Single-Cell Discovery and Multiomic Characterization of Therapeutic Targets in Multiple Myeloma

Author:

Yao Lijun12ORCID,Wang Julia T.12ORCID,Jayasinghe Reyka G.12ORCID,O'Neal Julie1ORCID,Tsai Chia-Feng3ORCID,Rettig Michael P.1ORCID,Song Yizhe12ORCID,Liu Ruiyang12ORCID,Zhao Yanyan12ORCID,Ibrahim Omar M.12ORCID,Fiala Mark A.1ORCID,Fortier Julie M.1ORCID,Chen Siqi12ORCID,Gehrs Leah1ORCID,Rodrigues Fernanda Martins12ORCID,Wendl Michael C.12ORCID,Kohnen Daniel1ORCID,Shinkle Andrew12ORCID,Cao Song12ORCID,Foltz Steven M.12ORCID,Zhou Daniel Cui12ORCID,Storrs Erik12ORCID,Wyczalkowski Matthew A.12ORCID,Mani Smrithi1ORCID,Goldsmith Scott R.1ORCID,Zhu Ying3ORCID,Hamilton Mark4ORCID,Liu Tao3ORCID,Chen Feng1ORCID,Vij Ravi1ORCID,Ding Li12ORCID,DiPersio John F.1ORCID

Affiliation:

1. 1Department of Medicine, Washington University in St. Louis, St. Louis, Missouri.

2. 2McDonnell Genome Institute, Washington University in St. Louis, St. Louis, Missouri.

3. 3Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington.

4. 4Multiple Myeloma Research Foundation, Norwalk, Connecticut.

Abstract

AbstractMultiple myeloma (MM) is a highly refractory hematologic cancer. Targeted immunotherapy has shown promise in MM but remains hindered by the challenge of identifying specific yet broadly representative tumor markers. We analyzed 53 bone marrow (BM) aspirates from 41 MM patients using an unbiased, high-throughput pipeline for therapeutic target discovery via single-cell transcriptomic profiling, yielding 38 MM marker genes encoding cell-surface proteins and 15 encoding intracellular proteins. Of these, 20 candidate genes were highlighted that are not yet under clinical study, 11 of which were previously uncharacterized as therapeutic targets. The findings were cross-validated using bulk RNA sequencing, flow cytometry, and proteomic mass spectrometry of MM cell lines and patient BM, demonstrating high overall concordance across data types. Independent discovery using bulk RNA sequencing reiterated top candidates, further affirming the ability of single-cell transcriptomics to accurately capture marker expression despite limitations in sample size or sequencing depth. Target dynamics and heterogeneity were further examined using both transcriptomic and immuno-imaging methods. In summary, this study presents a robust and broadly applicable strategy for identifying tumor markers to better inform the development of targeted cancer therapy.Significance:Single-cell transcriptomic profiling and multiomic cross-validation to uncover therapeutic targets identifies 38 myeloma marker genes, including 11 transcribing surface proteins with previously uncharacterized potential for targeted antitumor therapy.

Funder

Paula and Rodger Riney Foundation

National Cancer Institute

Publisher

American Association for Cancer Research (AACR)

Subject

Cancer Research,Oncology

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