synaptosome associated protein 29Genealiases: CEDNIK · SNAP-29
Q-omics provides the consensus-scored SNAP29 profile across patient tissues and cancer cell-line models. SNAP29 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, SNAP29 is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, SNAP29 RNA expression shows 19,621 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and HNSC as cancer lineages where SNAP29 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 SNAP29 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SNAP29 survival associations across molecular data types. SNAP29 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (2) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SNAP29 RNA expression–survival associations across cancer types. High SNAP29 expression shows unfavorable associations in ACC, KICH, LUAD and LUSC, but favorable associations in KIRC and ESCA. The ACC 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 ACC as the clearest survival context for SNAP29 RNA expression.
This table summarizes SNAP29 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 6. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for SNAP29. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SNAP29 shows lower tumor expression in COAD and THCA and higher tumor expression in HNSC, LIHC, KIRC and BRCA. The HNSC box plot shows higher SNAP29 RNA expression in tumor versus normal tissue (log2 FC = +0.787, t-test p < 0.001).
This table shows molecular features associated with SNAP29 in patient tissues and cancer cell lines. In patient samples, SNAP29 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, SNAP29 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and BLOOD_Leukemia.
