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放疗与 NK 细胞免疫治疗联合的进化双重束缚治疗用于前列腺癌

英文原题:Evolutionary Double-Bind Treatment Using Radiation Therapy and Natural Killer Cell-Based Immunotherapy in Prostate Cancer.

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Evolutionary Double-Bind Treatment Using Radiation Therapy and Natural Killer Cell-Based Immunotherapy in Prostate Cancer.

PubMed 2025/09/23(内容时间) Int J Radiat Oncol Biol Phys Q1 · IF 7.4(JCR 2025)

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研究概要

我们得出结论,RT 与基于 NK 细胞的免疫治疗会产生进化上的双重束缚。

中文摘要

进化指导疗法利用药物耐药所带来的进化后果抑制治疗耐药、延长疾病进展时间。一种称为“进化双重束缚”的策略,先用初始治疗诱导癌细胞产生特定适应性应答,再通过后续治疗有选择地靶向该应答。尽管这一概念在癌症领域已被提出多年,尚未得到量化。本研究据我们所知首次展示可量化的双重束缚实例:放疗(RT)联合自然杀伤(NK)细胞。RT诱导致死性DNA双链断裂,但癌细胞会适应。适应虽增强了对DNA损伤药物的耐药,却也提高NK细胞配体表达,为双重束缚策略提供了明确靶点。方法与材料:通过体外研究和基于进化的数学模型,考察这一潜在策略。在多种前列腺癌细胞系中,评估RT后细胞表面及可溶性NK配体表达。使用同基因辐射耐受细胞系模型开展体外竞争实验。研究者建立由放射敏感和放射耐受细胞群组成的双群体Lotka–Volterra竞争模型,纳入内在生长率、固定环境容纳量及种间竞争项。

NK细胞配体变化使细胞对NK介导杀伤的敏感性提高一倍,并可选择性靶向RT耐受细胞。研究通过数学建模量化这一双重束缚。单独RT可减缓总体生长,但强烈选择出RT耐受细胞;单独NK细胞疗法可抑制耐受群体,但仍有放射敏感细胞存活。模型模拟预测,先RT、后NK细胞治疗可实现最佳肿瘤控制,后续实验验证了该预测。

RT与NK细胞免疫疗法共同构成一种进化双重束缚。这种多维策略可应对治疗耐药的直接挑战,并为依据个体肿瘤演变动态制定个体化方案奠定基础。

临床经验表明,前列腺癌能够对当前所有可用治疗产生耐药,最终导致疾病进展和患者死亡。耐药机制往往伴随适应度代价,使耐药细胞在与周围细胞竞争时陷入两难。选择恰当的后续药物可针对适应性耐药机制形成双重束缚。本文首次提供前列腺癌中“进化双重束缚”的直接定量实验依据,支持在进化指导治疗方案中联合DNA损伤药物和NK细胞免疫疗法。本研究的数学方法具有创新性,扩展了进化博弈论模型,并建立了可量化真实进化双重束缚的实验-数学框架,适用于不同癌症类型和治疗方式。

展开英文摘要原文

Evolution-informed therapies exploit evolutionary consequences of drug resistance to inhibit treatment resistance and prolong time to progression. One strategy, termed an evolutionary double-bind, uses an initial therapy to elicit a specific adaptive response by cancer cells, which is then selectively targeted by a follow-on therapy. Although the concept of an evolutionary double-bind has long been hypothesized in cancer, it has not been measured. Here, to our knowledge, we present the first example of a quantifiable double-bind: radiation therapy (RT) with natural killer (NK) cells. RT induces lethal double-strand DNA breaks, but cancer cells adapt. Although this increases resistance to DNA-damaging agents, it also enhances expression of NK cell ligands creating an obvious choice for a double-bind strategy. METHODS AND MATERIALS: We investigated this potential evolutionary double-bind through in vitro studies and evolution-based mathematical models. Using multiple prostate cancer cell lines, we evaluated surface and soluble NK ligand expression following RT. In vitro competition experiments were performed with an isogenic radiation-resistant cell line model. We introduced a two-population Lotka-Volterra competition model, consisting of radiation-sensitive and radiation-resistant populations modeling intrinsic growth rates with fixed carrying capacity and inter-specific competition terms.

Alterations in NK cell ligands resulted in a twofold increase in sensitivity to NK cell-mediated killing with selective targeting of RT-resistant cells. These dynamics were framed mathematically to quantify the double bind. RT alone slowed overall growth but strongly selected for RT-resistant cells. NK cell therapy alone suppressed the RT-resistant population, but with a surviving population of radiation-sensitive cells. Model simulation predicted that optimal tumor control would be achieved through initial RT followed by NK cells. Subsequent experiments confirmed the model prediction.

We conclude that RT and NK cell-based immunotherapy produce an evolutionary double-bind. This multidimensional approach addresses the immediate challenge of treatment resistance and lays the groundwork for the development of personalized treatment regimens tailored to the evolving dynamics of individual tumors. SIGNIFICANCE: Clinical experience demonstrates that prostate cancer has a remarkable capacity to evolve resistance to all currently available treatments resulting in progression and, ultimately, patient death. Resistance mechanisms often come at a fitness cost placing cells in a bind when competing with surrounding cells. A carefully chosen secondary drug can introduce a double-bind targeting the adaptive resistance mechanism. This manuscript provides the first direct experimental evidence quantifying an "evolutionary double-bind' in prostate cancer supporting the combination of DNA-damaging agents and NK cell-based immunotherapy in evolutionarily guided treatment designs. Our work is mathematically novel in that it extends Evolutionary Game Theory models and establishes an experimental-mathematical framework to quantify genuine evolutionary double binds applicable across cancer types and treatment modalities.

论文信息

作者
Luddy KA、West J、Robertson-Tessi M、Desai B、Ojeda A、Newman H、Estrella V、Bursell TM
第一作者单位
Department of Cancer Biology and Evolution, Moffitt Cancer Center, Tampa, Florida. Electronic address: Kimberly.Luddy@Moffitt.org.United States
通讯作者单位
Integrated Mathematical Oncology Department, Moffitt Cancer Center, Tampa, Florida. Electronic address: Alexander.Anderson@Moffitt.org.United States
文献类型
美国 NIH 资助研究
期刊
International journal of radiation oncology, biology, physics2026 Mar 1
原文标识
PubMed 40998270 · DOI 10.1016/j.ijrobp.2025.09.034