neuralized E3 ubiquitin protein ligase 1Genealiases: NEUR1 · NEURL · RNF67 · bA416N2.1 · neu · neu-1
Q-omics provides the consensus-scored NEURL1 profile across patient tissues and cancer cell-line models. NEURL1 expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, NEURL1 is differentially expressed in 11, with the highest sampling consensus in KIRP. Additionally, NEURL1 RNA expression shows 22,011 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UCEC, KIRP, and GBM as cancer lineages where NEURL1 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 NEURL1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NEURL1 survival associations across molecular data types. NEURL1 RNA expression shows survival associations in the most cancer types (28), followed by mutation status (4) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NEURL1 RNA expression–survival associations across cancer types. High NEURL1 expression shows unfavorable associations in UCEC, UVM, CHOL and KIRP, but favorable associations in BRCA and COAD. The UCEC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .008). Together, the overview and detailed table identify UCEC as the clearest survival context for NEURL1 RNA expression.
This table summarizes NEURL1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 3. The strongest signals are observed in KIRP for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for NEURL1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NEURL1 shows lower tumor expression in KIRP, COAD, BLCA, KIRC and UCEC and higher tumor expression in KICH. The KIRP box plot shows higher NEURL1 RNA expression in normal versus tumor tissue (log2 FC = −0.887, t-test p < 0.001).
This table shows molecular features associated with NEURL1 in patient tissues and cancer cell lines. In patient samples, NEURL1 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, NEURL1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and SOFT_TISSUE.
