Q-omics provides the consensus-scored PAIP1P1 profile across patient tissues and cancer cell-line models. PAIP1P1 expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, PAIP1P1 is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, PAIP1P1 RNA expression shows 18,721 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight BLCA, KIRC, and UVM as cancer lineages where PAIP1P1 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 PAIP1P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PAIP1P1 survival associations across molecular data types. PAIP1P1 RNA expression shows survival associations in the most cancer types (18). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PAIP1P1 RNA expression–survival associations across cancer types. High PAIP1P1 expression shows unfavorable associations in KIRC, THCA and UVM, but favorable associations in BLCA, HNSC and GBM. The BLCA 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 BLCA as the clearest survival context for PAIP1P1 RNA expression.
This table summarizes PAIP1P1 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 PAIP1P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PAIP1P1 shows lower tumor expression in THCA and higher tumor expression in KIRC, LIHC, STAD, COAD and CHOL. The KIRC box plot shows higher PAIP1P1 RNA expression in tumor versus normal tissue (log2 FC = +0.176, t-test p < 0.001).
This table shows molecular features associated with PAIP1P1 in patient tissues and cancer cell lines. In patient samples, PAIP1P1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
