Evidence map›Paper›PMID 38194971›Full record

ArticleCell reports. Medicine2024

Multi-omics of the gut microbial ecosystem in patients with microsatellite-instability-high gastrointestinal cancer resistant to immunotherapy.

Siyuan Cheng, Zihan Han, Die Dai, Fang Li, Xiaotian Zhang, Ming Lu, Zhihao Lu, Xicheng Wang, Jun Zhou, Jian Li and 12 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports. Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% of its field
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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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  16. Observational
  17. Intestinal dysbiosis and colorectal cancer.Chinese medical journal · 2025
    Review
  18. Review
  19. Article
  20. UBC9: a novel therapeutic target in papillary thyroid carcinoma.Journal of endocrinological investigation · 2025
    Article
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

22 authors at 3 institutions in 3 countries.

Siyuan ChengKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China; Department of Medical Oncology and Radiation Sickness, Peking University Third Hospital, Beijing 100191, China.
Zihan HanKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China; Department of Colorectal Surgery, China-Japan Friendship Hospital, Beijing 100029, China.
Die DaiXbiome, Shenzhen 518055, China.
Fang LiXbiome, Shenzhen 518055, China.
Xiaotian ZhangState Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Ming LuState Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Zhihao LuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Xicheng WangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Jun ZhouKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Jian LiState Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Xiaohuan GuoInstitute for Immunology, School of Medicine, Tsinghua University, Beijing 100084, China.
Panwei SongInstitute for Immunology, School of Medicine, Tsinghua University, Beijing 100084, China.
Chuangzhao QiuXbiome, Shenzhen 518055, China.
Wei ShenXbiome, Shenzhen 518055, China.
Qi ZhangXbiome, Shenzhen 518055, China.
Ning ZhuXbiome, Shenzhen 518055, China.
Xi WangXbiome, Shenzhen 518055, China.
Yan TanXbiome, Shenzhen 518055, China.
Yan KouXbiome, Shenzhen 518055, China.
Xiaochen YinXbiome, Shenzhen 518055, China. Electronic address: yinxiaochen@xbiome.com.
Lin ShenState Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China. Electronic address: shenlin@bjmu.edu.cn.
Zhi PengState Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China. Electronic address: zhipeng@bjmu.edu.cn.
Peking University · CNTsinghua University · CNUniversity of Lomé · TG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the encouraging efficacy of anti-PD-1/PD-L1 immunotherapy in microsatellite-instability-high/deficient mismatch repair (MSI-H/dMMR) advanced gastrointestinal cancer, many patients exhibit primary or acquired resistance. Using multi-omics approaches, we interrogate gut microbiome, blood metabolome, and cytokines/chemokines of patients with MSI-H/dMMR gastrointestinal cancer (N = 77) at baseline and during the treatment. We identify a number of microbes (e.g., Porphyromonadaceae) and metabolites (e.g., arginine) highly associated with primary resistance to immunotherapy. An independent validation cohort (N = 39) and mouse model are used to further confirm our findings. A predictive machine learning model for primary resistance is also built and achieves an accuracy of 0.79 on the external validation set. Furthermore, several microbes are pinpointed that gradually changed during the process of acquired resistance. In summary, our study demonstrates the essential role of gut microbiome in drug resistance, and this can be utilized as a preventative diagnosis tool and therapeutic target in the future.

Indexed as

Brain NeoplasmsColorectal NeoplasmsGastrointestinal MicrobiomeGastrointestinal NeoplasmsNeoplastic Syndromes, HereditaryAnimalsEcosystemHumansImmunotherapyMiceMicrosatellite RepeatsMultiomicsMutationgastrointestinal cancergut microbiomeimmunotherapymicrosatellite instability-high/deficient mismatch repairMSI-H/dMMR

Identifiers

PMID38194971
PMCPMC10829783
OpenAlexW4390673422

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.