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Plaza-Diaz J, Álvarez-Mercado AI. The Interplay between Microbiota and Chemotherapy-Derived Metabolites in Breast Cancer. Metabolites 2023; 13:703. [PMID: 37367861 PMCID: PMC10301694 DOI: 10.3390/metabo13060703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 05/23/2023] [Accepted: 05/26/2023] [Indexed: 06/28/2023] Open
Abstract
The most common cancer in women is breast cancer, which is also the second leading cause of death in this group. It is, however, important to note that some women will develop or will not develop breast cancer regardless of whether certain known risk factors are present. On the other hand, certain compounds are produced by bacteria in the gut, such as short-chain fatty acids, secondary bile acids, and other metabolites that may be linked to breast cancer development and mediate the chemotherapy response. Modeling the microbiota through dietary intervention and identifying metabolites directly associated with breast cancer and its complications may be useful to identify actionable targets and improve the effect of antiangiogenic therapies. Metabolomics is therefore a complementary approach to metagenomics for this purpose. As a result of the combination of both techniques, a better understanding of molecular biology and oncogenesis can be obtained. This article reviews recent literature about the influence of bacterial metabolites and chemotherapy metabolites in breast cancer patients, as well as the influence of diet.
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Affiliation(s)
- Julio Plaza-Diaz
- Department of Biochemistry and Molecular Biology II, School of Pharmacy, University of Granada, 18071 Granada, Spain;
- Instituto de Investigación Biosanitaria ibs.GRANADA, Complejo Hospitalario Universitario de Granada, 18014 Granada, Spain
- Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 8L1, Canada
| | - Ana Isabel Álvarez-Mercado
- Department of Biochemistry and Molecular Biology II, School of Pharmacy, University of Granada, 18071 Granada, Spain;
- Instituto de Investigación Biosanitaria ibs.GRANADA, Complejo Hospitalario Universitario de Granada, 18014 Granada, Spain
- Institute of Nutrition and Food Technology, Biomedical Research Center, University of Granada, 18016 Armilla, Spain
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Loftfield E, Stepien M, Viallon V, Trijsburg L, Rothwell JA, Robinot N, Biessy C, Bergdahl IA, Bodén S, Schulze MB, Bergman M, Weiderpass E, Schmidt JA, Zamora-Ros R, Nøst TH, Sandanger TM, Sonestedt E, Ohlsson B, Katzke V, Kaaks R, Ricceri F, Tjønneland A, Dahm CC, Sánchez MJ, Trichopoulou A, Tumino R, Chirlaque MD, Masala G, Ardanaz E, Vermeulen R, Brennan P, Albanes D, Weinstein SJ, Scalbert A, Freedman ND, Gunter MJ, Jenab M, Sinha R, Keski-Rahkonen P, Ferrari P. Novel Biomarkers of Habitual Alcohol Intake and Associations With Risk of Pancreatic and Liver Cancers and Liver Disease Mortality. J Natl Cancer Inst 2021; 113:1542-1550. [PMID: 34010397 PMCID: PMC8562969 DOI: 10.1093/jnci/djab078] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 02/24/2021] [Accepted: 04/09/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Alcohol is an established risk factor for several cancers, but modest alcohol-cancer associations may be missed because of measurement error in self-reported assessments. Biomarkers of habitual alcohol intake may provide novel insight into the relationship between alcohol and cancer risk. METHODS Untargeted metabolomics was used to identify metabolites correlated with self-reported habitual alcohol intake in a discovery dataset from the European Prospective Investigation into Cancer and Nutrition (EPIC; n = 454). Statistically significant correlations were tested in independent datasets of controls from case-control studies nested within EPIC (n = 280) and the Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC; n = 438) study. Conditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations of alcohol-associated metabolites and self-reported alcohol intake with risk of pancreatic cancer, hepatocellular carcinoma (HCC), liver cancer, and liver disease mortality in the contributing studies. RESULTS Two metabolites displayed a dose-response association with self-reported alcohol intake: 2-hydroxy-3-methylbutyric acid and an unidentified compound. A 1-SD (log2) increase in levels of 2-hydroxy-3-methylbutyric acid was associated with risk of HCC (OR = 2.54, 95% CI = 1.51 to 4.27) and pancreatic cancer (OR = 1.43, 95% CI = 1.03 to 1.99) in EPIC and liver cancer (OR = 2.00, 95% CI = 1.44 to 2.77) and liver disease mortality (OR = 2.16, 95% CI = 1.63 to 2.86) in ATBC. Conversely, a 1-SD (log2) increase in questionnaire-derived alcohol intake was not associated with HCC or pancreatic cancer in EPIC or liver cancer in ATBC but was associated with liver disease mortality (OR = 2.19, 95% CI = 1.60 to 2.98) in ATBC. CONCLUSIONS 2-hydroxy-3-methylbutyric acid is a candidate biomarker of habitual alcohol intake that may advance the study of alcohol and cancer risk in population-based studies.
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Affiliation(s)
- Erikka Loftfield
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute,National Institutes of Health, Bethesda, MD, USA
| | - Magdalena Stepien
- Nutritional Epidemiology Group, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Vivian Viallon
- Nutritional Methodology and Biostatistics Group, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Laura Trijsburg
- Nutritional Methodology and Biostatistics Group, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Joseph A Rothwell
- Nutritional Epidemiology Group, International Agency for Research on Cancer (IARC-WHO), Lyon, France
- Gustave Roussy, F-94805, Villejuif, France
- Biomarkers Group, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Nivonirina Robinot
- Centre for Epidemiology and Population Health (U1018), Generations and Health team, Faculté de Médecine, Université Paris-Saclay, UVSQ, INSERM, Villejuif, France
| | - Carine Biessy
- Nutritional Methodology and Biostatistics Group, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | | | - Stina Bodén
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Manuela Bergman
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | | | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Raul Zamora-Ros
- Unit of Nutrition and Cancer, Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat, Barcelona, Spain
| | - Therese H Nøst
- Department of Community Medicine, UiT- The Arctic University of Norway, Tromsø, Norway
| | - Torkjel M Sandanger
- Department of Community Medicine, UiT- The Arctic University of Norway, Tromsø, Norway
| | - Emily Sonestedt
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Bodil Ohlsson
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, University of Turin, Italy; Unit of Epidemiology, Regional Health Service ASL TO3, Grugliasco, TO, Italy
| | - Anne Tjønneland
- Danish Cancer Society Research Center; University of Copenhagen, Department of Public Health
| | | | - Maria-Jose Sánchez
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain; Instituto de Investigación Biosanitaria ibs. GRANADA, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | | | - Rosario Tumino
- Cancer Registry and Histopathology Department, Provincial Health Authority (ASP 7), Ragusa, Italy
| | - María-Dolores Chirlaque
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Murcia, Spain
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network—ISPRO, Florence, Italy
| | - Eva Ardanaz
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- CIBER Epidemiology and Public Health CIBERESP, Madrid, Spain
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands
| | - Paul Brennan
- Genetic Epidemiology Group, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Demetrius Albanes
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute,National Institutes of Health, Bethesda, MD, USA
| | - Stephanie J Weinstein
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute,National Institutes of Health, Bethesda, MD, USA
| | - Augustin Scalbert
- Centre for Epidemiology and Population Health (U1018), Generations and Health team, Faculté de Médecine, Université Paris-Saclay, UVSQ, INSERM, Villejuif, France
| | - Neal D Freedman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute,National Institutes of Health, Bethesda, MD, USA
| | - Marc J Gunter
- Nutritional Epidemiology Group, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Mazda Jenab
- Nutritional Epidemiology Group, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Rashmi Sinha
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute,National Institutes of Health, Bethesda, MD, USA
| | - Pekka Keski-Rahkonen
- Centre for Epidemiology and Population Health (U1018), Generations and Health team, Faculté de Médecine, Université Paris-Saclay, UVSQ, INSERM, Villejuif, France
| | - Pietro Ferrari
- Nutritional Methodology and Biostatistics Group, International Agency for Research on Cancer (IARC-WHO), Lyon, France
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Ravnik Z, Muthiah I, Dhanaraj P. Computational studies on bacterial secondary metabolites against breast cancer. J Biomol Struct Dyn 2020; 39:7056-7064. [PMID: 32779523 DOI: 10.1080/07391102.2020.1805361] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Microbes exist in the human body provide more benefits by modulating metabolic processes, immunity, and signal transduction. However, microbial dysbiosis with harmful bacterial species can cause chronic inflammation and cancers. Hence human probiotics were recently paid more attention to immune responses, therapy, and diagnosis. Breast cancer is the second leading cancer worldwide and causes more death in women. The role of breast microbiome secondary metabolites in breast cancer is poorly studied. Research shows that breast has a specific microbiome inhabited with particular bacterial species. More significantly probiotics produced from breast microbiomes may act as a potential biomarker for breast cancer diagnosis. Hence this computational research aimed at the effect of chosen metabolites on breast cancer cell receptor G-protein-coupled bile acid receptor, Gpbar1 (TGR5). The current research suggested that cadaverine, succinate, p-cresol, and its derivatives could be used as a molecular marker in the diagnosis of breast cancer.
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Affiliation(s)
- Zina Ravnik
- Department of Biotechnology, Karunya Institute of Technology and Sciences (Deemed to be University), Coimbatore, Tamil Nadu, India
| | - Indiraleka Muthiah
- Department of Biotechnology, Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, India
| | - Premnath Dhanaraj
- Department of Biotechnology, Karunya Institute of Technology and Sciences (Deemed to be University), Coimbatore, Tamil Nadu, India
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Vossen E, Goethals S, De Vrieze J, Boon N, Van Hecke T, De Smet S. Red and processed meat consumption within two different dietary patterns: Effect on the colon microbial community and volatile metabolites in pigs. Food Res Int 2019; 129:108793. [PMID: 32036914 DOI: 10.1016/j.foodres.2019.108793] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 10/29/2019] [Accepted: 10/30/2019] [Indexed: 02/07/2023]
Abstract
Pigs were fed either red and processed meat or chicken meat within either a prudent or a Western dietary pattern for four weeks (2 × 2 full factorial design). The colon microbial community and volatile organic compounds were assessed (either quantified or based on their presence). Results show that Lactobacilli were characteristic for the chicken × prudent dietary pattern treatment and Paraprevotella for the red and processed meat × prudent dietary pattern treatment. Enterobacteriaceae and Desulfovibrio were characteristic for the chicken × Western dietary pattern treatment and Butyrivibrio for the red and processed meat × Western dietary pattern treatment. Campylobacter was characteristic for chicken consumption and Clostridium XIVa for red and processed meat, irrespective of the dietary pattern. Ethyl valerate and 1-methylthio-propane were observed more frequently in pigs fed red and processed meat compared to chicken meat. The prevalence of 3-methylbutanal was >80% for pigs receiving a Western dietary pattern, whereas for pigs fed a prudent dietary pattern the prevalence was <35%. The concentration of butanoic acid was significantly higher when the prudent dietary pattern was given, compared to the Western dietary pattern, but no differences for other short chain fatty acids or protein fermentation products were observed.
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Affiliation(s)
- Els Vossen
- Laboratory for Animal Nutrition and Animal Product Quality, Department of Animal Sciences and Aquatic Ecology, Ghent University, Coupure Links 653, Ghent, Belgium
| | - Sophie Goethals
- Laboratory for Animal Nutrition and Animal Product Quality, Department of Animal Sciences and Aquatic Ecology, Ghent University, Coupure Links 653, Ghent, Belgium
| | - Jo De Vrieze
- Center for Microbial Ecology and Technology, Department of Biotechnology, Ghent University, Coupure Links 653, Ghent, Belgium
| | - Nico Boon
- Center for Microbial Ecology and Technology, Department of Biotechnology, Ghent University, Coupure Links 653, Ghent, Belgium
| | - Thomas Van Hecke
- Laboratory for Animal Nutrition and Animal Product Quality, Department of Animal Sciences and Aquatic Ecology, Ghent University, Coupure Links 653, Ghent, Belgium
| | - Stefaan De Smet
- Laboratory for Animal Nutrition and Animal Product Quality, Department of Animal Sciences and Aquatic Ecology, Ghent University, Coupure Links 653, Ghent, Belgium.
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Jaswal V, Palanivelu J, C R. Effects of the Gut microbiota on Amygdalin and its use as an anti-cancer therapy: Substantial review on the key components involved in altering dose efficacy and toxicity. Biochem Biophys Rep 2018; 14:125-132. [PMID: 29872744 PMCID: PMC5986699 DOI: 10.1016/j.bbrep.2018.04.008] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Revised: 04/10/2018] [Accepted: 04/16/2018] [Indexed: 01/05/2023] Open
Abstract
Conventional and Alternative Medicine (CAM) is popularly used due to side-effects and failure of approved methods, for diseases like Epilepsy and Cancer. Amygdalin, a cyanogenic diglycoside is commonly administered for cancer with other CAM therapies like vitamins and seeds of fruits like apricots and bitter almonds, due to its ability to hydrolyse to hydrogen cyanide (HCN), benzaldehyde and glucose. Over the years, several cases of cyanide toxicity on ingestion have been documented. In-vitro and in-vivo studies using various doses and modes of administration, like IV administration studies that showed no HCN formation, point to the role played by the gut microbiota for the commonly seen poisoning on consumption. The anaerobic Bacteriodetes phylum found in the gut has a high β-glucosidase activity needed for amygdalin hydrolysis to HCN. However, there are certain conditions under which these HCN levels rise to cause toxicity. Case studies have shown toxicity on ingestion of variable doses of amygdalin and no HCN side-effects on consumption of high doses. This review shows how factors like probiotic and prebiotic consumption, other CAM therapies, obesity, diet, age and the like, that alter gut consortium, are responsible for the varying conditions under which toxicity occurs and can be further studied to set-up conditions for safe oral doses. It also indicates ways to delay or quickly treat cyanide toxicity due to oral administration and, reviews conflicts on amygdalin's anti-cancer abilities, dose levels, mode of administration and pharmacokinetics that have hindered its official acceptance at a therapeutic level.
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Affiliation(s)
| | | | - Ramalingam C
- School of Bio-Sciences and Technology, VIT University, Vellore 632014, Tamil Nadu, India
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