IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, Milan, Italy.
Center for Research in Molecular Medicine & Chronic Diseases (CiMUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
Clin Cancer Res. 2021 Jun 15;27(12):3291-3297. doi: 10.1158/1078-0432.CCR-20-1679. Epub 2021 Feb 2.
The stroma of most solid tumors is populated by myeloid cells, which mostly represent macrophages. Tumor-associated macrophages (TAMs), strongly influenced by cancer cell-derived factors, are key drivers of immunosuppression and support tumor growth and spread to distant sites. Their accurate quantification and characterization in the tumor microenvironment are gaining prognostic value: increasing evidence demonstrates their ability to hamper cancer patients' response to chemotherapy, as well as to immunotherapies based on checkpoint inhibition. Therefore, strategies to counteract their negative effects are nowadays gaining momentum at preclinical, translational, and clinical levels. Our knowledge of the biology of TAMs has greatly advanced in the last years; several strategies to target and reprogram their functions to become antitumor effectors have proven successful in experimental preclinical tumor models; on the other hand, few approaches have so far been effectively translated into clinic practice. A growing interest in the therapeutic manipulation of TAMs is evidenced by numerous early-phase clinical trials, which are continuously fueled by new discoveries from basic research. This gives us hope that the targeting and sustained reprogramming of TAMs will be more specific to synergize with current therapies and maximize antitumor responses in patients.
大多数实体瘤的基质中都存在髓系细胞,其中大多数为巨噬细胞。肿瘤相关巨噬细胞(TAMs)受癌细胞衍生因子的强烈影响,是免疫抑制和支持肿瘤生长及远处转移的关键驱动因素。在肿瘤微环境中对其进行准确的定量和特征分析正逐渐具有预后价值:越来越多的证据表明,TAMs 能够阻碍癌症患者对化疗以及基于检查点抑制的免疫治疗的反应。因此,目前在临床前、转化和临床层面上,对抗 TAMs 负面影响的策略正在取得进展。近年来,我们对 TAMs 生物学的认识有了很大的提高;几种靶向并重新编程其功能以成为抗肿瘤效应物的策略已被证明在实验性临床前肿瘤模型中取得了成功;另一方面,迄今为止,很少有方法能有效地转化为临床实践。越来越多的人对 TAMs 的治疗干预产生了兴趣,这从基础研究的新发现中不断得到证实。这使我们有希望靶向并持续重编程 TAMs,使其与当前疗法更具协同作用,并使患者的抗肿瘤反应最大化。