Q-omics provides the consensus-scored PHYHIP profile across patient tissues and cancer cell-line models. PHYHIP expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, PHYHIP is differentially expressed in 15, with the highest sampling consensus in HNSC. Additionally, PHYHIP RNA expression shows 25,052 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UVM, HNSC, and GBM as cancer lineages where PHYHIP 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 PHYHIP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PHYHIP survival associations across molecular data types. PHYHIP RNA expression shows survival associations in the most cancer types (22), followed by mutation status (2) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PHYHIP RNA expression–survival associations across cancer types. High PHYHIP expression shows unfavorable associations in UVM, KIRC, STAD and COAD, but favorable associations in HNSC and ESCA. 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 PHYHIP RNA expression.
This table summarizes PHYHIP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for PHYHIP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PHYHIP shows lower tumor expression in HNSC, BLCA, KIRC, UCEC and KICH and higher tumor expression in THCA. The HNSC box plot shows higher PHYHIP RNA expression in normal versus tumor tissue (log2 FC = −1.664, t-test p < 0.001).
This table shows molecular features associated with PHYHIP in patient tissues and cancer cell lines. In patient samples, PHYHIP 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, PHYHIP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS and SKIN.
