Q-omics provides the consensus-scored VENTXP1 profile across patient tissues and cancer cell-line models. VENTXP1 expression is associated with patient survival in 11 of 34 cancer types, with the highest sampling consensus in BLCA. Additionally, VENTXP1 RNA expression shows 5,408 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight BLCA, and STAD as cancer lineages where VENTXP1 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 VENTXP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes VENTXP1 survival associations across molecular data types. VENTXP1 RNA expression shows survival associations in the most cancer types (11). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible VENTXP1 RNA expression–survival associations across cancer types. High VENTXP1 expression shows unfavorable associations in BLCA, READ, KIRP, UCEC and UCS, but favorable associations in OV. The BLCA 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 BLCA as the clearest survival context for VENTXP1 RNA expression.
This table shows molecular features associated with VENTXP1 in patient tissues and cancer cell lines. In patient samples, VENTXP1 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set. In cancer cell lines, VENTXP1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in NCI60_ALL.
