Q-omics provides the consensus-scored RRN3P3 profile across patient tissues and cancer cell-line models. RRN3P3 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RRN3P3 is differentially expressed in 10, with the highest sampling consensus in THCA. Additionally, RRN3P3 RNA expression shows 19,935 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight ACC, THCA, and UVM as cancer lineages where RRN3P3 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 RRN3P3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RRN3P3 survival associations across molecular data types. RRN3P3 RNA expression shows survival associations in the most cancer types (23), 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 RRN3P3 RNA expression–survival associations across cancer types. High RRN3P3 expression shows unfavorable associations in ACC, UVM, LIHC, SKCM and LGG, but favorable associations in BLCA. 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 RRN3P3 RNA expression.
This table summarizes RRN3P3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for RRN3P3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RRN3P3 shows lower tumor expression in THCA and higher tumor expression in LIHC, HNSC, KIRC, STAD and CHOL. The THCA box plot shows higher RRN3P3 RNA expression in normal versus tumor tissue (log2 FC = −0.580, t-test p < 0.001).
This table shows molecular features associated with RRN3P3 in patient tissues and cancer cell lines. In patient samples, RRN3P3 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
