The human tumor microbiome is composed of tumor type–specific intracellular bacteria

Nejman, Deborah; Livyatan, Ilana; Fuks, Garold; Gavert, Nancy; Zwang, Yaara; Geller, Leore T.; Rotter-Maskowitz, Aviva; Weiser, Roi; Mallel, Giuseppe; Gigi, Elinor; Meltser, Arnon; Douglas, Gavin M.; Kamer, Iris; Gopalakrishnan, Vancheswaran; Dadosh, Tali; Levin-Zaidman, Smadar; Avnet, Sofia; Atlan, Tehila; Cooper, Zachary A.; Arora, Reetakshi; Cogdill, Alexandria P.; Khan, Abdul Wadud; Ologun, Gabriel O; Bussi, Yuval; Weinberger, Adina; Lotan-Pompan, Maya; Golani, Ofra; Perry, Gili; Rokah, Merav; Bahar‐Shany, Keren; Rozeman, Elisa A.; Blank, Christian U.; Ronai, Anat; Shaoul, Ron; Agarwal, Amit; Dorfman, Tatiana; Kremer, Ran; Cohen, Zvi; Harnof, Sagi; Siegal, Tali; Yehuda‐Shnaidman, Einav; Gal‐Yam, Einav Nili; Shapira, Hagit; Baldini, Nicola; Langille, Morgan G. I.; Ben‐Nun, Alon; Kaufman, Bella; Nissan, Aviram; Golan, Talia; Dadiani, Maya; Levanon, Keren; Bar, Jair; Yust‐Katz, Shlomit; Barshack, Iris; Peeper, Daniel S.; Raz, Dan J.; Segal, Eran; Wargo, Jennifer A.; Sandbank, Judith; Shental, Noam; Straussman, Ravid

doi:10.1126/science.aay9189

Cited by 1,431 publications

(1,631 citation statements)

References 75 publications

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Section: Epidemiology Of Sarcomamentioning

confidence: 99%

“…Moreover, the sarcoma TME may contain a specific microbiome (Nejman et al , 2020): A recent study described that bacterial DNA can be found in most CHSs. Bacteria were mostly intracellular and were detectable in immune and tumor cells (Nejman et al , 2020). Interestingly, metabolic functions related to intratumoral bacteria appeared tumor type‐specific; that is, degradation of hydroxyprolines by bacteria was enriched in CHSs (Nejman et al , 2020).…”

Section: Epidemiology Of Sarcomamentioning

confidence: 99%

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Sarcoma treatment in the era of molecular medicine

et al. 2020

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Sarcomas are heterogeneous and clinically challenging soft tissue and bone cancers. Although constituting only 1% of all human malignancies, sarcomas represent the second most common type of solid tumors in children and adolescents and comprise an important group of secondary malignancies. More than 100 histological subtypes have been characterized to date, and many more are being discovered due to molecular profiling. Owing to their mostly aggressive biological behavior, relative rarity, and occurrence at virtually every anatomical site, many sarcoma subtypes are in particular difficult‐to‐treat categories. Current multimodal treatment concepts combine surgery, polychemotherapy (with/without local hyperthermia), irradiation, immunotherapy, and/or targeted therapeutics. Recent scientific advancements have enabled a more precise molecular characterization of sarcoma subtypes and revealed novel therapeutic targets and prognostic/predictive biomarkers. This review aims at providing a comprehensive overview of the latest advances in the molecular biology of sarcomas and their effects on clinical oncology; it is meant for a broad readership ranging from novices to experts in the field of sarcoma.

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Section: Epidemiology Of Sarcomamentioning

confidence: 99%

Section: Epidemiology Of Sarcomamentioning

confidence: 99%

Sarcoma treatment in the era of molecular medicine

et al. 2020

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“…A recent comprehensive investigation of microbiomes across seven cancer types (not yet including ESCC) indicates that intracellular bacteria are widespread in tumors [39]. Particularly, 19 prevalent bacteria are characterized [39], including genera of streptococcus and fusobacterium, which are found in our ESCC microbiota. It is not clear whether the enriched bacterial species or genera identi ed in our study can reside in ESCC to facilitate the microenvironment to boost cancer growth.…”

Section: Discussionmentioning

confidence: 99%

“…Treponema amylovorum is a subgingival plaque bacteria species involved in chronic periodontitis [37]. Streptococcus infantis is a part of the salivary microbiome [38]and a prevalent bacteria in breast cancer [39]. Aggregatibacter segnis is an oral bacterial species in oral cancer [40].…”

Section: Discussionmentioning

confidence: 99%

Tumor-Asociated Microbiota in Esophageal Squamous Cell Carcinoma

Yang

Chen

Jia

et al. 2020

Preprint

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Background: Human intestinal tract microbiome dysbiosis plays an emerging pivotal role in tumorigenesis of gastrointestinal tract cancers. For esophageal squamous cell carcinoma (ESCC), the esophageal microbiota plays a critical role during the pathogenesis. The microbiome of esophageal can impact its host decades before the onset of ESCC, and can interact with the host’s physiological situation, which are affected by lifestyle factors, including diet, obesity, alcohol and tobacco use, and oral hygiene.Our objective is to analyze the composition of the ESCC-associated microbiota and characterize its contribution to the development of ESCC. The esophageal microbiota was prospectively investigated in 18 patients with ESCC and 11 patients with physiological normal (PN) esophagus by 16S rRNA gene profiling, using next-generation sequencing. Results: The microbiota composition in tumor tissues of ESCC patients is significantly different from that of patients with PN tissues. The ESCC microbiota was characterized by reduced microbial diversity, by decreased abundance of Bacteroidetes, Fusobacteria and Spirochactes. Employing these taxa into a microbial dysbiosis index demonstrated that dysbiosis microbiota had good capacity to discriminate between ESCC and PN esophagus. Functional analysis of the microbiota characterized that ESCC microbiota had altered nitrate reductase and nitrite reductase functions when compared with PN group. The observations were confirmed in other validation cohorts.Conclusions: Detailed analysis of the microbiota of the ESCC patients revealed that tumor exhibit a dysbiotic microbial community when compared with PN groups. We characterized microbial compositional changes, and further identified significant enrichments of Treponema amylovorum, Streptococcus infantis, Prevotella nigrescens, Porphyromonas endodontalis, Veillonella dispar, Aggregatibacter segnis, Prevotella melaninogenica, Prevotella intermedia, Prevotella tannerae, Prevotella nanceiensis and Streptococcus anginosus in ESCC oncogenic progression.Trial registration number: This study was registered at the Chinese Clinical Trial Registry (ChiCTR1800018897). http://www.chictr.org.cn/.

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“…The integrated analysis with the three models allows us to present a relatively complete and reliable 'picture' of the process (mechanism) underlying the tissue microbiome distribution and dispersal patterns. In perspective, our study, if successful, is likely to offer important insights for investigating the relationship between breast tumor development and breast tissue microbiomes (Nejman et al 2020;Poore et al 2020). Urbaniak et al (2016) collected samples from women following lumpectomies or mastectomies and from healthy individuals.…”

Section: Introductionmentioning

confidence: 99%

A theoretic approach to the breast tissue microbiomes under tumor influences with near-neutral, neutral and niche-neutral hybrid models

Sam

2020

Preprint

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Background: The structure and dynamics of breast tissue microbiomes can have far-reaching influences on women’s health, particularly on breast tumor development. However, there is currently little understanding on the ecological processes that shape the structure and dynamics of breast tissue microbiomes.Methods: Here we fill the gap by applying three metacommunity models for investigating the community assembly and diversity maintenance, including Sloan near neutral model, Harris et al. multisite neutral and Tang & Zhou niche-neutral hybrid models to reanalyze the 16s-rRNA sequencing datasets of 23 healthy, 12 benign tumor, and 33 malignant tumor tissue samples. To remedy the practical difficulty in collecting tissue microbiome samples, we adopted a sophisticated random re-sampling (up to 1000 times) scheme in applying the three metacommunity models for analyzing the patterns in the breast tissue microbiomes. Results: First, we found that, at the community/metacommunity levels, the mechanisms of microbiome assembly and diversity maintenance of breast tissue microbiomes were predominantly driven by stochastic drifts of bacteria demography (division, death and dispersal of bacterial cells), whereas the deterministic selection forces such as tumor progression were insignificant. However, at species level, on average, approximately 10% and 5% species were above (positively-selected) and below (negatively-selected) neutral, respectively. Furthermore, malignant tumor may raise the positively selected species up to 17%. Second, malignant tumor appears to inhibit microbial dispersal as evidenced by lowered migration rates, compared with the migration in normal and benign tumor tissues.Conclusions: The mechanisms of microbiome assembly and diversity maintenance of breast tissue microbiomes were predominantly driven by stochastic drifts, and malignant tumor may inhibit microbial dispersal. These theoretic findings can be inspirational for further investigating the relationships between tissue microbiomes and breast tumor progression/development.

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The human tumor microbiome is composed of tumor type–specific intracellular bacteria

Cited by 1,431 publications

References 75 publications

Sarcoma treatment in the era of molecular medicine

Sarcoma treatment in the era of molecular medicine

Tumor-Asociated Microbiota in Esophageal Squamous Cell Carcinoma

A theoretic approach to the breast tissue microbiomes under tumor influences with near-neutral, neutral and niche-neutral hybrid models

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