Literature DB >> 29779352

[Effect of 1q21 amplification on bortezomib therapeutic response and prognosis of newly diagnosed multiple myeloma patients].

X L Liu1, P Y Yang, X Y Yu, J C Chen, X L Liu1, J Bai, Y M Liu, H He, J N Sun, H Q Fan, C Zhang, Y Zhang, K J Su, C S Liu, Y H Tan, S J Gao, W Li, F Y Jin.   

Abstract

Objective: To investigate the effect of 1q21 amplification (1q) on the therapeutic response and prognosis of bortezomib(Btz) in the treatment of newly diagnosed multiple myeloma (MM) patients.
Methods: A total of 180 newly diagnosed MM were included for analyses of clinical characteristics, cytogenetics, objective response rate (ORR), progression-free survival (PFS) and overall survival (OS), retrospectively. Gene expression profiling (GEP) was analyzed using publicly available R2 platform.
Results: ① In 180 patients, 1q was found in 51.1% cases. Of them, 174 patients had complete follow-up data, including 88 cases with 1q and 86 without 1q (non-1q). ②Incidence of 1q was positively associated with percentage of IGH rearrangement (72.2%, P=0.017) and 1p deletion (1p) (27.8%, P=0.040). ③ The median PFS was 15.0 and 20.3 months for the 1q group and non-1q group, and the median OS was 29.4 and 44.0 months, respectively. Both PFS and OS of 1q group was significantly shorter than those of the non-1q group (P=0.029 and 0.038, respectively). Multivariate analysis further revealed that 1q was an independent prognostic factor for both PFS (HR=1.910, 95% CI 1.105-3.303, P=0.020) and OS (HR=2.353, 95% CI 1.090-5.078, P=0.029). ④ In 91 evaluable cases with 1q, very good partial remission (VGPR) rate was higher after treatment with Btz than those without Btz (62.1% vs 40.0%, P=0.032). Of note, the patients with 1q who received auto-HSCT after induction with Btz had significantly longer PFS than those without auto-HSCT (19 months vs 13 months, P=0.048). ⑤GEP analysis revealed that 1q21 amplification predominantly up-regulated expression of >50% genes within 1q21 region, and also altered expression of 28% genes in chromosome 1 and 10% genes in whole genome, particularly related to DNA repair and cell cycle. Conclusions: 1q is an independent adverse prognostic factor in patients with newly diagnosed MM. It is often associated with 1p deletion and IGH rearrangement. Patients with 1q respond well to Btz-based regimen, but they fail to gain long-term benefit from this treatment itself. However, auto-HSCT following Btz induction might improve survival of patients with 1q, suggesting a potential strategy to treat this high-risk subset of MM. GEP analysis warrants further attention in understanding the mechanisms underlying the high-risk of 1q.

Entities:  

Keywords:  1q21 amplification; Bortezomib; Hematopoietic stem cell transplantation; Multiple myeloma; Prognosis

Mesh:

Substances:

Year:  2018        PMID: 29779352      PMCID: PMC7342892          DOI: 10.3760/cma.j.issn.0253-2727.2018.05.013

Source DB:  PubMed          Journal:  Zhonghua Xue Ye Xue Za Zhi        ISSN: 0253-2727


1q21扩增(以下简称1q)是多发性骨髓瘤(multiple myeloma,MM)中常见的一种细胞遗传学异常,2016年国际骨髓瘤工作组(IMWG)将1q定义为高危遗传学异常之一[1]。然而,1q对MM患者的疗效反应和生存的确切影响尚不明确[2]–[6],且对该高危亚型仍缺乏有效的、能改善患者生存的治疗手段[7]–[9]。在本研究中我们回顾性分析了伴和不伴1q的初治MM患者临床特征、细胞遗传学异常、疗效和预后,同时利用公共数据库比较了伴和不伴1q MM样本基因表达谱(GEP)的差异。

病例与方法

1.病例:以2009年11月至2016年8月在吉林大学第一医院肿瘤中心住院治疗的180例初治MM患者为研究对象,诊断均符合2014年IMWG诊断标准[10],并具有血清学、骨髓细胞形态学、FISH的初诊基线检测结果。应用FISH技术检测1q、del(17p)、del(13q)、del(1p23)、IGH重排[包括t(4;14)、t(11;14)、t(14;16)]等细胞遗传学异常。1q定义为≥3个拷贝数。 2.治疗方案:包括蛋白酶体抑制剂[硼替佐米(Btz)、卡非佐米]、免疫调节剂(来那度胺、沙利度胺)、细胞毒药物(马法兰、多柔比星、环磷酰胺)及auto-HSCT的诱导、巩固和维持治疗。180例患者中127例接受了以Btz为基础的方案,45例接受以传统化疗或沙利度胺为基础的治疗,8例接受以来那度胺及卡非佐米为基础的治疗。 3.疗效评价:依据2016年IMWG更新的疗效评价标准[11]进行疗效判断。疗效反应包括严格意义的完全缓解(sCR)、完全缓解(CR)、非常好的部分缓解(VGPR)、部分缓解(PR)、微小缓解(MR)、疾病稳定(SD)、疾病进展(PD)。总有效率(ORR)定义为≥PR率,深度缓解率定义为≥VGPR率。 4.生存评价:中位随访17.9(2.3~60.2)个月,随访截止时间为2016年11月27日。总体生存(OS)时间定义为MM诊断确立之日至死亡或随访截止日期;无进展生存(PFS)时间定义为MM诊断确立之日至PD、复发或死亡日期。 5.GEP分析:利用R2: Genomics Analysis and Visualization Platform(http://r2.amc.nl)分析平台,对其中的Hanamura-542[12]和Agnelli-102[13]两个数据集进行分析,比较伴和不伴1q的MM样本间GEP的差异(t检验,cut-off值为P<0.01),GO分析基因功能。 6.统计学处理:应用SPSS 22.0软件进行统计学分析。临床特征及疗效用中位数、百分率表示。生存分析采用Kaplan-Meier法,显著性检验采用Log-rank法;多因素分析应用Cox模型(纳入性别、年龄、M蛋白类型、疾病分期、HGB、肾小球滤过率(eGFR)、β2微球蛋白、LDH、骨髓浆细胞等临床特征及细胞遗传学结果);采用χ2检验或Fisher精确概率法进行组间比较。P<0.05为差异有统计学意义。

结果

1.临床特征:180例患者中,男98例、女82例,中位年龄60(33~86)岁。其中IgG型76例、轻链型45例、IgA型41例、IgD型12例、不(寡)分泌型6例;DS分期:Ⅲ期175例,Ⅰ~Ⅱ期仅有5例;ISS分期:Ⅰ期27例,Ⅱ期62例,Ⅲ期91例。 2.1q发生率及其对其他临床特征及检测指标的影响:180例患者中,92例(51.1%)伴有1q1q组和非1q组患者比较,骨髓浆细胞≥0.300者所占比例分别为70.0%和58.1%,差异有统计学意义(P=0.033),但两组患者间年龄、性别、M蛋白类型、临床分期及LDH水平的差异均无统计学意义(P值均>0.05)(表1)。
表1

1q21扩增(1q)对其他临床特征及检测指标的影响[阳性例数/检测例数(%)]

临床特征1q组(92例)非1q组(88例)χ2P
年龄0.0210.117
 ≤60岁47/92(51.1)44/88(50.0)
 >60岁45/92(48.9)44/88(50.0)
性别0.1060.113
 男49/92(53.3)49/88(55.7)
 女43/92(46.7)39/88(44.3)
骨髓浆细胞2.6920.033
 ≥0.30063/90(70.0)50/86(58.1)
 <0.30027/90(30.0)36/86(41.9)
M蛋白类型
 IgG型36/92(39.1)40/88(45.5)0.7370.083
 IgA型24/92(26.1)17/88(19.3)1.1720.079
 IgD型9/92(9.8)3/88(3.4)0.057
 轻链型21/92(22.8)24/88(27.3)0.4740.108
 不分泌型2/92(2.2)4/88(4.5)0.225
Durie-Salmon分期0.323
 Ⅰ/Ⅱ期3/92(3.3)2/88(2.3)
 Ⅲ期89/92(96.7)86/88(97.7)
ISS分期0.0230.117
 Ⅰ/Ⅱ期46/92(50.0)43/88(48.9)
 Ⅲ期46/92(50.0)45/88(51.1)
LDH0.6850.111
 <220 U/L54/73(74.0)59/74(79.7)
 ≥220 U/L19/73(26.0)15/74(20.3)
细胞遗传学异常
 del(17p)11/92(12.0)18/88(20.5)2.4030.049
 del(13q/13q14)44/89(49.4)35/86(40.7)1.3490.062
 del(1p)10/36(27.8)3/32(9.4)0.040
 IGH重排65/90(72.2)49/85(57.6)4.0900.017
 t(11;14)3/24(12.5)7/34(20.6)0.209
 t(4;14)4/23(17.4)4/28(14.3)0.285
 t(14;16)1/23(4.3)1/28(3.6)0.505
1q组患者中伴del(17p)者的比例明显低于非1q组(P=0.049),伴del(1p)、IGH重排者的比例明显高于非1q组(P值分别为0.040、0.017);伴del(13q)、t(11;14)、t(4;14)者的比例两组间差异无统计学意义(P值均>0.05)(表1)。 3.1q对患者预后的影响:180例患者中,6例死亡时间不详,未纳入生存分析。174例有完整随访资料的患者中,1q组与非1q组患者的中位OS时间分别为29.4(95% CI 28.9~38.7)、44.0(95% CI 36.4~47.6)个月(P=0.038),中位PFS时间分别为15.0(95% CI 15.0~22.1)、20.3(95% CI 20.7~31.2)个月(P=0.029),差异均有统计学意义(图1)。有1q拷贝数检测结果的67例患者中,43例为3个拷贝(64.2%),24例为>3个拷贝(35.8%),两组间患者的OS和PFS差异均无统计学意义(P值分别为0.225、0.943)(图2)。多因素分析结果显示,ISS分期、HGB、β2微球蛋白、1q是影响患者OS的不良因素,HGB、1q是影响患者PFS的不良因素(表2)。
图1

1q21扩增对初治多发性骨髓瘤患者总生存(A)和无进展生存(B)的影响

图2

1q21扩增拷贝数对初治多发性骨髓瘤患者总生存(A)和无进展生存(B)的影响

表2

影响初治多发性骨髓瘤患者预后的多因素分析

影响因素总生存
无进展生存
HR95%CIPHR95%CIP
性别(男/女)0.9370.469~1.8740.8551.4530.885~2.3850.140
年龄(≥60岁/<60岁)1.0880.539~2.1940.8151.0910.651~1.8270.741
ISS分期(Ⅲ期/Ⅰ~Ⅱ期)4.3721.116~17.1250.0341.8880.598~5.9600.279
M蛋白类型(IgA/非IgA)0.8420.376~1.8840.6761.0920.626~1.9060.756
HGB(<100 g/L/≥100 g/L)2.9331.183~7.2710.0202.2311.167~4.2670.015
eGFR(<40 ml/min/≥40 ml/min)2.1290.788~5.7550.1361.3060.681~2.5040.421
LDH(≥220 U/L/<220 U/L)1.6590.776~3.5440.1911.0810.591~1.9790.799
β2微球蛋白(≥5.5 mmol/L/<5.5 mmol/L)0.1950.044~0.8680.0320.5690.164~1.9720.374
骨髓浆细胞比例(≥0.300/<0.300)0.4360.189~1.0060.0520.8740.490~1.5600.649
del(17p)(阳性/阴性)1.1910.415~3.4180.7641.2060.599~2.4300.600
1q21扩增(阳性/阴性)2.3531.090~5.0780.0291.9101.105~3.3030.020
4.1qBtz疗效的影响:92例伴1q患者中,66例接受含Btz方案治疗,26例接受不含Btz方案治疗,除1例不含Btz方案组患者无疗效评价外,伴1q患者接受Btz治疗的ORR(71.2%)略高于不含Btz组(64.0%),但差异无统计学意义(χ2=0.443,P=0.158);而深度缓解率(62.1%)显著优于不含Btz组(40.0%),差异有统计学意义(χ2=3.602,P=0.032)。但伴和不伴1q患者对Btz疗效反应差异无统计学意义(ORR:χ2=0.160,P=0.195;≥VGPR:χ2=0.008,P=0.145)。生存分析显示,接受≥4个疗程Btz、<4个疗程Btz及不含Btz治疗的1q患者中位OS及PFS时间差异均无统计学意义(P值分别为0.186、0.700)。66例接受Btz治疗的1q患者中,9例后续接受auto-HSCT治疗患者的中位PFS时间(19个月)较非auto-HSCT组(13个月)显著延长,差异有统计学意义(P=0.048),中位OS时间差异无统计学意义(未达到对27.1个月,P=0.140)。 5.GEP分析:分析具有1q检测结果的MM样本(2个拷贝131例,3个拷贝69例,>3个拷贝43例),结果显示在全基因组水平,1q组和非1q组MM患者样本的GEP截然不同,1q导致共1 602个(9.8%)基因的表达变化,其中上调基因略多于下调者,广泛分布于除Y染色体外的几乎所有染色体,差异显著的基因主要与DNA修复(P=3.5×10−5)、细胞周期(P=4.1×10−13)、发育(P=0.040)、分化(P=0.010)、药物靶点(P=0.020)等有关;在1号染色体水平上,1q导致455个基因(28.1%)的表达变化,多数为上调,与细胞周期调节显著相关(P=1.5×10−4),其中长臂的基因绝大多数为上调(>97%),而位于短臂的基因则以下调占优(>66%);在1q21区中,1q导致113个基因(56.8%)的表达变化,>98%为上调,包括多个已知与MM耐药或预后不良有关的基因,如CKS1B、ANP32E、PSMD4MCL1IL-6R等,主要与细胞凋亡(P=8.1×10−3)、信号传导(P=8.4×10−4)和细胞周期(P=3.8×10−3)相关,但拷贝数>3与3之间的差异甚小,仅有4个基因表达上调。

讨论

1q作为一种MM最常见细胞遗传学异常,在初治MM患者中的发生率为30%~40%[12],[14]。在本研究的180例初治MM患者中,1q发生率为51.1%,高于国外研究报道,但与国内An等[7]报道的48.9%相近,提示中国人群中初治MM患者的1q发生率可能高于欧美人群。 1q1q区基因(如CKS1B)过表达与MM患者预后及生存不良密切相关[12],[14]。本研究中有70%以上患者接受以Btz为基础的诱导治疗,部分接受以沙利度胺及来那度胺等为基础的治疗,伴1q MM患者的PFS和OS时间显著短于非1q者。多因素分析结果则显示,1q是影响初治MM患者预后的独立不良因素。提示在新药时代,伴1q MM患者的预后并未得到明显的改善。 2016年IMWG共识中指出,多个遗传学异常伴随出现的危险性高于单一遗传学异常[1]。del(1p)也是一种影响预后的独立危险因素[15]。在本研究结果显示,1q患者中del(1p)的发生率为27.8%,与前期报告相符[16],而在非1q患者中仅为9.4%,两者差异有统计学意义。1q患者中IGH重排的发生率较非1q患者高(72.2%对57.6%),与文献[17]报道的1q患者中IGH重排发生率(72%)相近,提示两者共存的现象较为常见。但1q患者中del(17p)的发生率则较非1q患者低(20.5%对12.0%)。提示在分析1q患者疗效和生存时,应考虑多种遗传学异常共存因素的影响[18]。关于1q拷贝数与预后的关系,目前认识尚不一致[12],[19]–[20]。我们的研究结果显示,1q拷贝数3和>3个患者的OS和PFS差异无统计学意义,支持An等[20]提出的结论:至少在中国人群中,1q拷贝数多少不具备附加预后价值。 Btz、来那度胺等新药的应用,并未显著改善伴1q MM患者的疗效和预后[8],[19]–[21]。我们的研究结果显示,1q患者接受含或不含Btz的治疗,其PFS和OS差异无统计学意义;尽管伴和不伴1q患者对Btz的疗效反应差异无统计学意义,但后者的预后明显优于前者;在1q患者中,与接受不含Btz组相比,以Btz为基础的方案能显著增加患者的深度缓解率,序贯auto-HSCT巩固治疗,则可明显延长其PFS时间,且OS时间亦呈现延长趋势。Shah等[22]研究发现,1q患者对Btz、来那度胺或两者联合治疗的反应与非1q患者相似,但未比较auto-HSCT对1q患者预后的影响。据此我们认为,尽管Btz治疗本身并不能使1q患者长期获益,但可以诱导良好的缓解,序贯auto-HSCT巩固治疗,则可能改善该高危亚型患者的生存。Dispenzieri[23]认为,对初治、适合移植的1q MM患者,建议以Btz和免疫调节剂(如VRd方案)诱导治疗3~6个月(4个周期),然后进行2次auto-HSCT,再用含Btz方案巩固1年以上;对于不适合移植的患者,则建议以Btz联合免疫调节剂(如VRd方案)治疗12个月,再以含Btz方案巩固1年以上。因此,肯定了当前Btz在治疗1q MM中的作用。 鉴于单基因(如CKS1B)检测难以预测MM患者的预后[24],IMWG等一直在探讨采用GEP进行危险分层[25]–[29]。本研究通过对GEP数据库分析发现,1q组和非1q组MM患者样本的全基因组、1号染色体或1q21区的GEP均截然不同:1q不仅显著上调该区基因的表达,并导致全基因组众多基因表达的异常,主要与DNA修复和细胞周期有关,两者均与细胞增殖有关;1号染色体长臂基因以上调为主,而短臂中则以下调占优,可能与1q常伴del(1p)有关;但与3拷贝相比,≥4拷贝仅增加4个基因的表达,支持拷贝数增加对预后无附加影响的结果。 综上,本研究结果证实,1q是MM的高发、高危遗传学异常之一,与肿瘤负荷显著相关,常与IGH重排和del(1p)伴随存在,但伴del(17p)则相对较少,而两种以上遗传学异常共存的预后可能更差。Btz治疗可显著增加1q患者的深度缓解率,序贯auto-HSCT巩固治疗,可能改善该高危亚型患者的生存。1q不仅影响该染色体区基因的表达,也导致1号染色体及全基因组中众多基因的表达异常。因此,针对1qGEP分析,有助于对该高危亚型更精确的危险分层,并可能解析其高危性的分子基础。
  29 in total

1.  Impact of cytogenetics in patients with relapsed or refractory multiple myeloma treated with bortezomib: Adverse effect of 1q21 gains.

Authors:  Hong Chang; Young Trieu; Xiaoying Qi; Nan N Jiang; Wei Xu; Donna Reece
Journal:  Leuk Res       Date:  2010-05-26       Impact factor: 3.156

2.  Identification of characteristic and prognostic values of chromosome 1p abnormality by multi-gene fluorescence in situ hybridization in multiple myeloma.

Authors:  F Li; L Hu; Y Xu; Z Li; S Yi; Z Gu; C Li; M Hao; K Ru; F Zhan; A Zetterberg; W Yuan; T Cheng; L Qiu
Journal:  Leukemia       Date:  2015-09-16       Impact factor: 11.528

3.  Chromosome 1q21 gains confer inferior outcomes in multiple myeloma treated with bortezomib but copy number variation and percentage of plasma cells involved have no additional prognostic value.

Authors:  Gang An; Yan Xu; Lihui Shi; Zhong Shizhen; Shuhui Deng; Zhenqing Xie; Weiwei Sui; Fenghuang Zhan; Lugui Qiu
Journal:  Haematologica       Date:  2013-11-08       Impact factor: 9.941

4.  The reconstruction of transcriptional networks reveals critical genes with implications for clinical outcome of multiple myeloma.

Authors:  Luca Agnelli; Mattia Forcato; Francesco Ferrari; Giacomo Tuana; Katia Todoerti; Brian A Walker; Gareth J Morgan; Luigia Lombardi; Silvio Bicciato; Antonino Neri
Journal:  Clin Cancer Res       Date:  2011-09-02       Impact factor: 12.531

5.  Proteasome inhibitors and IMiDs can overcome some high-risk cytogenetics in multiple myeloma but not gain 1q21.

Authors:  Hareth Nahi; Thea Kristin Våtsveen; Johan Lund; Bart M S Heeg; Birgitte Preiss; Evren Alici; Michael Boe Møller; Karin Fahl Wader; Hanne E H Møller; Lill Anny Grøseth; Brian Østergaard; Hong Yan Dai; Erik Holmberg; Gösta Gahrton; Anders Waage; Niels Abildgaard
Journal:  Eur J Haematol       Date:  2015-06-29       Impact factor: 2.997

6.  Long-term analysis of the IFM 99 trials for myeloma: cytogenetic abnormalities [t(4;14), del(17p), 1q gains] play a major role in defining long-term survival.

Authors:  Hervé Avet-Loiseau; Michel Attal; Loic Campion; Denis Caillot; Cyrille Hulin; Gerald Marit; Anne-Marie Stoppa; Laurent Voillat; Marc Wetterwald; Brigitte Pegourie; Eric Voog; Mourad Tiab; Anne Banos; Jerome Jaubert; Didier Bouscary; Margaret Macro; Brigitte Kolb; Catherine Traulle; Claire Mathiot; Florence Magrangeas; Stephane Minvielle; Thierry Facon; Philippe Moreau
Journal:  J Clin Oncol       Date:  2012-04-30       Impact factor: 44.544

7.  A validated gene expression model of high-risk multiple myeloma is defined by deregulated expression of genes mapping to chromosome 1.

Authors:  John D Shaughnessy; Fenghuang Zhan; Bart E Burington; Yongsheng Huang; Simona Colla; Ichiro Hanamura; James P Stewart; Bob Kordsmeier; Christopher Randolph; David R Williams; Yan Xiao; Hongwei Xu; Joshua Epstein; Elias Anaissie; Somashekar G Krishna; Michele Cottler-Fox; Klaus Hollmig; Abid Mohiuddin; Mauricio Pineda-Roman; Guido Tricot; Frits van Rhee; Jeffrey Sawyer; Yazan Alsayed; Ronald Walker; Maurizio Zangari; John Crowley; Bart Barlogie
Journal:  Blood       Date:  2006-11-14       Impact factor: 22.113

Review 8.  International Myeloma Working Group consensus criteria for response and minimal residual disease assessment in multiple myeloma.

Authors:  Shaji Kumar; Bruno Paiva; Kenneth C Anderson; Brian Durie; Ola Landgren; Philippe Moreau; Nikhil Munshi; Sagar Lonial; Joan Bladé; Maria-Victoria Mateos; Meletios Dimopoulos; Efstathios Kastritis; Mario Boccadoro; Robert Orlowski; Hartmut Goldschmidt; Andrew Spencer; Jian Hou; Wee Joo Chng; Saad Z Usmani; Elena Zamagni; Kazuyuki Shimizu; Sundar Jagannath; Hans E Johnsen; Evangelos Terpos; Anthony Reiman; Robert A Kyle; Pieter Sonneveld; Paul G Richardson; Philip McCarthy; Heinz Ludwig; Wenming Chen; Michele Cavo; Jean-Luc Harousseau; Suzanne Lentzsch; Jens Hillengass; Antonio Palumbo; Alberto Orfao; S Vincent Rajkumar; Jesus San Miguel; Herve Avet-Loiseau
Journal:  Lancet Oncol       Date:  2016-08       Impact factor: 41.316

Review 9.  IMWG consensus on risk stratification in multiple myeloma.

Authors:  W J Chng; A Dispenzieri; C-S Chim; R Fonseca; H Goldschmidt; S Lentzsch; N Munshi; A Palumbo; J S Miguel; P Sonneveld; M Cavo; S Usmani; B G M Durie; H Avet-Loiseau
Journal:  Leukemia       Date:  2013-08-26       Impact factor: 11.528

10.  Integration of global SNP-based mapping and expression arrays reveals key regions, mechanisms, and genes important in the pathogenesis of multiple myeloma.

Authors:  Brian A Walker; Paola E Leone; Matthew W Jenner; Cheng Li; David Gonzalez; David C Johnson; Fiona M Ross; Faith E Davies; Gareth J Morgan
Journal:  Blood       Date:  2006-05-16       Impact factor: 22.113

View more
  2 in total

1.  [The correlations and prognostic value of neutrophil to lymphocyte ratio, immunophenotype and cytogenetic abnormalities in patients with newly diagnosed multiple myeloma].

Authors:  J J Hu; S M Nie; Y Gao; X S Yan; J X Huang; T L Li; S S Liu; C X Mao; J J Zhou; Y J Xu; W Wang; F J Meng; X Q Feng
Journal:  Zhonghua Xue Ye Xue Za Zhi       Date:  2019-12-14

2.  Globular C1q Receptor (gC1qR/p32/HABP1) Suppresses the Tumor-Inhibiting Role of C1q and Promotes Tumor Proliferation in 1q21-Amplified Multiple Myeloma.

Authors:  Jiadai Xu; Yifeng Sun; Jifeng Jiang; Zhao Xu; Jing Li; Tianhong Xu; Peng Liu
Journal:  Front Immunol       Date:  2020-07-14       Impact factor: 7.561

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.