Lito E Papanicolas1,2, Sarah K Sims3, Steven L Taylor3,4, Sophie J Miller4, Christos S Karapetis5,6, Steve L Wesselingh3, David L Gordon7, Geraint B Rogers3,4. 1. South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia. lito.papanicolas@sa.gov.au. 2. South Australian Health and Medical Research Institute Microbiome Research Laboratory, College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, 5042, Australia. lito.papanicolas@sa.gov.au. 3. South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia. 4. South Australian Health and Medical Research Institute Microbiome Research Laboratory, College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, 5042, Australia. 5. Flinders Centre for Innovation in Cancer, Flinders University, Bedford Park, South Australia, Australia. 6. Department of Medical Oncology, Flinders Medical Centre, Bedford Park, South Australia, Australia. 7. Microbiology and Infectious Diseases, Flinders Medical Centre, Bedford Park, South Australia, Australia.
Abstract
BACKGROUND: The gut microbiota influences many aspects of host physiology, including immune regulation, and is predictive of outcomes in cancer patients. However, whether conventional myelosuppressive chemotherapy affects the gut microbiota in humans with non-haematological malignancy, independent of antibiotic exposure, is unknown. METHODS: Faecal samples from 19 participants with non-haematological malignancy, who were receiving conventional chemotherapy regimens but not antibiotics, were examined prior to chemotherapy, 7-12 days after chemotherapy, and at the end of the first cycle of treatment. Gut microbiota diversity and composition was determined by 16S rRNA gene amplicon sequencing. RESULTS: Compared to pre-chemotherapy samples, samples collected 7-12 days following chemotherapy exhibited increased richness (mean 120 observed species ± SD 38 vs 134 ± 40; p = 0.007) and diversity (Shannon diversity: mean 6.4 ± 0.43 vs 6.6 ± 0.41; p = 0.02). Composition was significantly altered, with a significant decrease in the relative abundance of gram-positive bacteria in the phylum Firmicutes (pre-chemotherapy median relative abundance [IQR] 0.78 [0.11] vs 0.75 [0.11]; p = 0.003), and an increase in the relative abundance of gram-negative bacteria (Bacteroidetes: median [IQR] 0.16 [0.13] vs 0.21 [0.13]; p = 0.01 and Proteobacteria: 0.015 [0.018] vs 0.03 [0.03]; p = 0.02). Differences in microbiota characteristics from baseline were no longer significant at the end of the chemotherapy cycle. CONCLUSIONS: Conventional chemotherapy results in significant changes in gut microbiota characteristics during the period of predicted myelosuppression post-chemotherapy. Further study is indicated to link microbiome changes during chemotherapy to clinical outcomes.
BACKGROUND: The gut microbiota influences many aspects of host physiology, including immune regulation, and is predictive of outcomes in cancerpatients. However, whether conventional myelosuppressive chemotherapy affects the gut microbiota in humans with non-haematological malignancy, independent of antibiotic exposure, is unknown. METHODS: Faecal samples from 19 participants with non-haematological malignancy, who were receiving conventional chemotherapy regimens but not antibiotics, were examined prior to chemotherapy, 7-12 days after chemotherapy, and at the end of the first cycle of treatment. Gut microbiota diversity and composition was determined by 16S rRNA gene amplicon sequencing. RESULTS: Compared to pre-chemotherapy samples, samples collected 7-12 days following chemotherapy exhibited increased richness (mean 120 observed species ± SD 38 vs 134 ± 40; p = 0.007) and diversity (Shannon diversity: mean 6.4 ± 0.43 vs 6.6 ± 0.41; p = 0.02). Composition was significantly altered, with a significant decrease in the relative abundance of gram-positive bacteria in the phylum Firmicutes (pre-chemotherapy median relative abundance [IQR] 0.78 [0.11] vs 0.75 [0.11]; p = 0.003), and an increase in the relative abundance of gram-negative bacteria (Bacteroidetes: median [IQR] 0.16 [0.13] vs 0.21 [0.13]; p = 0.01 and Proteobacteria: 0.015 [0.018] vs 0.03 [0.03]; p = 0.02). Differences in microbiota characteristics from baseline were no longer significant at the end of the chemotherapy cycle. CONCLUSIONS: Conventional chemotherapy results in significant changes in gut microbiota characteristics during the period of predicted myelosuppression post-chemotherapy. Further study is indicated to link microbiome changes during chemotherapy to clinical outcomes.
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