Q-omics provides the consensus-scored VN1R96P profile across patient tissues and cancer cell-line models. VN1R96P expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, VN1R96P is differentially expressed in 3, with the highest sampling consensus in COAD. Additionally, VN1R96P RNA expression shows 8,135 significant gene co-expression associations, with the highest sampling consensus in LIHC. Together, these results highlight UVM, COAD, and LIHC as cancer lineages where VN1R96P 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 VN1R96P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes VN1R96P survival associations across molecular data types. VN1R96P RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible VN1R96P RNA expression–survival associations across cancer types. High VN1R96P expression shows unfavorable associations in UVM, KIRC, TGCT, LIHC, BRCA and LUAD. The UVM 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 UVM as the clearest survival context for VN1R96P RNA expression.
This table summarizes VN1R96P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for VN1R96P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. VN1R96P shows lower tumor expression in COAD and higher tumor expression in HNSC and LUAD. The COAD box plot shows higher VN1R96P RNA expression in normal versus tumor tissue (log2 FC = −0.034, t-test p = .018).
This table shows molecular features associated with VN1R96P in patient tissues and cancer cell lines. In patient samples, VN1R96P shows the broadest associations at the RNA and protein expression levels, with LIHC recurring as the lineage with the largest associated feature set.
