Q-omics provides the consensus-scored PPP1R8 profile across patient tissues and cancer cell-line models. PPP1R8 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, PPP1R8 is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, PPP1R8 protein abundance shows 22,252 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, HNSC, and GBM as cancer lineages where PPP1R8 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 PPP1R8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPP1R8 survival associations across molecular data types. PPP1R8 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (3) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PPP1R8 RNA expression–survival associations across cancer types. High PPP1R8 expression shows unfavorable associations in ACC, LIHC, LGG and KIRP, but favorable associations in UCS and KIRC. 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 PPP1R8 RNA expression.
This table summarizes PPP1R8 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 6. The strongest signals are observed in HNSC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for PPP1R8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPP1R8 shows lower tumor expression in KICH and higher tumor expression in HNSC, BLCA, LIHC, LUAD and CHOL. The HNSC box plot shows higher PPP1R8 RNA expression in tumor versus normal tissue (log2 FC = +0.622, t-test p < 0.001).
This table shows molecular features associated with PPP1R8 in patient tissues and cancer cell lines. In patient samples, PPP1R8 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, PPP1R8 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in OVARY and BLOOD_Leukemia.
