phosphatidylinositol glycan anchor biosynthesis class OGenealiases: HPMRS2 · hGPCR43
Q-omics provides the consensus-scored PIGO profile across patient tissues and cancer cell-line models. PIGO expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, PIGO is differentially expressed in 12, with the highest sampling consensus in BLCA. Additionally, PIGO RNA expression shows 19,751 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, BLCA, and ACC as cancer lineages where PIGO 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 PIGO — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PIGO survival associations across molecular data types. PIGO RNA expression shows survival associations in the most cancer types (24), followed by mutation status (10) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PIGO RNA expression–survival associations across cancer types. High PIGO expression shows unfavorable associations in UVM, MESO, LIHC and ACC, but favorable associations in KIRC and UCS. The KIRC 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 KIRC as the clearest survival context for PIGO RNA expression.
This table summarizes PIGO tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 5. The strongest signals are observed in HNSC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for PIGO. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PIGO shows lower tumor expression in THCA and higher tumor expression in BLCA, HNSC, COAD, LIHC and STAD. The BLCA box plot shows higher PIGO RNA expression in tumor versus normal tissue (log2 FC = +1.101, t-test p < 0.001).
This table shows molecular features associated with PIGO in patient tissues and cancer cell lines. In patient samples, PIGO 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, PIGO RNA and mutation anchors are most strongly linked to RNA-expression features, especially in STOMACH, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and BLOOD_Lymphoma.
