Q-omics provides the consensus-scored RNY4P19 profile across patient tissues and cancer cell-line models. RNY4P19 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, RNY4P19 is differentially expressed in 6, with the highest sampling consensus in LUAD. Additionally, RNY4P19 RNA expression shows 10,436 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight UVM, LUAD, and LSCC as cancer lineages where RNY4P19 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 RNY4P19 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNY4P19 survival associations across molecular data types. RNY4P19 RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNY4P19 RNA expression–survival associations across cancer types. High RNY4P19 expression shows unfavorable associations in UVM, MESO, KIRP, UCEC, PCPG and DLBC. 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 RNY4P19 RNA expression.
This table summarizes RNY4P19 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 LUAD for RNA.
This table ranks reproducible tumor–normal expression differences for RNY4P19. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNY4P19 shows lower tumor expression in KICH, KIRC and READ and higher tumor expression in LUAD, LUSC and STAD. The LUAD box plot shows higher RNY4P19 RNA expression in tumor versus normal tissue (log2 FC = +1.361, t-test p < 0.001).
This table shows molecular features associated with RNY4P19 in patient tissues and cancer cell lines. In patient samples, RNY4P19 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
