Evidence map›Paper›PMID 42434798›Full record

SynthesisThe oncologist2026

The use of antibiotic, probiotic, and fecal microbiota transplantation in modulating immunotherapy efficacy and survival: a systematic review and meta-analysis of clinical outcomes.

Zijun Zhai, Shuling Ma, Shijie Shang, Xinyi Liang, Shan Yin, Haofeng Lin, Rui Ding, Aimin Jiang, Ran Zhang, Meng Wu and 3 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in The oncologist, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Zijun ZhaiCheeloo College of Medicine, Shandong University Cancer Center, Jinan, 250000, China.
Shuling MaDepartment of Shandong Provincial Key Laboratory of Precision Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China.
Shijie ShangDepartment of Shandong Provincial Key Laboratory of Precision Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China.
Xinyi LiangDepartment of Shandong Provincial Key Laboratory of Precision Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China.
Shan YinCheeloo College of Medicine, Shandong University Cancer Center, Jinan, 250000, China.
Haofeng LinGuangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, Guangdong Pharmaceutical University, Guangzhou, 510006, People's Republic of China.
Rui DingDepartment of Shandong Provincial Key Laboratory of Precision Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China.
Aimin JiangDepartment of Shandong Provincial Key Laboratory of Precision Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China.
Ran ZhangDepartment of Shandong Provincial Key Laboratory of Precision Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China.
Meng WuDepartment of Shandong Provincial Key Laboratory of Precision Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China.
Jinming YuDepartment of Shandong Provincial Key Laboratory of Precision Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China.
Qian SongDepartment of Shandong Provincial Key Laboratory of Precision Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China.
Dawei ChenCheeloo College of Medicine, Shandong University Cancer Center, Jinan, 250000, China.ORCID 0000-0002-6762-7997

Funding

National Natural Science Foundation of China 82030082National Natural Science Foundation of China 82172676National Natural Science Foundation of China 82373217National Natural Science Foundation of China 82403455
6 · The paper itself

Abstract

backgroundImmune checkpoint inhibitors (ICIs) have been one of the important therapeutic approaches for patients with advanced malignancies; nevertheless, their clinical efficacy remains limited in many patients. Recently, the contribution of intestinal microbiota to improved antitumor immune responses has gradually been recognized.

methodsA comprehensive literature search was conducted in PubMed, Embase, and the Cochrane Library to identify relevant studies published up to June 15, 2026. We evaluated the influence of microbiota interventions with respect to efficacy and survival in cancer patients receiving ICIs from 3 perspectives: antibiotics, probiotics, and fecal microbiota transplantation (FMT). The main endpoint was objective response rate (ORR), and secondary endpoints were overall survival (OS) and progression-free survival (PFS).

resultsThe final analysis comprised 106 studies, which were categorized into 3 groups: antibiotics (76 studies), probiotics (15 studies), and FMT (15 studies). Antibiotic use was correlated with compromised immunotherapy efficacy and unfavorable survival outcomes. In particular, antibiotic exposure was linked to a reduced ORR (odds ratio [OR] = 0.60, 95% CI, 0.46-0.77, P < .001), shorter OS (hazard ratio [HR] = 1.56, 95% CI, 1.44-1.69, P < .001), and shorter PFS (HR = 1.50, 95% CI, 1.32-1.70, P < .001). In contrast, probiotics showed a supportive and positive effect on immunotherapy outcomes, with improved ORR (OR = 1.95, 95% CI, 1.46-2.62, P < .001) and better OS (HR = 0.56, 95% CI, 0.41-0.78, P < .001) and PFS (HR = 0.53, 95% CI= 0.38-0.74, P < .001). FMT combined with immunotherapy achieved a favorable ORR of 0.30 (95% CI, 0.16-0.45, P < .001).

conclusionsThis meta-analysis synthesized evidence from studies on antibiotics, probiotics, and FMT use, suggesting gut microbiota offering potential approaches to enhance immunotherapy treatment effectiveness and clinical efficacy in individuals with advanced-stage solid cancers.

Indexed as

Anti-Bacterial AgentsFecal Microbiota TransplantationImmunotherapyNeoplasmsProbioticsHumansTreatment OutcomeAnti-Bacterial Agentsantibioticfecal microbiota transplantationimmune checkpoint inhibitorsmicrobiotaprobiotic

Identifiers

PMID42434798
PMCPMC13401492

What Socratic holds

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LicenceCC BY
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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 Socratic graph.