Q-omics provides the consensus-scored PIPOX profile across patient tissues and cancer cell-line models. PIPOX expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, PIPOX is differentially expressed in 14, with the highest sampling consensus in KIRP. Additionally, PIPOX RNA expression shows 18,729 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight SKCM, KIRP, and UVM as cancer lineages where PIPOX 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 PIPOX — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PIPOX survival associations across molecular data types. PIPOX RNA expression shows survival associations in the most cancer types (22), followed by mutation status (5) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PIPOX RNA expression–survival associations across cancer types. High PIPOX expression shows unfavorable associations in ACC and LGG, but favorable associations in SKCM, KIRC, UCS and PAAD. The SKCM Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify SKCM as the clearest survival context for PIPOX RNA expression.
This table summarizes PIPOX 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 1. The strongest signals are observed in KIRP for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for PIPOX. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PIPOX shows lower tumor expression in KIRP, KICH, UCEC and BLCA and higher tumor expression in HNSC and THCA. The KIRP box plot shows higher PIPOX RNA expression in normal versus tumor tissue (log2 FC = −5.074, t-test p < 0.001).
This table shows molecular features associated with PIPOX in patient tissues and cancer cell lines. In patient samples, PIPOX shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, PIPOX 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 SOFT_TISSUE and LARGE_INTESTINE.
