Q-omics provides the consensus-scored CENPA profile across patient tissues and cancer cell-line models. CENPA expression is associated with patient survival in 30 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, CENPA is differentially expressed in 17, with the highest sampling consensus in HNSC. Additionally, CENPA RNA expression shows 27,648 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, HNSC, and LSCC as cancer lineages where CENPA 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 CENPA — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CENPA survival associations across molecular data types. CENPA RNA expression shows survival associations in the most cancer types (30), followed by mutation status (4) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CENPA RNA expression–survival associations across cancer types. High CENPA expression shows unfavorable associations in ACC, KIRP, MESO, KIRC, LIHC and KICH. 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 CENPA RNA expression.
This table summarizes CENPA tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 17. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for CENPA. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CENPA shows higher tumor expression in HNSC, BLCA, LUAD, KIRP, COAD and KIRC. The HNSC box plot shows higher CENPA RNA expression in tumor versus normal tissue (log2 FC = +2.153, t-test p < 0.001).
This table shows molecular features associated with CENPA in patient tissues and cancer cell lines. In patient samples, CENPA 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, CENPA 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 BONE and BLOOD_Leukemia.
