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预测宫颈癌患者接受放化疗后肿瘤免疫微环境的治疗反应。

Prediction of treatment response from the microenvironment of tumor immunity in cervical cancer patients treated with chemoradiotherapy.

机构信息

Department of Radiology, Sapporo Medical University School of Medicine, S1 W16, Chuo-ku, Sapporo, Hokkaido, 060-8543, Japan.

Department of Pathology, Sapporo Medical University School of Medicine, Sapporo, Japan.

出版信息

Med Mol Morphol. 2021 Sep;54(3):245-252. doi: 10.1007/s00795-021-00290-w. Epub 2021 May 8.

DOI:10.1007/s00795-021-00290-w
PMID:33963949
Abstract

To supplement clinical decision-making in the management of cervical cancer, various prognostic factors, including tumor immune microenvironments, were examined in patients with cervical cancer treated with definitive chemoradiotherapy. We retrospectively analyzed the expression of CD8, FoxP3, HLA-1, PD-L1, and XRCC4 in 100 cases of cervical cancer. The observed tumor immune microenvironments were also classified into three types: inflamed, excluded, and cold type. Less FoxP3+ T cells and cold-type tumor were found to be poor prognostic factors in addition to non-SCC, large pre-treatment tumor volume, and three or less cycles of concurrent chemotherapy based on multivariate analysis. Cold-type tumors had significantly worse prognoses than the other two types, whereas inflamed- and excluded-type tumors showed similar 5-year disease-specific survival (P < 0.001; 0% vs. 60.3% vs. 72.3%). Radiotherapy could overcome the inhibitory immune microenvironment that occurs in excluded type. Individualized combination therapy adapted to pre-treatment tumor immunity may be necessary to improve radiotherapy outcomes in cervical cancer.

摘要

为了补充宫颈癌管理中临床决策的依据,我们在接受根治性放化疗的宫颈癌患者中检查了各种预后因素,包括肿瘤免疫微环境。我们回顾性分析了 100 例宫颈癌中 CD8、FoxP3、HLA-1、PD-L1 和 XRCC4 的表达。观察到的肿瘤免疫微环境也分为三种类型:炎症型、排除型和冷型。多因素分析发现,除了非 SCC、治疗前肿瘤体积大以及少于 3 个周期的同期化疗外,FoxP3+T 细胞较少和冷型肿瘤也是不良预后因素。冷型肿瘤的预后明显差于其他两种类型,而炎症型和排除型肿瘤的 5 年疾病特异性生存率相似(P<0.001;0% vs. 60.3% vs. 72.3%)。放疗可以克服排除型中发生的抑制性免疫微环境。可能需要针对治疗前肿瘤免疫的个体化联合治疗来改善宫颈癌的放疗效果。

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本文引用的文献

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Jpn J Clin Oncol. 2020 Oct 22;50(11):1290-1297. doi: 10.1093/jjco/hyaa149.
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Retrospective DVH analysis of point A based intracavitary brachytherapy for uterine cervical cancer.基于点 A 的腔内近距离放射治疗宫颈癌的回顾性剂量体积直方图分析。
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Association between radiotherapy-induced alteration of programmed death ligand 1 and survival in patients with uterine cervical cancer undergoing preoperative radiotherapy.
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Dynamics in the expression of programmed death ligand 1 and cluster of differentiation 163 in the tumor microenvironment of uterine cervical cancer: a single-center retrospective study.子宫颈癌肿瘤微环境中程序性死亡配体 1 和分化簇 163 表达的动态变化:一项单中心回顾性研究。
Radiat Oncol. 2023 Feb 23;18(1):40. doi: 10.1186/s13014-023-02230-7.
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Efficacy and optimal combination timing of chemotherapy combined with PD-1 inhibitor in advanced cervical cancer: a multicenter retrospective cohort study.化疗联合PD-1抑制剂治疗晚期宫颈癌的疗效及最佳联合时机:一项多中心回顾性队列研究
Ann Transl Med. 2022 Oct;10(20):1107. doi: 10.21037/atm-22-4298.
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Predictive value of an exosomal microRNA-based signature for tumor immunity in cervical cancer patients treated with chemoradiotherapy.基于外泌体微小RNA特征对接受放化疗的宫颈癌患者肿瘤免疫的预测价值
Med Mol Morphol. 2023 Mar;56(1):38-45. doi: 10.1007/s00795-022-00338-5. Epub 2022 Nov 11.
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