synaptosome associated protein 23 pseudogene 1Genealiases: SNAP23P · dJ155G6.3
Q-omics provides the consensus-scored SNAP23P1 profile across patient tissues and cancer cell-line models. SNAP23P1 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, SNAP23P1 is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, SNAP23P1 RNA expression shows 12,452 significant gene co-expression associations, with the highest sampling consensus in DLBC. Together, these results highlight ACC, HNSC, and DLBC as cancer lineages where SNAP23P1 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 SNAP23P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SNAP23P1 survival associations across molecular data types. SNAP23P1 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SNAP23P1 RNA expression–survival associations across cancer types. High SNAP23P1 expression shows unfavorable associations in ACC, THCA, THYM and LIHC, but favorable associations in ESCA and UCS. 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 SNAP23P1 RNA expression.
This table summarizes SNAP23P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for SNAP23P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SNAP23P1 shows lower tumor expression in KICH and higher tumor expression in HNSC, BRCA, BLCA, COAD and LUSC. The HNSC box plot shows higher SNAP23P1 RNA expression in tumor versus normal tissue (log2 FC = +0.217, t-test p = .001).
This table shows molecular features associated with SNAP23P1 in patient tissues and cancer cell lines. In patient samples, SNAP23P1 shows the broadest associations at the RNA and protein expression levels, with DLBC recurring as the lineage with the largest associated feature set.
