protein phosphatase, Mg2+/Mn2+ dependent 1GGenealiases: PP2CG · PP2CGAMMA · PPP2CG
Q-omics provides the consensus-scored PPM1G profile across patient tissues and cancer cell-line models. PPM1G expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, PPM1G is differentially expressed in 16, with the highest sampling consensus in HNSC. Additionally, PPM1G protein abundance shows 39,564 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, HNSC, and GBM as cancer lineages where PPM1G 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 PPM1G — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPM1G survival associations across molecular data types. PPM1G RNA expression shows survival associations in the most cancer types (27), followed by mutation status (4) and mass-spec protein abundance (11). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PPM1G RNA expression–survival associations across cancer types. High PPM1G expression shows unfavorable associations in ACC, MESO, KIRP, LIHC and LUAD, but favorable associations in OV. The ACC 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 ACC as the clearest survival context for PPM1G RNA expression.
This table summarizes PPM1G tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16, while mass-spec protein shows differences in 11. The strongest signals are observed in HNSC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for PPM1G. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPM1G shows higher tumor expression in HNSC, COAD, LUAD, BLCA, STAD and LIHC. The HNSC box plot shows higher PPM1G RNA expression in tumor versus normal tissue (log2 FC = +1.133, t-test p < 0.001).
This table shows molecular features associated with PPM1G in patient tissues and cancer cell lines. In patient samples, PPM1G 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, PPM1G RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in SKIN and UPPER_AERODIGESTIVE_TRACT.
