Q-omics provides the consensus-scored SOWAHB profile across patient tissues and cancer cell-line models. SOWAHB expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, SOWAHB is differentially expressed in 12, with the highest sampling consensus in KIRC. Additionally, SOWAHB RNA expression shows 17,889 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRC, and THYM as cancer lineages where SOWAHB 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 SOWAHB — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SOWAHB survival associations across molecular data types. SOWAHB RNA expression shows survival associations in the most cancer types (26), followed by mutation status (5) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SOWAHB RNA expression–survival associations across cancer types. High SOWAHB expression shows unfavorable associations in SKCM, DLBC and UVM, but favorable associations in KIRC, HNSC and BRCA. 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 SOWAHB RNA expression.
This table summarizes SOWAHB 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 3. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for SOWAHB. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SOWAHB shows lower tumor expression in KIRC, COAD, KIRP, HNSC and READ and higher tumor expression in LUAD. The KIRC box plot shows higher SOWAHB RNA expression in normal versus tumor tissue (log2 FC = −1.312, t-test p < 0.001).
This table shows molecular features associated with SOWAHB in patient tissues and cancer cell lines. In patient samples, SOWAHB shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, SOWAHB RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and LUNG_NSCLC_LUAD.
