piggyBac transposable element derived 1Genealiases: HUCEP-4 · SCAND4 · dJ874C20.4
Q-omics provides the consensus-scored PGBD1 profile across patient tissues and cancer cell-line models. PGBD1 expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, PGBD1 is differentially expressed in 10, with the highest sampling consensus in HNSC. Additionally, PGBD1 RNA expression shows 21,046 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight LIHC, HNSC, and GBM as cancer lineages where PGBD1 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 PGBD1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PGBD1 survival associations across molecular data types. PGBD1 RNA expression shows survival associations in the most cancer types (28), followed by mutation status (6) 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 PGBD1 RNA expression–survival associations across cancer types. High PGBD1 expression shows unfavorable associations in LIHC, MESO, SKCM and ACC, but favorable associations in UCS and KIRC. The LIHC 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 LIHC as the clearest survival context for PGBD1 RNA expression.
This table summarizes PGBD1 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 2. The strongest signals are observed in HNSC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for PGBD1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PGBD1 shows lower tumor expression in THCA, LUAD and KICH and higher tumor expression in HNSC, LIHC and CHOL. The HNSC box plot shows higher PGBD1 RNA expression in tumor versus normal tissue (log2 FC = +0.940, t-test p < 0.001).
This table shows molecular features associated with PGBD1 in patient tissues and cancer cell lines. In patient samples, PGBD1 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, PGBD1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS and BLOOD_Leukemia.
