Evidence map›Paper›PMID 42143340›Full record

ArticleJournal of translational medicine2026

Characteristics of gut microbiota changes in patients with nasopharyngeal carcinoma during radiotherapy.

Caihong Yu, Yingying Lin, Xiaonan Cui, Xiaojun Huang, Yanxin Zhang, Min Kang, Jiamei Lu

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Article in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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7 authors.

Caihong YuDepartment of Radiotherapy, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, 530021, People's Republic of China.
Yingying LinDepartment of Radiotherapy, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, 530021, People's Republic of China.
Xiaonan CuiDepartment of Radiotherapy, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, 530021, People's Republic of China.
Xiaojun HuangDepartment of Radiotherapy, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, 530021, People's Republic of China.
Yanxin ZhangDepartment of Radiotherapy, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, 530021, People's Republic of China.
Min KangDepartment of Radiotherapy, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, 530021, People's Republic of China.
Jiamei LuDepartment of Radiotherapy, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, 530021, People's Republic of China. lujiamei1982@163.com.

Funding

Adolph C. and Mary Sprague Miller Institute for Basic Research in Science, University of California Berkeley No. 2021KY0126Health Promotion Administration, Ministry of Health and Welfare Key No: S2023075"Nursing Talents" Research and Innovation Ability Training Program of the First Affiliated Hospital of Guangxi Medical University Excellent nursing talent 202202the Scientifc research project of Guangxi Nursing Society GXHL202305
6 · The paper itself

Abstract

backgroundThis study aimed to characterize the longitudinal and dynamic changes of gut microbiota in patients with nasopharyngeal carcinoma (NPC) during radiotherapy, to inform the development of strategies for maintaining gut microbiota homeostasis.

methodsThirty-one newly diagnosed NPC patients were recruited from the Department of Radiotherapy, First Affiliated Hospital of Guangxi Medical University, and 31 age-matched healthy controls from the same Hospital Physical Examination Center between August and December 2023. Fecal samples were collected from NPC patients at three key time points, including days 1-3 pre-radiotherapy (T0), days 14-18 of mid-radiotherapy (T1), and days 28-32 at end of radiotherapy (T2). Meanwhile, fecal samples from healthy controls were collected on the morning of their physical examination. 16S rDNA sequencing, combined with bioinformatics and statistical analyses, was used to compare the structural characteristics and dynamic changes of gut microbiota in NPC patients during radiotherapy.

resultsAlpha diversity analysis showed significantly lower Shannon and Chao1 indices in NPC patients compared with healthy controls. Beta diversity analysis based on the Bray-Curtis distance revealed distinct gut microbial community structures between NPC patients and healthy controls. In this intergroup comparison, a total of 16 core differentially abundant taxa were consistently identified by two complementary analytical methods (LEfSe and ALDEx2). Linear mixed-effects models demonstrated that the Chao1 index at T0 was significantly lower than at T1 and T2 in NPC patients. Following adjustment for multiple confounding variables, mucositis grade was the only factor significantly associated with gut microbiota alpha diversity during radiotherapy. Radiotherapy time points, treatment regimen, and most clinical and demographic variables showed no such association. Beta diversity analyses based on the Bray-Curtis and unweighted Unifrac distances revealed significant compositional and structural differences linked to radiotherapy time points (T0/T1/T2) in the gut microbiota of NPC patients. This temporal variation was abrogated by stratification according to chemotherapy regimen. Beta diversity based on Bray-Curtis distance showed no significant differentiation across time points in either the concurrent chemotherapy (CCRT) alone cohort or the induction chemotherapy plus CCRT cohort. LEfSe and ALDEx2 concordantly identified seven core differentially abundant taxa across all NPC patients in the longitudinal T0 vs. T1 vs. T2 analysis. Stratification by chemotherapy regimen revealed such core taxa in the CCRT alone cohort, whereas no core differentially abundant taxa were detected by either method in the induction chemotherapy plus CCRT cohort.

conclusionOur findings demonstrate that NPC patients exhibit significant gut microbial dysbiosis compared with healthy controls, characterized by reduced alpha diversity and altered genus-level composition. Longitudinal analyses further revealed that radiotherapy is associated with dynamic alterations in gut microbial diversity, composition, and structure in NPC patients. Notably, these temporal shifts in the gut microbiota are strongly stratified by chemotherapy regimen, with pronounced changes observed in patients receiving CCRT alone but a stable microbial profile in those receiving induction chemotherapy followed by CCRT. Collectively, these results highlight the profound impact of oncological treatment on the gut microbiome in NPC patients and identify treatment regimen as a critical modifier of microbial dynamics during radiotherapy.

Indexed as

Gastrointestinal MicrobiomeNasopharyngeal CarcinomaNasopharyngeal NeoplasmsAdultCase-Control StudiesFemaleHumansMaleMiddle AgedRNA, Ribosomal, 16SRNA, Ribosomal, 16SCharacteristicsGut microbiotaNasopharyngeal carcinomaRadiotherapy

Identifiers

PMID42143340
PMCPMC13352688

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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.