Q-omics provides the consensus-scored TVP23B profile across patient tissues and cancer cell-line models. TVP23B expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, TVP23B is differentially expressed in 15, with the highest sampling consensus in KICH. Additionally, TVP23B RNA expression shows 19,104 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRP, KICH, and UVM as cancer lineages where TVP23B 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 TVP23B — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TVP23B survival associations across molecular data types. TVP23B RNA expression shows survival associations in the most cancer types (26), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TVP23B RNA expression–survival associations across cancer types. High TVP23B expression shows unfavorable associations in KIRP, HNSC, UVM and ACC, but favorable associations in KIRC and SKCM. The KIRP Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify KIRP as the clearest survival context for TVP23B RNA expression.
This table summarizes TVP23B tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for TVP23B. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TVP23B shows lower tumor expression in KICH and THCA and higher tumor expression in BLCA, STAD, LUAD and LUSC. The KICH box plot shows higher TVP23B RNA expression in normal versus tumor tissue (log2 FC = −1.119, t-test p < 0.001).
This table shows molecular features associated with TVP23B in patient tissues and cancer cell lines. In patient samples, TVP23B shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, TVP23B RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and BLOOD_Lymphoma.