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新诊断多发性骨髓瘤染色体异常算法预后意义的开发与验证

Development and validation of prognostic implications of chromosome abnormalities algorithm for newly diagnosed multiple myeloma.

作者信息

Luo Tiancheng, Qiang Wanting, Lu Jing, He Haiyan, Liu Jin, Li Lu, Jiang Hua, Fu Weijun, Du Juan

机构信息

Department of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, The Second Military Medical University, Shanghai, China.

出版信息

Blood Sci. 2020 Jul 29;3(3):78-86. doi: 10.1097/BS9.0000000000000077. eCollection 2021 Jul.

DOI:10.1097/BS9.0000000000000077
PMID:35402836
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8975077/
Abstract

Fluorescence in situ hybridization (FISH) evaluation is essential for initial risk stratification in multiple myeloma (MM). The presence of specific cytogenetic abnormalities (CA) confers a heterogeneity impact on prognosis. However, the cutoff values among different centers are not uniform. Therefore, we conduct this study to better predict the prognosis of newly diagnosed MM patients based on FISH results. The Kaps method was used to calculate the chromosomal abnormal cutoff values. A total of 533 participants were included in the study. The best cutoff value of overall survival were as follows: 17p- 20.1%, 13q- 85%, 1q21+ 39%, t(11;14) 55.5%, t(14;16) 87%, and t(4;14) 53.5%. The survival analysis showed that 17p- and 1q21+ were the independent factors affecting both OS and progress free survival (PFS) among CA. The analysis based on the cutoff value obtained by Kaps suggested that 13q-, t(14;16), 17p-, and 1q21+ were independent factors affecting OS among CA; t(14;16), 17p-, and 1q21+ were independent factors affecting PFS among CA. The prognostic model was constructed by the Kaps method with the Harrell concordance index (c-index) at 0.719 (95% CI, 0.683-0.756; corrected 0.707), which was higher than that calculated by the European Myeloma Network criteria (0.714; 95% CI, 0.678-0.751; corrected 0.696). In conclusion, chromosomal abnormalities in different proportions and combinations can affect the prognosis of MM patients. Therefore, effective criteria should be formulated to evaluate the prognosis of MM patients better.

摘要

荧光原位杂交(FISH)评估对于多发性骨髓瘤(MM)的初始风险分层至关重要。特定细胞遗传学异常(CA)的存在对预后具有异质性影响。然而,不同中心的临界值并不统一。因此,我们开展本研究以基于FISH结果更好地预测新诊断MM患者的预后。采用Kaps方法计算染色体异常临界值。本研究共纳入533名参与者。总生存的最佳临界值如下:17p-为20.1%,13q-为85%,1q21+为39%,t(11;14)为55.5%,t(14;16)为87%,以及t(4;14)为53.5%。生存分析表明,在CA中,17p-和1q21+是影响总生存(OS)和无进展生存(PFS)的独立因素。基于Kaps获得的临界值进行的分析表明,在CA中,13q-、t(14;16)、17p-和1q21+是影响OS的独立因素;t(14;16)、17p-和1q21+是影响PFS的独立因素。采用Kaps方法构建的预后模型,其Harrell一致性指数(c指数)为0.719(95%CI,0.683 - 0.756;校正后为0.707),高于欧洲骨髓瘤网络标准计算的值(0.714;95%CI,0.678 - 0.751;校正后为0.696)。总之,不同比例和组合的染色体异常可影响MM患者的预后。因此,应制定有效的标准以更好地评估MM患者的预后。

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本文引用的文献

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Blood Cancer J. 2019 Dec 16;9(12):103. doi: 10.1038/s41408-019-0255-z.
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Natural history of multiple myeloma with de novo del(17p).初发性 del(17p)多发性骨髓瘤的自然史。
Blood Cancer J. 2019 Mar 7;9(3):32. doi: 10.1038/s41408-019-0191-y.
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Newly diagnosed multiple myeloma patients carrying monoallelic deletion of the whole locus of immunoglobulin heavy chain gene have a better prognosis compared to those with t(4;14) and t(14;16).
新诊断的多发性骨髓瘤患者携带免疫球蛋白重链基因全缺失的单等位基因缺失与伴有 t(4;14)和 t(14;16)的患者相比具有更好的预后。
Genes Chromosomes Cancer. 2019 Aug;58(8):516-520. doi: 10.1002/gcc.22738. Epub 2019 Feb 6.
4
Clinical Implications of t(11;14) in Patients with Multiple Myeloma Undergoing Autologous Stem Cell Transplantation.自体造血干细胞移植治疗多发性骨髓瘤患者 t(11;14)的临床意义。
Biol Blood Marrow Transplant. 2019 Mar;25(3):474-479. doi: 10.1016/j.bbmt.2018.11.003. Epub 2018 Nov 10.
5
A high-risk, Double-Hit, group of newly diagnosed myeloma identified by genomic analysis.通过基因组分析鉴定的一组新诊断骨髓瘤的高危、双重打击群体。
Leukemia. 2019 Jan;33(1):159-170. doi: 10.1038/s41375-018-0196-8. Epub 2018 Jul 2.
6
Single-center Experience in Treating Patients With t(4;14) Multiple Myeloma With and Without Planned Frontline Autologous Stem Cell Transplantation.单中心治疗伴或不伴计划内一线自体干细胞移植的t(4;14)多发性骨髓瘤患者的经验
Clin Lymphoma Myeloma Leuk. 2018 Mar;18(3):225-234. doi: 10.1016/j.clml.2017.12.009. Epub 2018 Jan 5.
7
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Evolutionary biology of high-risk multiple myeloma.高危多发性骨髓瘤的进化生物学。
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