Evidence map›Paper›PMID 41853712›Full record

ArticleFrontiers in microbiology2026

Comparative analysis of microbial diversity and clinical outcomes in critically ill patients with and without malignancies: a single-center retrospective cohort study.

Jinwei Yao, Fangzhou Wang, Haichao Li, Ruoxi Zhang, Guofeng Ji, Dachuan Liu

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Article in Frontiers in microbiology, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jinwei Yao *Department of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Fangzhou Wang *Department of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Haichao LiDepartment of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Ruoxi ZhangDepartment of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Guofeng JiDepartment of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Dachuan LiuDepartment of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis and septic shock are severe complications for surgical malignancy patients. Conventional diagnostics often fail to capture the complex infectome in these populations. This study aimed to characterize the distinct microbial and resistome landscapes in cancer versus non-cancer patients using multi-site metagenomic next-generation sequencing (mNGS) to support specific antimicrobial strategies. Methods: We conducted a single-center retrospective cohort study at the General Surgery ICU of Xuanwu Hospital, including 107 septic shock patients (52 cancer; 55 non-cancer). mNGS was performed on blood, bile, ascitic fluid, and bronchoalveolar lavage samples to identify pathogens and antibiotic resistance genes (ARGs). Findings were analyzed for their association with ICU length of stay and mortality. Results: Cancer patients were significantly older (median 68 vs. 51 years, Conclusion: Septic shock in cancer patients exhibits a unique resistome signature and distinct prognostic drivers. The identification of microbial targets via mNGS was associated with the implementation of targeted antimicrobial strategies and inflammation monitoring. These findings suggest that mNGS provides valuable molecular insights that may support clinical management and prognostic stratification for cancer patients in the surgical ICU.

Indexed as

antimicrobial resistance genescancermetagenomicspatient prognosisseptic shock

Identifiers

PMID41853712
PMCPMC12992062

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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.