Q-omics provides the consensus-scored DPP3P2 profile across patient tissues and cancer cell-line models. DPP3P2 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in CESC. Among the 18 cancer types available for tumor–normal comparison, DPP3P2 is differentially expressed in 6, with the highest sampling consensus in HNSC. Additionally, DPP3P2 RNA expression shows 6,144 significant pathway-activity associations, with the highest sampling consensus in UCEC. Together, these results highlight CESC, HNSC, and UCEC as cancer lineages where DPP3P2 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 DPP3P2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DPP3P2 survival associations across molecular data types. DPP3P2 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DPP3P2 RNA expression–survival associations across cancer types. High DPP3P2 expression shows unfavorable associations in CESC, DLBC, LUAD and KICH, but favorable associations in UVM and BRCA. The CESC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .015). Together, the overview and detailed table identify CESC as the clearest survival context for DPP3P2 RNA expression.
This table summarizes DPP3P2 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 KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for DPP3P2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DPP3P2 shows lower tumor expression in KIRC, KIRP and KICH and higher tumor expression in HNSC, COAD and PRAD. The HNSC box plot shows higher DPP3P2 RNA expression in tumor versus normal tissue (log2 FC = +0.025, t-test p = .018).
This table shows molecular features associated with DPP3P2 in patient tissues and cancer cell lines. In patient samples, DPP3P2 shows the broadest associations at the RNA and protein expression levels, with UCEC recurring as the lineage with the largest associated feature set.
