Q-omics provides the consensus-scored SETP1 profile across patient tissues and cancer cell-line models. SETP1 expression is associated with patient survival in 14 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, SETP1 is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, SETP1 RNA expression shows 6,678 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight ACC, KIRC, and STAD as cancer lineages where SETP1 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 SETP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SETP1 survival associations across molecular data types. SETP1 RNA expression shows survival associations in the most cancer types (14). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SETP1 RNA expression–survival associations across cancer types. High SETP1 expression shows unfavorable associations in ACC, MESO, THCA, COAD and KIRP, but favorable associations in LUSC. The ACC 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 ACC as the clearest survival context for SETP1 RNA expression.
This table summarizes SETP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for SETP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SETP1 shows higher tumor expression in KIRC, BRCA, HNSC, LIHC, COAD and THCA. The KIRC box plot shows higher SETP1 RNA expression in tumor versus normal tissue (log2 FC = +0.408, t-test p < 0.001).
This table shows molecular features associated with SETP1 in patient tissues and cancer cell lines. In patient samples, SETP1 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
