centromere protein EGenealiases: CENP-E · KIF10 · MCPH13 · PPP1R61
Q-omics provides the consensus-scored CENPE profile across patient tissues and cancer cell-line models. CENPE expression is associated with patient survival in 30 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, CENPE is differentially expressed in 17, with the highest sampling consensus in HNSC. Additionally, CENPE RNA expression shows 25,341 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRP, HNSC, and LSCC as cancer lineages where CENPE 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 CENPE — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CENPE survival associations across molecular data types. CENPE RNA expression shows survival associations in the most cancer types (30), followed by mutation status (8) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CENPE RNA expression–survival associations across cancer types. High CENPE expression shows unfavorable associations in KIRP, MESO, ACC, UVM, KICH and LIHC. The KIRP 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 KIRP as the clearest survival context for CENPE RNA expression.
This table summarizes CENPE tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 17, while mass-spec protein shows differences in 5. The strongest signals are observed in HNSC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for CENPE. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CENPE shows higher tumor expression in HNSC, BLCA, KIRP, KIRC, STAD and LUAD. The HNSC box plot shows higher CENPE RNA expression in tumor versus normal tissue (log2 FC = +1.693, t-test p < 0.001).
This table shows molecular features associated with CENPE in patient tissues and cancer cell lines. In patient samples, CENPE shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, CENPE RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and BLOOD_Leukemia.
