Q-omics provides the consensus-scored KPNA4P1 profile across patient tissues and cancer cell-line models. KPNA4P1 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in READ. Among the 18 cancer types available for tumor–normal comparison, KPNA4P1 is differentially expressed in 15, with the highest sampling consensus in KICH. Additionally, KPNA4P1 RNA expression shows 18,590 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight READ, KICH, and UVM as cancer lineages where KPNA4P1 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 KPNA4P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KPNA4P1 survival associations across molecular data types. KPNA4P1 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible KPNA4P1 RNA expression–survival associations across cancer types. High KPNA4P1 expression shows unfavorable associations in STAD and MESO, but favorable associations in READ, THYM, SKCM and HNSC. The READ 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 READ as the clearest survival context for KPNA4P1 RNA expression.
This table summarizes KPNA4P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for KPNA4P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KPNA4P1 shows lower tumor expression in KICH, LUSC, BLCA, THCA, BRCA and KIRC. The KICH box plot shows higher KPNA4P1 RNA expression in normal versus tumor tissue (log2 FC = −0.477, t-test p < 0.001).
This table shows molecular features associated with KPNA4P1 in patient tissues and cancer cell lines. In patient samples, KPNA4P1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
