Multifaceted effects of obesity on cancer immunotherapies: Bridging preclinical models and clinical data

IF 12.1 1区 医学 Q1 ONCOLOGY Seminars in cancer biology Pub Date : 2023-10-01 DOI:10.1016/j.semcancer.2023.07.004
Logan V. Vick , Robert J. Canter , Arta M. Monjazeb , William J. Murphy
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Abstract

Obesity, defined by excessive body fat, is a highly complex condition affecting numerous physiological processes, such as metabolism, proliferation, and cellular homeostasis. These multifaceted effects impact cells and tissues throughout the host, including immune cells as well as cancer biology. Because of the multifaceted nature of obesity, common parameters used to define it (such as body mass index in humans) can be problematic, and more nuanced methods are needed to characterize the pleiotropic metabolic effects of obesity. Obesity is well-accepted as an overall negative prognostic factor for cancer incidence, progression, and outcome. This is in part due to the meta-inflammatory and immunosuppressive effects of obesity. Immunotherapy is increasingly used in cancer therapy, and there are many different types of immunotherapy approaches. The effects of obesity on immunotherapy have only recently been studied with the demonstration of an “obesity paradox”, in which some immune therapies have been demonstrated to result in greater efficacy in obese subjects despite the direct adverse effects of obesity and excess body fat acting on the cancer itself. The multifactorial characteristics that influence the effects of obesity (age, sex, lean muscle mass, underlying metabolic conditions and drugs) further confound interpretation of clinical data and necessitate the use of more relevant preclinical models mirroring these variables in the human scenario. Such models will allow for more nuanced mechanistic assessment of how obesity can impact, both positively and negatively, cancer biology, host metabolism, immune regulation, and how these intersecting processes impact the delivery and outcome of cancer immunotherapy.

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肥胖对癌症免疫治疗的多方面影响:连接临床前模型和临床数据
肥胖是一种高度复杂的疾病,影响许多生理过程,如代谢、增殖和细胞稳态。这些多方面的影响影响整个宿主的细胞和组织,包括免疫细胞以及癌症生物学。由于肥胖的多方面性质,用于定义肥胖的常见参数(如人类的体重指数)可能存在问题,需要更细致的方法来描述肥胖的多效性代谢影响。肥胖被公认为癌症发病率、进展和结果的总体负面预后因素。这在一定程度上是由于肥胖的亚炎症和免疫抑制作用。免疫疗法在癌症治疗中的应用越来越多,有许多不同类型的免疫疗法。肥胖对免疫疗法的影响直到最近才被研究出来,并证明了“肥胖悖论”,其中一些免疫疗法已被证明在肥胖受试者中具有更大的疗效,尽管肥胖和过量的身体脂肪对癌症本身有直接的不良影响。影响肥胖影响的多因素特征(年龄、性别、瘦肌肉质量、潜在代谢状况和药物)进一步混淆了对临床数据的解释,并需要使用更相关的临床前模型来反映人类场景中的这些变量。这些模型将允许对肥胖如何对癌症生物学、宿主代谢、免疫调节产生积极和消极影响,以及这些交叉过程如何影响癌症免疫疗法的实施和结果进行更细致的机制评估。
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来源期刊
Seminars in cancer biology
Seminars in cancer biology 医学-肿瘤学
CiteScore
26.80
自引率
4.10%
发文量
347
审稿时长
15.1 weeks
期刊介绍: Seminars in Cancer Biology (YSCBI) is a specialized review journal that focuses on the field of molecular oncology. Its primary objective is to keep scientists up-to-date with the latest developments in this field. The journal adopts a thematic approach, dedicating each issue to an important topic of interest to cancer biologists. These topics cover a range of research areas, including the underlying genetic and molecular causes of cellular transformation and cancer, as well as the molecular basis of potential therapies. To ensure the highest quality and expertise, every issue is supervised by a guest editor or editors who are internationally recognized experts in the respective field. Each issue features approximately eight to twelve authoritative invited reviews that cover various aspects of the chosen subject area. The ultimate goal of each issue of YSCBI is to offer a cohesive, easily comprehensible, and engaging overview of the selected topic. The journal strives to provide scientists with a coordinated and lively examination of the latest developments in the field of molecular oncology.
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