Q-omics provides the consensus-scored PPP2R2D profile across patient tissues and cancer cell-line models. PPP2R2D expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, PPP2R2D is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, PPP2R2D protein abundance shows 23,795 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, HNSC, and GBM as cancer lineages where PPP2R2D 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 PPP2R2D — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPP2R2D survival associations across molecular data types. PPP2R2D RNA expression shows survival associations in the most cancer types (20), followed by mutation status (5) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PPP2R2D RNA expression–survival associations across cancer types. High PPP2R2D expression shows unfavorable associations in ACC, HNSC, COAD and BLCA, but favorable associations in LGG and THYM. 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 PPP2R2D RNA expression.
This table summarizes PPP2R2D tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 7. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for PPP2R2D. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPP2R2D shows lower tumor expression in THCA and KICH and higher tumor expression in HNSC, COAD, LIHC and STAD. The HNSC box plot shows higher PPP2R2D RNA expression in tumor versus normal tissue (log2 FC = +0.645, t-test p < 0.001).
This table shows molecular features associated with PPP2R2D in patient tissues and cancer cell lines. In patient samples, PPP2R2D 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, PPP2R2D RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUSC.
