Q-omics provides the consensus-scored SAP30-DT profile across patient tissues and cancer cell-line models. SAP30-DT expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, SAP30-DT is differentially expressed in 15, with the highest sampling consensus in KIRC. Additionally, SAP30-DT RNA expression shows 18,103 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KICH, KIRC, and UVM as cancer lineages where SAP30-DT 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 SAP30-DT — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SAP30-DT survival associations across molecular data types. SAP30-DT RNA expression shows survival associations in the most cancer types (18). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SAP30-DT RNA expression–survival associations across cancer types. High SAP30-DT expression shows unfavorable associations in KICH, UVM, LGG, READ, LIHC and ACC. The KICH Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify KICH as the clearest survival context for SAP30-DT RNA expression.
This table summarizes SAP30-DT tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for SAP30-DT. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SAP30-DT shows lower tumor expression in THCA, KICH, BLCA and UCEC and higher tumor expression in KIRC and HNSC. The KIRC box plot shows higher SAP30-DT RNA expression in tumor versus normal tissue (log2 FC = +2.115, t-test p < 0.001).
This table shows molecular features associated with SAP30-DT in patient tissues and cancer cell lines. In patient samples, SAP30-DT shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
