unc-51 like autophagy activating kinase 2Genealiases: ATG1B · Unc51.2
Q-omics provides the consensus-scored ULK2 profile across patient tissues and cancer cell-line models. ULK2 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, ULK2 is differentially expressed in 11, with the highest sampling consensus in KICH. Additionally, ULK2 RNA expression shows 20,300 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight BLCA, KICH, and UVM as cancer lineages where ULK2 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 ULK2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ULK2 survival associations across molecular data types. ULK2 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (6) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ULK2 RNA expression–survival associations across cancer types. High ULK2 expression shows unfavorable associations in BLCA and UVM, but favorable associations in BRCA, KIRP, UCS and KIRC. The BLCA Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .005). Together, the overview and detailed table identify BLCA as the clearest survival context for ULK2 RNA expression.
This table summarizes ULK2 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 2. The strongest signals are observed in KICH for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for ULK2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ULK2 shows lower tumor expression in KICH, LUAD, UCEC, BRCA and LUSC and higher tumor expression in CHOL. The KICH box plot shows higher ULK2 RNA expression in normal versus tumor tissue (log2 FC = −1.327, t-test p < 0.001).
This table shows molecular features associated with ULK2 in patient tissues and cancer cell lines. In patient samples, ULK2 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, ULK2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LARGE_INTESTINE.
