Q-omics provides the consensus-scored TVP23CP1 profile across patient tissues and cancer cell-line models. TVP23CP1 expression is associated with patient survival in 14 of 34 cancer types, with the highest sampling consensus in READ. Among the 18 cancer types available for tumor–normal comparison, TVP23CP1 is differentially expressed in 6, with the highest sampling consensus in HNSC. Additionally, TVP23CP1 RNA expression shows 12,491 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight READ, HNSC, and LSCC as cancer lineages where TVP23CP1 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 TVP23CP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TVP23CP1 survival associations across molecular data types. TVP23CP1 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 TVP23CP1 RNA expression–survival associations across cancer types. High TVP23CP1 expression shows unfavorable associations in READ, UCEC, BLCA, KICH and LIHC, but favorable associations in LAML. The READ 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 READ as the clearest survival context for TVP23CP1 RNA expression.
This table summarizes TVP23CP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for TVP23CP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TVP23CP1 shows lower tumor expression in THCA and higher tumor expression in HNSC, BRCA, LUSC, KICH and LIHC. The HNSC box plot shows higher TVP23CP1 RNA expression in tumor versus normal tissue (log2 FC = +0.107, t-test p < 0.001).
This table shows molecular features associated with TVP23CP1 in patient tissues and cancer cell lines. In patient samples, TVP23CP1 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
