Microbiome composition indicate dysbiosis and lower richness in tumor breast tissues compared to healthy adjacent paired tissue, within the same women

被引:41
作者
Esposito, Maria Valeria [1 ,2 ]
Fosso, Bruno [3 ]
Nunziato, Marcella [1 ,2 ]
Casaburi, Giorgio [4 ]
D'Argenio, Valeria [1 ,2 ,5 ]
Calabrese, Alessandra [6 ]
D'Aiuto, Massimiliano [6 ,7 ]
Botti, Gerardo [8 ]
Pesole, Graziano [3 ,9 ]
Salvatore, Francesco [1 ,2 ]
机构
[1] Univ Federico II, Dept Mol Med & Med Biotechnol, Via Sergio Pansini 5, I-80131 Naples, NA, Italy
[2] CEINGE Biotecnol Avanzate, Via Gaetano Salvatore 486, I-80145 Naples, Italy
[3] CNR, Inst Biomembranes Bioenerget & Mol Biotechnol, Via Giovanni Amendola 122-O, I-70126 Bari, BA, Italy
[4] Evolve Biosyst Inc, Davis, CA 95618 USA
[5] San Raffaele Open Univ, Dept Human Sci & Qual Life Promot, Via Val Cannuta 247, I-00166 Rome, Italy
[6] Fdn Pascale, Ist Nazl Tumori IRCCS, Dept Senol, Via Mariano Semmola 53, I-80131 Naples, Italy
[7] Clin Villa Fiorita, Via Filippo Saporito 24, I-81031 Aversa, CE, Italy
[8] Fdn G Pascale, IRCCS, Ist Nazl Tumori, Sci Directorate, Via Mariano Semmola 53, I-80131 Naples, NA, Italy
[9] Univ Bari A Moro, Dept Biosci Biotechnol & Biopharmaceut, Piazza Umberto I 1, I-70121 Bari, BA, Italy
关键词
Breast cancer microbiome; Microbial dysbiosis; Breast cancer tissues; Next generation sequencing; Breast healthy tissues; Microbiome composition; cancer; healthy paired samples; 16S rRNA; TAXONOMIC ASSIGNMENT; CANCER; GENERATION; ALIGNMENT; ACCURATE; TOOLS;
D O I
10.1186/s12885-021-09074-y
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Breast cancer (BC) is the most common malignancy in women, in whom it reaches 20% of the total neoplasia incidence. Most BCs are considered sporadic and a number of factors, including familiarity, age, hormonal cycles and diet, have been reported to be BC risk factors. Also the gut microbiota plays a role in breast cancer development. In fact, its imbalance has been associated to various human diseases including cancer although a consequential cause-effect phenomenon has never been proven. Methods The aim of this work was to characterize the breast tissue microbiome in 34 women affected by BC using an NGS-based method, and analyzing the tumoral and the adjacent non-tumoral tissue of each patient. Results The healthy and tumor tissues differed in bacterial composition and richness: the number of Amplicon Sequence Variants (ASVs) was higher in healthy tissues than in tumor tissues (p = 0.001). Moreover, our analyses, able to investigate from phylum down to species taxa for each sample, revealed major differences in the two richest phyla, namely, Proteobacteria and Actinobacteria. Notably, the levels of Actinobacteria and Proteobacteria were, respectively, higher and lower in healthy with respect to tumor tissues. Conclusions Our study provides information about the breast tissue microbial composition, as compared with very closely adjacent healthy tissue (paired samples within the same woman); the differences found are such to have possible diagnostic and therapeutic implications; further studies are necessary to clarify if the differences found in the breast tissue microbiome are simply an association or a concausative pathogenetic effect in BC. A comparison of different results on similar studies seems not to assess a universal microbiome signature, but single ones depending on the environmental cohorts' locations.
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页数:11
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共 69 条
[1]   Gut Microbiota and Complications of Liver Disease [J].
Acharya, Chathur ;
Bajaj, Jasmohan S. .
GASTROENTEROLOGY CLINICS OF NORTH AMERICA, 2017, 46 (01) :155-+
[2]   Association between the microbiota and women's cancers - Cause or consequences? [J].
Alizadehmohajer, Negin ;
Shojaeifar, Samaneh ;
Nedaeinia, Reza ;
Esparvarinha, Mojgan ;
Mohammadi, Forogh ;
Ferns, Gordon A. ;
Ghayour-Mobarhan, Majid ;
Manian, Mostafa ;
Balouchi, Adele .
BIOMEDICINE & PHARMACOTHERAPY, 2020, 127
[3]   Further Steps in TANGO: improved taxonomic assignment in metagenomics [J].
Alonso-Alemany, Daniel ;
Barre, Aurelien ;
Beretta, Stefano ;
Bonizzoni, Paola ;
Nikolski, Macha ;
Valiente, Gabriel .
BIOINFORMATICS, 2014, 30 (01) :17-23
[4]   A systematic review of the international prevalence of BRCA mutation in breast cancer [J].
Armstrong, Nigel ;
Ryder, Steve ;
Forbes, Carol ;
Ross, Janine ;
Quek, Ruben G. W. .
CLINICAL EPIDEMIOLOGY, 2019, 11 :543-561
[5]   Influence of a High-Impact Multidimensional Rehabilitation Program on the Gut Microbiota of Patients with Multiple Sclerosis [J].
Barone, Monica ;
Mendozzi, Laura ;
D'Amico, Federica ;
Saresella, Marina ;
Rampelli, Simone ;
Piancone, Federica ;
La Rosa, Francesca ;
Marventano, Ivana ;
Clerici, Mario ;
D'Arma, Alessia ;
Pugnetti, Luigi ;
Rossi, Valentina ;
Candela, Marco ;
Brigidi, Patrizia ;
Turroni, Silvia .
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2021, 22 (13)
[6]   Changes in gut microbiota in the acute phase after spinal cord injury correlate with severity of the lesion [J].
Bazzocchi, Gabriele ;
Turroni, Silvia ;
Bulzamini, Maria Chiara ;
D'Amico, Federica ;
Bava, Angelica ;
Castiglioni, Mirco ;
Cagnetta, Valentina ;
Losavio, Ernesto ;
Cazzaniga, Maurizio ;
Terenghi, Laura ;
De Palma, Luisa ;
Frasca, Giuseppina ;
Aiachini, Beatrice ;
Cremascoli, Sonia ;
Massone, Antonino ;
Oggerino, Claudia ;
Onesta, Maria Pia ;
Rapisarda, Lucia ;
Pagliacci, Maria Cristina ;
Biscotto, Sauro ;
Scarazzato, Michele ;
Giovannini, Tiziana ;
Balloni, Mimosa ;
Candela, Marco ;
Brigidi, Patrizia ;
Kiekens, Carlotte .
SCIENTIFIC REPORTS, 2021, 11 (01)
[7]  
Bodai Balazs I, 2020, Perm J, V24, DOI 10.7812/TPP/19.129
[8]   Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 [J].
Bolyen, Evan ;
Rideout, Jai Ram ;
Dillon, Matthew R. ;
Bokulich, NicholasA. ;
Abnet, Christian C. ;
Al-Ghalith, Gabriel A. ;
Alexander, Harriet ;
Alm, Eric J. ;
Arumugam, Manimozhiyan ;
Asnicar, Francesco ;
Bai, Yang ;
Bisanz, Jordan E. ;
Bittinger, Kyle ;
Brejnrod, Asker ;
Brislawn, Colin J. ;
Brown, C. Titus ;
Callahan, Benjamin J. ;
Caraballo-Rodriguez, Andres Mauricio ;
Chase, John ;
Cope, Emily K. ;
Da Silva, Ricardo ;
Diener, Christian ;
Dorrestein, Pieter C. ;
Douglas, Gavin M. ;
Durall, Daniel M. ;
Duvallet, Claire ;
Edwardson, Christian F. ;
Ernst, Madeleine ;
Estaki, Mehrbod ;
Fouquier, Jennifer ;
Gauglitz, Julia M. ;
Gibbons, Sean M. ;
Gibson, Deanna L. ;
Gonzalez, Antonio ;
Gorlick, Kestrel ;
Guo, Jiarong ;
Hillmann, Benjamin ;
Holmes, Susan ;
Holste, Hannes ;
Huttenhower, Curtis ;
Huttley, Gavin A. ;
Janssen, Stefan ;
Jarmusch, Alan K. ;
Jiang, Lingjing ;
Kaehler, Benjamin D. ;
Bin Kang, Kyo ;
Keefe, Christopher R. ;
Keim, Paul ;
Kelley, Scott T. ;
Knights, Dan .
NATURE BIOTECHNOLOGY, 2019, 37 (08) :852-857
[9]  
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
[10]   Variance adjusted weighted UniFrac: a powerful beta diversity measure for comparing communities based on phylogeny [J].
Chang, Qin ;
Luan, Yihui ;
Sun, Fengzhu .
BMC BIOINFORMATICS, 2011, 12