ArticleBMC microbiology2023
Correlation of gut microbiota with leukopenia after chemotherapy in patients with colorectal cancer.
Article in BMC microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- The "oral-gut axis" transmission of microorganisms in colorectal cancer: Insights fromVirulence · 2026Review
- Human Fecal Transplantation Modifies the Gut Microbiota but Not Metabolites in Colon Cancer Patient-Derived Xenografts.International journal of molecular sciences · 2026Article
- Unveiling the Mechanism Underlying Diyu Shengbai Tablet in Remediating Leukopenia Based on Network Pharmacology, Metabonomics, and Fecal Transcriptomics.Chemistry & biodiversity · 2026Article
- Effect of chemotherapy on gut microbiota in patients with colorectal cancer.Frontiers in microbiology · 2026Article
- Microbiome differential abundance methodologies to detect relevant taxa associated with chemotherapy toxicity rate in colorectal cancer.Bioinformatics advances · 2026Article
- Gut microbiota in colorectal cancer: a review of its influence on tumor immune surveillance and therapeutic response.Frontiers in oncology · 2025Review
- Sex-Induced Changes in Microbial Eukaryotes and Prokaryotes in Gastrointestinal Tract of Simmental Cattle.Biology · 2024Article
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Authors and funding
7 authors at 1 institution in 1 country.
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Abstract
backgroundThe most common toxic side effect after chemotherapy, one of the main treatments for colorectal cancer (CRC), is myelosuppression.
objectiveTo analyze the correlation between gut microbiota and leukopenia after chemotherapy in CRC patients.
methodsStool samples were collected from 56 healthy individuals and 55 CRC patients. According to the leukocytes levels in peripheral blood, the CRC patients were divided into hypoleukocytes group (n = 13) and normal leukocytes group (n = 42). Shannon index, Simpson index, Ace index, Chao index and Coverage index were used to analyze the diversity of gut microbiota. LDA and Student's t-test(St test) were used for analysis of differences. Six machine learning algorithms, including logistic regression (LR) algorithm, random forest (RF) algorithm, neural network (NN) algorithm, support vector machine (SVM) algorithm, catboost algorithm and gradient boosting tree algorithm, were used to construct the prediction model of gut microbiota with leukopenia after chemotherapy for CRC.
resultsCompared with healthy group, the microbiota alpha diversity of CRC patients was significantly decreased (p < 0.05). After analyzing the gut microbiota differences of the two groups, 15 differential bacteria, such as Bacteroides, Faecalibacterium and Streptococcus, were screened. RF prediction model had the highest accuracy, and the gut microbiota with the highest predictive value were Peptostreptococcus, Faecalibacterium, and norank_f__Ruminococcaceae, respectively. Compared with normal leukocytes group, the microbiota alpha diversity of hypoleukocytes group was significantly decreased (p < 0.05). The proportion of Escherichia-Shigella was significantly decreased in the hypoleukocytes group. After analyzing the gut microbiota differences of the two groups, 9 differential bacteria, such as Escherichia-Shigella, Fusicatenibacter and Cetobacterium, were screened. RF prediction model had the highest accuracy, and the gut microbiota with the highest predictive value were Fusicatenibacte, Cetobacterium, and Paraeggerthella.
conclusionGut microbiota is related to leukopenia after chemotherapy. The gut microbiota may provide a novel method for predicting myelosuppression after chemotherapy in CRC patients.
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