Q-omics provides the consensus-scored SETP10 profile across patient tissues and cancer cell-line models. SETP10 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, SETP10 is differentially expressed in 6, with the highest sampling consensus in BRCA. Additionally, SETP10 RNA expression shows 12,362 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UVM, BRCA, and GBM as cancer lineages where SETP10 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 SETP10 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SETP10 survival associations across molecular data types. SETP10 RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SETP10 RNA expression–survival associations across cancer types. High SETP10 expression shows unfavorable associations in UVM, STAD, PRAD and SKCM, but favorable associations in COAD and READ. The UVM 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 UVM as the clearest survival context for SETP10 RNA expression.
This table summarizes SETP10 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for SETP10. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SETP10 shows higher tumor expression in BRCA, KIRP, HNSC, LIHC, ESCA and COAD. The BRCA box plot shows higher SETP10 RNA expression in tumor versus normal tissue (log2 FC = +0.149, t-test p = .049).
This table shows molecular features associated with SETP10 in patient tissues and cancer cell lines. In patient samples, SETP10 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
