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[肠道微生物群作为抗PD-1治疗成功的预测指标:宏基因组数据分析]

[Intestinal microbiome as a predictor of the anti-PD-1 therapy success: metagenomic data analysis].

作者信息

Fedorov D E, Olekhnovich E I, Pavlenko A V, Klimina K M, Pokataev I A, Manolov A I, Konanov D N, Veselovsky V A, Ilina E N

机构信息

Federal Research and Clinical Center of Physical-Chemical Medicine, Moscow, Russia.

Oncology Clinical Hospital No. 1, Moscow, Russia.

出版信息

Biomed Khim. 2020 Nov;66(6):502-507. doi: 10.18097/PBMC20206606502.

Abstract

Anti-PD-1 immunotherapy has a large impact on cancer treatment but the rate of positive treatment outcomes is 40-45% and depends on many factors. One of the factors affecting the outcome of immunotherapy is the gut microbiota composition. This effect has been demonstrated both in model objects and in clinical patients groups. However, in order to identify clear causal relationships between microbiota and anti-PD1 immunotherapy response, it is necessary to expand the number of patients and experimental samples. This work presents an analysis of metagenomic data obtained using whole-genome sequencing of stool samples from melanoma patients (n=45) with different responses to anti-PD1 therapy. The analysis of the differential representation of microbial species has shown a difference in the composition of the microbiota between the experimental groups. Results of this study indicate existence of a strong link between the composition of the gut microbiota and the outcome of anti-PD1 therapy. Expansion of similar research may help develop additional predictive tools for the outcome of anti-PD1 cancer immunotherapy, as well as increase its effectiveness.

摘要

抗程序性死亡蛋白1(PD-1)免疫疗法对癌症治疗有重大影响,但积极治疗结果的发生率为40%-45%,且取决于多种因素。影响免疫疗法结果的因素之一是肠道微生物群组成。这种影响在模型对象和临床患者群体中均已得到证实。然而,为了确定微生物群与抗PD1免疫疗法反应之间明确的因果关系,有必要扩大患者和实验样本的数量。这项工作对黑色素瘤患者(n=45)粪便样本进行全基因组测序获得的宏基因组数据进行了分析,这些患者对抗PD1疗法有不同反应。对微生物物种差异代表性的分析表明,实验组之间微生物群组成存在差异。本研究结果表明肠道微生物群组成与抗PD1疗法结果之间存在紧密联系。开展类似研究可能有助于开发更多用于预测抗PD1癌症免疫疗法结果的工具,并提高其有效性。

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