Evidence map›Paper›PMID 41851757›Full record

ArticleMicrobiome2026

The interplay between Peptostreptococcus and Fusobacterium as novel signatures in colorectal cancer recurrence.

Yunhui Zhang, Bowei Zhang, Wenwen Pang, Wentao Gu, Xiaotong Wang, Hao Yuan, Shiyu Fang, Jie Zhang, Xiang Li, Xiaolong Xing and 5 more

Abstract read
In one paragraph

Article in Microbiome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

15 authors.

Yunhui Zhang *Tianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin, 300071, China.
Bowei Zhang *Tianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin, 300071, China.
Wenwen Pang *Department of Clinical Laboratory, Tianjin Union Medical Center, Nankai University, Tianjin, 300121, China.
Wentao GuTianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin, 300071, China.
Xiaotong WangSchool of Medicine, Nankai University, Tianjin, 300071, China.
Hao YuanSchool of Medicine, Nankai University, Tianjin, 300071, China.
Shiyu FangSchool of Medicine, Nankai University, Tianjin, 300071, China.
Jie ZhangSchool of Medicine, Nankai University, Tianjin, 300071, China.
Xiang LiTianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin, 300071, China.
Xiaolong XingTianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin, 300071, China.
Xuemeng JiTianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin, 300071, China.
Tianxu LiuTianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin, 300071, China.
Fan WeiTianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin, 300071, China.
Chunze ZhangDepartment of Colorectal Surgery, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, Tianjin, 300121, China. chunze.zhang@nankai.edu.cn.
Shuo WangTianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin, 300071, China. wangshuo@nankai.edu.cn.

Funding

Beijing-Tianjin-Hebei Basic Research Cooperation Project 23JCZXJC00390-J230038National Natural Science Foundation of China 82473806National Science and Technology Major Project 2024ZD0521200-2024ZD0521203Natural Science Foundation of Tianjin No. 25JCYBJC01130Tianjin Health Technology Project TJWJ2023QN040Tianjin Municipal Public Health Program 25ZXWQSY00010
6 · The paper itself

Abstract

backgroundAfter resection surgery, recurrence occurs in more than 30% of colorectal cancer (CRC) patients. Previous studies have highlighted the role of the gut microbiota in CRC initiation and progression; however, the microbial features associated with recurrence remain not completely understood. In particular, integrated multi-omics biomarkers, the interactions between microorganisms, as well as those between microbes and the host, and their relevance to recurrence risk require further investigation.

resultsIn this study, 120 tumor mucosal samples collected during surgery from CRC patients underwent 16S rRNA gene sequencing and LC-MS metabolomic profiling. Recurrence status was determined through postoperative follow-up. Compared to the relatively minor variations in mucosal microbial and metabolomic signatures across different tumor node metastasis (TNM) stages, recurrent patients exhibited a distinct landscape. Machine learning analysis identified an integrated signature comprising five bacterial genera (Peptostreptococcus, Fusobacterium, Bacteroides, Porphyromonas, and Prevotella) and five metabolites (alanylglutamic acid, putrescine, arginine, histidine, and sebacic acid), which demonstrated strong discriminatory performance between recurrent and non-recurrent patients (AUC = 0.89). By integrating 10 biomarkers, a comprehensive risk score for patient stratification was derived. After adjusting for TNM stage, patients classified as high-risk had a significantly shorter recurrence-free survival (adjusted HR = 1.59, 95% CI 1.35-1.88, P < 0.0001). The microbial biomarkers Fusobacterium and Peptostreptococcus displayed positive correlation and were observed to co-aggregate and form dense dual-species biofilms. Further cellular and murine experiments revealed that P. anaerobius significantly enhanced the adhesion of F. nucleatum to tumor cells and its colonization of colonic mucosa. KEGG pathway analysis of differential metabolites identified enrichment of arginine and proline metabolism pathways in the recurrence group. Concurrently, arginine was found to disrupt F. nucleatum-P. anaerobius co-aggregation, while its metabolite putrescine significantly promoted dual-species biofilm formation.

conclusionOur study identified integrated microbial and metabolic features associated with CRC recurrence and proposes an exploratory risk stratification framework. Furthermore, a previously unrecognized link between pathobionts and metabolites relevant to recurrence was reported, which requires further validation in a larger independent cohort. Video Abstract.

Indexed as

Colorectal NeoplasmsFusobacteriumGastrointestinal MicrobiomeNeoplasm Recurrence, LocalPeptostreptococcusAgedFemaleHumansMaleMetabolomicsMiddle AgedMultiomicsRNA, Ribosomal, 16SRNA, Ribosomal, 16SColorectal cancerMachine learningMetabolomeMicrobiomeRecurrence prediction

Identifiers

PMID41851757
PMCPMC13112659

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.