synapse associated protein 1Genealiases: BSTA · PRO3113 · SAP47
Q-omics provides the consensus-scored SYAP1 profile across patient tissues and cancer cell-line models. SYAP1 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, SYAP1 is differentially expressed in 12, with the highest sampling consensus in LUAD. Additionally, SYAP1 RNA expression shows 18,770 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRP, LUAD, and UVM as cancer lineages where SYAP1 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 SYAP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SYAP1 survival associations across molecular data types. SYAP1 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (4) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SYAP1 RNA expression–survival associations across cancer types. High SYAP1 expression shows unfavorable associations in KIRP, LUAD, UVM, HNSC and LGG, but favorable associations in OV. The KIRP 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 KIRP as the clearest survival context for SYAP1 RNA expression.
This table summarizes SYAP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 5. The strongest signals are observed in LUAD for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for SYAP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SYAP1 shows lower tumor expression in THCA and higher tumor expression in LUAD, HNSC, BRCA, UCEC and STAD. The LUAD box plot shows higher SYAP1 RNA expression in tumor versus normal tissue (log2 FC = +0.809, t-test p < 0.001).
This table shows molecular features associated with SYAP1 in patient tissues and cancer cell lines. In patient samples, SYAP1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, SYAP1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC and BLOOD_Lymphoma.
