Q-omics provides the consensus-scored HNRNPA1P9 profile across patient tissues and cancer cell-line models. HNRNPA1P9 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, HNRNPA1P9 is differentially expressed in 7, with the highest sampling consensus in KICH. Additionally, HNRNPA1P9 RNA expression shows 13,474 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight BLCA, KICH, and KIRP as cancer lineages where HNRNPA1P9 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 HNRNPA1P9 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HNRNPA1P9 survival associations across molecular data types. HNRNPA1P9 RNA expression shows survival associations in the most cancer types (25). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HNRNPA1P9 RNA expression–survival associations across cancer types. High HNRNPA1P9 expression shows unfavorable associations in ACC and LGG, but favorable associations in BLCA, PAAD, BRCA and SKCM. The BLCA Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .003). Together, the overview and detailed table identify BLCA as the clearest survival context for HNRNPA1P9 RNA expression.
This table summarizes HNRNPA1P9 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for HNRNPA1P9. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HNRNPA1P9 shows lower tumor expression in KICH, UCEC, BRCA, KIRC and PAAD and higher tumor expression in HNSC. The KICH box plot shows higher HNRNPA1P9 RNA expression in normal versus tumor tissue (log2 FC = −0.147, t-test p < 0.001).
This table shows molecular features associated with HNRNPA1P9 in patient tissues and cancer cell lines. In patient samples, HNRNPA1P9 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set.
