small nuclear RNA activating complex polypeptide 3Genealiases: PTFbeta · SNAP50
Q-omics provides the consensus-scored SNAPC3 profile across patient tissues and cancer cell-line models. SNAPC3 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, SNAPC3 is differentially expressed in 10, with the highest sampling consensus in LIHC. Additionally, SNAPC3 RNA expression shows 21,075 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, LIHC, and UVM as cancer lineages where SNAPC3 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 SNAPC3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SNAPC3 survival associations across molecular data types. SNAPC3 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (6) 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 SNAPC3 RNA expression–survival associations across cancer types. High SNAPC3 expression shows unfavorable associations in UVM, COAD, ACC, LIHC and HNSC, but favorable associations in KIRC. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for SNAPC3 RNA expression.
This table summarizes SNAPC3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 5. The strongest signals are observed in LIHC for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for SNAPC3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SNAPC3 shows higher tumor expression in LIHC, HNSC, COAD, BRCA, CHOL and READ. The LIHC box plot shows higher SNAPC3 RNA expression in tumor versus normal tissue (log2 FC = +0.867, t-test p < 0.001).
This table shows molecular features associated with SNAPC3 in patient tissues and cancer cell lines. In patient samples, SNAPC3 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, SNAPC3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and SOFT_TISSUE.
