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Chemotherapy-induced developmental trajectories of monocytes in breast cancer

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1. Title Title of document Chemotherapy-induced developmental trajectories of monocytes in breast cancer
2. Creator Author's name, affiliation, country Tatiana S. Gerashchenko; Tomsk National Research Medical Center, Russian Academy of Sciences
2. Creator Author's name, affiliation, country Marina R. Patysheva; Tomsk National Research Medical Center, Russian Academy of Sciences
2. Creator Author's name, affiliation, country Anastasia A. Fedorenko; Tomsk National Research Medical Center, Russian Academy of Sciences; National Research Tomsk State University
2. Creator Author's name, affiliation, country Anastasia P. Filatova; Tomsk National Research Medical Center, Russian Academy of Sciences
2. Creator Author's name, affiliation, country Maria A. Vostrikova; Tomsk National Research Medical Center, Russian Academy of Sciences
2. Creator Author's name, affiliation, country Olga D. Bragina; Tomsk National Research Medical Center, Russian Academy of Sciences
2. Creator Author's name, affiliation, country Anton A. Fedorov; Tomsk National Research Medical Center, Russian Academy of Sciences
2. Creator Author's name, affiliation, country Pavel S. Iamshchikov; Tomsk National Research Medical Center, Russian Academy of Sciences
2. Creator Author's name, affiliation, country Evgeny V. Denisov; Tomsk National Research Medical Center, Russian Academy of Sciences
3. Subject Discipline(s)
3. Subject Keyword(s) breast cancer; single-cell RNA seq (scRNA seq); monocytes; chemotherapy; developmental trajectories
4. Description Abstract

Relevance . Monocytes are circulating immune cells which are traditionally divided into three subsets. The contribution of each subset to breast cancer pathogenesis is controversial. Moreover, there is no data regarding the programming of monocyte subsets towards antitumor activity induced by chemotherapy. Aim . To study the trajectories of monocyte subsets and transcriptomic changes in blood monocytes during neoadjuvant chemotherapy (NAC). Materials and Methods . Mononuclear cells were purified from the peripheral blood of nine triple-negative breast cancer (TNBC) patients before NAC and on the 3rd and 21st day after the first NAC cycle (AC regimen). Total cell concentration and viability (Calcein/DRAQ7) were assessed by flow cytometry. Single-cell RNA sequencing was performed on a Genolab M platform (GeneMind Biosciences) using the 10x Genomics technology for fixed samples. Data were analyzed using Seurat, SingleR, and the dynverse R package for trajectories. Results and Discussion . The trajectory analysis indicated that monocytes were clustered into three subsets: classical, non-classical, and intermediate. Classical monocytes were characterized by high expression of CD14 , CSF3R , S100A8 , S100A9 , VCAN , LYZ , SELL , and GRN genes, whereas non-classical monocytes expressed FCGR3A , MTSS1 , TCF7L2 , CSF1R , SPN , EVL , and LYN . The developmental trajectories of monocytes were significantly affected by chemotherapy. Transcriptionally, classical monocytes were subdivided into two clusters: one characterized by proliferative signals and the other by stress signals. By day 21st after NAC, developmental trajectories of monocytes and their subset composition were observed to recover. Chemotherapy promoted the pro-inflammatory activity of monocytes. Conclusion . Peripheral blood monocytes of TNBC patients are capable of recovering their subset composition after NAC by the 21st day after the first cycle of chemotherapy.

5. Publisher Organizing agency, location Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University)
6. Contributor Sponsor(s) This project was supported by the Russian Science Foundation, grant number 22–75–10128.
7. Date (DD-MM-YYYY) 15.12.2024
8. Type Status & genre Peer-reviewed Article
8. Type Type Research Article
9. Format File format
10. Identifier Uniform Resource Identifier https://journals.rudn.ru/medicine/article/view/42008
10. Identifier Digital Object Identifier (DOI) 10.22363/2313-0245-2024-28-4-427-438
10. Identifier eLIBRARY Document Number (EDN) GNCAUM
11. Source Title; vol., no. (year) RUDN Journal of Medicine; Vol 28, No 4 (2024): ONCOLOGY
12. Language English=en ru
13. Relation Supp. Files Figure 1. A. UMAP visualization of monocyte clustering. Monocyte subsets are labeled in colors of the corresponding UMAP clusters. Each dot on the UMAP represents a single cell. B. Percentages of monocytes at three time points: before NAC, the 3rd day after NAC, and the 21st day after NAC (91KB)
Figure 2. Monocyte assay using blood samples from TNBC patients before chemotherapy. A. Developmental trajectory of monocytes. B. Clustering of monocyte subsets; C. Heatmap of differentially expressed genes (DEGs, logFC > 0.25) in M1-M10 clusters of classical, intermediate and non-classical monocyte subsets (156KB)
Figure 3. Monocyte assay using blood samples of TNBC patients on the 3rd day after the 1st course of chemotherapy. A. Developmental trajectory of monocytes. B. Clustering of monocyte subsets. C. Heatmap of differentially expressed genes (DEGs, logFC > 0.25) in M1-M8 clusters of classical, intermediate and non-classical monocyte subsets (145KB)
Figure 4. Monocyte assay using blood samples from TNBC patients on the 21st day after the 1st cycle of chemotherapy. A. Developmental trajectory of monocytes. B. Clustering of monocyte subsets. C. Heatmap of differentially expressed genes (DEGs, logFC > 0.25) in M1-M7 clusters of classical, intermediate and non-classical monocyte subsets (206KB)
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
15. Rights Copyright and permissions Copyright (c) 2024 Gerashchenko T.S., Patysheva M.R., Fedorenko A.A., Filatova A.P., Vostrikova M.A., Bragina O.D., Fedorov A.A., Iamshchikov P.S., Denisov E.V.
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