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 [Elsevier BV]
卷期号:138 (Supplement 1): 611-611 被引量:3
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
1秒前
2秒前
搜集达人应助LJY采纳,获得10
2秒前
研友_VZG7GZ应助Z_Miaom采纳,获得10
3秒前
hh完成签到,获得积分10
4秒前
4秒前
非是发布了新的文献求助10
5秒前
6秒前
菠萝吹雪发布了新的文献求助10
7秒前
yu发布了新的文献求助10
8秒前
8秒前
小二郎应助青山采纳,获得10
9秒前
酥酥发布了新的文献求助10
9秒前
陈陈发布了新的文献求助10
10秒前
科研通AI6.1应助古德猫宁采纳,获得10
10秒前
充电宝应助子然采纳,获得10
10秒前
594zqz发布了新的文献求助10
11秒前
无奈夜雪完成签到,获得积分10
13秒前
14秒前
Z_Miaom发布了新的文献求助10
15秒前
dali完成签到,获得积分10
15秒前
18秒前
18秒前
云泥发布了新的文献求助10
18秒前
大模型应助zzy采纳,获得10
19秒前
21秒前
molihuakai应助烂漫的乐松采纳,获得10
22秒前
淡然的寻雪完成签到,获得积分10
22秒前
wanci应助第十五日夜采纳,获得10
22秒前
daylight发布了新的文献求助30
23秒前
23秒前
24秒前
24秒前
李文文发布了新的文献求助10
24秒前
等月光落雪地完成签到,获得积分10
25秒前
你我山巅自相逢完成签到 ,获得积分10
25秒前
传奇3应助布布采纳,获得10
27秒前
darling发布了新的文献求助10
29秒前
子然发布了新的文献求助10
30秒前
Greenmouse发布了新的文献求助10
30秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Cold War Transcended: Australia's China Policy, 1949-1990 998
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
Testimonial Injustice and Trust 510
久松真一著作集〈第5巻〉禅と芸術 500
Comprehensive Natural Products III 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6625746
求助须知:如何正确求助?哪些是违规求助? 8387901
关于积分的说明 17944000
捐赠科研通 5801132
什么是DOI,文献DOI怎么找? 2962743
邀请新用户注册赠送积分活动 1937907
关于科研通互助平台的介绍 1846126