small nuclear ribonucleoprotein polypeptide C pseudogene 14Genealiases: []
Q-omics provides the consensus-scored SNRPCP14 profile across patient tissues and cancer cell-line models. SNRPCP14 expression is associated with patient survival in 12 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, SNRPCP14 is differentially expressed in 2, with the highest sampling consensus in UCEC. Additionally, SNRPCP14 RNA expression shows 9,678 significant protein co-abundance associations, with the highest sampling consensus in OV. Together, these results highlight ACC, UCEC, and OV as cancer lineages where SNRPCP14 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 SNRPCP14 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SNRPCP14 survival associations across molecular data types. SNRPCP14 RNA expression shows survival associations in the most cancer types (12). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SNRPCP14 RNA expression–survival associations across cancer types. High SNRPCP14 expression shows unfavorable associations in ACC, STAD, TGCT, UVM and LIHC, but favorable associations in OV. The ACC 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 ACC as the clearest survival context for SNRPCP14 RNA expression.
This table summarizes SNRPCP14 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in UCEC for RNA.
This table ranks reproducible tumor–normal expression differences for SNRPCP14. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SNRPCP14 shows higher tumor expression in UCEC and KIRC. The UCEC box plot shows higher SNRPCP14 RNA expression in tumor versus normal tissue (log2 FC = +0.520, t-test p = .038).
This table shows molecular features associated with SNRPCP14 in patient tissues and cancer cell lines. In patient samples, SNRPCP14 shows the broadest associations at the RNA and protein expression levels, with OV recurring as the lineage with the largest associated feature set.
