poly(A) binding protein cytoplasmic 1 pseudogene 4Genealiases: PABPCP5 · PABPL2
Q-omics provides the consensus-scored PABPC1P4 profile across patient tissues and cancer cell-line models. PABPC1P4 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in STAD. Among the 18 cancer types available for tumor–normal comparison, PABPC1P4 is differentially expressed in 11, with the highest sampling consensus in KICH. Additionally, PABPC1P4 RNA expression shows 17,979 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight STAD, KICH, and THYM as cancer lineages where PABPC1P4 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 PABPC1P4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PABPC1P4 survival associations across molecular data types. PABPC1P4 RNA expression shows survival associations in the most cancer types (27). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PABPC1P4 RNA expression–survival associations across cancer types. High PABPC1P4 expression shows unfavorable associations in STAD, OV and KIRP, but favorable associations in SKCM, COAD and KIRC. The STAD Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .011). Together, the overview and detailed table identify STAD as the clearest survival context for PABPC1P4 RNA expression.
This table summarizes PABPC1P4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for PABPC1P4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PABPC1P4 shows lower tumor expression in KICH, KIRC, BLCA, KIRP, THCA and UCEC. The KICH box plot shows higher PABPC1P4 RNA expression in normal versus tumor tissue (log2 FC = −2.080, t-test p < 0.001).
This table shows molecular features associated with PABPC1P4 in patient tissues and cancer cell lines. In patient samples, PABPC1P4 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
