oxysterol binding protein like 2Genealiases: DFNA67 · DIDA · DNFA67 · ORP-2 · ORP2
Q-omics provides the consensus-scored OSBPL2 profile across patient tissues and cancer cell-line models. OSBPL2 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, OSBPL2 is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, OSBPL2 RNA expression shows 20,629 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UVM, KIRC, and ACC as cancer lineages where OSBPL2 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 OSBPL2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OSBPL2 survival associations across molecular data types. OSBPL2 RNA expression shows survival associations in the most cancer types (20), followed by mutation status (2) 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 OSBPL2 RNA expression–survival associations across cancer types. High OSBPL2 expression shows unfavorable associations in LIHC, ACC and KIRP, but favorable associations in UVM, KIRC and PAAD. The UVM 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 UVM as the clearest survival context for OSBPL2 RNA expression.
This table summarizes OSBPL2 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 5. The strongest signals are observed in KIRC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for OSBPL2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OSBPL2 shows lower tumor expression in KIRC and THCA and higher tumor expression in COAD, LIHC, BRCA and STAD. The KIRC box plot shows higher OSBPL2 RNA expression in normal versus tumor tissue (log2 FC = −0.614, t-test p < 0.001).
This table shows molecular features associated with OSBPL2 in patient tissues and cancer cell lines. In patient samples, OSBPL2 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, OSBPL2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and BLOOD_Leukemia.
