protein phosphatase 1 regulatory subunit 13 likeGenealiases: ARCME · CMAEA · IASPP · NKIP1 · RAI · RAI4
Q-omics provides the consensus-scored PPP1R13L profile across patient tissues and cancer cell-line models. PPP1R13L expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, PPP1R13L is differentially expressed in 14, with the highest sampling consensus in COAD. Additionally, PPP1R13L protein abundance shows 20,720 significant protein co-abundance associations, with the highest sampling consensus in HNSC. Together, these results highlight UVM, COAD, and HNSC as cancer lineages where PPP1R13L 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 PPP1R13L — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPP1R13L survival associations across molecular data types. PPP1R13L RNA expression shows survival associations in the most cancer types (24), followed by mutation status (6) and mass-spec protein abundance (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PPP1R13L RNA expression–survival associations across cancer types. High PPP1R13L expression shows unfavorable associations in LUAD, LIHC, OV, LGG and PAAD, but favorable associations in UVM. The UVM 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 UVM as the clearest survival context for PPP1R13L RNA expression.
This table summarizes PPP1R13L tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 6. The strongest signals are observed in KIRC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for PPP1R13L. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPP1R13L shows higher tumor expression in COAD, KIRC, THCA, LIHC, BLCA and LUSC. The COAD box plot shows higher PPP1R13L RNA expression in tumor versus normal tissue (log2 FC = +1.934, t-test p < 0.001).
This table shows molecular features associated with PPP1R13L in patient tissues and cancer cell lines. In patient samples, PPP1R13L shows the broadest associations at the RNA and protein expression levels, with HNSC recurring as the lineage with the largest associated feature set. In cancer cell lines, PPP1R13L RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS and BLOOD_Leukemia.
