Q-omics provides the consensus-scored SNRPEP6 profile across patient tissues and cancer cell-line models. SNRPEP6 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, SNRPEP6 is differentially expressed in 7, with the highest sampling consensus in HNSC. Additionally, SNRPEP6 RNA expression shows 8,498 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight HNSC, and TGCT as cancer lineages where SNRPEP6 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 SNRPEP6 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SNRPEP6 survival associations across molecular data types. SNRPEP6 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SNRPEP6 RNA expression–survival associations across cancer types. High SNRPEP6 expression shows unfavorable associations in HNSC, ESCA, UCEC, ACC, SARC and CESC. The HNSC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify HNSC as the clearest survival context for SNRPEP6 RNA expression.
This table summarizes SNRPEP6 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for SNRPEP6. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SNRPEP6 shows higher tumor expression in HNSC, LIHC, BRCA, LUAD, LUSC and CHOL. The HNSC box plot shows higher SNRPEP6 RNA expression in tumor versus normal tissue (log2 FC = +0.354, t-test p < 0.001).
This table shows molecular features associated with SNRPEP6 in patient tissues and cancer cell lines. In patient samples, SNRPEP6 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
