protein phosphatase 5 catalytic subunitGenealiases: PP5 · PPP5 · PPT
Q-omics provides the consensus-scored PPP5C profile across patient tissues and cancer cell-line models. PPP5C expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, PPP5C is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, PPP5C protein abundance shows 20,031 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight UVM, HNSC, and PDAC as cancer lineages where PPP5C 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 PPP5C — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPP5C survival associations across molecular data types. PPP5C RNA expression shows survival associations in the most cancer types (28), followed by mutation status (4) and mass-spec protein abundance (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PPP5C RNA expression–survival associations across cancer types. High PPP5C expression shows unfavorable associations in UVM, MESO, LIHC, LGG and ACC, but favorable associations in SCLC. 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 PPP5C RNA expression.
This table summarizes PPP5C 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 4. The strongest signals are observed in HNSC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for PPP5C. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPP5C shows higher tumor expression in HNSC, COAD, BLCA, LIHC, THCA and STAD. The HNSC box plot shows higher PPP5C RNA expression in tumor versus normal tissue (log2 FC = +0.577, t-test p < 0.001).
This table shows molecular features associated with PPP5C in patient tissues and cancer cell lines. In patient samples, PPP5C shows the broadest associations at the RNA and protein expression levels, with PDAC recurring as the lineage with the largest associated feature set. In cancer cell lines, PPP5C RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in BONE and LARGE_INTESTINE.