ribosomal protein S4X pseudogene 7Genealiases: RPS4P7 · RPS4X_3_659
Q-omics provides the consensus-scored RPS4XP7 profile across patient tissues and cancer cell-line models. RPS4XP7 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in READ. Among the 18 cancer types available for tumor–normal comparison, RPS4XP7 is differentially expressed in 7, with the highest sampling consensus in KICH. Additionally, RPS4XP7 RNA expression shows 7,388 significant gene co-expression associations, with the highest sampling consensus in LAML. Together, these results highlight READ, KICH, and LAML as cancer lineages where RPS4XP7 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 RPS4XP7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPS4XP7 survival associations across molecular data types. RPS4XP7 RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPS4XP7 RNA expression–survival associations across cancer types. High RPS4XP7 expression shows unfavorable associations in LIHC and KIRP, but favorable associations in READ, BLCA, SKCM and LUSC. The READ Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify READ as the clearest survival context for RPS4XP7 RNA expression.
This table summarizes RPS4XP7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for RPS4XP7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPS4XP7 shows lower tumor expression in KICH, KIRP, BRCA and LUSC and higher tumor expression in LIHC and LUAD. The KICH box plot shows higher RPS4XP7 RNA expression in normal versus tumor tissue (log2 FC = −0.310, t-test p < 0.001).
This table shows molecular features associated with RPS4XP7 in patient tissues and cancer cell lines. In patient samples, RPS4XP7 shows the broadest associations at the RNA and protein expression levels, with LAML recurring as the lineage with the largest associated feature set.
