acidic nuclear phosphoprotein 32 family member EGenealiases: LANP-L · LANPL
Q-omics provides the consensus-scored ANP32E profile across patient tissues and cancer cell-line models. ANP32E expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, ANP32E is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, ANP32E protein abundance shows 25,456 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRP, HNSC, and GBM as cancer lineages where ANP32E 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 ANP32E — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ANP32E survival associations across molecular data types. ANP32E RNA expression shows survival associations in the most cancer types (24), followed by mutation status (3) and mass-spec protein abundance (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ANP32E RNA expression–survival associations across cancer types. High ANP32E expression shows unfavorable associations in KIRP, MESO, ACC, UVM, LIHC and LUAD. The KIRP Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRP as the clearest survival context for ANP32E RNA expression.
This table summarizes ANP32E tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 6. The strongest signals are observed in HNSC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for ANP32E. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ANP32E shows lower tumor expression in KICH and higher tumor expression in HNSC, BLCA, LUAD, LIHC and STAD. The HNSC box plot shows higher ANP32E RNA expression in tumor versus normal tissue (log2 FC = +1.367, t-test p < 0.001).
This table shows molecular features associated with ANP32E in patient tissues and cancer cell lines. In patient samples, ANP32E shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, ANP32E RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and BLOOD_Leukemia.
