炎症-营养指标对新诊断多发性骨髓瘤患者预后和早期死亡的预测作用

王亮, 李娜, 王雪, 等. 炎症-营养指标对新诊断多发性骨髓瘤患者预后和早期死亡的预测作用[J]. 临床血液学杂志, 2024, 37(9): 649-656. doi: 10.13201/j.issn.1004-2806.2024.09.010
引用本文: 王亮, 李娜, 王雪, 等. 炎症-营养指标对新诊断多发性骨髓瘤患者预后和早期死亡的预测作用[J]. 临床血液学杂志, 2024, 37(9): 649-656. doi: 10.13201/j.issn.1004-2806.2024.09.010
WANG Liang, LI Na, WANG Xue, et al. The role of inflammatory-nutritional indicators in predicting the prognosis and early mortality of newly diagnosed multiple myeloma patients[J]. J Clin Hematol, 2024, 37(9): 649-656. doi: 10.13201/j.issn.1004-2806.2024.09.010
Citation: WANG Liang, LI Na, WANG Xue, et al. The role of inflammatory-nutritional indicators in predicting the prognosis and early mortality of newly diagnosed multiple myeloma patients[J]. J Clin Hematol, 2024, 37(9): 649-656. doi: 10.13201/j.issn.1004-2806.2024.09.010

炎症-营养指标对新诊断多发性骨髓瘤患者预后和早期死亡的预测作用

  • 基金项目:
    国家自然科学基金(No:81930005)
详细信息
    通讯作者: 徐开林,E-mail:lihmd@163.com
  • 中图分类号: R733.3

The role of inflammatory-nutritional indicators in predicting the prognosis and early mortality of newly diagnosed multiple myeloma patients

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  • 目的 探讨炎症-营养指标对新诊断多发性骨髓瘤(newly diagnosed multiple myeloma,NDMM)患者的预后及早期死亡的预测作用。方法 回顾性分析2015年8月至2022年2月在徐州医科大学附属医院初次诊断的161例NDMM患者的临床资料,包括年龄、性别、血红蛋白、白蛋白、乳酸脱氢酶(LDH)、血肌酐、血β2-微球蛋白、肿瘤负荷、浆细胞表面的CD27及CD56表达、荧光原位杂交检测细胞遗传学结果、是否合并髓外病变、是否合并脾大、预后营养指数(PNI)、炎症指标单核-淋巴细胞比值(MLR)、系统性免疫炎症指数以及治疗方案。对初诊时基线特征及治疗方案进行单因素及多因素Cox比例风险回归分析探索影响预后的因素,采用单因素及多因素logistic回归方法分析影响早期死亡的因素。结果 单因素Cox回归分析显示,血红蛋白、LDH、PNI、MLR、CD27是影响患者无进展生存时间的因素(P < 0.05);年龄、LDH、PNI、MLR、CD27、CD56是影响患者总生存时间的因素(P < 0.05)。多因素Cox回归分析显示,高LDH、高MLR、CD27阴性是影响无进展生存时间的独立危险因素(P < 0.05);年龄≥65岁、高LDH、低PNI、高MLR、1q21扩增阳性是影响总生存时间的独立危险因素(P < 0.05)。12个月内死亡和24个月内死亡的发生率分别为11.5%和24.2%。年龄≥65岁、浆细胞表面CD56阴性是12个月内死亡和24个月内死亡的独立影响因素;高LDH是12个月内死亡的独立影响因素;高MLR、低PNI是24个月内死亡的独立影响因素(均P < 0.05)。结论 低PNI、高MLR是影响NDMM患者预后的独立不良因素,可能预示患者早期死亡的风险增加。
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  • 表 1  161例NDMM患者的临床特征

    临床特征 例(%) 临床特征 例(%)
    年龄/岁 β2-MG/(mg/L)
       < 65 95(59.0)    < 3.5 95(59.0)
      ≥65 66(41.0)   ≥3.5 66(41.0)
    性别 细胞遗传学
      女 68(42.2)   正常 11(6.8)
      男 93(57.8)   P53缺失 32(19.9)
    HGB/(g/L)   1q21扩增 116(72.0)
      ≥100 61(37.9)   Rb缺失 74(46.0)
       < 100 100(62.1)   IgH重排 142(88.2)
    Ca2+/(mmol/L)   13q14缺失 89(55.3)
       < 2.65 131(81.4) CD27
      ≥2.65 30(18.6)   阳性 131(81.4)
    Alb/(g/L)   阴性 30(18.6)
      ≥40 46(28.6) CD56
       < 0 115(71.4)   阳性 111(68.9)
    Cr/(μmol/L)   阴性 50(31.1)
       < 177 126(78.3) DS分期
      ≥177 35(21.7)   Ⅰ 14(8.7)
    LDH/(U/L)   Ⅱ 39(24.2)
       < 250 127(78.9)   Ⅲ 108(67.1)
      ≥250 34(21.1) ISS分期
    PNI   Ⅰ 57(35.4)
      ≥45 68(42.2)   Ⅱ 72(44.7)
       < 45 93(57.8)   Ⅲ 32(19.9)
    MLR 蛋白酶体抑制剂
       < 0.225 76(47.2)   否 4(2.5)
      ≥0.225 85(52.8)   是 157(97.5)
    SII 免疫调节剂
       < 474.81 115(71.4)   否 39(24.2)
      ≥474.81 46(28.6)   是 122(75.8)
    骨髓浆细胞比例/% ASCT
       < 50 127(78.9)   否 115(71.4)
      ≥50 34(21.1)   是 46(28.6)
      正常 136(84.5)
      增大 25(15.5)
    下载: 导出CSV

    表 2  NDMM患者PFS的单因素与多因素分析

    临床特征 单因素分析 多因素分析
    HR 95%CI P HR 95%CI P
    年龄(≥65岁vs < 65岁) 1.502 0.999~2.258 0.050 1.147 0.717~1.833 0.568
    性别(男vs女) 1.048 0.695~1.581 0.823
    骨髓浆细胞比例(≥50% vs < 50%) 1.035 0.636~1.683 0.890
    HGB(< 100 g/L vs ≥100 g/L) 1.660 1.069~2.578 0.024 1.472 0.926~2.338 0.102
    Alb(< 40 g/L vs ≥40 g/L) 1.198 0.752~1.907 0.447
    Cr(≥177 μmol/L vs < 177 μmol/L) 1.407 0.856~2.314 0.178
    LDH(≥250 U/L vs < 250 U/L) 2.245 1.423~3.543 0.001 1.802 1.091~2.975 0.021
    Ca2+(≥2.65 mmol/L vs < 2.65 mmol/L) 1.033 0.618~1.729 0.900
    β2-MG(≥3.5 mg/L vs < 3.5 mg/L) 1.160 0.767~1.754 0.482
    PNI(< 45 vs ≥45) 1.692 1.101~2.601 0.016 1.526 0.974~2.389 0.065
    脾(增大vs正常) 0.717 0.399~1.290 0.267
    初诊时合并EMD(是vs否) 1.277 0.771~2.115 0.342
    MLR(≥0.225 vs < 0.225) 2.509 1.622~3.880 < 0.001 2.294 1.443~3.645 < 0.001
    SII(≥474.81 vs < 474.81) 1.189 0.763~1.852 0.445
    CD27(阴性vs阳性) 2.004 1.262~3.181 0.003 1.771 1.081~2.902 0.023
    CD56(阴性vs阳性) 1.438 0.940~2.201 0.094 1.004 0.644~1.566 0.986
    P53缺失(是vs否) 1.118 0.668~1.871 0.671
    1q21扩增(是vs否) 1.323 0.830~2.106 0.239
    Rb缺失(是vs否) 1.172 0.779~1.761 0.447
    IgH重排(是vs否) 1.491 0.786~2.829 0.221
    13q14缺失(是vs否) 1.066 0.707~1.607 0.760
    蛋白酶体抑制剂(是vs否) 0.718 0.226~2.277 0.574
    免疫调节剂(是vs否) 0.536 0.343~0.835 0.006 0.548 0.344~0.873 0.011
    ASCT(是vs否) 0.415 0.245~0.702 0.001 0.488 0.277~0.858 0.013
    下载: 导出CSV

    表 3  NDMM患者OS的单因素与多因素分析

    临床特征 单因素分析 多因素分析
    HR 95%CI P HR 95%CI P
    年龄(≥65岁vs < 65岁) 2.359 1.408~3.951 0.001 1.837 1.020~3.309 0.043
    性别(男vs女) 1.121 0.672~1.869 0.662
    骨髓浆细胞比例(≥50% vs < 50%) 0.850 0.451~1.603 0.616
    HGB(< 100 g/L vs ≥100 g/L) 1.441 0.835~2.486 0.190
    Alb(< 40 g/L vs ≥40 g/L) 1.713 0.909~3.226 0.096 1.169 0.418~3.263 0.766
    Cr(≥177 μmol/L vs < 177 μmol/L) 1.791 0.994~3.226 0.052 1.496 0.784~2.853 0.222
    LDH(≥250 U/L vs < 250 U/L) 2.536 1.466~4.388 0.001 2.329 1.273~4.262 0.006
    Ca2+(≥2.65 mmol/L vs < 2.65 mmol/L) 1.193 0.633~2.247 0.586
    β2-MG(≥3.5 mg/L vs < 3.5 mg/L) 1.397 0.835~2.337 0.202
    PNI(< 45 vs ≥45) 2.401 1.352~4.264 0.003 2.618 1.045~6.556 0.040
    脾(增大vs正常) 0.978 0.507~1.886 0.946
    初诊时合并EMD(是vs否) 1.150 0.597~2.217 0.675
    MLR(≥0.225 vs < 0.225) 2.813 1.583~4.996 < 0.001 2.147 1.130~4.082 0.020
    SII(≥474.81 vs < 474.81) 1.492 0.876~2.541 0.141
    CD27(阴性vs阳性) 1.801 1.024~3.169 0.041 1.520 0.804~2.871 0.197
    CD56(阴性vs阳性) 1.697 1.011~2.851 0.046 1.232 0.718~2.111 0.449
    P53缺失(是vs否) 1.546 0.846~2.825 0.157
    1q21扩增(是vs否) 1.704 0.938~3.095 0.080 2.325 1.177~4.594 0.015
    Rb缺失(是vs否) 1.047 0.630~1.739 0.861
    IgH重排(是vs否) 1.678 0.778~3.617 0.187
    13q14缺失(是vs否) 0.942 0.566~1.567 0.819
    蛋白酶体抑制剂(是vs否) 0.561 0.173~1.820 0.336
    免疫调节剂(是vs否) 0.512 0.300~0.874 0.014 0.520 0.284~0.952 0.034
    ASCT(是vs否) 0.315 0.149~0.664 0.002 0.448 0.203~0.989 0.047
    下载: 导出CSV

    表 4  NDMM患者早期死亡的单因素分析

    临床特征 12个月内死亡 24个月内死亡
    OR 95%CI P OR 95%CI P
    年龄(≥65岁vs < 65岁) 3.296 1.169~9.295 0.024 4.656 2.089~10.378 < 0.001
    性别(男vs女) 2.047 0.693~6.047 0.195 0.890 0.422~1.880 0.761
    骨髓浆细胞比例(≥50% vs < 50%) 0.434 0.095~1.986 0.282 0.396 0.129~1.210 0.104
    HGB(< 100 g/L vs ≥100 g/L) 1.250 0.443~3.523 0.673 1.103 0.511~2.381 0.803
    Alb(< 40 g/L vs ≥40 g/L) 1.045 0.350~3.118 0.937 1.879 0.758~4.658 0.173
    Cr(≥177 μmol/L vs < 177 μmol/L) 3.437 1.240~9.529 0.018 1.538 0.657~3.603 0.321
    LDH(≥250 U/L vs < 250 U/L) 4.720 1.702~13.086 0.003 2.799 1.225~6.394 0.015
    Ca2+(≥2.65 mmol/L vs < 2.65 mmol/L) 0.859 0.232~3.179 0.820 1.070 0.418~2.744 0.887
    β2-MG(≥3.5 mg/L vs < 3.5 mg/L) 0.906 0.332~2.474 0.847 1.388 0.658~2.927 0.390
    PNI(< 45 vs ≥45) 1.531 0.544~4.307 0.420 3.231 1.366~7.639 0.008
    脾(增大vs正常) 1.100 0.294~4.119 0.887 0.619 0.198~1.936 0.410
    初诊时合并EMD(是vs否) 1.417 0.429~4.678 0.568 1.500 0.598~3.763 0.388
    MLR(≥0.225 vs < 0.225) 3.549 1.114~11.305 0.032 5.105 2.081~12.523 < 0.001
    SII(≥474.81 vs < 474.81) 2.865 1.057~7.763 0.039 1.849 0.847~4.040 0.123
    CD27(阴性vs阳性) 1.286 0.391~4.225 0.679 1.338 0.538~3.325 0.531
    CD56(阴性vs阳性) 5.526 1.938~15.759 0.001 2.906 1.350~6.258 0.006
    P53缺失(是vs否) 2.250 0.773~6.548 0.137 2.179 0.931~5.099 0.073
    1q21扩增(是vs否) 2.079 0.572~7.559 0.266 2.267 0.873~5.891 0.093
    Rb缺失(是vs否) 0.722 0.265~1.968 0.524 0.924 0.439~1.948 0.836
    IgH重排(是vs否) 2.448 0.307~19.525 0.398 2.676 0.588~12.174 0.203
    13q14缺失(是vs否) 0.788 0.295~2.101 0.633 0.761 0.362~1.599 0.470
    蛋白酶体抑制剂(是vs否) 0.364 0.036~3.701 0.393 0.276 0.038~2.035 0.207
    免疫调节剂(是vs否) 0.265 0.097~0.727 0.010 0.551 0.244~1.243 0.151
    ASCT(是vs否) < 0.001 0~∞ 0.991 0.173 0.050~0.598 0.006
    下载: 导出CSV

    表 5  NDMM患者早期死亡的多因素分析

    临床特征 12个月内死亡 24个月内死亡
    OR 95%CI P OR 95%CI P
    年龄(≥65岁vs < 65岁) 4.279 1.156~15.830 0.029 2.830 1.067~7.502 0.037
    LDH(≥250 U/L vs < 250 U/L) 5.778 1.584~21.079 0.008 2.301 0.826~6.412 0.111
    MLR(≥0.225 vs < 0.225) 1.070 0.252~4.544 0.927 4.191 1.487~11.814 0.007
    CD56(阴性vs阳性) 4.857 1.463~16.132 0.010 2.976 1.157~7.653 0.024
    Cr(≥177 μmol/L vs < 177 μmol/L) 1.272 0.337~4.806 0.723
    SII(≥474.81 vs < 474.81) 2.539 0.673~9.579 0.169
    免疫调节剂(是vs否) 0.308 0.090~1.062 0.062
    PNI(< 45 vs ≥45) 3.960 1.326~11.825 0.014
    P53缺失(是vs否) 2.828 0.944~8.471 0.063
    1q21扩增(是vs否) 2.936 0.883~9.756 0.079
    ASCT(是vs否) 0.263 0.063~1.088 0.065
    下载: 导出CSV
  • [1]

    D'Agostino M, Cairns DA, Lahuerta JJ, et al. Second Revision of the International Staging System(R2-ISS)for Overall Survival in Multiple Myeloma: A European Myeloma Network(EMN)Report Within the HARMONY Project[J]. J Clin Oncol, 2022, 40(29): 3406-3418. doi: 10.1200/JCO.21.02614

    [2]

    Palumbo A, Avet-Loiseau H, Oliva S, et al. Revised International Staging System for Multiple Myeloma: A Report From International Myeloma Working Group[J]. J Clin Oncol, 2015, 33(26): 2863-2869. doi: 10.1200/JCO.2015.61.2267

    [3]

    Rios-Tamayo R, Sainz J, Martinez-Lopez J, et al. Early mortality in multiple myeloma: the time-dependent impact of comorbidity: A population-based study in 621 real-life patients[J]. Am J Hematol, 2016, 91(7): 700-704. doi: 10.1002/ajh.24389

    [4]

    Grant SJ, Wildes TM, Rosko AE, et al. A real-world data analysis of predictors of early mortality after a diagnosis of multiple myeloma[J]. Cancer, 2023, 129(13): 2023-2034. doi: 10.1002/cncr.34760

    [5]

    Kumar SK, Dispenzieri A, Lacy MQ, et al. Continued improvement in survival in multiple myeloma: changes in early mortality and outcomes in older patients[J]. Leukemia, 2014, 28(5): 1122-1128. doi: 10.1038/leu.2013.313

    [6]

    Fan Z, Shou L. Prognostic and clinicopathological impacts of systemic immune-inflammation index on patients with diffuse large B-cell lymphoma: a meta-analysis[J]. Ther Adv Hematol, 2023, 14: 20406207231208973. doi: 10.1177/20406207231208973

    [7]

    梁飞, 董雪燕, 唐国峰, 等. 预后营养指数、控制营养状况对多发性骨髓瘤患者预后的影响[J]. 中华血液学杂志, 2021, 42(4): 332-337.

    [8]

    惠卉, 余浩源, 李德鹏. 外周血淋巴细胞/单核细胞比值、淋巴细胞亚群与去甲基化药物治疗初发骨髓增生异常综合征疗效的相关性研究[J]. 临床血液学杂志, 2023, 36(3): 200-205. doi: 10.13201/j.issn.1004-2806.2023.03.011

    [9]

    余超, 吴玉玲, 张手丽, 等. 血细胞相关比值与多发性骨髓瘤患者临床预后的相关性[J]. 临床血液学杂志, 2023, 36(4): 249-254. doi: 10.13201/j.issn.1004-2806.2023.04.006

    [10]

    Rajkumar SV, Dimopoulos MA, Palumbo A, et al. International Myeloma Working Group updated criteria for the diagnosis of multiple myeloma[J]. Lancet Oncol, 2014, 15(12): e538-e548. doi: 10.1016/S1470-2045(14)70442-5

    [11]

    Raffetti E, Donato F, Castelnuovo F, et al. The prognostic role of systemic inflammatory markers on HIV-infected patients with non-Hodgkin lymphoma, a multicenter cohort study[J]. J Transl Med, 2015, 13(1): 89. doi: 10.1186/s12967-015-0446-8

    [12]

    Nie R, Yuan S, Chen S, et al. Prognostic nutritional index is an independent prognostic factor for gastric cancer patients with peritoneal dissemination[J]. Chin J Cancer Res, 2016, 28(6): 570-578. doi: 10.21147/j.issn.1000-9604.2016.06.03

    [13]

    Chen KL, Liu YH, Li WY, et al. The prognostic nutritional index predicts survival for patients with extranodal natural killer/T cell lymphoma, nasal type[J]. Ann Hematol, 2015, 94(8): 1389-1400. doi: 10.1007/s00277-015-2361-8

    [14]

    Costa LJ, Gonsalves WI, Kumar SK. Early mortality in multiple myeloma[J]. Leukemia, 2015, 29(7): 1616-1618. doi: 10.1038/leu.2015.33

    [15]

    Jung SH, Cho MS, Kim HK, et al. Risk factors associated with early mortality in patients with multiple myeloma who were treated upfront with a novel agents containing regimen[J]. BMC Cancer, 2016, 16: 613. doi: 10.1186/s12885-016-2645-y

    [16]

    Xia J, Wang L, Zhou X, et al. Early mortality in elderly patients undergoing treatment for multiple myeloma in real-world practice[J]. J Int Med Res, 2018, 46(6): 2230-2237. doi: 10.1177/0300060518757640

    [17]

    Gonsalves WI, Godby K, Kumar SK, et al. Limiting early mortality: Do's and don'ts in the management of patients with newly diagnosed multiple myeloma[J]. Am J Hematol, 2016, 91(1): 101-108. doi: 10.1002/ajh.24129

    [18]

    Zhang Q, Qian L, Liu T, et al. Prevalence and Prognostic Value of Malnutrition Among Elderly Cancer Patients Using Three Scoring Systems[J]. Front Nutr, 2021, 8: 738550. doi: 10.3389/fnut.2021.738550

    [19]

    Stefaniuk P, Szymczyk A, Podhorecka M. The Neutrophil to Lymphocyte and Lymphocyte to Monocyte Ratios as New Prognostic Factors in Hematological Malignancies-A Narrative Review[J]. Cancer Manag Res, 2020, 12: 2961-2977. doi: 10.2147/CMAR.S245928

    [20]

    Rosenberg SA. Progress in human tumour immunology and immunotherapy[J]. Nature, 2001, 411(6835): 380-384. doi: 10.1038/35077246

    [21]

    Ray-Coquard I, Cropet C, Van Glabbeke M, et al. Lymphopenia as a prognostic factor for overall survival in advanced carcinomas, sarcomas, and lymphomas[J]. Cancer Res, 2009, 69(13): 5383-5391. doi: 10.1158/0008-5472.CAN-08-3845

    [22]

    Sistigu A, Yamazaki T, Vacchelli E, et al. Cancer cell-autonomous contribution of type Ⅰ interferon signaling to the efficacy of chemotherapy[J]. Nat Med, 2014, 20(11): 1301-1309. doi: 10.1038/nm.3708

    [23]

    Wu Q, Hu T, Zheng E, et al. Prognostic role of the lymphocyte-to-monocyte ratio in colorectal cancer: An up-to-date meta-analysis[J]. Medicine(Baltimore), 2017, 96(22): e7051.

    [24]

    Ren L, Xu J, Li J, et al. A prognostic model incorporating inflammatory cells and cytokines for newly diagnosed multiple myeloma patients[J]. Clin Exp Med, 2023, 23(6): 2583-2591. doi: 10.1007/s10238-023-00992-8

    [25]

    Romano A, Laura Parrinello N, Cerchione C, et al. The NLR and LMR ratio in newly diagnosed MM patients treated upfront with novel agents[J]. Blood Cancer J, 2017, 7(12): 649. doi: 10.1038/s41408-017-0019-6

    [26]

    Dosani T, Covut F, Beck R, et al. Significance of the absolute lymphocyte/monocyte ratio as a prognostic immune biomarker in newly diagnosed multiple myeloma[J]. Blood Cancer J, 2017, 7(6): e579. doi: 10.1038/bcj.2017.60

    [27]

    Jimenez-Zepeda VH, Reece DE, Trudel S, et al. Absolute lymphocyte count as predictor of overall survival for patients with multiple myeloma treated with single autologous stem cell transplant[J]. Leuk Lymphoma, 2015, 56(9): 2668-2673. doi: 10.3109/10428194.2014.1003057

    [28]

    Baek O, Fabiansen C, Friis H, et al. Malnutrition Predisposes to Endotoxin-Induced Edema and Impaired Inflammatory Response in Parenterally Fed Piglets[J]. JPEN J Parenter Enteral Nutr, 2020, 44(4): 668-676. doi: 10.1002/jpen.1705

    [29]

    Almasaudi AS, McSorley ST, Dolan RD, et al. The relation between Malnutrition Universal Screening Tool(MUST), computed tomography-derived body composition, systemic inflammation, and clinical outcomes in patients undergoing surgery for colorectal cancer[J]. Am J Clin Nutr, 2019, 110(6): 1327-1334. doi: 10.1093/ajcn/nqz230

    [30]

    Carr BI, Guerra V. Serum albumin levels in relation to tumor parameters in hepatocellular carcinoma patients[J]. Int J Biol Markers, 2017, 32(4): e391-e396. doi: 10.5301/ijbm.5000300

    [31]

    Chen MF, Chen YY, Chen WC, et al. The relationship of nutritional status with anticancer immunity and its prognostic value for head and neck cancer[J]. Mol Carcinog, 2023, 62(9): 138813-98.

    [32]

    Bunt SK, Yang L, Sinha P, et al. Reduced inflammation in the tumor microenvironment delays the accumulation of myeloid-derived suppressor cells and limits tumor progression[J]. Cancer Res, 2007, 67(20): 10019-10026. doi: 10.1158/0008-5472.CAN-07-2354

    [33]

    Arends J, Bodoky G, Bozzetti F, et al. ESPEN Guidelines on Enteral Nutrition: Non-surgical oncology[J]. Clin Nutr, 2006, 25(2): 245-259. doi: 10.1016/j.clnu.2006.01.020

    [34]

    Cottini F, Rodriguez J, Hughes T, et al. Redefining CD56 as a Biomarker and Therapeutic Target in Multiple Myeloma[J]. Mol Cancer Res, 2022, 20(7): 1083-1095. doi: 10.1158/1541-7786.MCR-21-0828

    [35]

    Koumpis E, Tassi I, Malea T, et al. CD56 expression in multiple myeloma: Correlation with poor prognostic markers but no effect on outcome[J]. Pathol Res Pract, 2021, 225: 153567. doi: 10.1016/j.prp.2021.153567

    [36]

    Kremer M, Ott G, Nathrath M, et al. Primary extramedullary plasmacytoma and multiple myeloma: phenotypic differences revealed by immunohistochemical analysis[J]. J Pathol, 2005, 205(1): 92-101. doi: 10.1002/path.1680

    [37]

    Zhang L, Huang Y, Lin Y, et al. Prognostic significance of CD56 expression in patients with multiple myeloma: a meta-analysis[J]. Hematology, 2022, 27(1): 122-131. doi: 10.1080/16078454.2021.2019365

    [38]

    Skerget M, Skopec B, Zadnik V, et al. CD56 Expression Is an Important Prognostic Factor in Multiple Myeloma Even with Bortezomib Induction[J]. Acta Haematol, 2018, 139(4): 228-234. doi: 10.1159/000489483

    [39]

    Yoshida T, Ri M, Kinoshita S, et al. Low expression of neural cell adhesion molecule, CD56, is associated with low efficacy of bortezomib plus dexamethasone therapy in multiple myeloma[J]. PLoS One, 2018, 13(5): e0196780. doi: 10.1371/journal.pone.0196780

    [40]

    Claps G, Faouzi S, Quidville V, et al. The multiple roles of LDH in cancer[J]. Nat Rev Clin Oncol, 2022, 19(12): 749-762. doi: 10.1038/s41571-022-00686-2

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收稿日期:  2024-01-19
刊出日期:  2024-09-01

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