DNA topoisomerase II alphaGenealiases: TOP2 · TOP2alpha · TOPIIA · TP2A
Q-omics provides the consensus-scored TOP2A profile across patient tissues and cancer cell-line models. TOP2A expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, TOP2A is differentially expressed in 16, with the highest sampling consensus in HNSC. Additionally, TOP2A protein abundance shows 32,860 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRP, HNSC, and LSCC as cancer lineages where TOP2A 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 TOP2A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TOP2A survival associations across molecular data types. TOP2A RNA expression shows survival associations in the most cancer types (26), followed by mutation status (9) and mass-spec protein abundance (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TOP2A RNA expression–survival associations across cancer types. High TOP2A expression shows unfavorable associations in KIRP, MESO, ACC, LIHC, KICH and PAAD. 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 TOP2A RNA expression.
This table summarizes TOP2A tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16, while mass-spec protein shows differences in 8. The strongest signals are observed in HNSC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for TOP2A. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TOP2A shows higher tumor expression in HNSC, BLCA, LUAD, KIRP, KIRC and THCA. The HNSC box plot shows higher TOP2A RNA expression in tumor versus normal tissue (log2 FC = +2.294, t-test p < 0.001).
This table shows molecular features associated with TOP2A in patient tissues and cancer cell lines. In patient samples, TOP2A 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, TOP2A RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LARGE_INTESTINE.
