Q-omics provides the consensus-scored PPP3R1 profile across patient tissues and cancer cell-line models. PPP3R1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, PPP3R1 is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, PPP3R1 protein abundance shows 27,706 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRP, HNSC, and GBM as cancer lineages where PPP3R1 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 PPP3R1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPP3R1 survival associations across molecular data types. PPP3R1 RNA expression shows survival associations in the most cancer types (22), 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 PPP3R1 RNA expression–survival associations across cancer types. High PPP3R1 expression shows unfavorable associations in KIRP, ACC, UCEC, UVM and BLCA, but favorable associations in KIRC. The KIRP 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 KIRP as the clearest survival context for PPP3R1 RNA expression.
This table summarizes PPP3R1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 5. The strongest signals are observed in HNSC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for PPP3R1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPP3R1 shows lower tumor expression in KICH and higher tumor expression in HNSC, KIRC, LIHC, STAD and BLCA. The HNSC box plot shows higher PPP3R1 RNA expression in tumor versus normal tissue (log2 FC = +0.713, t-test p < 0.001).
This table shows molecular features associated with PPP3R1 in patient tissues and cancer cell lines. In patient samples, PPP3R1 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, PPP3R1 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 STOMACH and BLOOD_Leukemia.
