centromere protein SGenealiases: APITD1 · CENP-S · FAAP16 · MHF1
Q-omics provides the consensus-scored CENPS profile across patient tissues and cancer cell-line models. CENPS expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, CENPS is differentially expressed in 15, with the highest sampling consensus in KICH. Additionally, CENPS RNA expression shows 19,285 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and KICH as cancer lineages where CENPS 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 CENPS — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CENPS survival associations across molecular data types. CENPS RNA expression shows survival associations in the most cancer types (27). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CENPS RNA expression–survival associations across cancer types. High CENPS expression shows unfavorable associations in UVM, KICH, LIHC, LGG and SCLC, but favorable associations in CESC. 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 CENPS RNA expression.
This table summarizes CENPS 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 KICH for RNA.
This table ranks reproducible tumor–normal expression differences for CENPS. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CENPS shows lower tumor expression in KICH and higher tumor expression in BLCA, STAD, LIHC, HNSC and BRCA. The KICH box plot shows higher CENPS RNA expression in normal versus tumor tissue (log2 FC = −2.447, t-test p < 0.001).
This table shows molecular features associated with CENPS in patient tissues and cancer cell lines. In patient samples, CENPS shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, CENPS RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LARGE_INTESTINE.
