Y-box binding protein 1 pseudogene 4Genealiases: []
Q-omics provides the consensus-scored YBX1P4 profile across patient tissues and cancer cell-line models. YBX1P4 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, YBX1P4 is differentially expressed in 7, with the highest sampling consensus in KIRC. Additionally, YBX1P4 RNA expression shows 12,284 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight HNSC, KIRC, and KIRP as cancer lineages where YBX1P4 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 YBX1P4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes YBX1P4 survival associations across molecular data types. YBX1P4 RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible YBX1P4 RNA expression–survival associations across cancer types. High YBX1P4 expression shows unfavorable associations in LIHC, KICH and ACC, but favorable associations in HNSC, UCS and PAAD. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify HNSC as the clearest survival context for YBX1P4 RNA expression.
This table summarizes YBX1P4 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 KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for YBX1P4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. YBX1P4 shows lower tumor expression in THCA and LUAD and higher tumor expression in KIRC, LIHC, CHOL and HNSC. The KIRC box plot shows higher YBX1P4 RNA expression in tumor versus normal tissue (log2 FC = +0.074, t-test p = .001).
This table shows molecular features associated with YBX1P4 in patient tissues and cancer cell lines. In patient samples, YBX1P4 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set.
