protein phosphatase 4 regulatory subunit 1 like (pseudogene)Genealiases: C20orf192 · PPP4R1P1 · PRO1085
Q-omics provides the consensus-scored PPP4R1L profile across patient tissues and cancer cell-line models. PPP4R1L expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, PPP4R1L is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, PPP4R1L RNA expression shows 19,298 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, HNSC, and UVM as cancer lineages where PPP4R1L 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 PPP4R1L — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPP4R1L survival associations across molecular data types. PPP4R1L RNA expression shows survival associations in the most cancer types (25), followed by mutation status (1) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PPP4R1L RNA expression–survival associations across cancer types. High PPP4R1L expression shows unfavorable associations in KIRC, STAD, BLCA and LGG, but favorable associations in SKCM and UCS. The KIRC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for PPP4R1L RNA expression.
This table summarizes PPP4R1L tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for PPP4R1L. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPP4R1L shows lower tumor expression in KICH, UCEC and BRCA and higher tumor expression in HNSC, KIRC and COAD. The HNSC box plot shows higher PPP4R1L RNA expression in tumor versus normal tissue (log2 FC = +0.908, t-test p < 0.001).
This table shows molecular features associated with PPP4R1L in patient tissues and cancer cell lines. In patient samples, PPP4R1L shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, PPP4R1L RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BLOOD_Leukemia.
