Type: Oral
Session: 622. Lymphomas: Translational – Non-Genetic: New Approaches and Models for Improving Lymphoma Therapies
Hematology Disease Topics & Pathways:
Research, Translational Research, Diseases, Lymphoid Malignancies, Biological Processes, Pathogenesis
Results: Compound screening data (CTD, GDSC), together with gene-dependency scores from CRISPR and RNAi screens, were re-analyzed and integrated for B-ALL/mature B-cell lymphomas compared to myeloid leukemia and solid tumors. Most notably, among 4,518 compounds screened, we identified 5 top-ranking compounds that converge on targeting the ferroptosis pathway: Based on our computational approach (www.lymphoblasts.org), we identified ferroptosis inducers as particularly lethal to B-cell lymphoma compared to other tumor types. This was the case for multiple classes of ferroptosis inducers, including GPX4 inhibitors (RSL3, ML162, ML210), the cysteine-glutamate antiporter (system xc-, SLC7A11) inhibitor Erastin, and the iron oxidizer and GPX4 inactivator FINO2.
Analysis of gene dependency in 89 B-cell lymphoma compared to 779 myeloid leukemia and solid tumor cell lines based on CRISPR and RNAi data (DepMap) revealed a selective dependence of B-cell lymphomas on anti-ferroptotic molecules. These genes notably include components of the glutathione synthesis machinery (GCLC, GCLM, GSS) and selenoprotein synthesis (SEPH2, LRP8, SELENOI). Interestingly, B-cell malignancies also showed marked dependence on molecules that sensitize to ferroptosis, including the transferrin receptor (TFRC; iron import) and ACSL4 (polyunsaturated fatty acid, PUFA). This suggests that B-cells might be addicted to iron- and PUFA-metabolism that make them intrinsically vulnerable to ferroptosis. Accordingly, iron chelation treatment showed a much higher toxicity in B-cell lymphoma compared to solid tumors.
Based on transduction of mature splenic B-cells from Tfrc-fl/fl mice with MYC, BCL2 and dominant-negative p53 as B-cell lymphoma model, we confirmed that Cre-mediated ablation of Tfrc induced rapid cell death, selectively in mature B-lymphoma. In addition, analysis of clinical data from the DLBCL MMMLNP trial cohort revealed that greater than median expression of ACSL4 is associated with significantly worse survival (P=0.003). The opposite was seen with ACSL3 (P=0.0004), which counteracts ACSL4-dependent PUFA-metabolism. Combination of these two gene expression profiles strongly predicted prognosis, as individuals with the ACSL4high/ACSL3low gene expression signature had much higher mortality than those with the ACSL4low/ACSL3high signature (hazard ratio for mortality by log-rank test: 2.484, 95% confidence interval: 1.709 – 3.609).
Whole-genome CRISPR screens in B-cell malignancies under the selective pressure of RSL3, Erastin, and FINO2 highlighted several known ferroptosis regulators and uncovered new ferroptosis-related genes and pathways including sphingolipid metabolism (KDSR), phosphatidylcholine synthesis (FLVCR1, PCYT1A), inositol metabolism (ITPK1, IPMK), and lipid membrane remodelling (ATP8B2).
Conclusions: Integrating CRISPR dependency and drug sensitivity data revealed that B-cell lymphomas are uniquely sensitive to ferroptosis and highly depend on anti-ferroptotic defense mechanisms. This likely reflects the intrinsic dependency of B-cell lymphomas on iron import and PUFA-metabolism, at the cost of increased vulnerability to ferroptosis. Furthermore, our CRISPR screens performed with the ferroptosis inducers RSL3, Erastin, and FINO2 revealed phosphatidylcholine synthesis (FLVCR1, PCYT1A) and lipid membrane remodelling (ATP8B2) as central mechanistic targets in B-cell lymphomas.
Disclosures: No relevant conflicts of interest to declare.