pogo transposable element derived with ZNF domainGenealiases: MRD37 · WHSUS · ZNF280E · ZNF635 · ZNF635m
Q-omics provides the consensus-scored POGZ profile across patient tissues and cancer cell-line models. POGZ expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, POGZ is differentially expressed in 10, with the highest sampling consensus in HNSC. Additionally, POGZ protein abundance shows 24,978 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, HNSC, and GBM as cancer lineages where POGZ 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 POGZ — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes POGZ survival associations across molecular data types. POGZ RNA expression shows survival associations in the most cancer types (25), followed by mutation status (7) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible POGZ RNA expression–survival associations across cancer types. High POGZ expression shows unfavorable associations in ACC, LIHC and KIRP, but favorable associations in HNSC, GBM and UCS. The ACC 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 ACC as the clearest survival context for POGZ RNA expression.
This table summarizes POGZ tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 6. The strongest signals are observed in HNSC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for POGZ. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. POGZ shows lower tumor expression in KICH and higher tumor expression in HNSC, LIHC, STAD, BRCA and CHOL. The HNSC box plot shows higher POGZ RNA expression in tumor versus normal tissue (log2 FC = +0.543, t-test p < 0.001).
This table shows molecular features associated with POGZ in patient tissues and cancer cell lines. In patient samples, POGZ 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, POGZ 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 OESOPHAGUS and LARGE_INTESTINE.
