small nuclear ribonucleoprotein polypeptide C pseudogene 8Genealiases: []
Q-omics provides the consensus-scored SNRPCP8 profile across patient tissues and cancer cell-line models. SNRPCP8 expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in READ. Among the 18 cancer types available for tumor–normal comparison, SNRPCP8 is differentially expressed in 5, with the highest sampling consensus in KIRP. Additionally, SNRPCP8 RNA expression shows 5,488 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight READ, KIRP, and STAD as cancer lineages where SNRPCP8 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 SNRPCP8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SNRPCP8 survival associations across molecular data types. SNRPCP8 RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SNRPCP8 RNA expression–survival associations across cancer types. High SNRPCP8 expression shows unfavorable associations in THYM, LAML, ESCA and ACC, but favorable associations in READ and CESC. The READ Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .003). Together, the overview and detailed table identify READ as the clearest survival context for SNRPCP8 RNA expression.
This table summarizes SNRPCP8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in LUAD for RNA.
This table ranks reproducible tumor–normal expression differences for SNRPCP8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SNRPCP8 shows lower tumor expression in KIRP and KIRC and higher tumor expression in LUAD, PRAD and BRCA. The KIRP box plot shows higher SNRPCP8 RNA expression in normal versus tumor tissue (log2 FC = −0.242, t-test p = .042).
This table shows molecular features associated with SNRPCP8 in patient tissues and cancer cell lines. In patient samples, SNRPCP8 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
