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肿瘤微生物群作为接受免疫检查点抑制剂治疗的转移性黑色素瘤患者预后的预测指标。

The tumor microbiome as a predictor of outcomes in patients with metastatic melanoma treated with immune checkpoint inhibitors.

作者信息

Wheeler Caroline E, Coleman Samuel S, Hoyd Rebecca, Denko Louis, Chan Carlos H F, Churchman Michelle L, Denko Nicholas, Dodd Rebecca D, Eljilany Islam, Hardikar Sheetal, Husain Marium, Ikeguchi Alexandra P, Jin Ning, Ma Qin, McCarter Martin D, Osman Afaf E G, Robinson Lary A, Singer Eric A, Tinoco Gabriel, Ulrich Cornelia M, Zakharia Yousef, Spakowicz Daniel, Tarhini Ahmad A, Tan Aik Choon

机构信息

Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.

Departments of Oncological Science and Biomedical Informatics, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.

出版信息

bioRxiv. 2023 May 25:2023.05.24.542123. doi: 10.1101/2023.05.24.542123.

Abstract

Emerging evidence supports the important role of the tumor microbiome in oncogenesis, cancer immune phenotype, cancer progression, and treatment outcomes in many malignancies. In this study, we investigated the metastatic melanoma tumor microbiome and potential roles in association with clinical outcomes, such as survival, in patients with metastatic disease treated with immune checkpoint inhibitors (ICIs). Baseline tumor samples were collected from 71 patients with metastatic melanoma before treatment with ICIs. Bulk RNA-seq was conducted on the formalin-fixed paraffin-embedded (FFPE) tumor samples. Durable clinical benefit (primary clinical endpoint) following ICIs was defined as overall survival ≥24 months and no change to the primary drug regimen (responders). We processed RNA-seq reads to carefully identify exogenous sequences using the {exotic} tool. The 71 patients with metastatic melanoma ranged in age from 24 to 83 years, 59% were male, and 55% survived >24 months following the initiation of ICI treatment. Exogenous taxa were identified in the tumor RNA-seq, including bacteria, fungi, and viruses. We found differences in gene expression and microbe abundances in immunotherapy responsive versus non-responsive tumors. Responders showed significant enrichment of several microbes including and non-responders showed enrichment of fungi, as well as several bacteria. These microbes correlated with immune-related gene expression signatures. Finally, we found that models for predicting prolonged survival with immunotherapy using both microbe abundances and gene expression outperformed models using either dataset alone. Our findings warrant further investigation and potentially support therapeutic strategies to modify the tumor microbiome in order to improve treatment outcomes with ICIs.

摘要

新出现的证据支持肿瘤微生物群在许多恶性肿瘤的肿瘤发生、癌症免疫表型、癌症进展和治疗结果中发挥重要作用。在本研究中,我们调查了转移性黑色素瘤肿瘤微生物群及其与接受免疫检查点抑制剂(ICI)治疗的转移性疾病患者临床结局(如生存)相关的潜在作用。在71例转移性黑色素瘤患者接受ICI治疗前收集基线肿瘤样本。对福尔马林固定石蜡包埋(FFPE)肿瘤样本进行批量RNA测序。ICI治疗后的持久临床获益(主要临床终点)定义为总生存期≥24个月且主要药物方案无变化(反应者)。我们使用{exotic}工具处理RNA测序读数以仔细识别外源序列。71例转移性黑色素瘤患者年龄在24至83岁之间,59%为男性,55%在开始ICI治疗后存活>24个月。在肿瘤RNA测序中鉴定出了外源分类群,包括细菌、真菌和病毒。我们发现免疫治疗反应性肿瘤与无反应性肿瘤在基因表达和微生物丰度方面存在差异。反应者显示几种微生物显著富集,包括 ,无反应者显示真菌以及几种细菌富集。这些微生物与免疫相关基因表达特征相关。最后,我们发现使用微生物丰度和基因表达预测免疫治疗延长生存期的模型比单独使用任何一个数据集的模型表现更好。我们的研究结果值得进一步研究,并可能支持修改肿瘤微生物群以改善ICI治疗结果的治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1ad/10245822/7496d84c038b/nihpp-2023.05.24.542123v1-f0001.jpg

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