small nuclear ribonucleoprotein polypeptide C pseudogene 15Genealiases: []
Q-omics provides the consensus-scored SNRPCP15 profile across patient tissues and cancer cell-line models. SNRPCP15 expression is associated with patient survival in 14 of 34 cancer types, with the highest sampling consensus in THCA. Among the 18 cancer types available for tumor–normal comparison, SNRPCP15 is differentially expressed in 4, with the highest sampling consensus in KICH. Additionally, SNRPCP15 RNA expression shows 4,040 significant pathway-activity associations, with the highest sampling consensus in ESCA. Together, these results highlight THCA, KICH, and ESCA as cancer lineages where SNRPCP15 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 SNRPCP15 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SNRPCP15 survival associations across molecular data types. SNRPCP15 RNA expression shows survival associations in the most cancer types (14). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SNRPCP15 RNA expression–survival associations across cancer types. High SNRPCP15 expression shows unfavorable associations in THCA, SARC, ESCA, MESO and STAD, but favorable associations in LUSC. The THCA 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 THCA as the clearest survival context for SNRPCP15 RNA expression.
This table summarizes SNRPCP15 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for SNRPCP15. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SNRPCP15 shows lower tumor expression in KICH, KIRP and HNSC and higher tumor expression in STAD. The KICH box plot shows higher SNRPCP15 RNA expression in normal versus tumor tissue (log2 FC = −0.257, t-test p = .004).
This table shows molecular features associated with SNRPCP15 in patient tissues and cancer cell lines. In patient samples, SNRPCP15 shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set.
