phosphatidylinositol glycan anchor biosynthesis class Z (Gwada blood group)Genealiases: GPI-MT-IV · PIG-Z · SMP3
Q-omics provides the consensus-scored PIGZ profile across patient tissues and cancer cell-line models. PIGZ expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, PIGZ is differentially expressed in 12, with the highest sampling consensus in COAD. Additionally, PIGZ RNA expression shows 17,294 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, COAD, and ACC as cancer lineages where PIGZ 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 PIGZ — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PIGZ survival associations across molecular data types. PIGZ RNA expression shows survival associations in the most cancer types (19), followed by mutation status (4) 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 PIGZ RNA expression–survival associations across cancer types. High PIGZ expression shows unfavorable associations in KIRC, THCA, ACC and LIHC, but favorable associations in UVM and BLCA. The KIRC 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 KIRC as the clearest survival context for PIGZ RNA expression.
This table summarizes PIGZ tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for PIGZ. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PIGZ shows lower tumor expression in COAD and BRCA and higher tumor expression in LIHC, KIRP, CHOL and LUSC. The COAD box plot shows higher PIGZ RNA expression in normal versus tumor tissue (log2 FC = −2.618, t-test p < 0.001).
This table shows molecular features associated with PIGZ in patient tissues and cancer cell lines. In patient samples, PIGZ shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, PIGZ RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and BLOOD_Lymphoma.
