Q-omics provides the consensus-scored SNHG1 profile across patient tissues and cancer cell-line models. SNHG1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, SNHG1 is differentially expressed in 16, with the highest sampling consensus in BLCA. Additionally, SNHG1 RNA expression shows 19,715 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, BLCA, and LSCC as cancer lineages where SNHG1 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 SNHG1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SNHG1 survival associations across molecular data types. SNHG1 RNA expression shows survival associations in the most cancer types (25). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SNHG1 RNA expression–survival associations across cancer types. High SNHG1 expression shows unfavorable associations in ACC, KICH, LIHC, KIRC and KIRP, but favorable associations in UCS. 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 SNHG1 RNA expression.
This table summarizes SNHG1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for SNHG1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SNHG1 shows higher tumor expression in BLCA, COAD, HNSC, KIRC, LIHC and LUAD. The BLCA box plot shows higher SNHG1 RNA expression in tumor versus normal tissue (log2 FC = +2.295, t-test p < 0.001).
This table shows molecular features associated with SNHG1 in patient tissues and cancer cell lines. In patient samples, SNHG1 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
