 RNA expression shows 16,170 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRC, KICH, and THYM as cancer lineages where SNHG9 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 SNHG9 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SNHG9 survival associations across molecular data types. SNHG9 RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SNHG9 RNA expression–survival associations across cancer types. High SNHG9 expression shows unfavorable associations in KIRC, LGG and ACC, but favorable associations in LUSC, PAAD and BLCA. The KIRC 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 KIRC as the clearest survival context for SNHG9 RNA expression.
This table summarizes SNHG9 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for SNHG9. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SNHG9 shows lower tumor expression in KICH, THCA and HNSC and higher tumor expression in LIHC, COAD and UCEC. The KICH box plot shows higher SNHG9 RNA expression in normal versus tumor tissue (log2 FC = −1.470, t-test p < 0.001).
This table shows molecular features associated with SNHG9 in patient tissues and cancer cell lines. In patient samples, SNHG9 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
