Microbiome: A New Perspective on Immunotherapy for Metastatic Tumors

IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
MedComm Pub Date : 2025-05-01 DOI:10.1002/mco2.70185
Hongquan Liu, Tianqi Wang, Jitao Wu
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Based on unique microbial signatures, clinicians can customize immunotherapy to individual patients, enhancing outcomes, minimizing adverse effects, and improving quality of life and survival rates for metastatic tumor patients. However, numerous scientific questions remain to be addressed. For instance, the characteristics of the microbiome in metastatic tumors are still undetermined. Do the microbiomes of primary and metastatic tumors exhibit differences? Is the colonization of microbial species determined by tumor type or organ type? Additionally, the evolution of microbial populations during therapeutic interventions is also uncertain.</p><p>In Battaglia's work, researchers conducted a thorough analysis of 4160 metastatic tumor biopsy samples from 26 different tissues, using Kraken2, PathSeq, and an assembly-based approach along with corresponding genomics and transcriptomics data to precisely identify and quantify microbial communities within the metastatic tumors. This study revealed that bacterial DNA could be detected in metastatic tumors, and its diversity displayed a close correlation with tumor immune characteristics at the cellular and molecular levels. Among the findings, metastatic colorectal tumors exhibited the greatest species diversity, while head and neck metastatic tumors harbored a greater abundance of dominant bacteria.</p><p>Notably, what factors shape the microbiome composition of metastatic tumors? Firstly, the authors discovered that the anatomical location of biopsy lesions has a dominant impact on the composition of microbial communities. Secondly, their theory proposes that hypoxic tumors may provide a favorable environment for a higher abundance of anaerobic bacteria. To validate this hypothesis, the researchers utilized a set of paired RNA-seq data from metastatic tumors and an external human papillomavirus-negative head and neck tumor cohort. 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Analysis of lung cancer patients with a low response to ICB revealed higher abundances of Fusobacterium in their tumors, which strongly correlates with diminished efficacy of ICB in metastatic non-small cell lung cancer. These findings in the tumor microbiome underscore the intricate interplay between microbial communities and cancer immunotherapy. The gut microbiome exhibits the greatest diversity of microbial species. Previous research has reported that the gut microbiome can regulate responses to ICB and traditional chemotherapy and is associated with molecular mimicry of tumor neoantigens. Decreases in diversity observed in conditions such as antibiotic use, dietary changes, or disease states disrupt the delicate balance of the gut microbiome, leading to immune dysfunction and altered treatment responses [<span>3</span>].</p><p>While this study provides a detailed and extensive pan-cancer resource on the microbiome of metastatic cancers, previous research has shown significant differences in the microbiome between healthy controls and primary tumors [<span>4</span>]. Since this study only comprised metastatic lesions, it does not permit a direct evaluation of differences from healthy communities. Additionally, it insufficiently considers the impact of confounding factors (such as patient heterogeneity and environmental influences) on the conclusions. Despite the numerous advancements in tumor microbiota research through omics methodologies, this field is still in its infancy. Many research techniques are still maturing. 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引用次数: 0

Abstract

A recent study in Cell by researchers from the Netherlands Cancer Institute used multi-omics methods to explore the microbiome of metastatic tumors [1]. Analyzing over 4000 biopsy samples, they found correlations between microbial composition and tumor immunity and responses to immunotherapy. This comprehensive resource highlights the connection between tumor immunity and microbial dynamics, contributing to the development of immunotherapy strategies.

With the advancement of sequencing technology, there is a growing recognition of the vast array of symbiotic microorganisms that reside within various organisms. These symbiotic microbes exhibit intricate dynamic interactions with the host's immune system and are involved in various physiological processes. Recent research on symbiotic microbes has shifted our focus to the species and functions of tumor-associated microbes [2]. The intratumoral microbiome has been demonstrated to not only directly act on tumor cells, promoting or inhibiting their growth, but also indirectly regulate the immune escape mechanisms of tumors by influencing immune cells within the tumor microenvironment. Studies have revealed that gut microbiota can modulate the response to immune checkpoint blockade (ICB) therapy and traditional chemotherapy, as well as reshape the tumor microenvironment through microbes residing in primary tumors [3]. By offering a detailed fingerprint of an individual's immune status and responsiveness, the microbiome presents a transformative opportunity for personalized medicine. Based on unique microbial signatures, clinicians can customize immunotherapy to individual patients, enhancing outcomes, minimizing adverse effects, and improving quality of life and survival rates for metastatic tumor patients. However, numerous scientific questions remain to be addressed. For instance, the characteristics of the microbiome in metastatic tumors are still undetermined. Do the microbiomes of primary and metastatic tumors exhibit differences? Is the colonization of microbial species determined by tumor type or organ type? Additionally, the evolution of microbial populations during therapeutic interventions is also uncertain.

In Battaglia's work, researchers conducted a thorough analysis of 4160 metastatic tumor biopsy samples from 26 different tissues, using Kraken2, PathSeq, and an assembly-based approach along with corresponding genomics and transcriptomics data to precisely identify and quantify microbial communities within the metastatic tumors. This study revealed that bacterial DNA could be detected in metastatic tumors, and its diversity displayed a close correlation with tumor immune characteristics at the cellular and molecular levels. Among the findings, metastatic colorectal tumors exhibited the greatest species diversity, while head and neck metastatic tumors harbored a greater abundance of dominant bacteria.

Notably, what factors shape the microbiome composition of metastatic tumors? Firstly, the authors discovered that the anatomical location of biopsy lesions has a dominant impact on the composition of microbial communities. Secondly, their theory proposes that hypoxic tumors may provide a favorable environment for a higher abundance of anaerobic bacteria. To validate this hypothesis, the researchers utilized a set of paired RNA-seq data from metastatic tumors and an external human papillomavirus-negative head and neck tumor cohort. Lastly, they found that genomic alterations might drive the microbial community composition with preferences for different cancer phenotypes, with microsatellite instability (MSI) status being associated with distinct microbial clusters.

After clarifying the above issues, the authors delved into the impact of microbial communities on the host tumor microenvironment. The study revealed extensive correlations between bacterial components and tumor gene expression. Simultaneously, the authors noted a positive correlation between microbial diversity and the signaling expression of immune exclusion and cancer-associated fibroblast infiltration. Tumors exhibiting greater microbial diversity were found to harbor an abundant presence of congenital immune cells, including neutrophils, natural killer cells, macrophages, and Tregs. These findings indicate a close relationship between the immune system and the microbiome and their significant role in shaping the tumor microenvironment.

Interestingly, the authors also observed that the composition of microbial communities in metastatic tumors evolves as the tumor progresses. Moreover, immunotherapy affects the microbial composition in tumors, with a notable reduction of bacterial diversity among individuals undergoing ICB treatment. In a subset of patients, those who responded well to immunotherapy exhibited significantly lower bacterial richness compared to nonresponders. The authors argue that immunotherapy exerts a targeted impact on the microbiome of metastatic tumors, reshaping the community structure, which is more significant in responsive individuals. Analysis of lung cancer patients with a low response to ICB revealed higher abundances of Fusobacterium in their tumors, which strongly correlates with diminished efficacy of ICB in metastatic non-small cell lung cancer. These findings in the tumor microbiome underscore the intricate interplay between microbial communities and cancer immunotherapy. The gut microbiome exhibits the greatest diversity of microbial species. Previous research has reported that the gut microbiome can regulate responses to ICB and traditional chemotherapy and is associated with molecular mimicry of tumor neoantigens. Decreases in diversity observed in conditions such as antibiotic use, dietary changes, or disease states disrupt the delicate balance of the gut microbiome, leading to immune dysfunction and altered treatment responses [3].

While this study provides a detailed and extensive pan-cancer resource on the microbiome of metastatic cancers, previous research has shown significant differences in the microbiome between healthy controls and primary tumors [4]. Since this study only comprised metastatic lesions, it does not permit a direct evaluation of differences from healthy communities. Additionally, it insufficiently considers the impact of confounding factors (such as patient heterogeneity and environmental influences) on the conclusions. Despite the numerous advancements in tumor microbiota research through omics methodologies, this field is still in its infancy. Many research techniques are still maturing. Researchers like Galeano Niño have uncovered the spatial, cellular, and molecular interactions between the host and intratumoral microbiota based on a novel single-cell RNA sequencing methodology called INVADEseq (invasion–adhesion-directed expression sequencing) [5]. Consequently, the integration and utilization of multi-omics technologies in microbiota research will further elucidate the interactions of microbiota in tumor development across temporal and spatial scales. Furthermore, this study is a descriptive report of phenomena based on data, and further experiments are still required to thoroughly validate the predicted functions and explore the underlying biological pathways. Establishing a clear pathway from research findings to clinical application is also a crucial challenge that must be addressed in the future.

Overall, by integrating metagenomics, genomics, and transcriptomics, this article analyzed and described sequencing data from 4160 metastatic tumor samples. The study revealed the distribution and diversity characteristics of DNA in species-level resident microbiomes of metastatic tumors on a pan-cancer scale, enriching researchers' insights into the microbial features of metastatic tumors. These data will serve as a valuable resource for future in-depth studies exploring the potential therapeutic targets in metastatic cancer. Simultaneously, this research dissected the evolution of microbial composition during tumor immunotherapy, revealing the impact of Fusobacterium abundance on immunotherapy outcomes in non-small cell lung cancer, emphasizing the correlation between tumor immunology, microbial community dynamics, and immunotherapeutic effect (Figure 1). Battaglia's work provides new theoretical and experimental evidence for novel alternative clinical strategies for metastatic tumors. The integration of tumor microbiomics with various omics and technologies, including autoantibody detection, circulating tumor DNA sequencing, and innovative imaging modalities, holds the promise of unleashing its transformative potential in cancer therapy.

H.L. wrote the manuscript with critical reading and feedback from T.W. J.W. guided the literature research and edited the manuscript. All authors have read and approved the final manuscript.

The authors have nothing to report.

The authors declare no conflicts of interest.

Abstract Image

微生物组:转移性肿瘤免疫治疗的新视角
荷兰癌症研究所的研究人员最近在《细胞》杂志上发表了一项研究,使用多组学方法探索转移性肿瘤[1]的微生物组。他们分析了4000多个活检样本,发现微生物组成与肿瘤免疫和对免疫治疗的反应之间存在相关性。这一综合资源强调了肿瘤免疫和微生物动力学之间的联系,有助于免疫治疗策略的发展。随着测序技术的进步,人们越来越认识到存在于各种生物体内的大量共生微生物。这些共生微生物与宿主免疫系统表现出复杂的动态相互作用,并参与各种生理过程。最近对共生微生物的研究已将我们的重点转移到肿瘤相关微生物的种类和功能上。肿瘤内微生物组不仅可以直接作用于肿瘤细胞,促进或抑制肿瘤细胞的生长,还可以通过影响肿瘤微环境内的免疫细胞间接调节肿瘤的免疫逃逸机制。研究表明,肠道微生物群可以调节对免疫检查点阻断(ICB)治疗和传统化疗的反应,并通过居住在原发肿瘤中的微生物重塑肿瘤微环境。通过提供个人免疫状态和反应的详细指纹,微生物组为个性化医疗提供了一个变革性的机会。基于独特的微生物特征,临床医生可以为个体患者定制免疫治疗,提高预后,减少不良反应,提高转移性肿瘤患者的生活质量和生存率。然而,仍有许多科学问题有待解决。例如,转移性肿瘤中微生物组的特征仍未确定。原发和转移性肿瘤的微生物组有差异吗?微生物物种的定植是由肿瘤类型还是器官类型决定的?此外,在治疗干预期间微生物种群的演变也是不确定的。在Battaglia的工作中,研究人员对来自26种不同组织的4160例转移性肿瘤活检样本进行了全面分析,使用Kraken2、PathSeq和基于组装的方法以及相应的基因组学和转录组学数据,精确地识别和量化转移性肿瘤内的微生物群落。本研究发现,在转移性肿瘤中可以检测到细菌DNA,其多样性在细胞和分子水平上与肿瘤免疫特性密切相关。其中,转移性结直肠肿瘤表现出最大的物种多样性,而头颈部转移肿瘤则拥有更丰富的优势细菌。值得注意的是,是什么因素塑造了转移性肿瘤的微生物组组成?首先,作者发现活检病变的解剖位置对微生物群落的组成有主导影响。其次,他们的理论提出,缺氧肿瘤可能为更高丰度的厌氧细菌提供了有利的环境。为了验证这一假设,研究人员利用了一组来自转移性肿瘤和外部人乳头瘤病毒阴性头颈部肿瘤队列的成对RNA-seq数据。最后,他们发现基因组改变可能会驱动微生物群落组成,使其倾向于不同的癌症表型,微卫星不稳定性(MSI)状态与不同的微生物集群相关。在澄清了上述问题后,作者深入探讨了微生物群落对宿主肿瘤微环境的影响。该研究揭示了细菌成分与肿瘤基因表达之间的广泛相关性。同时,作者注意到微生物多样性与免疫排斥和癌症相关成纤维细胞浸润的信号表达呈正相关。肿瘤显示出更大的微生物多样性,被发现含有丰富的先天性免疫细胞,包括中性粒细胞、自然杀伤细胞、巨噬细胞和treg。这些发现表明免疫系统和微生物组之间的密切关系及其在塑造肿瘤微环境中的重要作用。有趣的是,作者还观察到转移性肿瘤中微生物群落的组成随着肿瘤的进展而变化。此外,免疫治疗影响肿瘤中的微生物组成,在接受ICB治疗的个体中,细菌多样性显著减少。在一部分患者中,那些对免疫治疗反应良好的患者与无反应的患者相比,细菌丰富度显着降低。 作者认为,免疫疗法对转移性肿瘤的微生物群有针对性的影响,重塑了群落结构,这在反应性个体中更为显著。对ICB反应较低的肺癌患者的分析显示,其肿瘤中梭杆菌的丰度较高,这与ICB治疗转移性非小细胞肺癌的疗效降低密切相关。肿瘤微生物组的这些发现强调了微生物群落与癌症免疫治疗之间复杂的相互作用。肠道微生物群表现出最大的微生物种类多样性。先前的研究报道,肠道微生物组可以调节对ICB和传统化疗的反应,并与肿瘤新抗原的分子模拟有关。在抗生素使用、饮食改变或疾病状态等条件下观察到的多样性减少会破坏肠道微生物群的微妙平衡,导致免疫功能障碍和治疗反应改变。虽然本研究为转移性癌症的微生物组提供了详细而广泛的泛癌症资源,但先前的研究表明,健康对照者和原发肿瘤患者之间的微生物组存在显著差异。由于本研究仅包括转移性病变,因此不允许直接评估与健康社区的差异。此外,它没有充分考虑混杂因素(如患者异质性和环境影响)对结论的影响。尽管通过组学方法在肿瘤微生物群研究方面取得了许多进展,但该领域仍处于起步阶段。许多研究技术仍在不断成熟。像Galeano Niño这样的研究人员已经发现了宿主和肿瘤内微生物群之间的空间、细胞和分子相互作用,这是基于一种新的单细胞RNA测序方法,称为INVADEseq(侵袭-粘附定向表达测序)[5]。因此,多组学技术在微生物群研究中的整合和应用将进一步阐明微生物群在肿瘤发展中的时空相互作用。此外,本研究是基于数据的现象描述性报告,还需要进一步的实验来彻底验证预测的功能和探索潜在的生物学途径。建立从研究成果到临床应用的清晰途径也是未来必须解决的关键挑战。总体而言,通过整合宏基因组学、基因组学和转录组学,本文分析并描述了来自4160例转移性肿瘤样本的测序数据。本研究揭示了转移性肿瘤在泛癌尺度上物种水平驻留微生物组的DNA分布和多样性特征,丰富了研究人员对转移性肿瘤微生物特征的认识。这些数据将为未来深入研究转移性癌症的潜在治疗靶点提供宝贵的资源。同时,本研究剖析了肿瘤免疫治疗过程中微生物组成的演变,揭示了梭杆菌丰度对非小细胞肺癌免疫治疗结果的影响,强调了肿瘤免疫学、微生物群落动态和免疫治疗效果之间的相关性(图1)。Battaglia的工作为转移性肿瘤的新的替代临床策略提供了新的理论和实验证据。肿瘤微生物学与各种组学和技术的整合,包括自身抗体检测,循环肿瘤DNA测序和创新的成像模式,有望释放其在癌症治疗中的变革性潜力。在T.W.的批判性阅读和反馈下撰写了手稿,J.W.指导了文献研究并编辑了手稿。所有作者都阅读并批准了最终稿件。作者没有什么可报告的。作者声明无利益冲突。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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