Literature DB >> 31648984

Faecal microbiota transplantation, a promising way to treat colorectal cancer.

Yanru Ma1, Haoyan Chen2.   

Abstract

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Year:  2019        PMID: 31648984      PMCID: PMC6945199          DOI: 10.1016/j.ebiom.2019.10.015

Source DB:  PubMed          Journal:  EBioMedicine        ISSN: 2352-3964            Impact factor:   8.143


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Colorectal cancer is the fourth most common morbidity worldwide and the second most common among women [1]. This disease is caused by both genetic and environmental factors, such as high-fat diet and disrupted gut microbiota [2]. Despite great advances in cancer treatment options, drug resistance and insensitivity to treatment in patients with colorectal cancer necessitate the development of effective therapeutic alternatives. In addition, an increasing number of studies have shown that the gut microbiota plays a key role in the incidence and progression of colorectal cancer. In EBioMedicine, Li and colleagues [3] showed that faecal microbiota transplantation (FMT) with faeces of patients with colorectal cancer accelerates the progression of adenoma to adenocarcinoma could cause chronic inflammation and disturb the ecological balance of the mice's gut microbiota. This study is of great importance because, although a previous study [4] showed that gavage of faecal samples from patients with colorectal cancer promoted the intestinal carcinogenesis in both germ-free and control mice, the effect of gut microbiota on Apcmin/+ mice had not been investigated. Furthermore, given the fact that adenomas with epithelial dysplasia are often considered as a benign precursor of neoplasms [5], it is necessary to explore the factors influencing the progression of adenoma to adenocarcinoma. The gut microbiota can digest complex dietary residues that are resistant to digestion by enteric enzymes. This process can not only provide energy for the microbiota but also result in the release of short-chain fatty acids (SCFAs), including butyrate, which could be used for metabolic needs by the colonocytes, maintain mucosal integrity, and suppress inflammation and carcinogenesis [6]. Analysing the faecal supernatant of patients with colorectal cancer, Li and colleagues [3] found that the relative abundance of Roseburia spp and Clostridium spp was lower than that in the faecal supernatant of healthy patients, consistent with Wang and colleagues’ findings [7], whereas the relative abundance of Akkermansia spp and Ruminococcus spp was higher, consistent with Weir and colleagues’ results [8]. Similarly, the number of pathogenic bacteria increased after FMT, whereas the number of bacteria secreting SCFAs (such as Ruminococcus spp, Roseburia spp, and Clostridium cluster XlVa spp) and the production of SCFAs in the caecum decreased, which could be one of the reasons for the destruction of intestinal mucosal barrier and the occurrence of chronic inflammation in Apcmin/+ mice after transplantation. To further understand the molecular mechanisms induced by FMT, Li and colleagues [3] conducted further tests and showed that the gut microbiota from patients with colorectal cancer could activate the Wnt signaling pathway. This pathway is classified into canonical (β‐catenin dependent) and non‐canonical (β‐catenin independent) [9]. Consistent with Li and colleagues’ results [3], Jiang and colleagues [10] also showed that the canonical Wnt pathway played an essential role in different stages of tumour development. The study from Li and colleagues provides direct evidence that gut microbiota from patients with colorectal cancer can increase tumour proliferation, which is of great relevance and far-reaching influence for future studies of colorectal cancer. However, outstanding questions require further investigations. For example, the gut microbiota from the faeces of patients with colorectal cancer could be further sub-classified and analysed to assess the role played by each microbial strain and its metabolites in promoting the progression of adenoma to adenocarcinoma. From a clinical point of view, although the translational from in vitro testing to clinical use may take some time, Li and colleagues’ finding [3] suggest that targeted treatment of the gut microbiota could be a promising strategy for patients with colorectal cancer.
  10 in total

1.  A gnotobiotic mouse model demonstrates that dietary fiber protects against colorectal tumorigenesis in a microbiota- and butyrate-dependent manner.

Authors:  Dallas R Donohoe; Darcy Holley; Leonard B Collins; Stephanie A Montgomery; Alan C Whitmore; Andrew Hillhouse; Kaitlin P Curry; Sarah W Renner; Alicia Greenwalt; Elizabeth P Ryan; Virginia Godfrey; Mark T Heise; Deborah S Threadgill; Anna Han; James A Swenberg; David W Threadgill; Scott J Bultman
Journal:  Cancer Discov       Date:  2014-09-29       Impact factor: 39.397

2.  Complex patterns of altered MicroRNA expression during the adenoma-adenocarcinoma sequence for microsatellite-stable colorectal cancer.

Authors:  Angela N Bartley; Hui Yao; Bedia A Barkoh; Cristina Ivan; Bal M Mishra; Asif Rashid; George A Calin; Rajyalakshmi Luthra; Stanley R Hamilton
Journal:  Clin Cancer Res       Date:  2011-09-23       Impact factor: 12.531

3.  Gavage of Fecal Samples From Patients With Colorectal Cancer Promotes Intestinal Carcinogenesis in Germ-Free and Conventional Mice.

Authors:  Sunny H Wong; Liuyang Zhao; Xiang Zhang; Geicho Nakatsu; Juqiang Han; Weiqi Xu; Xue Xiao; Thomas N Y Kwong; Ho Tsoi; William K K Wu; Benhua Zeng; Francis K L Chan; Joseph J Y Sung; Hong Wei; Jun Yu
Journal:  Gastroenterology       Date:  2017-08-18       Impact factor: 22.682

4.  Structural segregation of gut microbiota between colorectal cancer patients and healthy volunteers.

Authors:  Tingting Wang; Guoxiang Cai; Yunping Qiu; Na Fei; Menghui Zhang; Xiaoyan Pang; Wei Jia; Sanjun Cai; Liping Zhao
Journal:  ISME J       Date:  2011-08-18       Impact factor: 10.302

Review 5.  Hippocampal Wnt Signaling: Memory Regulation and Hormone Interactions.

Authors:  Ashley M Fortress; Karyn M Frick
Journal:  Neuroscientist       Date:  2015-02-25       Impact factor: 7.519

Review 6.  Obesity and colorectal cancer.

Authors:  Marc Bardou; Alan N Barkun; Myriam Martel
Journal:  Gut       Date:  2013-03-12       Impact factor: 23.059

7.  MicroRNA-100 suppresses the migration and invasion of breast cancer cells by targeting FZD-8 and inhibiting Wnt/β-catenin signaling pathway.

Authors:  Qian Jiang; Miao He; Shu Guan; Mengtao Ma; Huizhe Wu; Zhaojin Yu; Longyang Jiang; Yan Wang; Xingyue Zong; Feng Jin; Minjie Wei
Journal:  Tumour Biol       Date:  2015-11-04

8.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

9.  Gut microbiota from colorectal cancer patients enhances the progression of intestinal adenoma in Apcmin/+ mice.

Authors:  Lu Li; Xiaofei Li; Weilong Zhong; Min Yang; Mengque Xu; Yue Sun; Jiaheng Ma; Tianyu Liu; Xueli Song; Wenxiao Dong; Xiang Liu; Yange Chen; Yi Liu; Zaripa Abla; Wentian Liu; Bangmao Wang; Kui Jiang; Hailong Cao
Journal:  EBioMedicine       Date:  2019-10-05       Impact factor: 8.143

10.  Stool microbiome and metabolome differences between colorectal cancer patients and healthy adults.

Authors:  Tiffany L Weir; Daniel K Manter; Amy M Sheflin; Brittany A Barnett; Adam L Heuberger; Elizabeth P Ryan
Journal:  PLoS One       Date:  2013-08-06       Impact factor: 3.240

  10 in total
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Authors:  Elena L Paley
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2.  Anti-obesity effects of Chenpi: an artificial gastrointestinal system study.

Authors:  Maria Falduto; Francesco Smedile; Man Zhang; Ting Zheng; Jieyu Zhu; Qingrong Huang; Richard Weeks; Alexey M Ermakov; Michael L Chikindas
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Review 3.  Global research trends and hotspots of fecal microbiota transplantation: A bibliometric and visualization study.

Authors:  Mancai Wang; Xiaofeng Xie; Songbo Zhao; Wei Han; Youcheng Zhang
Journal:  Front Microbiol       Date:  2022-08-18       Impact factor: 6.064

  3 in total

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