Q-omics provides the consensus-scored DNM1P32 profile across patient tissues and cancer cell-line models. DNM1P32 expression is associated with patient survival in 7 of 34 cancer types, with the highest sampling consensus in CESC. Among the 18 cancer types available for tumor–normal comparison, DNM1P32 is differentially expressed in 1, with the highest sampling consensus in BRCA. Additionally, DNM1P32 RNA expression shows 5,676 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight CESC, BRCA, and STAD as cancer lineages where DNM1P32 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 DNM1P32 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DNM1P32 survival associations across molecular data types. DNM1P32 RNA expression shows survival associations in the most cancer types (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DNM1P32 RNA expression–survival associations across cancer types. High DNM1P32 expression shows unfavorable associations in CESC, LUSC, SKCM, HNSC, KIRC and UCEC. The CESC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .004). Together, the overview and detailed table identify CESC as the clearest survival context for DNM1P32 RNA expression.
This table summarizes DNM1P32 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for DNM1P32. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DNM1P32 shows lower tumor expression in BRCA. The BRCA box plot shows higher DNM1P32 RNA expression in normal versus tumor tissue (log2 FC = −0.006, t-test p = .048).
This table shows molecular features associated with DNM1P32 in patient tissues and cancer cell lines. In patient samples, DNM1P32 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
