poly(A) binding protein cytoplasmic 1 pseudogene 7Genealiases: []
Q-omics provides the consensus-scored PABPC1P7 profile across patient tissues and cancer cell-line models. PABPC1P7 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, PABPC1P7 is differentially expressed in 7, with the highest sampling consensus in KICH. Additionally, PABPC1P7 RNA expression shows 16,574 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRP, KICH, and UVM as cancer lineages where PABPC1P7 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 PABPC1P7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PABPC1P7 survival associations across molecular data types. PABPC1P7 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 PABPC1P7 RNA expression–survival associations across cancer types. High PABPC1P7 expression shows unfavorable associations in COAD, but favorable associations in KIRP, PAAD, HNSC, THYM and MESO. The KIRP 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 KIRP as the clearest survival context for PABPC1P7 RNA expression.
This table summarizes PABPC1P7 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 PABPC1P7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PABPC1P7 shows lower tumor expression in KICH, UCEC, KIRC, COAD, BRCA and BLCA. The KICH box plot shows higher PABPC1P7 RNA expression in normal versus tumor tissue (log2 FC = −0.195, t-test p < 0.001).
This table shows molecular features associated with PABPC1P7 in patient tissues and cancer cell lines. In patient samples, PABPC1P7 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.