• 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

肿瘤进展、异质性与晚期癌症患者的治疗:我们取得了多大进展?

Tumor Evolution, Heterogeneity, and Therapy for Our Patients With Advanced Cancer: How Far Have We Come?

作者信息

El-Deiry Wafik S, Taylor Barry, Neal Joel W

机构信息

From the Fox Chase Cancer Center, Philadelphia, PA; Memorial Sloan Kettering Cancer Center, New York, NY; Stanford University, Palo Alto, CA.

出版信息

Am Soc Clin Oncol Educ Book. 2017;37:e8-e15. doi: 10.1200/EDBK_175524.

DOI:10.1200/EDBK_175524
PMID:28746017
Abstract

The clinical and molecular heterogeneity of various cancer types is well documented. In the era of precision oncology whereby molecular profiling of tumors is incorporated into clinical care, both intra- and intertumoral molecular and genetic heterogeneity have been described. Together, they impact patient treatment and outcomes. Host genetics and the tumor microenvironment impact on tumor evolution and heterogeneity through variations in immune cell infiltration, stromal variations, and selection pressures from hypoxia or nutrient stress, among others. Tumor progression and exposure to therapeutic agents lead to further molecular evolution and heterogeneity that is clinically relevant. Moreover, tumors that evolve after diagnosis and as a function of therapy generally become more aggressive and refractory to available therapeutics, including targeted agents and immunotherapy. The evolving clinical and molecular heterogeneity of patient tumors can be explored with various clinical and research-based specimens and testing such as pre- and post-treatment biopsies; serial liquid biopsies; single cell analysis; PDX and organoid models; anatomic, functional, and molecular imaging; and rapid postmortem studies. Other factors that influence tumor heterogeneity include immune checkpoints, cancer stem cells, therapy-acquired resistance mechanisms that may occur through secondary mutations, and adaptive responses. Modern technologic advances for tumor characterization provide opportunities to understand tumor evolution and its impact on clinical outcomes to improve therapeutic regimens. Characterization of novel targets and development of effective therapeutics are needed to target heterogeneity and the evolution of resistance mechanisms.

摘要

各种癌症类型的临床和分子异质性已有充分记录。在精准肿瘤学时代,肿瘤的分子特征已被纳入临床治疗,肿瘤内和肿瘤间的分子及基因异质性均已得到描述。它们共同影响患者的治疗和预后。宿主遗传学和肿瘤微环境通过免疫细胞浸润的变化、基质变化以及缺氧或营养应激等选择压力影响肿瘤的进化和异质性。肿瘤进展和接触治疗药物会导致进一步的分子进化和具有临床相关性的异质性。此外,诊断后以及作为治疗作用而演变的肿瘤通常会变得更具侵袭性,并且对包括靶向药物和免疫疗法在内的现有治疗方法产生耐药性。患者肿瘤不断演变的临床和分子异质性可以通过各种临床和基于研究的标本及检测方法进行探索,例如治疗前和治疗后的活检;系列液体活检;单细胞分析;PDX和类器官模型;解剖、功能和分子成像;以及快速尸检研究。影响肿瘤异质性的其他因素包括免疫检查点、癌症干细胞、可能通过二次突变产生的治疗获得性耐药机制以及适应性反应。用于肿瘤特征描述的现代技术进步为理解肿瘤进化及其对临床结果的影响提供了机会,以改善治疗方案。需要对新靶点进行特征描述并开发有效的治疗方法,以针对异质性和耐药机制的演变。

相似文献

1
Tumor Evolution, Heterogeneity, and Therapy for Our Patients With Advanced Cancer: How Far Have We Come?肿瘤进展、异质性与晚期癌症患者的治疗:我们取得了多大进展?
Am Soc Clin Oncol Educ Book. 2017;37:e8-e15. doi: 10.1200/EDBK_175524.
2
Intra-tumour heterogeneity - going beyond genetics.肿瘤内异质性——超越遗传学
FEBS J. 2016 Jun;283(12):2245-58. doi: 10.1111/febs.13705. Epub 2016 Apr 1.
3
Roles of tumor heterogeneity in the development of drug resistance: A call for precision therapy.肿瘤异质性在耐药性发展中的作用:呼吁精准治疗。
Semin Cancer Biol. 2017 Feb;42:13-19. doi: 10.1016/j.semcancer.2016.11.006. Epub 2016 Nov 10.
4
Understanding the Cause and Consequence of Tumor Heterogeneity.理解肿瘤异质性的原因和后果。
Trends Cancer. 2020 Apr;6(4):267-271. doi: 10.1016/j.trecan.2020.01.010. Epub 2020 Feb 13.
5
A population genetics perspective on the determinants of intra-tumor heterogeneity.从群体遗传学角度看肿瘤内异质性的决定因素。
Biochim Biophys Acta Rev Cancer. 2017 Apr;1867(2):109-126. doi: 10.1016/j.bbcan.2017.03.001. Epub 2017 Mar 6.
6
Engineering Multidimensional Evolutionary Forces to Combat Cancer.工程多维进化力量以对抗癌症。
Cancer Discov. 2019 May;9(5):587-604. doi: 10.1158/2159-8290.CD-18-1196. Epub 2019 Apr 16.
7
Novel insights into the disease dynamics of B-cell lymphomas in the Genomics Era.在基因组学时代深入了解 B 细胞淋巴瘤的疾病动态。
J Pathol. 2018 Apr;244(5):598-609. doi: 10.1002/path.5043. Epub 2018 Mar 6.
8
Whole-Exome Sequencing of Metastatic Cancer and Biomarkers of Treatment Response.转移性癌症的全外显子组测序和治疗反应的生物标志物。
JAMA Oncol. 2015 Jul;1(4):466-74. doi: 10.1001/jamaoncol.2015.1313.
9
Drivers of dynamic intratumor heterogeneity and phenotypic plasticity.肿瘤内动态异质性和表型可塑性的驱动因素。
Am J Physiol Cell Physiol. 2021 May 1;320(5):C750-C760. doi: 10.1152/ajpcell.00575.2020. Epub 2021 Mar 3.
10
Addressing intra-tumoral heterogeneity and therapy resistance.解决肿瘤内异质性和治疗抗性问题。
Oncotarget. 2016 Nov 1;7(44):72322-72342. doi: 10.18632/oncotarget.11875.

引用本文的文献

1
Molecular "Yin-Yang" Machinery of Synthesis of the Second and Third Fullerene C Derivatives.第二代和第三代富勒烯C衍生物合成的分子“阴阳”机制。
Micromachines (Basel). 2025 Jun 30;16(7):770. doi: 10.3390/mi16070770.
2
Worldwide Innovative Network (WIN) Consortium in Personalized Cancer Medicine: Bringing next-generation precision oncology to patients.全球个性化癌症医学创新网络(WIN)联盟:为患者带来下一代精准肿瘤学。
Oncotarget. 2025 Mar 12;16:140-162. doi: 10.18632/oncotarget.28703.
3
Molecular principles underlying aggressive cancers.
侵袭性癌症的分子原理。
Signal Transduct Target Ther. 2025 Feb 17;10(1):42. doi: 10.1038/s41392-025-02129-7.
4
Heterogeneity in Cancer.癌症中的异质性
Cancers (Basel). 2025 Jan 28;17(3):441. doi: 10.3390/cancers17030441.
5
Assessing RNA-Seq Workflow Methodologies Using Shannon Entropy.使用香农熵评估RNA测序工作流程方法
Biology (Basel). 2024 Jun 28;13(7):482. doi: 10.3390/biology13070482.
6
NestedBD: Bayesian inference of phylogenetic trees from single-cell copy number profiles under a birth-death model.NestedBD:在生死模型下从单细胞拷贝数谱进行系统发育树的贝叶斯推断。
Algorithms Mol Biol. 2024 Apr 29;19(1):18. doi: 10.1186/s13015-024-00264-4.
7
Assessing the performance of methods for cell clustering from single-cell DNA sequencing data.评估单细胞 DNA 测序数据中细胞聚类方法的性能。
PLoS Comput Biol. 2023 Oct 12;19(10):e1010480. doi: 10.1371/journal.pcbi.1010480. eCollection 2023 Oct.
8
Prognostic value of circWWC3 as a novel survival‑related biomarker for clear cell renal cell carcinoma.环状WWC3作为透明细胞肾细胞癌一种新的生存相关生物标志物的预后价值
Oncol Lett. 2023 Apr 3;25(5):196. doi: 10.3892/ol.2023.13782. eCollection 2023 May.
9
Melanoma Cell Reprogramming and Awakening of Antitumor Immunity as a Fingerprint of Hyper-Harmonized Hydroxylated Fullerene Water Complex (3HFWC) and Hyperpolarized Light Application .黑色素瘤细胞重编程与抗肿瘤免疫的唤醒作为超协调羟基化富勒烯水络合物(3HFWC)和超极化光应用的特征
Nanomaterials (Basel). 2023 Jan 17;13(3):372. doi: 10.3390/nano13030372.
10
Molecular Targeted Therapy Approach to Musculoskeletal Tumors.肌肉骨骼肿瘤的分子靶向治疗方法
Tech Orthop. 2018 Sep;33(3):135-139. doi: 10.1097/bto.0000000000000298.