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Sepich-Poore GD, McDonald D, Kopylova E, Guccione C, Zhu Q, Austin G, Carpenter C, Fraraccio S, Wandro S, Kosciolek T, Janssen S, Metcalf JL, Song SJ, Kanbar J, Miller-Montgomery S, Heaton R, Mckay R, Patel SP, Swafford AD, Korem T, Knight R. Robustness of cancer microbiome signals over a broad range of methodological variation. Oncogene 2024; 43:1127-1148. [PMID: 38396294 PMCID: PMC10997506 DOI: 10.1038/s41388-024-02974-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 02/03/2024] [Accepted: 02/07/2024] [Indexed: 02/25/2024]
Abstract
In 2020, we identified cancer-specific microbial signals in The Cancer Genome Atlas (TCGA) [1]. Multiple peer-reviewed papers independently verified or extended our findings [2-12]. Given this impact, we carefully considered concerns by Gihawi et al. [13] that batch correction and database contamination with host sequences artificially created the appearance of cancer type-specific microbiomes. (1) We tested batch correction by comparing raw and Voom-SNM-corrected data per-batch, finding predictive equivalence and significantly similar features. We found consistent results with a modern microbiome-specific method (ConQuR [14]), and when restricting to taxa found in an independent, highly-decontaminated cohort. (2) Using Conterminator [15], we found low levels of human contamination in our original databases (~1% of genomes). We demonstrated that the increased detection of human reads in Gihawi et al. [13] was due to using a newer human genome reference. (3) We developed Exhaustive, a method twice as sensitive as Conterminator, to clean RefSeq. We comprehensively host-deplete TCGA with many human (pan)genome references. We repeated all analyses with this and the Gihawi et al. [13] pipeline, and found cancer type-specific microbiomes. These extensive re-analyses and updated methods validate our original conclusion that cancer type-specific microbial signatures exist in TCGA, and show they are robust to methodology.
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Affiliation(s)
- Gregory D Sepich-Poore
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
- Micronoma, San Diego, CA, USA
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Evguenia Kopylova
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Clarity Genomics, Antwerp, Belgium
| | - Caitlin Guccione
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Qiyun Zhu
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - George Austin
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Carolina Carpenter
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | - Serena Fraraccio
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
- Micronoma, San Diego, CA, USA
| | - Stephen Wandro
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
- Micronoma, San Diego, CA, USA
| | - Tomasz Kosciolek
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Malopolska Centre of Biotechnology, Jagiellonian University in Kraków, Kraków, Poland
| | - Stefan Janssen
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Algorithmic Bioinformatics, Department of Biology and Chemistry, Justus Liebig University Gießen, Gießen, Germany
| | - Jessica L Metcalf
- Department of Animal Sciences, Colorado State University, Fort Collins, CO, USA
| | - Se Jin Song
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | - Jad Kanbar
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Sandrine Miller-Montgomery
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
- Micronoma, San Diego, CA, USA
| | - Robert Heaton
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Rana Mckay
- Moores Cancer Center, University of California San Diego Health, La Jolla, CA, USA
| | - Sandip Pravin Patel
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
- Moores Cancer Center, University of California San Diego Health, La Jolla, CA, USA
| | - Austin D Swafford
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | - Tal Korem
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
- Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY, USA
| | - Rob Knight
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA.
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA.
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Raza S, Koh Y, Yoon SS, Woo SY, Ahn KS, Kim HL, Kim HN. Identification of novel Carnobacterium maltaromaticum strains in bone marrow samples of patients with acute myeloid leukemia using a metagenomic binning approach. Int Microbiol 2023; 26:1033-1040. [PMID: 37087535 DOI: 10.1007/s10123-023-00360-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 04/12/2023] [Accepted: 04/15/2023] [Indexed: 04/24/2023]
Abstract
The aim of this study aimed to examine the existence of a bacterial metagenome in the bone marrow of patients with acute myeloid leukemia (AML). We re-examined whole-genome sequencing data from the bone marrow samples of seven patients with AML, four of whom were remitted after treatment, for metagenomic analysis. After the removal of human reads, unmapped reads were used to profile the species-level composition. We used the metagenomic binning approach to confirm whether the identified taxon was a complete genome of known or novel strains. We observed a unique and novel microbial signature in which Carnobacterium maltaromaticum was the most abundant species in five patients with AML or remission. The complete genome of C. maltaromaticum "BMAML_KR01," which was observed in all samples, was 100% complete with 8.5% contamination and closely clustered with C. maltaromaticum strains DSM20730 and SF668 based on single nucleotide polymorphism variations. We identified five unique proteins that could contribute to cancer progression and 104 virulent factor proteins in the BMAML_KR01 genome. To our knowledge, this is the first report of a new strain of C. maltaromaticum in patients with AML. The presence of C. maltaromaticum and its new strain in patients indicates an urgent need to validate the existence of this bacterium and evaluate its pathophysiological role.
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Affiliation(s)
- Shahbaz Raza
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea
| | - Youngil Koh
- Cancer Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University, College of Medicine, Seoul, Republic of Korea
| | - Sung-Soo Yoon
- Cancer Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University, College of Medicine, Seoul, Republic of Korea
| | - So-Youn Woo
- Department of Microbiology, Ewha Medical Research Institute, School of Medicine, Ewha Woman University, Seoul, Republic of Korea
| | - Kwang-Sung Ahn
- Functional Genome Institute, PDXen Biosystems Inc., Daejeon, Republic of Korea
| | - Hyung-Lae Kim
- Functional Genome Institute, PDXen Biosystems Inc., Daejeon, Republic of Korea
- Department of Biochemistry, College of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Han-Na Kim
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea.
- Biomedical Statistics Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea.
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3
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Zhang N, Kandalai S, Zhou X, Hossain F, Zheng Q. Applying multi-omics toward tumor microbiome research. IMETA 2023; 2:e73. [PMID: 38868335 PMCID: PMC10989946 DOI: 10.1002/imt2.73] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 10/30/2022] [Accepted: 11/28/2022] [Indexed: 06/14/2024]
Abstract
Rather than a "short-term tenant," the tumor microbiome has been shown to play a vital role as a "permanent resident," affecting carcinogenesis, cancer development, metastasis, and cancer therapies. As the tumor microbiome has great potential to become a target for the early diagnosis and treatment of cancer, recent research on the relevance of the tumor microbiota has attracted a wide range of attention from various scientific fields, resulting in remarkable progress that benefits from the development of interdisciplinary technologies. However, there are still a great variety of challenges in this emerging area, such as the low biomass of intratumoral bacteria and unculturable character of some microbial species. Due to the complexity of tumor microbiome research (e.g., the heterogeneity of tumor microenvironment), new methods with high spatial and temporal resolution are urgently needed. Among these developing methods, multi-omics technologies (combinations of genomics, transcriptomics, proteomics, and metabolomics) are powerful approaches that can facilitate the understanding of the tumor microbiome on different levels of the central dogma. Therefore, multi-omics (especially single-cell omics) will make enormous impacts on the future studies of the interplay between microbes and tumor microenvironment. In this review, we have systematically summarized the advances in multi-omics and their existing and potential applications in tumor microbiome research, thus providing an omics toolbox for investigators to reference in the future.
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Affiliation(s)
- Nan Zhang
- Department of Radiation Oncology, College of MedicineThe Ohio State UniversityColumbusOhioUSA
- Center for Cancer Metabolism, Ohio State University Comprehensive Cancer Center ‐ James Cancer Hospital and Solove Research InstituteThe Ohio State UniversityOhioColumbusUSA
| | - Shruthi Kandalai
- Department of Radiation Oncology, College of MedicineThe Ohio State UniversityColumbusOhioUSA
- Center for Cancer Metabolism, Ohio State University Comprehensive Cancer Center ‐ James Cancer Hospital and Solove Research InstituteThe Ohio State UniversityOhioColumbusUSA
| | - Xiaozhuang Zhou
- Department of Radiation Oncology, College of MedicineThe Ohio State UniversityColumbusOhioUSA
- Center for Cancer Metabolism, Ohio State University Comprehensive Cancer Center ‐ James Cancer Hospital and Solove Research InstituteThe Ohio State UniversityOhioColumbusUSA
| | - Farzana Hossain
- Department of Radiation Oncology, College of MedicineThe Ohio State UniversityColumbusOhioUSA
- Center for Cancer Metabolism, Ohio State University Comprehensive Cancer Center ‐ James Cancer Hospital and Solove Research InstituteThe Ohio State UniversityOhioColumbusUSA
| | - Qingfei Zheng
- Department of Radiation Oncology, College of MedicineThe Ohio State UniversityColumbusOhioUSA
- Center for Cancer Metabolism, Ohio State University Comprehensive Cancer Center ‐ James Cancer Hospital and Solove Research InstituteThe Ohio State UniversityOhioColumbusUSA
- Department of Biological Chemistry and Pharmacology, College of MedicineThe Ohio State UniversityColumbusOhioUSA
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Luciola Zanette D, Andrade Coelho KBC, de Carvalho E, Aoki MN, Nardin JM, Araújo Lalli L, dos Santos Bezerra R, Giovanetti M, Simionatto Zucherato V, Montenegro de Campos G, de Souza Todão Bernardino J, Louis Viala V, Ciccozzi M, Junior Alcantara LC, Coccuzzo Sampaio S, Elias MC, Kashima S, Tadeu Covas D, Nanev Slavov S. Metagenomic insights into the plasma virome of Brazilian patients with prostate cancer. Mol Cell Oncol 2023; 10:2188858. [PMID: 36950183 PMCID: PMC10026895 DOI: 10.1080/23723556.2023.2188858] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
Growing evidence suggests that metavirome changes could be associated increased risk for malignant cell transformation. Considering Viruses have been proposed as factors for prostate cancer induction. The objective of this study was to examine the composition of the plasma metavirome of patients with prostate cancer. Blood samples were obtained from 49 male patients with primary prostate adenocarcinoma. Thirty blood donors were included as a control group. The obtained next-generation sequencing data were analyzed using a bioinformatic pipeline for virus metagenomics. Viral reads with higher abundance were assembled in contigs and analyzed taxonomically. Viral agents of interest were also confirmed by qPCR. Anelloviruses and the Human Pegivirus-1 (HPgV-1) were the most abundant component of plasma metavirome. Clinically important viruses like hepatitis C virus (HCV), cytomegalovirus and human adenovirus type C were also identified. In comparison, the blood donor virome was exclusively composed of torque teno virus types (TTV) types. The performed HPgV-1 and HCV phylogeny revealed that these viruses belong to commonly detected in Brazil genotypes. Our study sheds light on the plasma viral abundance in patients with prostatic cancer. The obtained viral diversity allowed us to separate the patients and controls, probably suggesting that malignant processes may influence virome composition. More complex and multiple approach investigations are necessary to examine the likely causal relationship between metavirome and its nvolvement in prostate cancer.
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Affiliation(s)
- Dalila Luciola Zanette
- Laboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (FIOCRUZ), Professor Algacyr Munhoz Mader, Curitiba, Parana, Brazil
| | | | | | - Mateus Nobrega Aoki
- Laboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (FIOCRUZ), Professor Algacyr Munhoz Mader, Curitiba, Parana, Brazil
| | | | - Larissa Araújo Lalli
- Laboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (FIOCRUZ), Professor Algacyr Munhoz Mader, Curitiba, Parana, Brazil
| | - Rafael dos Santos Bezerra
- Blood Center of Ribeirão Preto, Faculty of Medicine of Ribeirão Preto, University of Sao Paulo, Ribeirao Preto, Sao Paulo, Brazil
| | - Marta Giovanetti
- Department of Science and Technology for Humans and the Environment, University of Campus Bio-Medico di Roma, Rome, Italy
- Laboratory of Flaviviruses, Oswaldo Cruz Foundation, Rio de Janeiro, Rio de Janeiro, Brazil
| | - Victória Simionatto Zucherato
- Blood Center of Ribeirão Preto, Faculty of Medicine of Ribeirão Preto, University of Sao Paulo, Ribeirao Preto, Sao Paulo, Brazil
| | - Gabriel Montenegro de Campos
- Blood Center of Ribeirão Preto, Faculty of Medicine of Ribeirão Preto, University of Sao Paulo, Ribeirao Preto, Sao Paulo, Brazil
| | | | | | - Massimo Ciccozzi
- Epidemiology and Statistic Unit, University of Campus Bio-Medico di Roma, Rome, Italy
| | | | | | | | - Simone Kashima
- Blood Center of Ribeirão Preto, Faculty of Medicine of Ribeirão Preto, University of Sao Paulo, Ribeirao Preto, Sao Paulo, Brazil
| | - Dimas Tadeu Covas
- Butantan Institute, São Paulo, São Paulo, Brazil
- Blood Center of Ribeirão Preto, Faculty of Medicine of Ribeirão Preto, University of Sao Paulo, Ribeirao Preto, Sao Paulo, Brazil
| | - Svetoslav Nanev Slavov
- Butantan Institute, São Paulo, São Paulo, Brazil
- Blood Center of Ribeirão Preto, Faculty of Medicine of Ribeirão Preto, University of Sao Paulo, Ribeirao Preto, Sao Paulo, Brazil
- CONTACT Svetoslav Nanev Slavov Laboratory of Bioinformatics, Department of Biotechnology (NuCeL), Butantan Institute in Ribeirao Preto, 2501 Tenente Catao Roxo Street, Ribeirao Preto, Sao Paulo14051-140, Brazil
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5
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Li W, Ma ZS. The Upper Respiratory Tract Microbiome Network Impacted by SARS-CoV-2. MICROBIAL ECOLOGY 2022:1-10. [PMID: 36509943 PMCID: PMC9744668 DOI: 10.1007/s00248-022-02148-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 11/12/2022] [Indexed: 06/17/2023]
Abstract
The microbiome of upper respiratory tract (URT) acts as a gatekeeper to respiratory health of the host. However, little is still known about the impacts of SARS-CoV-2 infection on the microbial species composition and co-occurrence correlations of the URT microbiome, especially the relationships between SARS-CoV-2 and other microbes. Here, we characterized the URT microbiome based on RNA metagenomic-sequencing datasets from 1737 nasopharyngeal samples collected from COVID-19 patients. The URT-microbiome network consisting of bacteria, archaea, and RNA viruses was built and analyzed from aspects of core/periphery species, cluster composition, and balance between positive and negative interactions. It is discovered that the URT microbiome in the COVID-19 patients is enriched with Enterobacteriaceae, a gut associated family containing many pathogens. These pathogens formed a dense cooperative guild that seemed to suppress beneficial microbes collectively. Besides bacteria and archaea, 72 eukaryotic RNA viruses were identified in the URT microbiome of COVID-19 patients. Only five of these viruses were present in more than 10% of all samples, including SARS-CoV-2 and a bat coronavirus (i.e., BatCoV BM48-31) not detected in humans by routine means. SARS-CoV-2 was inhibited by a cooperative alliance of 89 species, but seems to cooperate with BatCoV BM48-31 given their statistically significant, positive correlations. The presence of cooperative bat-coronavirus partner of SARS-CoV-2 (BatCoV BM48-31), which was previously discovered in bat but not in humans to the best of our knowledge, is puzzling and deserves further investigation given their obvious implications. Possible microbial translocation mechanism from gut to URT also deserves future studies.
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Affiliation(s)
- Wendy Li
- Computational Biology and Medical Ecology Lab, State Key Laboratory for Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- College of Biological Sciences and Technology, Taiyuan Normal University, Taiyuan, China
| | - Zhanshan Sam Ma
- Computational Biology and Medical Ecology Lab, State Key Laboratory for Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
- Kunming College of Life Sciences, University of Chinese Academy of Sciences, Kunming, China.
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Zhang Y, Zhou L, Xia J, Dong C, Luo X. Human Microbiome and Its Medical Applications. Front Mol Biosci 2022; 8:703585. [PMID: 35096962 PMCID: PMC8793671 DOI: 10.3389/fmolb.2021.703585] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 11/18/2021] [Indexed: 11/13/2022] Open
Abstract
The commensal microbiome is essential for human health and is involved in many processes in the human body, such as the metabolism process and immune system activation. Emerging evidence implies that specific changes in the microbiome participate in the development of various diseases, including diabetes, liver diseases, tumors, and pathogen infections. Thus, intervention on the microbiome is becoming a novel and effective method to treat such diseases. Synthetic biology empowers researchers to create strains with unique and complex functions, making the use of engineered microbes for clinical applications attainable. The aim of this review is to summarize recent advances about the roles of the microbiome in certain diseases and the underlying mechanisms, as well as the use of engineered microbes in the prevention, detection, and treatment of various diseases.
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Affiliation(s)
- Yangming Zhang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Linguang Zhou
- Department of Pharmacy, Peking University International Hospital, Beijing, China
| | - Jialin Xia
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Beijing, China
| | - Ce Dong
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Xiaozhou Luo
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- *Correspondence: Xiaozhou Luo,
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Hadzega D, Minarik G, Karaba M, Kalavska K, Benca J, Ciernikova S, Sedlackova T, Nemcova P, Bohac M, Pindak D, Klucar L, Mego M. Uncovering Microbial Composition in Human Breast Cancer Primary Tumour Tissue Using Transcriptomic RNA-seq. Int J Mol Sci 2021; 22:ijms22169058. [PMID: 34445764 PMCID: PMC8396677 DOI: 10.3390/ijms22169058] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 08/17/2021] [Accepted: 08/18/2021] [Indexed: 01/04/2023] Open
Abstract
Recent research studies are showing breast tissues as a place where various species of microorganisms can thrive and cannot be considered sterile, as previously thought. We analysed the microbial composition of primary tumour tissue and normal breast tissue and found differences between them and between multiple breast cancer phenotypes. We sequenced the transcriptome of breast tumours and normal tissues (from cancer-free women) of 23 individuals from Slovakia and used bioinformatics tools to uncover differences in the microbial composition of tissues. To analyse our RNA-seq data (rRNA depleted), we used and tested Kraken2 and Metaphlan3 tools. Kraken2 has shown higher reliability for our data. Additionally, we analysed 91 samples obtained from SRA database, originated in China and submitted by Sichuan University. In breast tissue, the most enriched group were Proteobacteria, then Firmicutes and Actinobacteria for both datasets, in Slovak samples also Bacteroides, while in Chinese samples Cyanobacteria were more frequent. We have observed changes in the microbiome between cancerous and healthy tissues and also different phenotypes of diseases, based on the presence of circulating tumour cells and few other markers.
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Affiliation(s)
- Dominik Hadzega
- Institute of Molecular Biology, Slovak Academy of Sciences, 845 51 Bratislava, Slovakia;
| | - Gabriel Minarik
- Institute of Molecular Biomedicine, Faculty of Medicine, Comenius University, 813 72 Bratislava, Slovakia; (G.M.); (M.M.)
| | - Marian Karaba
- Department of Oncosurgery, National Cancer Institute, 833 10 Bratislava, Slovakia; (M.K.); (J.B.); (M.B.); (D.P.)
| | - Katarina Kalavska
- Translational Research Unit, Faculty of Medicine, Comenius University and National Cancer Institute, 833 10 Bratislava, Slovakia;
| | - Juraj Benca
- Department of Oncosurgery, National Cancer Institute, 833 10 Bratislava, Slovakia; (M.K.); (J.B.); (M.B.); (D.P.)
- Department of Medicine, St. Elizabeth University, 810 00 Bratislava, Slovakia
| | - Sona Ciernikova
- Biomedical Research Center of the Slovak Academy of Sciences, Department of Genetics, Cancer Research Institute, 845 05 Bratislava, Slovakia;
| | - Tatiana Sedlackova
- Comenius University Science Park, Comenius University, 842 15 Bratislava, Slovakia;
| | | | - Martin Bohac
- Department of Oncosurgery, National Cancer Institute, 833 10 Bratislava, Slovakia; (M.K.); (J.B.); (M.B.); (D.P.)
- Translational Research Unit, Faculty of Medicine, Comenius University and National Cancer Institute, 833 10 Bratislava, Slovakia;
| | - Daniel Pindak
- Department of Oncosurgery, National Cancer Institute, 833 10 Bratislava, Slovakia; (M.K.); (J.B.); (M.B.); (D.P.)
| | - Lubos Klucar
- Institute of Molecular Biology, Slovak Academy of Sciences, 845 51 Bratislava, Slovakia;
- Correspondence:
| | - Michal Mego
- Institute of Molecular Biomedicine, Faculty of Medicine, Comenius University, 813 72 Bratislava, Slovakia; (G.M.); (M.M.)
- 2nd Department of Oncology, Faculty of Medicine, Comenius University and National Cancer Institute, 833 10 Bratislava, Slovakia
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