Q-omics provides the consensus-scored PKMP2 profile across patient tissues and cancer cell-line models. PKMP2 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in THYM. Among the 18 cancer types available for tumor–normal comparison, PKMP2 is differentially expressed in 6, with the highest sampling consensus in HNSC. Additionally, PKMP2 RNA expression shows 8,652 significant gene co-expression associations, with the highest sampling consensus in LIHC. Together, these results highlight THYM, HNSC, and LIHC as cancer lineages where PKMP2 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 PKMP2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PKMP2 survival associations across molecular data types. PKMP2 RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PKMP2 RNA expression–survival associations across cancer types. High PKMP2 expression shows unfavorable associations in THYM, LUAD, PAAD, STAD and BRCA, but favorable associations in KIRC. The THYM Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify THYM as the clearest survival context for PKMP2 RNA expression.
This table summarizes PKMP2 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 HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for PKMP2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PKMP2 shows higher tumor expression in HNSC, COAD, LUAD, BRCA, KIRC and LUSC. The HNSC box plot shows higher PKMP2 RNA expression in tumor versus normal tissue (log2 FC = +0.089, t-test p < 0.001).
This table shows molecular features associated with PKMP2 in patient tissues and cancer cell lines. In patient samples, PKMP2 shows the broadest associations at the RNA and protein expression levels, with LIHC recurring as the lineage with the largest associated feature set.
