Comparative Analysis of Colon Cancer-Derived Fusobacterium nucleatum Subspecies: Inflammation and Colon Tumorigenesis in Murine Models

Queen, Jessica; Domingue, Jada C.; White, James R.; Stevens, Courtney; Udayasuryan, Barath; Nguyen, Tam T.D.; Wu, Shaoguang; Ding, Hua; Fan, Hongni; McMann, Madison; Corona, Alina; Larman, Tatianna; Verbridge, Scott S.; Housseau, Franck; Slade, Daniel J.; Drewes, Julia L.; Sears, Cynthia L.

doi:10.1128/mbio.02991-21

Cited by 30 publications

(22 citation statements)

References 62 publications

(89 reference statements)

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“…Also, the species Hungatella hathewayi WAL-18680 is a common cancer-associated biomarker ( Wu et al, 2021 ). Fusobacterium nucleatum is commonly associated with CRC, and found to promote tumor development by inducing several immune responses including inflammation ( Wu J. et al, 2019 ; Queen et al, 2022 ). Rikenellaceae RC9 gut group was suggested as a potential biomarker of CRC from gut microbiota profiles in mice ( Shao et al, 2022 ).…”

Section: Resultsmentioning

confidence: 99%

Combining p-values from various statistical methods for microbiome data

Ham

Park²

2022

Front. Microbiol.

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MotivationIn the field of microbiome analysis, there exist various statistical methods that have been developed for identifying differentially expressed features, that account for the overdispersion and the high sparsity of microbiome data. However, due to the differences in statistical models or test formulations, it is quite often to have inconsistent significance results across statistical methods, that makes it difficult to determine the importance of microbiome taxa. Thus, it is practically important to have the integration of the result from all statistical methods to determine the importance of microbiome taxa. A standard meta-analysis is a powerful tool for integrative analysis and it provides a summary measure by combining p-values from various statistical methods. While there are many meta-analyses available, it is not easy to choose the best meta-analysis that is the most suitable for microbiome data.ResultsIn this study, we investigated which meta-analysis method most adequately represents the importance of microbiome taxa. We considered Fisher’s method, minimum value of p method, Simes method, Stouffer’s method, Kost method, and Cauchy combination test. Through simulation studies, we showed that Cauchy combination test provides the best combined value of p in the sense that it performed the best among the examined methods while controlling the type 1 error rates. Furthermore, it produced high rank similarity with the true ranks. Through the real data application of colorectal cancer microbiome data, we demonstrated that the most highly ranked microbiome taxa by Cauchy combination test have been reported to be associated with colorectal cancer.

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Section: Resultsmentioning

confidence: 99%

Combining p-values from various statistical methods for microbiome data

Ham

Park²

2022

Front. Microbiol.

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“…Combined, P. gingivalis and F. nucleatum promote tumour progression in mice [33]. It should however be noted that mice may not provide a good model for bacteria-mediated tumour initiation, illustrated by difficulties in achieving stable colonisation of mouse gastrointestinal tract by fusobacteria harvested from human colon cancers, with low in-vivo inflammation compared to higher cytokine production in human colon cancer cell lines [35]. In addition, F. nucleatum is now recognized to be comprised of four distinct subspecies and to be highly genetically variable.…”

Section: The Microbiota and Hn-scc: Cause Or Effect?mentioning

confidence: 99%

The microbiota and radiotherapy for head and neck cancer: What should clinical oncologists know?

Ferreira¹,

Pastò²,

Ng³

et al. 2022

Cancer Treatment Reviews

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“…To determine whether Fn can induce the transition from normal mucosa to adenoma, we need to assess the ability of Fn to colonize the gut. Fn can’t stably colonize the gut of specific-pathogen-free (SPF) mice raised conventionally, even with repeated inoculations ( Queen et al., 2022 ). However, Fn is able to colonize the gut of germ-free (GF) mice for a long time after oral administration.…”

Section: Ability Of Fn To Colonize Normal Gutmentioning

confidence: 99%

Fusobacterium nucleatum and colorectal cancer: From phenomenon to mechanism

Wang

Tao

et al. 2022

Front. Cell. Infect. Microbiol.

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Colorectal cancer(CRC) is the third most frequent malignant tumor. The gut microbiome acts as a vital component of CRC etiology. Fusobacterium nucleatum(Fn) is a key member of colorectal cancer-associated bacteria. But we lack a systematic and in-depth understanding on its role in CRC evolution. In this article, We reviewed the abundance changes and distribution of Fn in CRC occurrence and development, potential effect of Fn in the initiation of CRC, the source of intratumoral Fn and the cause of its tropism to CRC. In addition, We described the mechanism by which Fn promotes the malignant biological behavior of CRC, affects CRC response to therapy, and shapes the tumor immune microenvironment in great detail. Based on the relationship between Fn and CRC, we proposed strategies for CRC prevention and treatment, and discussed the feasibility and limitations of specific cases, to gain insights into further basic and clinical research in the future.

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Comparative Analysis of Colon Cancer-Derived Fusobacterium nucleatum Subspecies: Inflammation and Colon Tumorigenesis in Murine Models

Cited by 30 publications

References 62 publications

Combining p-values from various statistical methods for microbiome data

Combining p-values from various statistical methods for microbiome data

The microbiota and radiotherapy for head and neck cancer: What should clinical oncologists know?

Fusobacterium nucleatum and colorectal cancer: From phenomenon to mechanism

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