Evidence map›Paper›PMID 37828613›Full record

ReviewCell & bioscience2023

The impact of the gut microbiome on tumor immunotherapy: from mechanism to application strategies.

Ciliang Guo, Lingkai Kong, Lingjun Xiao, Kua Liu, Huawei Cui, Qilei Xin, Xiaosong Gu, Chunping Jiang, Junhua Wu

Abstract readReview
In one paragraph

Review in Cell & bioscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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  19. Living, Heat-KilledNutrients · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ciliang GuoState Key Laboratory of Pharmaceutical Biotechnology, Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, National Institute of Healthcare Data Science at Nanjing University, Nanjing University, 22 Hankou Road, Nanjing, 210093, Jiangsu, China.
Lingkai KongState Key Laboratory of Pharmaceutical Biotechnology, Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, National Institute of Healthcare Data Science at Nanjing University, Nanjing University, 22 Hankou Road, Nanjing, 210093, Jiangsu, China.
Lingjun XiaoState Key Laboratory of Pharmaceutical Biotechnology, Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, National Institute of Healthcare Data Science at Nanjing University, Nanjing University, 22 Hankou Road, Nanjing, 210093, Jiangsu, China.
Kua LiuState Key Laboratory of Pharmaceutical Biotechnology, Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, National Institute of Healthcare Data Science at Nanjing University, Nanjing University, 22 Hankou Road, Nanjing, 210093, Jiangsu, China.
Huawei CuiState Key Laboratory of Pharmaceutical Biotechnology, Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, National Institute of Healthcare Data Science at Nanjing University, Nanjing University, 22 Hankou Road, Nanjing, 210093, Jiangsu, China.
Qilei XinJinan Microecological Biomedicine Shandong Laboratory, Shounuo City Light West Block, Qingdao Road 3716#, Huaiyin District, Jinan, Shandong, China.
Xiaosong GuState Key Laboratory of Pharmaceutical Biotechnology, Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, National Institute of Healthcare Data Science at Nanjing University, Nanjing University, 22 Hankou Road, Nanjing, 210093, Jiangsu, China.
Chunping JiangState Key Laboratory of Pharmaceutical Biotechnology, Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, National Institute of Healthcare Data Science at Nanjing University, Nanjing University, 22 Hankou Road, Nanjing, 210093, Jiangsu, China. chunpingjiang@nju.edu.cn.
Junhua WuState Key Laboratory of Pharmaceutical Biotechnology, Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, National Institute of Healthcare Data Science at Nanjing University, Nanjing University, 22 Hankou Road, Nanjing, 210093, Jiangsu, China. wujunhua@nju.edu.cn.ORCID http://orcid.org/0000-0003-4753-2648

Funding

National Natural Science Foundation of China 81972888National Natural Science Foundation of China 82272819Shandong Provincial Laboratory Project SYS202202the Open Project of Chinese Materia Medica First-Class Discipline of Nanjing University of Chinese Medicine 2020YLXK007the Primary Research & Development Plan of Jiangsu Province BE2022840the Research Project of Jinan Microecological Biomedicine Shandong Laboratory JNL202204Athe Research Project of Jinan Microecological Biomedicine Shandong Laboratory JNL202219Bthe Research Project of Jinan Microecological Biomedicine Shandong Laboratory JNL-2023017D
6 · The paper itself

Abstract

Immunotherapy is one of the fastest developing areas in the field of oncology. Many immunological treatment strategies for refractory tumors have been approved and marketed. Nevertheless, much clinical and preclinical experimental evidence has shown that the efficacy of immunotherapy in tumor treatment varies markedly among individuals. The commensal microbiome mainly colonizes the intestinal lumen in humans, is affected by a variety of factors and exhibits individual variation. Moreover, the gut is considered the largest immune organ of the body due to its influence on the immune system. In the last few decades, with the development of next-generation sequencing (NGS) techniques and in-depth research, the view that the gut microbiota intervenes in antitumor immunotherapy through the immune system has been gradually confirmed. Here, we review important studies published in recent years focusing on the influences of microbiota on immune system and the progression of malignancy. Furthermore, we discuss the mechanism by which microbiota affect tumor immunotherapy, including immune checkpoint blockade (ICB) and adoptive T-cell therapy (ACT), and strategies for modulating the microbial composition to facilitate the antitumor immune response. Finally, opportunity and some challenges are mentioned to enable a more systematic understanding of tumor treatment in the future and promote basic research and clinical application in related fields.

Indexed as

Adoptive T-cell therapyFecal microbiota transplantationImmune checkpoint blockadeImmunityMicrobiomePrebioticsProbioticsTumor immunotherapy

Identifiers

PMID37828613
PMCPMC10571290

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.