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流式细胞术分析低风险骨髓增生异常综合征的红系前体和突变特征,确定对红系刺激剂的反应者

Flow cytometric analysis of erythroid precursors and mutational signatures of lower risk myelodysplastic syndromes identify responders to erythroid stimulating agents

Nature 等信源发布 2024-08-07 22:32

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Anemia in low-risk myelodysplastic neoplasms (LR-MDS) derives from defective maturation and apoptosis of erythroid precursors [1] and its first-line (1L) treatment relies on erythropoiesis stimulating agents (ESAs) in case of serum EPO < 200 U/L. Still, 30–40% of patients selected with a high probability of response are resistant [2].

低风险骨髓增生异常肿瘤(LR-MDS)中的贫血源于红细胞前体的成熟和凋亡缺陷[1],其一线(1L)治疗依赖于血清EPO<200U/L的红细胞生成刺激剂(ESAs)。仍然有30-40%的高反应概率患者具有耐药性[2]。

The knowledge of MDS mutational landscape has paved the way for molecular classification (WHO 2022 [3], ICC [4]) and IPSS-M prognostic risk stratification [5], but their role in ESA response has not been completely elucidated.The availability of novel agents like Luspatercept, which targets late erythroid precursors, and Imetelstat has in fact prompted this need of precision in order to avoid ineffective and costly treatments [6, 7].Since ESAs act on early erythroid precursors [8], we exploited multiparametric flow cytometry (MFC) to analyze baseline erythroid subpopulations [9] from ESA treated LR-MDS patients.

MDS突变景观的知识为分子分类(WHO 2022(3),ICC(4))和IPSS-M预后风险分层(5)铺平了道路,但它们在ESA反应中的作用尚未完全阐明。靶向晚期红细胞前体的新型药物如Luspatercept和Imetelstat的可用性实际上促使了对精确度的需求,以避免无效和昂贵的治疗[6,7]。由于ESA作用于早期红细胞前体(8),我们利用多参数流式细胞术(MFC)分析了ESA治疗的LR-MDS患者的基线红细胞亚群(9)。

Results were correlated with ESA response and validated in an external cohort.Composition of erythroid subpopulations and ESA response were also correlated with both MDS classification and IPSS-M risk categories. We believe that integrating MFC and molecular information at baseline would improve the decision-making for 1L treatment in anemic LR-MDS.Bone marrow (BM) cells from LR-MDS (n = 87 from the learning cohort and n = 54 from the validation cohort) were analyzed with MFC and targeted next generation sequencing (t-NGS, n = 83 and 44, respectively) analyzed presence of somatic mutations in 35 genes before ESA treatment.

结果与ESA反应相关,并在外部队列中得到验证。红细胞亚群的组成和ESA反应也与MDS分类和IPSS-M风险类别相关。我们认为,在基线时整合MFC和分子信息将改善贫血LR-MDS中1L治疗的决策。用MFC和靶向下一代测序(t-NGS,分别为83和44)分析了来自LR-MDS的骨髓(BM)细胞(来自学习队列的n=87和来自验证队列的n=54)在ESA处理之前分析了35个基因中体细胞突变的存在。

We evaluated by MFC the repartition of erythroid (ery) early precursors: ery-HPCs/CD34+cells, ery-CD117+/CD117+ and ery-CD117+/ery (see Suppl. for gating and definitions) and correlated with ESA response. In addi.

我们通过MFC评估了红系(ery)早期前体的重新分配:ery HPC/CD34+细胞,ery-CD117+/CD117+和ery-CD117+/ery(有关门控和定义,请参见附录),并与ESA反应相关。另外。

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Download referencesAcknowledgementsThe authors are grateful to the patients who consented to participate in this study. This study was partially supported by Associazione Italiana per la Ricerca sul Cancro (AIRC) IG-26537-2021 Investigator Research Grant.Author informationAuthors and AffiliationsMDS Unit, DMSC, AOU Careggi, University of Florence, Florence, ItalyMarco G.

下载参考文献致谢作者感谢同意参加本研究的患者。这项研究得到了意大利协会(Associazione Italiana per la Ricerca sul Cancro)(AIRC)IG-26537-2021研究员研究资助的部分支持。作者信息作者和附属机构DMSC,AOU Careggi,佛罗伦萨大学,佛罗伦萨,ItalyMarco G。

Raddi, Giorgio Mattiuz, Sven De Pourcq, Angela Consagra, Luca Rigodanza, Cristina Amato, Elena Tofacchi, Enrico Attardi & Valeria SantiniDepartment of Medical Biotechnologies, University of Siena, Siena, ItalyMarco G. Raddi, Sven De Pourcq & Elena TofacchiFlow Cytometry and Immunotherapy Diagnostic Center, AOU Careggi, Florence, ItalySara Bencini, Benedetta Peruzzi & Francesco AnnunziatoDepartment of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, Florence, ItalyMichele TanturliUniversité Paris Cité and Assistance Publique-Hôpitaux de Paris.

Raddi,Giorgio Mattiuz,Sven De Pourcq,Angela Consagra,Luca Rigodanza,Cristina Amato,Elena Tofacchi,Enrico Attardi&Valeria Santini医学生物技术系,锡耶纳大学,锡耶纳,ItalyMarco G.Raddi,Sven De Pourcq&Elena Tofacchi流式细胞术和免疫治疗诊断中心,AOU Careggi,佛罗伦萨,ItalySara Bencini,Benedetta Peruzzi&Francesco AnnunziatoDepartment of Experimental and Clinical Biomedical Sciences“Mario Serio”,佛罗伦萨大学,佛罗伦萨巴黎城市图尔留大学(TurliuniversitéParis Cité)和巴黎公共图书馆(Assistance Publique-Hôpitaux De Paris)。

Hôpital Cochin, Laboratory of Hematology, Paris, FranceNicolas Chapuis, Olivier Kosmider & Michaela FontenayAOU Careggi, Hematology department, Florence, ItalyLuca Rigodanza, Alessandro Sanna & Valeria SantiniGrenoble Alpes Hospital, Hematology Department, University Grenoble Alpes, Grenoble, FranceSophie ParkDepartment of Experimental and Clinical Medicine and DENOTHE Center, University of Florence, Florence, ItalyFrancesco AnnunziatoAuthorsMarco G.

Hôpital Cochin,巴黎血液学实验室,FranceNicolas Chapuis,Olivier Kosmider&Michaela FontenayAOU Careggi,佛罗伦萨血液学系,ItalyLuca Rigodanza,Alessandro Sanna&Valeria Santinigrenobe Alpes医院,血液学系,格勒诺布尔阿尔卑斯大学,格勒诺布尔,弗朗西斯科·帕克实验与临床医学系和佛罗伦萨大学佛罗伦萨分校DENOTHE中心,佛罗伦萨,ItalyFrancesco Annunziatoauthousmarco G。

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PubMed Google ScholarContributionsMGR and VS designed the study, followed patients, and analyzed data. FA approved flow cytometry analysis and SB and BP performed MFC analysis of cases from the learning cohort, while MGR and NC contributed to MFC analysis of cases from the validation cohort.

PubMed Google ScholarContributionsMGR和VS设计了这项研究,跟踪患者并分析了数据。FA批准的流式细胞仪分析,SB和BP对学习队列中的病例进行了MFC分析,而MGR和NC对验证队列中的病例进行了MFC分析。

MF and SP followed patients provided data for the validation cohort and participated to manuscript writing. OK performed NGS analysis. MT and SDP performed statistical analysis. GM contributed to the design of the study, the revision of the manuscript, and to the optimization of tables and figures. EA, ET, AC, LR, CA.

MF和SP跟踪患者为验证队列提供数据,并参与手稿撰写。OK进行了NGS分析。MT和SDP进行了统计分析。GM为研究的设计,手稿的修订以及表格和图形的优化做出了贡献。EA,ET,AC,LR,CA。

and AS contributed to the interpretation of results and approved the manuscript.Corresponding authorCorrespondence to.

并为结果的解释做出了贡献,并批准了手稿。对应作者对应。

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Reprints and permissionsAbout this articleCite this articleRaddi, M.G., Bencini, S., Peruzzi, B. et al. Flow cytometric analysis of erythroid precursors and mutational signatures of lower risk myelodysplastic syndromes identify responders to erythroid stimulating agents.

转载和许可本文引用本文Raddi,M.G.,Bencini,S.,Peruzzi,B。等人。红细胞前体的流式细胞术分析和低风险骨髓增生异常综合征的突变特征确定了对红细胞刺激剂的反应者。

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