Rewiring tumor metabolism: heterogeneity, oncometabolites, and adaptive plasticity.

IF 17.5 1区 医学 Q1 HEMATOLOGY
Jianqiang Yang, Catherine C Zhou, Soumya Vijaya Kumar, Chloe Shay, Yong Teng
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引用次数: 0

Abstract

Metabolic reprogramming is a well-established hallmark of cancer, driven by oncogenic mutations and microenvironmental pressures to support rapid proliferation and adaptation to stress. This reprogramming is not uniform but instead exhibits profound metabolic heterogeneity, with distinct tumor subpopulations and spatial niches relying on divergent metabolic pathways such as glycolysis, oxidative phosphorylation, and nutrient scavenging. This heterogeneity evolves dynamically during tumor progression and in response to therapy, driven by genetic and epigenetic alterations, hypoxia, nutrient gradients, and therapeutic influences. Critically, it contributes to major clinical challenges by promoting immune evasion through nutrient competition and the accumulation of immunosuppressive metabolites, and by fostering therapy-tolerant cell states. A deeper understanding of the spatiotemporal dynamics of tumor metabolism and their functional consequences reveals novel therapeutic vulnerabilities. This review examines the origins and biological implications of metabolic heterogeneity, discusses strategies to overcome therapeutic resistance by targeting context-specific metabolic dependencies or by combining metabolic inhibitors with immunotherapy, and highlights the potential of patient stratification based on metabolic profiles. Ultimately, elucidating this metabolic complexity is essential for the development of innovative, personalized therapeutic approaches that improve outcomes in cancer treatment.

重组肿瘤代谢:异质性、肿瘤代谢物和适应性可塑性。
代谢重编程是癌症的一个公认的标志,由致癌突变和微环境压力驱动,以支持快速增殖和适应压力。这种重编程不是统一的,而是表现出深刻的代谢异质性,不同的肿瘤亚群和空间生态位依赖于不同的代谢途径,如糖酵解、氧化磷酸化和营养清除。这种异质性在肿瘤进展和对治疗的反应中动态演变,由遗传和表观遗传改变、缺氧、营养梯度和治疗影响驱动。至关重要的是,它通过营养竞争和免疫抑制代谢物的积累促进免疫逃避,并通过促进治疗耐受细胞状态,从而有助于重大临床挑战。对肿瘤代谢的时空动态及其功能后果的深入了解揭示了新的治疗脆弱性。这篇综述探讨了代谢异质性的起源和生物学意义,讨论了通过靶向特定环境的代谢依赖性或通过将代谢抑制剂与免疫治疗相结合来克服治疗耐药性的策略,并强调了基于代谢谱的患者分层的潜力。最终,阐明这种代谢复杂性对于开发创新的、个性化的治疗方法以改善癌症治疗结果至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
12.60
自引率
7.30%
发文量
97
审稿时长
6 weeks
期刊介绍: Experimental Hematology & Oncology is an open access journal that encompasses all aspects of hematology and oncology with an emphasis on preclinical, basic, patient-oriented and translational research. The journal acts as an international platform for sharing laboratory findings in these areas and makes a deliberate effort to publish clinical trials with 'negative' results and basic science studies with provocative findings. Experimental Hematology & Oncology publishes original work, hypothesis, commentaries and timely reviews. With open access and rapid turnaround time from submission to publication, the journal strives to be a hub for disseminating new knowledge and discussing controversial topics for both basic scientists and busy clinicians in the closely related fields of hematology and oncology.
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