Q-omics provides the consensus-scored HMGA1P8 profile across patient tissues and cancer cell-line models. HMGA1P8 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, HMGA1P8 is differentially expressed in 13, with the highest sampling consensus in COAD. Additionally, HMGA1P8 RNA expression shows 17,679 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight LIHC, COAD, and KIRP as cancer lineages where HMGA1P8 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 HMGA1P8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HMGA1P8 survival associations across molecular data types. HMGA1P8 RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HMGA1P8 RNA expression–survival associations across cancer types. High HMGA1P8 expression shows unfavorable associations in LIHC, LGG, HNSC, KIRC and CHOL, but favorable associations in OV. The LIHC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .004). Together, the overview and detailed table identify LIHC as the clearest survival context for HMGA1P8 RNA expression.
This table summarizes HMGA1P8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for HMGA1P8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HMGA1P8 shows lower tumor expression in KICH and higher tumor expression in COAD, STAD, BLCA, HNSC and BRCA. The COAD box plot shows higher HMGA1P8 RNA expression in tumor versus normal tissue (log2 FC = +1.621, t-test p < 0.001).
This table shows molecular features associated with HMGA1P8 in patient tissues and cancer cell lines. In patient samples, HMGA1P8 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set.
