Literature DB >> 30087318

Heterogeneous prognosis among KIT mutation types in adult acute myeloid leukemia patients with t(8;21).

Ya-Zhen Qin1, Hong-Hu Zhu1, Qian Jiang1, Lan-Ping Xu1, Hao Jiang1, Yu Wang1, Xiao-Su Zhao1, Yan-Rong Liu1, Xiao-Hui Zhang1, Kai-Yan Liu1, Xiao-Jun Huang2,3.   

Abstract

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 30087318      PMCID: PMC6081455          DOI: 10.1038/s41408-018-0116-1

Source DB:  PubMed          Journal:  Blood Cancer J        ISSN: 2044-5385            Impact factor:   11.037


× No keyword cloud information.
Acute myeloid leukemia (AML) with t(8;21) is a heterogeneous disease[1]. Therefore, additional prognostic factors are needed in order to make risk-adapted treatment approaches. KIT mutations are the most common mutations of t(8;21) AML patients, and a spectrum of mutations has been detected to date[2-6]. Limited by sample size or the screening method, previous studies have usually analyzed all types of mutations as a whole or just analyzed the most prevalent D816 mutation[2-7]. Thus, whether each type of mutation has similar adverse impacts remains unclear to date. A reflection is that the existence of the KIT mutation brings t(8;21) AML from low to intermediate risk regardless of mutation type in the National Comprehensive Cancer Network guidelines[8], whereas European LeukemiaNet has provided no further recommendation for those with a KIT mutation[9]. Recently, Yui et al.[10] showed that the D816 mutation had a poorer prognosis than other mutations. Thus, it is urgent to perform large-scale studies under modern treatment modes to comprehensively evaluate the prognoses of the individual KIT mutation types. A total of 275 consecutive adult patients with t(8;21) AML who were diagnosed and received treatment in our institute from June 2005 to December 2017 were, retrospectively, evaluated. Totally, 150 patients (54.5%) were male. The median age of the patients at diagnosis was 36 (range: 16–69) years. As we previously reported, induction chemotherapy comprised 1–2 cycles of induction with the “3 + 7” regimen or the homoharringtonine, aclarubicin, and cytarabine regimen (homoharringtonine 2 mg/m2 per day, cytarabine 100 mg/m2, and aclarubicin 20 mg/day on days 1–7)[11,12]. Among the 263 patients achieving complete remission (CR), 142 received the intermediate-dose cytarabine-based chemotherapy, 13 received chemotherapy followed by autologous-hematopoietic stem cell transplantation (auto-HSCT), 108 received chemotherapy followed by allogeneic-HSCT (allo-HSCT, human leukocyte antigen-identical sibling donor, n = 43; matched unrelated donor, n = 7; haploidentical related donor, n = 58) as postremission therapy[13]. Dasatinib were used in some patients with KIT mutation if RUNX1RUNX1T1 reduction is less than 3-log after cycle 2 consolidation since 2015. Nine and one patients who relapsed after chemotherapy and auto-HSCT received allo-HSCT as salvage therapy. The study was approved by the Ethics Committee of the Peking University People’s Hospital. Informed consent was obtained from all subjects in accordance with the Declaration of Helsinki. The cutoff date for the follow-up was April 15, 2018. As we previously reported, the complementary DNA was used to amplify KIT exons 17 and 8 and sequencing[4], and TaqMan-based real-time quantitative polymerase chain reaction technology was used to detect RUNX1RUNX1T1 transcript levels[11]. The survival functions were estimated using the Kaplan–Meier method and were compared using the log-rank test. The parameters with P < 0.20 by the univariate analysis were entered into a multivariate model using a Cox proportional hazards model to identify the most statistically significant parameters associated with relapse free survival (RFS) and overall survival (OS). The SPSS 16.0 software package (SPSS Inc., Chicago, IL) and GraphPad Prism 5 (GraphPad Software Inc., La Jolla, CA) were used for the data analysis. The median follow-up time was 20 (2–93) months. The 3-year RFS and OS rates were 61.5% (95% confidence interval (CI), 53.9–68.2%) and 73.2% (95% CI, 67.3–80.4%), respectively. Overall, 114 patients (41.5%) had KIT mutations, and a total of 22 types of mutations were detected (Table 1). In all, 103 and 11 patients, respectively, had sole and compound mutations (combination of 2 types), and 104 (37.8%) and 14 (5.1%) patients had a KIT mutation in exon 17 and exon 8 (sole or compound), respectively. The most prevalent mutation was exon 17 D816 (57.0% of the patients with KIT mutations), followed by the exon 17 N822, exon 8 deletion–insertion and exon 17 D820 mutations (27.2, 12.3 and 4.4%). The one-course and two-course CR rates were similar between the patients with KIT mutations and no mutation (P = 1.0 and 0.45). Patients with a KIT mutation had significantly lower 3-year RFS and OS rates than those with no mutation (RFS: P = 0.0002, 49.3% [95% CI: 37.0–60.5%] vs. 69.7% [95% CI 59.9–77.6%]; OS: P = 0.0055, 67.1% [95% CI: 55.0–76.6%] vs. 77.6% [95% CI: 68.3–84.5%]). Patients with sole D816V, D816Y, and D816H mutation had similar 3-year RFS and OS rates (P = 0.57 and 0.087). Patients with a sole D816 mutation had significantly lower 3-year RFS and OS rates than those with no mutation (RFS, P < 0.0001, 33.7% [95% CI: 17.3–50.9%] vs. 69.7% [95% CI: 59.9–77.6%], Fig. 1a; OS, P < 0.0001, 54.9% [95% CI: 37.9–69.1%] vs. 77.6% [95% CI: 68.3–84.5%], Fig. 1b); Similar results existed if the patients who underwent allo-HSCT were censored at the time of transplantation (RFS: P < 0.0001, 19.4% [95% CI: 1.6–52.3%] vs. 57.7% [95% CI: 43.8–69.3%], Fig. 1c; OS: P = 0.0003, 53.7% [95% CI: 23.9–76.3%] vs. 77.0% [95% CI: 63.2–86.2%], Fig. 1d). In addition, the 3-year RFS and OS rates were similar among the patients with the sole N822 mutation, the exon 8 mutation and no mutation (RFS: P = 0.47, 69.6% [95% CI: 46.1–84.4%] vs. 88.9% [95% CI: 43.3–98.4%] vs. 69.7% [95% CI: 59.9–77.6%], Fig. 1a; OS: P = 0.70, 71.9% [95% CI: 42.7–88.0%] vs. 83.3% [95% CI: 27.3–97.4%] vs. 77.6% [95% CI: 68.3–84.5%], Fig. 1b). Likewise, the 3-year RFS and OS rates were similar if censoring at the time of transplantation (RFS: P = 0.36, 52.6% [95% CI: 18.5–78.3%] vs. 80.0% [95% CI: 20.4–96.9%] vs. 57.7% [95% CI: 43.8–69.3%], Fig. 1c; OS: P = 0.32, 0 [95% CI: 0–0] vs. 75.0% [95% CI: 12.8–96.1%] vs. 77.0% [95% CI: 63.2–86.2%], Fig. 1d). Because of the similar prognoses for the N822 and exon 8 mutations compared to no mutation, five patients with sole or compound D820 mutation (Table 1) were analyzed together. Patients with the D820 mutation had significantly lower 3-year RFS rates than those with no mutation despite of no censoring or censoring (no censoring: P = 0.0050, 20.0% [95% CI: 0.8–58.2%] vs. 69.7% [95% CI: 59.9–77.6%], Fig. 1a; censoring: P < 0.0001, 0% [95% CI: 0–0%] vs. 57.7% [95% CI: 43.8–69.3%], Fig. 1c). However, the D820 mutation had no impact on OS (P = 0.73 and 0.72, Fig. 1b and d).
Table 1

KIT mutation patterns

Type of mutationNumber of patients (%)
Sole mutation 103 (90.4%)
Exon 1792 (80.7%)
R815_D816delinsK1 (0.9%)
R815_D816insT1 (0.9%)
R815_D816insIR1 (0.9%)
D816A1 (0.9%)
D816H8 (7.0%)
D816V37 (32.5%)
D816Y10 (8.8%)
D820G3 (2.6%)
N822K28 (24.6%)
N822Y1 (0.9%)
A829P1 (0.9%)
Exon 811 (9.6%)
T417_D419DelinsI1 (0.9%)
T417_D419delinsY1 (0.9%)
T417_R420DelinsG1 (0.9%)
Y418delinsFFW1 (0.9%)
Y418_D419delinsP1 (0.9%)
Y418_R420delinsSW1 (0.9%)
Y418_L421delinsTRVY1 (0.9%)
D419del1 (0.9%)
D419_R420delinsK2 (1.8%)
D419_L421DelinsVEV1 (0.9%)
Compound mutations 11 (9.6%)
D816V + D816H2 (1.8%)
D816V + D816Y3 (2.6%)
D816V + D820G1 (0.9%)
D816V + D419del1 (0.9%)
D816V + T417_L421delinsLPRF1 (0.9%)
D816Y + N822K1 (0.9%)
D820G + N822K1 (0.9%)
D820G + D419del1 (0.9%)
Total 114 (100%)
Fig. 1

RFS and OS of patients grouped by KIT mutation status and type.

a RFS, no censoring. b OS, no censoring. c RFS, censoring at the time of allo-HSCT. d OS, censoring at the time of allo-HSCT

KIT mutation patterns

RFS and OS of patients grouped by KIT mutation status and type.

a RFS, no censoring. b OS, no censoring. c RFS, censoring at the time of allo-HSCT. d OS, censoring at the time of allo-HSCT Next, patients with KIT D816 and D820 mutations were defined as the D816/D820 mutation group (n = 70, 25.5%), whereas the N822 and exon 8 mutation and no mutation were defined as the N822/exon 8/no mutation group (n = 201, 73.1%). Patients with the D816/D820 mutation had significantly lower 3-year RFS and OS rates than those with the N822/exon 8/no mutation (RFS: P < 0.0001, 33.1% [95% CI: 18.7–48.2%] vs. 70.5% [95% CI: 61.9–77.5%]; OS: P < 0.0001, 60.5% [95% CI: 45.3–72.7%] vs. 77.2% [95% CI: 68.8–83.6%]). Similar results existed when censoring (RFS: P < 0.0001, 0% [95% CI: 0–0%] vs. 57.9% [95% CI: 45.2–68.7%]; OS: P = 0.0002, 58.5% [95% CI: 31.9–77.7%] vs. 73.6% [95% CI: 60.3–83.1%]). Multivariate analyses showed that the KIT D816/D820 mutation, a <3-log reduction in the RUNX1RUNX1T1 transcript levels at cycle 2 consolidation and treatment with chemotherapy only/auto-HSCT were independent adverse prognostic factors for both RFS and OS (Table S1). In accordance with the majority of previous studies[2-7], we confirmed that both the KIT mutation and the KIT D816 mutation were significantly associated with lower RFS and OS rates in adult t(8;21) AML. We also showed that the three common D816 mutations had similar clinical impacts. Furthermore, we demonstrated that the N822 and exon 8 mutations had similar RFS and OS rates compared to no mutation, whereas the D820 mutation had a significantly higher relapse probability than no mutation. The results implied that we should stratify the patients not only according to the existence of the KIT mutation but also according to the type of mutation. After regrouping, the KIT D816/D820 mutation was shown to be an independent adverse prognostic factor for both RFS and OS. The multivariate analyses result reflected that the pretreatment factor, treatment response and treatment modality were all relevant to the outcome of t(8;21) AML. Consistent with the current clinical results, animal and in vitro studies show a functional difference between KIT mutations. Nick et al.[14] used a murine model to illustrate that KITD814V promoted a more varied and aggressive leukemic phenotype than KITT417IΔ418–419 when coexpressed with RUNX1RUNX1T1. Omori et al. demonstrated that in addition to the common JAK/STAT signaling pathway, the D816V mutation activated SRC family kinases, whereas N822K activated the MAPK pathway. The consequence was that D816V had a greater cell-proliferative and antiapoptotic ability than the N822K mutation[15]. The limitation was that this was a retrospective study. The treatment regimens were not uniform. Furthermore, we could not analyze the synergistic impact of the individual KIT mutations with other gene mutations due to lack of data. In conclusion, the individual KIT mutations had distinct prognoses in adult t(8;21) AML. Exon 17 D816 and D820 mutation had an adverse prognosis, whereas the exon 17 N822 and exon 8 mutation had a similar prognosis to no mutation. This result is helpful for a more precise stratification and for directing the appropriate treatment in t(8;21) AML. Multicenter prospective studies with a large sample size are warranted. Table S1
  14 in total

1.  Distinct classes of c-Kit-activating mutations differ in their ability to promote RUNX1-ETO-associated acute myeloid leukemia.

Authors:  Heidi J Nick; Hyung-Gyoon Kim; Chia-Wei Chang; Kevin W Harris; Vishnu Reddy; Christopher A Klug
Journal:  Blood       Date:  2011-09-21       Impact factor: 22.113

2.  Prognostic factors and outcome of core binding factor acute myeloid leukemia patients with t(8;21) differ from those of patients with inv(16): a Cancer and Leukemia Group B study.

Authors:  Guido Marcucci; Krzysztof Mrózek; Amy S Ruppert; Kati Maharry; Jonathan E Kolitz; Joseph O Moore; Robert J Mayer; Mark J Pettenati; Bayard L Powell; Colin G Edwards; Lisa J Sterling; James W Vardiman; Charles A Schiffer; Andrew J Carroll; Richard A Larson; Clara D Bloomfield
Journal:  J Clin Oncol       Date:  2005-08-20       Impact factor: 44.544

3.  D816V mutation in the KIT gene activation loop has greater cell-proliferative and anti-apoptotic ability than N822K mutation in core-binding factor acute myeloid leukemia.

Authors:  Ikuko Omori; Hiroki Yamaguchi; Koichi Miyake; Noriko Miyake; Tomoaki Kitano; Koiti Inokuchi
Journal:  Exp Hematol       Date:  2017-05-12       Impact factor: 3.084

4.  D816 mutation of the KIT gene in core binding factor acute myeloid leukemia is associated with poorer prognosis than other KIT gene mutations.

Authors:  Shunsuke Yui; Saiko Kurosawa; Hiroki Yamaguchi; Heiwa Kanamori; Toshimitsu Ueki; Nobuhiko Uoshima; Ishikazu Mizuno; Katsuhiro Shono; Kensuke Usuki; Shigeru Chiba; Yukinori Nakamura; Masamitsu Yanada; Junya Kanda; Kenji Tajika; Seiji Gomi; Keiko Fukunaga; Satoshi Wakita; Takeshi Ryotokuji; Takahiro Fukuda; Koiti Inokuchi
Journal:  Ann Hematol       Date:  2017-07-31       Impact factor: 3.673

5.  Comprehensive mutational profiling of core binding factor acute myeloid leukemia.

Authors:  Nicolas Duployez; Alice Marceau-Renaut; Nicolas Boissel; Arnaud Petit; Maxime Bucci; Sandrine Geffroy; Hélène Lapillonne; Aline Renneville; Christine Ragu; Martin Figeac; Karine Celli-Lebras; Catherine Lacombe; Jean-Baptiste Micol; Omar Abdel-Wahab; Pascale Cornillet; Norbert Ifrah; Hervé Dombret; Guy Leverger; Eric Jourdan; Claude Preudhomme
Journal:  Blood       Date:  2016-03-15       Impact factor: 22.113

6.  Prevalence and prognostic significance of c-KIT mutations in core binding factor acute myeloid leukemia: a comprehensive large-scale study from a single Chinese center.

Authors:  Ya-Zhen Qin; Hong-Hu Zhu; Qian Jiang; Hao Jiang; Le-Ping Zhang; Lan-Ping Xu; Yu Wang; Yan-Rong Liu; Yue-Yun Lai; Hong-Xia Shi; Bin Jiang; Xiao-Jun Huang
Journal:  Leuk Res       Date:  2014-10-06       Impact factor: 3.156

7.  Adverse prognostic significance of KIT mutations in adult acute myeloid leukemia with inv(16) and t(8;21): a Cancer and Leukemia Group B Study.

Authors:  Peter Paschka; Guido Marcucci; Amy S Ruppert; Krzysztof Mrózek; Hankui Chen; Rick A Kittles; Tamara Vukosavljevic; Danilo Perrotti; James W Vardiman; Andrew J Carroll; Jonathan E Kolitz; Richard A Larson; Clara D Bloomfield
Journal:  J Clin Oncol       Date:  2006-08-20       Impact factor: 44.544

8.  MRD-directed risk stratification treatment may improve outcomes of t(8;21) AML in the first complete remission: results from the AML05 multicenter trial.

Authors:  Hong-Hu Zhu; Xiao-Hui Zhang; Ya-Zhen Qin; Dai-Hong Liu; Hao Jiang; Huan Chen; Qian Jiang; Lan-Ping Xu; Jin Lu; Wei Han; Li Bao; Yu Wang; Yu-Hong Chen; Jing-Zhi Wang; Feng-Rong Wang; Yue-Yun Lai; Jun-Yue Chai; Li-Ru Wang; Yan-Rong Liu; Kai-Yan Liu; Bin Jiang; Xiao-Jun Huang
Journal:  Blood       Date:  2013-03-27       Impact factor: 22.113

9.  Homoharringtonine, aclarubicin and cytarabine (HAA) regimen as the first course of induction therapy is highly effective for acute myeloid leukemia with t (8;21).

Authors:  Hong-Hu Zhu; Hao Jiang; Qian Jiang; Jin-Song Jia; Ya-Zhen Qin; Xiao-Jun Huang
Journal:  Leuk Res       Date:  2016-02-27       Impact factor: 3.156

10.  Next-generation sequencing with a myeloid gene panel in core-binding factor AML showed KIT activation loop and TET2 mutations predictive of outcome.

Authors:  C Y Cher; G M K Leung; C H Au; T L Chan; E S K Ma; J P Y Sim; H Gill; A K W Lie; R Liang; K F Wong; L L P Siu; C S P Tsui; C C So; H W W Wong; S F Yip; H K K Lee; H S Y Liu; J S M Lau; T H Luk; C K Lau; S Y Lin; Y L Kwong; A Y H Leung
Journal:  Blood Cancer J       Date:  2016-07-08       Impact factor: 11.037

View more
  6 in total

1.  Comprehensive prognostic scoring systems could improve the prognosis of adult acute myeloid leukemia patients.

Authors:  Fan Zhou; Fen Zhou; Mengyi Du; Lin Liu; Tao Guo; Linghui Xia; Runming Jin; Yu Hu; Heng Mei
Journal:  Int J Hematol       Date:  2019-08-22       Impact factor: 2.490

2.  Both the subtypes of KIT mutation and minimal residual disease are associated with prognosis in core binding factor acute myeloid leukemia: a retrospective clinical cohort study in single center.

Authors:  Wenbing Duan; Xiaohong Liu; Xiaosu Zhao; Jinsong Jia; Jing Wang; Lizhong Gong; Qian Jiang; Ting Zhao; Yu Wang; Xiaohui Zhang; Lanping Xu; Hongxia Shi; Yingjun Chang; Kaiyan Liu; Xiaojun Huang; Yazhen Qin; Hao Jiang
Journal:  Ann Hematol       Date:  2021-01-20       Impact factor: 3.673

3.  High aldehyde dehydrogenase activity at diagnosis predicts relapse in patients with t(8;21) acute myeloid leukemia.

Authors:  Lu Yang; Wen-Min Chen; Feng-Ting Dao; Yan-Huan Zhang; Ya-Zhe Wang; Yan Chang; Yan-Rong Liu; Qian Jiang; Xiao-Hui Zhang; Kai-Yan Liu; Xiao-Jun Huang; Ya-Zhen Qin
Journal:  Cancer Med       Date:  2019-07-30       Impact factor: 4.452

4.  Clinicopathological Profile of Childhood Onset Cutaneous Mastocytosis from a Tertiary Care Center in South India.

Authors:  Dharshini Sathishkumar; Abyramy Balasundaram; Surya Mary Mathew; Lydia Mathew; Meera Thomas; Poonkuzhali Balasubramanian; Renu George
Journal:  Indian Dermatol Online J       Date:  2021-09-10

5.  Low IL7R Expression at Diagnosis Predicted Relapse in Adult Acute Myeloid Leukemia Patients With t(8;21).

Authors:  Nan Xu; Kai Sun; Ya-Zhe Wang; Wen-Min Chen; Jun Wang; Ling-Di Li; Xu Wang; Yue Hao; Yan Chang; Yan-Rong Liu; Xiao-Jun Huang; Ya-Zhen Qin
Journal:  Front Immunol       Date:  2022-07-07       Impact factor: 8.786

6.  The impact of the combination of KIT mutation and minimal residual disease on outcome in t(8;21) acute myeloid leukemia.

Authors:  Ya-Zhen Qin; Qian Jiang; Yu Wang; Hao Jiang; Lan-Ping Xu; Xiao-Su Zhao; Xiao-Hui Zhang; Kai-Yan Liu; Xiao-Jun Huang
Journal:  Blood Cancer J       Date:  2021-04-01       Impact factor: 11.037

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.