Q-omics provides the consensus-scored VENTXP3 profile across patient tissues and cancer cell-line models. VENTXP3 expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, VENTXP3 is differentially expressed in 2, with the highest sampling consensus in LIHC. Additionally, VENTXP3 RNA expression shows 4,693 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight KIRC, LIHC, and STAD as cancer lineages where VENTXP3 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 VENTXP3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes VENTXP3 survival associations across molecular data types. VENTXP3 RNA expression shows survival associations in the most cancer types (13). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible VENTXP3 RNA expression–survival associations across cancer types. High VENTXP3 expression shows unfavorable associations in KIRC, COAD, UVM, MESO, THCA and KIRP. The KIRC 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 KIRC as the clearest survival context for VENTXP3 RNA expression.
This table summarizes VENTXP3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for VENTXP3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. VENTXP3 shows higher tumor expression in LIHC and LUSC. The LIHC box plot shows higher VENTXP3 RNA expression in tumor versus normal tissue (log2 FC = +0.049, t-test p = .003).
This table shows molecular features associated with VENTXP3 in patient tissues and cancer cell lines. In patient samples, VENTXP3 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
