Q-omics provides the consensus-scored SETP3 profile across patient tissues and cancer cell-line models. SETP3 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, SETP3 is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, SETP3 RNA expression shows 15,884 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and HNSC as cancer lineages where SETP3 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 SETP3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SETP3 survival associations across molecular data types. SETP3 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SETP3 RNA expression–survival associations across cancer types. High SETP3 expression shows unfavorable associations in ACC, MESO, LUSC and PAAD, but favorable associations in UCS and COAD. The ACC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify ACC as the clearest survival context for SETP3 RNA expression.
This table summarizes SETP3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for SETP3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SETP3 shows higher tumor expression in HNSC, BRCA, COAD, READ, BLCA and LUSC. The HNSC box plot shows higher SETP3 RNA expression in tumor versus normal tissue (log2 FC = +0.219, t-test p < 0.001).
This table shows molecular features associated with SETP3 in patient tissues and cancer cell lines. In patient samples, SETP3 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
