Q-omics provides the consensus-scored RTN3P1 profile across patient tissues and cancer cell-line models. RTN3P1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, RTN3P1 is differentially expressed in 6, with the highest sampling consensus in THCA. Additionally, RTN3P1 RNA expression shows 15,224 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UVM, THCA, and ACC as cancer lineages where RTN3P1 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 RTN3P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RTN3P1 survival associations across molecular data types. RTN3P1 RNA expression shows survival associations in the most cancer types (24). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RTN3P1 RNA expression–survival associations across cancer types. High RTN3P1 expression shows unfavorable associations in UVM, PAAD and LIHC, but favorable associations in KIRC, UCS and READ. 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 RTN3P1 RNA expression.
This table summarizes RTN3P1 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 THCA for RNA.
This table ranks reproducible tumor–normal expression differences for RTN3P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RTN3P1 shows lower tumor expression in THCA and PAAD and higher tumor expression in LIHC, COAD, BRCA and LUAD. The THCA box plot shows higher RTN3P1 RNA expression in normal versus tumor tissue (log2 FC = −0.460, t-test p < 0.001).
This table shows molecular features associated with RTN3P1 in patient tissues and cancer cell lines. In patient samples, RTN3P1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
