The surfaceome of multiple myeloma cells suggests potential immunotherapeutic strategies and protein markers of drug resistance

Ian Ferguson(University of California, San Francisco), Bonell Patiño-Escobar(University of California, San Francisco), Sami T. Tuomivaara(University of California, San Francisco), Yu-Hsiu T. Lin(University of California, San Francisco), Matthew A. Nix(University of California, San Francisco), Kevin Leung(University of California, San Francisco), Corynn Kasap(University of California, San Francisco), Emilio Ramos(University of California, San Francisco), Wilson Nieves Vasquez(University of California, San Francisco), Alexis Talbot(Inserm), Martina Hale(University of California, San Francisco), Akul Naik(University of California, San Francisco), Audrey Kishishita(University of California, San Francisco), Priya Choudhry(University of California, San Francisco), Antonia Lopez‐Girona(Bristol-Myers Squibb (United States)), Weili Miao(Stanford University), Sandy W. Wong(University of California, San Francisco), Jeffrey L. Wolf(University of California, San Francisco), Thomas Martin(University of California, San Francisco), Nina Shah(University of California, San Francisco), Scott Vandenberg(University of California, San Francisco), Sonam Prakash(University of California, San Francisco), Lenka Bešše(Kantonsspital St. Gallen), Christoph Driessen(Kantonsspital St. Gallen), Avery D. Posey(Translational Therapeutics (United States)), R. Dyche Mullins(Howard Hughes Medical Institute), Justin Eyquem(Gladstone Institutes), James A. Wells(University of California, San Francisco), Arun P. Wiita(University of California, San Francisco)
Nature Communications
July 15, 2022
Cited by 128Open Access
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Abstract

The myeloma surface proteome (surfaceome) determines tumor interaction with the microenvironment and serves as an emerging arena for therapeutic development. Here, we use glycoprotein capture proteomics to define the myeloma surfaceome at baseline, in drug resistance, and in response to acute drug treatment. We provide a scoring system for surface antigens and identify CCR10 as a promising target in this disease expressed widely on malignant plasma cells. We engineer proof-of-principle chimeric antigen receptor (CAR) T-cells targeting CCR10 using its natural ligand CCL27. In myeloma models we identify proteins that could serve as markers of resistance to bortezomib and lenalidomide, including CD53, CD10, EVI2B, and CD33. We find that acute lenalidomide treatment increases activity of MUC1-targeting CAR-T cells through antigen upregulation. Finally, we develop a miniaturized surface proteomic protocol for profiling primary plasma cell samples with low inputs. These approaches and datasets may contribute to the biological, therapeutic, and diagnostic understanding of myeloma.


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