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Koleci, N.

Publications and source records attributed to Koleci, N..

2 recordsLinked to original sources

Oncogenic PTPN11/SHP2 drives immune escape in juvenile myelomonocytic leukemia (JMML) through activation of ectonucleotidase/adenosine signaling

Juvenile myelomonocytic leukemia (JMML) is a myelodysplastic/myeloproliferative neoplasm of early childhood driven by RAS pathway mutations. Allogeneic hematopoietic stem cell transplantation (HSCT) is the therapy of choice for most patients. However, relapse rate is high, in patients with adverse features, frequently noted in PTPN11-mutated JMML, or in patients without evidence of graft-versus-host disease (GvHD). Here we set out to understand the mechanisms associated with oncogenic PTPN11 immune escape. Analyzing primary PTPN11-mutated JMML samples and MxCre;Ptpn11D61Y/+ mice, we observed elevated expression of immune checkpoint molecules, including ectonucleotidases CD39 and CD73 - key mediators of the adenosine pathway - on monocytic and granulocytic leukemic cells. Stimulation with GM-CSF, a central mediator of JMML pathogenesis, induced ectonucleotidases expression on granulocytes and monocytes. In contrast, MEK inhibition downstream of Ptpn11D61Y/+ reduced ectonucleotidases expression. Functionally, Ptpn11D61Y/+-mutated myeloid cells suppressed activation and proliferation of wild-type (WT) T lymphocytes, an effect recapitulated by adenosine and reversed by pharmacological CD39 inhibition with POM-1. In vivo, POM-1 treatment of MxCre;Ptpn11D61Y/+mice presenting with myeloproliferation reduced spleen size and partially restored immune responsiveness. Moreover, POM-1 induced apoptosis in murine Ptpn11D61Y/+ myeloid cells, highlighting a dual therapeutic benefit of CD39 inhibition in JMML. Together, these findings suggest that targeting the adenosine pathway may represent an immunomodulatory approach to enhance T cell-mediated control of JMML, particularly in the context of HSCT and relapse prevention.

cancer biology↗

Engineering de novo binder CAR-T cell therapies with generative AI

Chimeric antigen receptor T cell (CAR-T) therapies have revolutionized cancer treatment, with six CAR-T products currently in clinical use1-4. Despite their success, high resistance rates due to antigen escape remain a major challenge5,6. In silico design of de novo binders (DNBs) has the potential to accelerate the development of new binding domains for CAR-T, possibly enabling personalized therapies for cancer resistance7,8. Here, we show that DNBs can be used for CAR-T, targeting clinically relevant cancer antigens. Using a DNB against the epidermal growth factor receptor (EGFR), we demonstrate comparable cytotoxicity, cytokine secretion, long-term proliferation, and lysis of primary patient-derived cancer organoids with single-chain variable fragment (scFv)-based and DNB-based CAR-T cells. Moreover, we use generative artificial intelligence (AI) guided binder design with RFdiffusion9 to target the B cell maturation antigen (BCMA), a key antigen in multiple myeloma treatment10-17. We confirmed the activity of our AI-designed BCMA CAR-T in short- and long-term effector readouts, including a xenograft mouse model of multiple myeloma. Notably, our AI-guided CAR-T approach also successfully targets a mutated BCMA protein variant resistant to the clinically used bispecific antibody teclistamab. In sum, we demonstrate a proof-of-concept for engineering new, bespoke cellular immunotherapies targeting cancer resistance with the help of generative AI. This approach may further accelerate the development of new CAR-T therapies addressing cancer resistance.

bioengineering↗