• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

恶性淋巴瘤的预后生物标志物。

Prognostic biomarkers in malignant lymphomas.

机构信息

British Columbia Cancer Agency, Department of Pathology and Experimental Therapeutics, Vancouver, BC, Canada.

出版信息

Leuk Lymphoma. 2010 Aug;51 Suppl 1:11-9. doi: 10.3109/10428194.2010.500046.

DOI:10.3109/10428194.2010.500046
PMID:20658955
Abstract

There has recently been a rapid expansion in research aimed at identifying biomarkers that could improve the prognosis for patients with various subtypes of malignant lymphoma. Genomic and genetic studies have led to the identification of biological and clinical subgroups of diffuse large B-cell lymphomas with distinct underlying molecular features, divergent activation of oncogenetic pathways, and clinical course. Molecular studies of follicular lymphoma have suggested complex interactions between malignant cells and the surrounding immunological network that could affect disease progression. Moreover, the inflammatory cells of Hodgkin lymphoma have been shown to produce a complex network of cytokines and chemokines that provide a permissive microenvironment for tumor growth. Research into specific biomarkers and signaling pathways of malignant lymphomas might therefore result in the identification of novel targets for future therapeutic strategies. As gene expression profiling techniques are not yet feasible in the clinical laboratory, studies have aimed to translate the findings into more widely applicable techniques that might allow this research to be applied to routine clinical practice. This review focuses on recent advances in translational and clinical research on biomarkers in malignant lymphomas.

摘要

近年来,旨在确定生物标志物以改善各种恶性淋巴瘤亚型患者预后的研究迅速扩展。基因组和遗传学研究已经确定了弥漫性大 B 细胞淋巴瘤的生物学和临床亚群,这些亚群具有不同的潜在分子特征、不同的癌基因途径激活和临床病程。滤泡性淋巴瘤的分子研究表明,恶性细胞与周围免疫网络之间存在复杂的相互作用,可能影响疾病进展。此外,霍奇金淋巴瘤的炎症细胞已被证明能产生细胞因子和趋化因子的复杂网络,为肿瘤生长提供了一个许可的微环境。因此,对恶性淋巴瘤的特定生物标志物和信号通路的研究可能会确定未来治疗策略的新靶点。由于基因表达谱分析技术在临床实验室中尚不可行,因此研究旨在将这些发现转化为更广泛适用的技术,以使这项研究能够应用于常规临床实践。本综述重点介绍了恶性淋巴瘤中生物标志物转化和临床研究的最新进展。

相似文献

1
Prognostic biomarkers in malignant lymphomas.恶性淋巴瘤的预后生物标志物。
Leuk Lymphoma. 2010 Aug;51 Suppl 1:11-9. doi: 10.3109/10428194.2010.500046.
2
Biomarkers and prognosis in malignant lymphomas.恶性淋巴瘤中的生物标志物与预后
Clin Lymphoma Myeloma. 2009 Apr;9(2):160-6. doi: 10.3816/CLM.2009.n.038.
3
Diagnostic and prognostic significance of gene expression profiling in lymphomas.基因表达谱在淋巴瘤中的诊断和预后意义
APMIS. 2007 Oct;115(10):1135-46. doi: 10.1111/j.1600-0463.2007.apm_867.xml.x.
4
The challenge of the microenvironment in B-cell lymphomas.B 细胞淋巴瘤微环境的挑战。
Histopathology. 2011 Jan;58(1):69-80. doi: 10.1111/j.1365-2559.2010.03706.x.
5
T-cell lymphoma: Microenvironment-related biomarkers.T 细胞淋巴瘤:微环境相关生物标志物。
Semin Cancer Biol. 2015 Oct;34:46-51. doi: 10.1016/j.semcancer.2015.06.001. Epub 2015 Jun 7.
6
Gene expression profiling in lymphoma diagnosis and management.淋巴瘤诊断与治疗中的基因表达谱分析。
Best Pract Res Clin Haematol. 2009 Jun;22(2):191-210. doi: 10.1016/j.beha.2009.05.001.
7
Expression of activation-induced cytidine deaminase in malignant lymphomas infiltrating the bone marrow.活化诱导胞苷脱氨酶在浸润骨髓的恶性淋巴瘤中的表达。
Appl Immunohistochem Mol Morphol. 2008 Dec;16(6):521-9. doi: 10.1097/PAI.0b013e3181758ce5.
8
Diffuse large B cell lymphoma: from gene expression profiling to prediction of outcome.弥漫性大B细胞淋巴瘤:从基因表达谱分析到预后预测
Biol Blood Marrow Transplant. 2008 Jan;14(1 Suppl 1):108-11. doi: 10.1016/j.bbmt.2007.10.020.
9
Genomic signatures in B-cell lymphoma: How can these improve precision in diagnosis and inform prognosis?B细胞淋巴瘤中的基因组特征:这些特征如何提高诊断的准确性并为预后提供信息?
Blood Rev. 2016 Mar;30(2):73-88. doi: 10.1016/j.blre.2015.08.002. Epub 2015 Aug 18.
10
Proteomic approaches to the study of malignant lymphoma: analyses on patient samples.蛋白质组学方法在恶性淋巴瘤研究中的应用:对患者样本的分析
Proteomics Clin Appl. 2015 Feb;9(1-2):72-85. doi: 10.1002/prca.201400145. Epub 2015 Jan 22.

引用本文的文献

1
Genetic alterations of 9p24 in lymphomas and their impact for cancer (immuno-)therapy.淋巴瘤 9p24 基因改变及其对癌症(免疫)治疗的影响。
Virchows Arch. 2019 Apr;474(4):497-509. doi: 10.1007/s00428-018-2438-6. Epub 2018 Aug 21.
2
Inherited Inflammatory Response Genes Are Associated with B-Cell Non-Hodgkin's Lymphoma Risk and Survival.遗传性炎症反应基因与B细胞非霍奇金淋巴瘤的风险及生存相关。
PLoS One. 2015 Oct 8;10(10):e0139329. doi: 10.1371/journal.pone.0139329. eCollection 2015.
3
Automated prognostic pattern detection shows favourable diffuse pattern of FOXP3(+) Tregs in follicular lymphoma.
自动预后模式检测显示滤泡性淋巴瘤中FOXP3(+)调节性T细胞呈良好的弥漫性模式。
Br J Cancer. 2015 Oct 20;113(8):1197-205. doi: 10.1038/bjc.2015.291. Epub 2015 Oct 6.
4
Comprehensive miRNA sequence analysis reveals survival differences in diffuse large B-cell lymphoma patients.全面的miRNA序列分析揭示了弥漫性大B细胞淋巴瘤患者的生存差异。
Genome Biol. 2015 Jan 29;16(1):18. doi: 10.1186/s13059-014-0568-y.
5
Analysis of FOXO1 mutations in diffuse large B-cell lymphoma.分析弥漫性大 B 细胞淋巴瘤中的 FOXO1 突变。
Blood. 2013 May 2;121(18):3666-74. doi: 10.1182/blood-2013-01-479865. Epub 2013 Mar 4.
6
New strategies in Hodgkin lymphoma: better risk profiling and novel treatments.霍奇金淋巴瘤的新策略:更好的风险分层和新的治疗方法。
Clin Cancer Res. 2013 Jun 1;19(11):2797-803. doi: 10.1158/1078-0432.CCR-12-3064. Epub 2013 Feb 27.
7
Lymphotoxin network pathways shape the tumor microenvironment.淋巴毒素网络通路塑造肿瘤微环境。
Curr Opin Immunol. 2013 Apr;25(2):222-9. doi: 10.1016/j.coi.2013.01.001. Epub 2013 Jan 20.
8
Nuclear Factor kappa B is central to Marek's disease herpesvirus induced neoplastic transformation of CD30 expressing lymphocytes in-vivo.核因子κB在马立克氏病疱疹病毒诱导表达CD30的淋巴细胞在体内发生肿瘤转化过程中起核心作用。
BMC Syst Biol. 2012 Sep 14;6:123. doi: 10.1186/1752-0509-6-123.
9
Design and validity of a clinic-based case-control study on the molecular epidemiology of lymphoma.一项基于诊所的淋巴瘤分子流行病学病例对照研究的设计与效度
Int J Mol Epidemiol Genet. 2011;2(2):95-113. Epub 2011 Apr 5.