Q-omics provides the consensus-scored HNRNPA1P23 profile across patient tissues and cancer cell-line models. HNRNPA1P23 expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in COAD. Among the 18 cancer types available for tumor–normal comparison, HNRNPA1P23 is differentially expressed in 6, with the highest sampling consensus in COAD. Additionally, HNRNPA1P23 RNA expression shows 11,280 significant gene co-expression associations, with the highest sampling consensus in DLBC. Together, these results highlight COAD, and DLBC as cancer lineages where HNRNPA1P23 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 HNRNPA1P23 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HNRNPA1P23 survival associations across molecular data types. HNRNPA1P23 RNA expression shows survival associations in the most cancer types (18). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HNRNPA1P23 RNA expression–survival associations across cancer types. High HNRNPA1P23 expression shows unfavorable associations in DLBC, PRAD, BLCA and LUAD, but favorable associations in COAD and THCA. The COAD Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify COAD as the clearest survival context for HNRNPA1P23 RNA expression.
This table summarizes HNRNPA1P23 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in LUSC for RNA.
This table ranks reproducible tumor–normal expression differences for HNRNPA1P23. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HNRNPA1P23 shows lower tumor expression in READ and higher tumor expression in COAD, BLCA, LUSC, UCEC and LIHC. The COAD box plot shows higher HNRNPA1P23 RNA expression in tumor versus normal tissue (log2 FC = +0.124, t-test p = .013).
This table shows molecular features associated with HNRNPA1P23 in patient tissues and cancer cell lines. In patient samples, HNRNPA1P23 shows the broadest associations at the RNA and protein expression levels, with DLBC recurring as the lineage with the largest associated feature set.
