• 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

血液系统恶性肿瘤中的治疗耐药机制。

Therapy resistance mechanisms in hematological malignancies.

作者信息

Hofmann Wolf-Karsten, Trumpp Andreas, Müller-Tidow Carsten

机构信息

Department of Hematology and Oncology, University Hospital Mannheim, Heidelberg University, Heidelberg, Germany.

Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH) and Division of Stem Cells and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.

出版信息

Int J Cancer. 2023 Feb 1;152(3):340-347. doi: 10.1002/ijc.34243. Epub 2022 Aug 23.

DOI:10.1002/ijc.34243
PMID:35962946
Abstract

Hematologic malignancies are model diseases for understanding neoplastic transformation and serve as prototypes for developing effective therapies. Indeed, the concept of systemic cancer therapy originated in hematologic malignancies and has guided the development of chemotherapy, cellular therapies, immunotherapy and modern precision oncology. Despite significant advances in the treatment of leukemias, lymphomas and multiple myelomas, treatment resistance associated with molecular and clinical relapse remains very common. Therapy of relapsed and refractory disease remains extremely difficult, and failure of disease control at this stage remains the leading cause of mortality in patients with hematologic malignancies. In recent years, many efforts have been made to identify the genetic and epigenetic mechanisms that drive the development of hematologic malignancies to the stage of full-blown disease requiring clinical intervention. In contrast, the mechanisms responsible for treatment resistance in hematologic malignancies remain poorly understood. For example, the molecular characteristics of therapy-resistant persisting cells in minimal residual disease (MRD) remain rather elusive. In this mini-review we want to discuss that cellular heterogeneity and plasticity, together with adaptive genetic and epigenetic processes, lead to reduced sensitivity to various treatment regimens such as chemotherapy and pathway inhibitors such as tyrosine kinase inhibitors. However, resistance mechanisms may be conserved across biologically distinct cancer entities. Recent technological advances have made it possible to explore the underlying mechanisms of therapy resistance with unprecedented resolution and depth. These include novel multi-omics technologies with single cell resolution combined with advanced biocomputational approaches, along with artificial intelligence (AI) and sophisticated disease models for functional validation.

摘要

血液系统恶性肿瘤是理解肿瘤转化的典型疾病,也是开发有效治疗方法的原型。事实上,全身癌症治疗的概念起源于血液系统恶性肿瘤,并指导了化疗、细胞治疗、免疫治疗和现代精准肿瘤学的发展。尽管白血病、淋巴瘤和多发性骨髓瘤的治疗取得了重大进展,但与分子和临床复发相关的治疗耐药性仍然非常普遍。复发和难治性疾病的治疗仍然极其困难,在此阶段疾病控制失败仍然是血液系统恶性肿瘤患者死亡的主要原因。近年来,人们做出了许多努力来确定驱动血液系统恶性肿瘤发展到需要临床干预的全面疾病阶段的遗传和表观遗传机制。相比之下,血液系统恶性肿瘤中治疗耐药的机制仍知之甚少。例如,微小残留病(MRD)中治疗耐药的持续细胞的分子特征仍然相当难以捉摸。在这篇小型综述中,我们想讨论细胞异质性和可塑性,以及适应性遗传和表观遗传过程,如何导致对化疗和酪氨酸激酶抑制剂等通路抑制剂等各种治疗方案的敏感性降低。然而,耐药机制可能在生物学上不同的癌症实体中是保守的。最近的技术进步使得以前所未有的分辨率和深度探索治疗耐药的潜在机制成为可能。这些技术包括具有单细胞分辨率的新型多组学技术,结合先进的生物计算方法,以及用于功能验证的人工智能(AI)和复杂疾病模型。

相似文献

1
Therapy resistance mechanisms in hematological malignancies.血液系统恶性肿瘤中的治疗耐药机制。
Int J Cancer. 2023 Feb 1;152(3):340-347. doi: 10.1002/ijc.34243. Epub 2022 Aug 23.
2
Novel precision medicine approaches and treatment strategies in hematological malignancies.血液系统恶性肿瘤的新型精准医学方法和治疗策略。
J Intern Med. 2023 Oct;294(4):413-436. doi: 10.1111/joim.13697. Epub 2023 Aug 7.
3
Immunotherapy in hematologic malignancies.血液系统恶性肿瘤的免疫治疗。
Curr Oncol. 2020 Apr;27(Suppl 2):S124-S131. doi: 10.3747/co.27.5117. Epub 2020 Apr 1.
4
Epigenetic programming contributes to development of drug resistance in hematological malignancies.表观遗传编程有助于血液系统恶性肿瘤耐药的发生。
Front Biosci (Landmark Ed). 2015 Jan 1;20(4):728-42. doi: 10.2741/4333.
5
Cellular immunotherapy for refractory hematological malignancies.细胞免疫疗法治疗难治性血液系统恶性肿瘤。
J Transl Med. 2013 Jun 19;11:150. doi: 10.1186/1479-5876-11-150.
6
Novel epigenetic therapies in hematological malignancies: Current status and beyond.血液系统恶性肿瘤中的新型表观遗传学治疗:现状及未来。
Semin Cancer Biol. 2018 Aug;51:198-210. doi: 10.1016/j.semcancer.2017.07.005. Epub 2017 Aug 4.
7
Targeting immune checkpoints in hematological malignancies.靶向血液系统恶性肿瘤的免疫检查点。
J Hematol Oncol. 2020 Aug 12;13(1):111. doi: 10.1186/s13045-020-00947-6.
8
Drug resistance-related microRNAs in hematological malignancies: translating basic evidence into therapeutic strategies.血液系统恶性肿瘤中与耐药相关的微小RNA:将基础证据转化为治疗策略
Blood Rev. 2015 Jan;29(1):33-44. doi: 10.1016/j.blre.2014.09.005. Epub 2014 Sep 16.
9
Cellular Immunotherapy for Hematologic Malignancies: Beyond Bone Marrow Transplantation.血液系统恶性肿瘤的细胞免疫治疗:超越骨髓移植。
Biol Blood Marrow Transplant. 2018 Mar;24(3):433-442. doi: 10.1016/j.bbmt.2017.10.035. Epub 2017 Nov 26.
10
Using functional genomics to overcome therapeutic resistance in hematological malignancies.利用功能基因组学克服血液系统恶性肿瘤的治疗抵抗。
Immunol Res. 2013 Mar;55(1-3):100-15. doi: 10.1007/s12026-012-8353-z.

引用本文的文献

1
Parthenolide: pioneering new frontiers in hematological malignancies.小白菊内酯:血液系统恶性肿瘤领域的开拓新前沿。
Front Pharmacol. 2025 Apr 15;16:1534686. doi: 10.3389/fphar.2025.1534686. eCollection 2025.
2
In Vitro 3D Models of Haematological Malignancies: Current Trends and the Road Ahead?血液系统恶性肿瘤的体外3D模型:当前趋势与未来之路?
Cells. 2025 Jan 2;14(1):38. doi: 10.3390/cells14010038.
3
EpiCHAOS: a metric to quantify epigenomic heterogeneity in single-cell data.EpiCHAOS:一种量化单细胞数据中表观基因组异质性的指标。
Genome Biol. 2024 Dec 3;25(1):305. doi: 10.1186/s13059-024-03446-w.
4
A Phase 1 First-in-Human Study of the MCL-1 Inhibitor AZD5991 in Patients with Relapsed/Refractory Hematologic Malignancies.MCL-1 抑制剂 AZD5991 在复发/难治性血液系统恶性肿瘤患者中的 1 期首次人体研究。
Clin Cancer Res. 2024 Nov 1;30(21):4844-4855. doi: 10.1158/1078-0432.CCR-24-0028.
5
Immunotherapy-relevance of a candidate prognostic score for Acute Myeloid Leukemia.急性髓系白血病候选预后评分与免疫治疗的相关性
Heliyon. 2024 May 29;10(11):e32154. doi: 10.1016/j.heliyon.2024.e32154. eCollection 2024 Jun 15.
6
The hidden messengers: cancer associated fibroblasts-derived exosomal miRNAs as key regulators of cancer malignancy.隐匿的信使:癌症相关成纤维细胞衍生的外泌体微小RNA作为癌症恶性程度的关键调节因子
Front Cell Dev Biol. 2024 Apr 17;12:1378302. doi: 10.3389/fcell.2024.1378302. eCollection 2024.
7
The anticancer therapeutic potential of pyrimidine-sulfonamide hybrids.嘧啶-磺酰胺杂合体的抗癌治疗潜力。
Future Med Chem. 2024;16(9):905-924. doi: 10.4155/fmc-2024-0010. Epub 2024 Apr 16.
8
Improvement of the Antioxidant and Antitumor Activities of Benzimidazole-Chitosan Quaternary Ammonium Salt on Drug Delivery Nanogels.苯并咪唑壳聚糖季铵盐载药纳米凝胶的抗氧化和抗肿瘤活性的改善。
Mar Drugs. 2024 Jan 11;22(1):40. doi: 10.3390/md22010040.
9
In Silico and In Vitro Identification of P-Glycoprotein Inhibitors from a Library of 375 Phytochemicals.从 375 种植物化学物质库中进行计算和体外鉴定 P-糖蛋白抑制剂。
Int J Mol Sci. 2023 Jun 16;24(12):10240. doi: 10.3390/ijms241210240.
10
Repurposing Verapamil to Enhance Killing of T-ALL Cells by the mTOR Inhibitor Everolimus.重新利用维拉帕米以增强mTOR抑制剂依维莫司对T-ALL细胞的杀伤作用。
Antioxidants (Basel). 2023 Mar 3;12(3):625. doi: 10.3390/antiox12030625.