Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5702314 | Surgical Oncology | 2017 | 37 Pages |
Abstract
More than 100 trillion microorganisms inhabit the human intestinal tract and play important roles in health conditions and diseases, including cancer. Accumulating evidence demonstrates that specific bacteria and bacterial dysbiosis in the gastrointestinal tract can potentiate the development and progression of gastrointestinal tract neoplasms by damaging DNA, activating oncogenic signaling pathways, producing tumor-promoting metabolites such as secondary bile acids, and suppressing antitumor immunity. Other bacterial species have been shown to produce short-chain fatty acids such as butyrate, which can suppress inflammation and carcinogenesis in the gastrointestinal tract. Consistent with these lines of evidence, clinical studies using metagenomic analyses have shown associations of specific bacteria and bacterial dysbiosis with gastrointestinal tract cancers, including esophageal, gastric, and colorectal cancers. Emerging data demonstrate that intestinal bacteria can modulate the efficacy of cancer chemotherapies and novel targeted immunotherapies such as anti-CTLA4 and anti-CD274 therapies, the process of absorption, and the occurrence of complications after gastrointestinal surgery. A better understanding of the mechanisms by which the gut microbiota influence tumor development and progression in the intestine would provide opportunities to develop new prevention and treatment strategies for patients with gastrointestinal tract cancers by targeting the intestinal microflora.
Keywords
NODVacuolating cytotoxin AGastrointestinal carcinomaNLRP6cagATIGITRYGBCIMPVacANLRESCCEACTLRPRRMSICpG island methylator phenotypeROSRoux-en-Y gastric bypassEsophageal adenocarcinomaMicrosatellite instabilityToll-like receptornucleotide-binding oligomerization domainTumor locationMicroorganismcytotoxin-associated gene AEsophageal squamous cell carcinomaReactive oxygen speciesNod-like receptorPRR, Pattern recognition receptor
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Authors
Kosuke Mima, Shuji Ogino, Shigeki Nakagawa, Hiroshi Sawayama, Koichi Kinoshita, Ryuichi Krashima, Takatsugu Ishimoto, Katsunori Imai, Masaaki Iwatsuki, Daisuke Hashimoto, Yoshifumi Baba, Yasuo Sakamoto, Yo-ichi Yamashita, Naoya Yoshida, Akira Chikamoto,