Q-omics provides the consensus-scored VN1R7P profile across patient tissues and cancer cell-line models. VN1R7P expression is associated with patient survival in 14 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, VN1R7P is differentially expressed in 2, with the highest sampling consensus in BRCA. Additionally, VN1R7P RNA expression shows 6,604 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight ACC, BRCA, and STAD as cancer lineages where VN1R7P 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 VN1R7P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes VN1R7P survival associations across molecular data types. VN1R7P RNA expression shows survival associations in the most cancer types (14). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible VN1R7P RNA expression–survival associations across cancer types. High VN1R7P expression shows unfavorable associations in ACC, KIRC, UVM, BRCA, PAAD and LUSC. The ACC 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 ACC as the clearest survival context for VN1R7P RNA expression.
This table summarizes VN1R7P 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 BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for VN1R7P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. VN1R7P shows lower tumor expression in BRCA and higher tumor expression in UCEC. The BRCA box plot shows higher VN1R7P RNA expression in normal versus tumor tissue (log2 FC = −0.025, t-test p = .001).
This table shows molecular features associated with VN1R7P in patient tissues and cancer cell lines. In patient samples, VN1R7P shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.