high mobility group box 1 pseudogene 30Genealiases: []
Q-omics provides the consensus-scored HMGB1P30 profile across patient tissues and cancer cell-line models. HMGB1P30 expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, HMGB1P30 is differentially expressed in 1, with the highest sampling consensus in KICH. Additionally, HMGB1P30 RNA expression shows 7,065 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight HNSC, KICH, and THYM as cancer lineages where HMGB1P30 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 HMGB1P30 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HMGB1P30 survival associations across molecular data types. HMGB1P30 RNA expression shows survival associations in the most cancer types (13). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HMGB1P30 RNA expression–survival associations across cancer types. High HMGB1P30 expression shows unfavorable associations in HNSC, BRCA, UCEC, SARC, KIRP and SKCM. 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 HMGB1P30 RNA expression.
This table summarizes HMGB1P30 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for HMGB1P30. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HMGB1P30 shows higher tumor expression in KICH. The KICH box plot shows higher HMGB1P30 RNA expression in tumor versus normal tissue (log2 FC = +0.047, t-test p = .008).
This table shows molecular features associated with HMGB1P30 in patient tissues and cancer cell lines. In patient samples, HMGB1P30 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
