In Multiple Myeloma, High-Risk Secondary Genetic Events Observed at Relapse Are Present From Diagnosis in Tiny, Undetectable Subclonal Populations

Author:

Lannes Romain12ORCID,Samur Mehmet3ORCID,Perrot Aurore24ORCID,Mazzotti Celine12,Divoux Marion5ORCID,Cazaubiel Titouan6,Leleu Xavier7ORCID,Schavgoulidze Anaïs12ORCID,Chretien Marie-Lorraine8,Manier Salomon9,Adiko Didier10ORCID,Orsini-Piocelle Frederique11,Lifermann François12,Brechignac Sabine13,Gastaud Lauris14,Bouscary Didier15,Macro Margaret16,Cleynen Alice17,Mohty Mohamad18ORCID,Munshi Nikhil3ORCID,Corre Jill12ORCID,Avet-Loiseau Hervé12ORCID

Affiliation:

1. Myeloma Oncogenesis Lab, IUC-Oncopole, Toulouse, France

2. CRCT, INSERM U1037, Toulouse, France

3. Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA

4. Hematology Department, IUC-Oncopole, Toulouse, France

5. Hematology Department, University Hospital, Nancy, France

6. Hematology Department, University Hospital, Bordeaux, France

7. Hematology Department, University Hospital, Poitiers, France

8. Hematology Department, University Hospital, Dijon, France

9. Hematology Department, University Hospital, Lille, France

10. Hematology Department, General Hospital, Libourne, France

11. Hematology Department, General Hospital, Annecy, France

12. Hematology Department, General Hospital, Dax, France

13. Hematology Department, University Hospital, Bobigny, France

14. Hematology Department, Centre Lacassagne, Nice, France

15. Hematology Department, Cochin University Hospital, Paris, France

16. Hematology Department, University Hospital, Caen, France

17. Institut Montpellierain Alexander Grothendieck, CNRS, Montpellier University, Montpellier, France

18. Hematology Department, Saint-Antoine University Hospital, Paris, France

Abstract

PURPOSE Multiple myeloma (MM) is characterized by copy number abnormalities (CNAs), some of which influence patient outcomes and are sometimes observed only at relapse(s), suggesting their acquisition during tumor evolution. However, the presence of micro-subclones may be missed in bulk analyses. Here, we use single-cell genomics to determine how often these high-risk events are missed at diagnosis and selected at relapse. MATERIALS AND METHODS We analyzed 81 patients with plasma cell dyscrasias using single-cell CNA sequencing. Sixty-six patients were selected at diagnosis, nine at first relapse, and six in presymptomatic stages. A total of 956 newly diagnosed patients with MM and patients with first relapse MM have been identified retrospectively with required cytogenetic data to evaluate enrichment of CNA risk events and survival impact. RESULTS A total of 52,176 MM cells were analyzed. Seventy-four patients (91%) had 2-16 subclones. Among these patients, 28.7% had a subclone with high-risk features (del(17p), del(1p32), and 1q gain) at diagnosis. In a patient with a subclonal 1q gain at diagnosis, we analyzed the diagnosis, postinduction, and first relapse samples, which showed a rise of the high-risk 1q gain subclone (16%, 70%, and 92%, respectively). In our clinical database, we found that the 1q gain frequency increased from 30.2% at diagnosis to 43.6% at relapse (odds ratio, 1.78; 95% CI, 1.58 to 2.00). We subsequently performed survival analyses, which showed that the progression-free and overall survival curves were superimposable between patients who had the 1q gain from diagnosis and those who seemingly acquired it at relapse. This strongly suggests that many patients had 1q gains at diagnosis in microclones that were missed by bulk analyses. CONCLUSION These data suggest that identifying these scarce aggressive cells may necessitate more aggressive treatment as early as diagnosis to prevent them from becoming the dominant clone.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3