Q-omics provides the consensus-scored PPP3CA profile across patient tissues and cancer cell-line models. PPP3CA expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, PPP3CA is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, PPP3CA protein abundance shows 25,005 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UVM, HNSC, and GBM as cancer lineages where PPP3CA 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 PPP3CA — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPP3CA survival associations across molecular data types. PPP3CA RNA expression shows survival associations in the most cancer types (24), followed by mutation status (4) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PPP3CA RNA expression–survival associations across cancer types. High PPP3CA expression shows unfavorable associations in UVM, PAAD, OV and ACC, but favorable associations in KIRC and LGG. 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 PPP3CA RNA expression.
This table summarizes PPP3CA tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 6. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for PPP3CA. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPP3CA shows lower tumor expression in BRCA and higher tumor expression in HNSC, STAD, KIRC, PAAD and KICH. The HNSC box plot shows higher PPP3CA RNA expression in tumor versus normal tissue (log2 FC = +0.870, t-test p < 0.001).
This table shows molecular features associated with PPP3CA in patient tissues and cancer cell lines. In patient samples, PPP3CA 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, PPP3CA RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and SKIN.
