Clonal Relapse Dynamics in Acute Myeloid Leukemia Following Allogeneic Hematopoietic Cell Transplantation

医学 微小残留病 肿瘤科 造血干细胞移植 内科学 髓系白血病 移植 髓样 白血病
作者
Clara Wienecke,Bennet Heida,Katrin Teich,Konstantin Büttner,Alessandro Liebich,Razif Gabdoulline,Letizia Venturini,Martin Wichmann,Wolfram Puppe,Michael Stadler,Arnold Ganser,Felicitas Thol,Michael Heuser
出处
期刊:Blood [American Society of Hematology]
卷期号:138 (Supplement 1): 611-611
标识
DOI:10.1182/blood-2021-149081
摘要

Abstract Introduction The 2-year survival for AML patients relapsing after allogeneic hematopoietic cell transplantation (alloHCT) is <20%, independent of the choice of relapse-treatment. Relapse detection in its molecular state enables early interventions and possibly prevention of hematological recurrence of the disease. The role of measurable residual disease (MRD) monitoring for risk stratification has been described for pre and post-alloHCT MRD analyses. Yet, it remains unclear, if and by which lead-time NGS assessment can detect MRD before impending relapse. We hypothesize that the functional class of mutations determines the relapse kinetics in AML after alloHCT. Methods We identified mutations present at AML relapse after alloHCT by Illumina myeloid panel sequencing covering 48 AML associated genes. Peripheral whole blood samples were retrospectively collected before hematological relapse, with a minimum of one sample per patient at three months prior to relapse and if available, additional monthly samples. Amplicon-based NGS and bioinformatics error-correction were performed on those samples as described in Thol et al. 2018. Positive MRD was defined as MRD detectable above the limit of detection. In the last step, we performed polynomic curve interpolation to model relapse dynamics. Results MRD was assessed in 75 AML patients after alloHCT using 203 AML-related mutations present at the time of relapse, corresponding to a median of 2.7 trackable mutations per patient (range 1-7). In total, 305 MRD analyses were performed from peripheral blood (median 1.5 per mutation, range 1-5) prior to relapse. VAFs measured above the limit of detection (median LOD across all targets 0.0315) ranged from 0.0048-26% (median 1.3%). In 45 of 75 patients (60%), we detected MRD in at least one sample and one marker before relapse. Of those, 23 patients (51%) were MRD positive in all markers before relapse and 22 patients (49%) were MRD positive in some, but not all markers before relapse. The majority of MRD-positive patients (30 of 45) were first detected three or fewer months before relapse, whereas 15 (33%) of 45 patients were MRD positive more than 3 months before relapse. The median time to relapse from the first MRD-positive sample to relapse was 2.9 months (range 0.6-10.2). Among the 203 mutations found in relapse, 93 (46%) were detectable by MRD monitoring before relapse while the remaining 110 markers (54%) remained undetectable prior to relapse. Of note, 88 of those 110 markers (80%) were measured only once before relapse, indicating that frequent sampling increases the likelihood of MRD detection. Genes in which mutations were found mostly MRD-positive were TET2 (6 out of 6), ASXL2 (4 out of 5), SF3B1 (4 out of 5), and RUNX1 (7 out of 9). Mutations in WT1 (1 out of 13), NRAS (1 out of 8), FLT3-ITD (9 out of 29), and PTPN11 (1 out of 5) were among the most common MRD negative mutations before relapse. To assess clonal relapse dynamics, pre-relapse samples were assigned to the monthly interval that best matched the sampling time. If MRD was measured positive at one time point, all the following monthly intervals were considered MRD-positive, whether a sample was available for that interval or not. The fraction of positive samples from all samples per time point was plotted against time to relapse and the function was approximated by fifth-order polynomials. The percentage of patients being MRD positive increased markedly with shortened distance to relapse. Thus, 29% of patients were MRD positive at 3 months, 44% at 2 months and 66% 1 month prior to relapse. Summarized by functional gene classes, mutations in tumor suppressor genes and especially signaling genes showed a higher slope and thus a shorter lead-time to relapse than mutations in epigenetic modifier genes (Figure 2). Conclusion In summary, hematologic relapse can be detected in peripheral blood in 29, 44, and 66% of patients at 3, 2, and 1 months before relapse by NGS-MRD analysis, respectively. Mutations in epigenetic modifier genes show a higher fraction of MRD positivity before relapse than other mutations. In contrast, mutations in signaling genes show a shorter lead-time to relapse. Figure 1 Figure 1. Disclosures Ganser: Celgene: Honoraria; Novartis: Honoraria; Jazz Pharmaceuticals: Honoraria. Thol: Abbvie: Honoraria; Astellas: Honoraria; Novartis: Honoraria; Pfizer: Honoraria; Jazz: Honoraria; BMS/Celgene: Honoraria, Research Funding. Heuser: BergenBio: Research Funding; Bayer Pharma AG: Research Funding; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS/Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Membership on an entity's Board of Directors or advisory committees, Research Funding; Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees, Research Funding; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Astellas: Research Funding; Tolremo: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Research Funding; Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
望望旺仔牛奶完成签到,获得积分10
刚刚
何文艺完成签到,获得积分10
刚刚
1秒前
搔扒完成签到,获得积分10
1秒前
天菱完成签到,获得积分10
1秒前
aa完成签到,获得积分10
1秒前
1秒前
2秒前
小小丫完成签到,获得积分10
2秒前
PinkBro给PinkBro的求助进行了留言
2秒前
fe发布了新的文献求助10
2秒前
3秒前
lilili发布了新的文献求助50
3秒前
3秒前
白昼流星发布了新的文献求助10
3秒前
科研通AI6.4应助烟泽亮采纳,获得10
3秒前
李怀玉完成签到,获得积分10
3秒前
Clara完成签到,获得积分10
4秒前
科研NIU应助zyy采纳,获得10
4秒前
4秒前
LIGHT完成签到,获得积分10
4秒前
自信132发布了新的文献求助10
4秒前
小熊熊完成签到,获得积分0
4秒前
爱听歌无极完成签到,获得积分10
5秒前
5秒前
5秒前
假装新疆人烤大串儿完成签到 ,获得积分10
5秒前
小小丫发布了新的文献求助10
6秒前
拉长的诗兰应助Ruby采纳,获得10
6秒前
搜集达人应助Ruby采纳,获得10
6秒前
酷波er应助张泽升采纳,获得10
6秒前
怪杰完成签到,获得积分10
7秒前
格格巫发布了新的文献求助10
7秒前
TWOTP完成签到,获得积分10
7秒前
芽芽豆完成签到 ,获得积分10
7秒前
jane完成签到,获得积分10
7秒前
汉堡包应助自然剑采纳,获得10
7秒前
7秒前
naturehome完成签到,获得积分10
7秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Relation between chemical structure and local anesthetic action: tertiary alkylamine derivatives of diphenylhydantoin 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6067010
求助须知:如何正确求助?哪些是违规求助? 7899200
关于积分的说明 16324856
捐赠科研通 5208880
什么是DOI,文献DOI怎么找? 2786325
邀请新用户注册赠送积分活动 1769111
关于科研通互助平台的介绍 1647835