Q-omics provides the consensus-scored NPM1P43 profile across patient tissues and cancer cell-line models. NPM1P43 expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, NPM1P43 is differentially expressed in 4, with the highest sampling consensus in HNSC. Additionally, NPM1P43 RNA expression shows 11,727 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight SKCM, HNSC, and GBM as cancer lineages where NPM1P43 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 NPM1P43 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NPM1P43 survival associations across molecular data types. NPM1P43 RNA expression shows survival associations in the most cancer types (15). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NPM1P43 RNA expression–survival associations across cancer types. High NPM1P43 expression shows unfavorable associations in SKCM, THYM, CESC and KIRP, but favorable associations in PAAD and LIHC. The SKCM Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .006). Together, the overview and detailed table identify SKCM as the clearest survival context for NPM1P43 RNA expression.
This table summarizes NPM1P43 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for NPM1P43. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NPM1P43 shows lower tumor expression in THCA and higher tumor expression in HNSC, BLCA and KIRC. The HNSC box plot shows higher NPM1P43 RNA expression in tumor versus normal tissue (log2 FC = +0.053, t-test p = .016).
This table shows molecular features associated with NPM1P43 in patient tissues and cancer cell lines. In patient samples, NPM1P43 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
