ubiquitin associated protein 2 likeGenealiases: NEDLBF · NICE-4 · NICE4
Q-omics provides the consensus-scored UBAP2L profile across patient tissues and cancer cell-line models. UBAP2L expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in SCLC. Among the 18 cancer types available for tumor–normal comparison, UBAP2L is differentially expressed in 16, with the highest sampling consensus in HNSC. Additionally, UBAP2L protein abundance shows 26,911 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight SCLC, HNSC, and LSCC as cancer lineages where UBAP2L 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 UBAP2L — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UBAP2L survival associations across molecular data types. UBAP2L RNA expression shows survival associations in the most cancer types (26), followed by mutation status (5) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UBAP2L RNA expression–survival associations across cancer types. High UBAP2L expression shows unfavorable associations in ACC, KIRP, LIHC, SKCM and KICH, but favorable associations in SCLC. The SCLC 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 SCLC as the clearest survival context for UBAP2L RNA expression.
This table summarizes UBAP2L tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16, 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 UBAP2L. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UBAP2L shows higher tumor expression in HNSC, COAD, KIRP, LIHC, BLCA and LUAD. The HNSC box plot shows higher UBAP2L RNA expression in tumor versus normal tissue (log2 FC = +0.983, t-test p < 0.001).
This table shows molecular features associated with UBAP2L in patient tissues and cancer cell lines. In patient samples, UBAP2L shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, UBAP2L 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 LUNG_NSCLC_LUAD and UPPER_AERODIGESTIVE_TRACT.
