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ORIGINAL RESEARCH article

Front. Cell. Infect. Microbiol.

Sec. Clinical and Diagnostic Microbiology and Immunology

This article is part of the Research TopicMicrobiota, Antibiotic Resistance, and Host-Microbe Interactions: A Comprehensive Exploration of Infectious Disease DynamicsView all 8 articles

Gut-to-Tumor Translocation of Multidrug-Resistant Klebsiella pneumoniae Shapes the Microbiome and Chemoresistance in Pancreatic Cancer

Provisionally accepted
Lei  ZhaoLei Zhao1Shifu  PengShifu Peng2Muxi  GeMuxi Ge3Boming  XingBoming Xing3Xinyang  ZhaoXinyang Zhao3Tongquan  YanTongquan Yan1Shenghui  YuShenghui Yu1Cheng  ZhangCheng Zhang1Jinyang  LiuJinyang Liu1Ziwei  MiaoZiwei Miao3Heyao  MaHeyao Ma3*
  • 1The First Hospital of China Medical University, Shenyang, China
  • 2Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
  • 3China Medical University, Shenyang, China

The final, formatted version of the article will be published soon.

Backgroud: Despite advances and successes in precision oncology, pancreatic cancer (PC) remains a tumor with extremely low survival rates, and many of these cases experienced postoperative recurrence and metastasis. Alterations in the gut microbiota have been linked to the survival rates of PC patients. Nevertheless, the complexity of gut microbiota composition poses significant challenges in identifying definitive clinical biomarkers forPC. Methods: Fecal samples were collected from PC patients, half of whom had metastasis, and their matched healthy controls (HCs). A metagenomic analysis was employed to further investigate the functional features of gut microbiota with both PC and metastatic PC. The clinical correlations, microbial metabolic pathways and antibiotic resistome were further assessed. In a follow-up validation, intraoperative tumor tissue and pancreatic fluid were sampled from PC patients and underwent comprehensive microbiological analysis, including bacterial culture, mass spectrometry-based identification, and third-generation whole-genome sequencing of Klebsiella pneumoniae isolates. Results: We observed a significant alteration of the gut microbiota in PC patients, highlighted by an overall increase in microbial diversity compared to healthy controls (p < 0.05). Comparative abundance analysis identified 59 differentially abundant microbial species in non-metastatic pancreatic cancer (NMPC) (56 increased, 3 decreased) and 21 in metastatic pancreatic cancer (MPC) (19 increased, 2 decreased), alongside 18 significantly altered microbial metabolic pathways (FDR-adjusted p < 0.05). Notably, Klebsiella pneumoniae, Klebsiella oxytoca, and Akkermansia muciniphila were identified as prominent antibiotic resistance gene (ARG) carriers in the gut microbiota of PC patients, with 653 ARG subtypes detected across fecal samples, 38–47% of which were shared among groups. Strong co-occurrence patterns between ARGs (e.g., acrB, mdtC, cpxA, emr, pmrF) and the above species were observed predominantly in MPC samples (p < 0.05). Whole-genome sequencing of 14 isolates obtained from tumor tissue and pancreatic fluid revealed consistent ARG profiles and virulence genes, corroborating the metagenomic findings and supporting the hypothesis of gut-to-tumor translocation and potential intratumoral colonization. Conclusion: This study provides a comprehensive microbiome-based insight into PC and its metastatic subtypes. By integrating microbiome analysis with microbial culture, this study provides direct evidence of gut-derived multidrug-resistant (MDR) K. pneumoniae colonization in PC tissues.

Keywords: antibiotic resistance gene (ARG)1, gut microbiome2, pancreatic cancer3, whole-genome sequencing 4, metagenomic analysis5, Klebsiella pneumoniae6

Received: 28 Aug 2025; Accepted: 04 Nov 2025.

Copyright: © 2025 Zhao, Peng, Ge, Xing, Zhao, Yan, Yu, Zhang, Liu, Miao and Ma. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Heyao Ma, 20142069@cmu.edu.cn

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