high mobility group box 1 pseudogene 1Genealiases: HMG1L1 · HMG1L7 · HMGB1L1 · dJ579F20.1
Q-omics provides the consensus-scored HMGB1P1 profile across patient tissues and cancer cell-line models. HMGB1P1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, HMGB1P1 is differentially expressed in 12, with the highest sampling consensus in BLCA. Additionally, HMGB1P1 RNA expression shows 16,193 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight HNSC, BLCA, and UVM as cancer lineages where HMGB1P1 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 HMGB1P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HMGB1P1 survival associations across molecular data types. HMGB1P1 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HMGB1P1 RNA expression–survival associations across cancer types. High HMGB1P1 expression shows unfavorable associations in HNSC, UVM, UCEC, COAD, LGG and CESC. The HNSC 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 HNSC as the clearest survival context for HMGB1P1 RNA expression.
This table summarizes HMGB1P1 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 1. The strongest signals are observed in BLCA for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for HMGB1P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HMGB1P1 shows lower tumor expression in BLCA, THCA and READ and higher tumor expression in CHOL, LIHC and HNSC. The BLCA box plot shows higher HMGB1P1 RNA expression in normal versus tumor tissue (log2 FC = −1.178, t-test p = .012).
This table shows molecular features associated with HMGB1P1 in patient tissues and cancer cell lines. In patient samples, HMGB1P1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
