Q-omics provides the consensus-scored SNAPC4 profile across patient tissues and cancer cell-line models. SNAPC4 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, SNAPC4 is differentially expressed in 13, with the highest sampling consensus in COAD. Additionally, SNAPC4 RNA expression shows 19,727 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and COAD as cancer lineages where SNAPC4 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 SNAPC4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SNAPC4 survival associations across molecular data types. SNAPC4 RNA expression shows survival associations in the most cancer types (23), 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 SNAPC4 RNA expression–survival associations across cancer types. High SNAPC4 expression shows unfavorable associations in ACC, MESO, KIRC, BLCA and LIHC, but favorable associations in UVM. 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 SNAPC4 RNA expression.
This table summarizes SNAPC4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 3. The strongest signals are observed in COAD for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for SNAPC4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SNAPC4 shows higher tumor expression in COAD, STAD, HNSC, LIHC, CHOL and READ. The COAD box plot shows higher SNAPC4 RNA expression in tumor versus normal tissue (log2 FC = +1.315, t-test p < 0.001).
This table shows molecular features associated with SNAPC4 in patient tissues and cancer cell lines. In patient samples, SNAPC4 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, SNAPC4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in BREAST and BLOOD_Lymphoma.
