Q-omics provides the consensus-scored SWSAP1 profile across patient tissues and cancer cell-line models. SWSAP1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, SWSAP1 is differentially expressed in 12, with the highest sampling consensus in KICH. Additionally, SWSAP1 RNA expression shows 19,400 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight MESO, KICH, and UVM as cancer lineages where SWSAP1 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 SWSAP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SWSAP1 survival associations across molecular data types. SWSAP1 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (3) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SWSAP1 RNA expression–survival associations across cancer types. High SWSAP1 expression shows unfavorable associations in UVM, LGG, SKCM and LAML, but favorable associations in MESO and STAD. The MESO 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 MESO as the clearest survival context for SWSAP1 RNA expression.
This table summarizes SWSAP1 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 2. The strongest signals are observed in KICH for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for SWSAP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SWSAP1 shows lower tumor expression in KICH and higher tumor expression in STAD, BRCA, LIHC, COAD and BLCA. The KICH box plot shows higher SWSAP1 RNA expression in normal versus tumor tissue (log2 FC = −1.183, t-test p < 0.001).
This table shows molecular features associated with SWSAP1 in patient tissues and cancer cell lines. In patient samples, SWSAP1 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, SWSAP1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in CNS and BLOOD_Lymphoma.
