protein phosphatase 1 regulatory inhibitor subunit 1AGenealiases: I1 · IPP1
Q-omics provides the consensus-scored PPP1R1A profile across patient tissues and cancer cell-line models. PPP1R1A expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, PPP1R1A is differentially expressed in 15, with the highest sampling consensus in KICH. Additionally, PPP1R1A protein abundance shows 20,092 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UVM, KICH, and GBM as cancer lineages where PPP1R1A 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 PPP1R1A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPP1R1A survival associations across molecular data types. PPP1R1A RNA expression shows survival associations in the most cancer types (22), followed by mutation status (1) 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 PPP1R1A RNA expression–survival associations across cancer types. High PPP1R1A expression shows unfavorable associations in UVM, KIRC, UCEC and COAD, but favorable associations in LGG and DLBC. The UVM 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 UVM as the clearest survival context for PPP1R1A RNA expression.
This table summarizes PPP1R1A tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 8. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for PPP1R1A. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPP1R1A shows lower tumor expression in KICH, KIRC, HNSC, COAD, BRCA and LIHC. The KICH box plot shows higher PPP1R1A RNA expression in normal versus tumor tissue (log2 FC = −7.490, t-test p < 0.001).
This table shows molecular features associated with PPP1R1A in patient tissues and cancer cell lines. In patient samples, PPP1R1A shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, PPP1R1A RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in BONE and UPPER_AERODIGESTIVE_TRACT.
