| Citation: |
YIN Zhihong, ZHANG Chenyan, HUANG Hairong. Composition Spectrum of Oral Microbiota Diversity in Patients with Pancreatic Cancer: A Systematic Review[J]. Cancer Research on Prevention and Treatment, 2024, 51(2): 104-109. DOI: 10.3971/j.issn.1000-8578.2024.23.0959
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To systematically evaluate the diversity of oral flora in patients with pancreatic cancer.
A cross-sectional study was conducted, focusing on the oral flora diversity profiles of patients with pancreatic cancer. The studies were retrieved from PubMed, Web of science, EMbase, The Cochrane Library, CBM, CNKI, Wanfang, and VIP databases, and the search period was from the establishment of the database to July 15, 2023. According to the inclusion and exclusion criteria, two researchers screened intensive review literature, extracted data and information, and carried out Meta-analysis using qualitative systematic review and Review Manager 5.4.
Seven cross-sectional studies were reviewed, including 187 patients with pancreatic cancer and 440 healthy controls. The results of meta-analysis showed that the oral microbiota diversity Simpson index of patients with pancreatic cancer was reduced compared with that of healthy controls. Qualitative analysis showed that the relative abundance of Firmicute, Prevotella, Roseburia, and Streptococcus in patients with pancreatic cancer was higher than that in healthy people. The relative abundance of Proteobacteria, Neisseria, Haemophilus, porphyromonas, and Haemophilus parainfluenza in patients with pancreatic cancer was lower than that in healthy people.
Patients with pancreatic cancer have distinct oral flora, which has high relative abundance of Firmicutes, Prevotella etc. and low relative abundance of Proteobacteria, Neisseria, etc.
Competing interests: The authors declare that they have no competing interests.
| [1] |
Cai J, Chen H, Lu M, et al. Advances in the epidemiology of pancreatic cancer: Trends, risk factors, screening, and prognosis[J]. Cancer Lett, 2021, 520: 1-11. doi: 10.1016/j.canlet.2021.06.027
|
| [2] |
Huang B, Huang H, Zhang S, et al. Artificial intelligence in pancreatic cancer[J]. Theranostics, 2022, 12(16): 6931-6954. doi: 10.7150/thno.77949
|
| [3] |
Klein AP. Pancreatic cancer epidemiology: understanding the role of lifestyle and inherited risk factors[J]. Nat Rev Gastroenterol Hepatol, 2021, 18(7): 493-502. doi: 10.1038/s41575-021-00457-x
|
| [4] |
李博磊, 程磊, 周学东, 等. 口腔微生物与消化系统疾病关系的研究进展[J]. 华西口腔医学杂志, 2018, 36(3): 331-335. https://www.cnki.com.cn/Article/CJFDTOTAL-HXKQ201803024.htm
Li BL, Cheng L, Zhou XD, et al. Research progress on the relationship between oral microbes and digestive system diseases[J]. Huaxi Kou Qiang Yi Xue Za Zhi, 2018, 36(3): 331-335. https://www.cnki.com.cn/Article/CJFDTOTAL-HXKQ201803024.htm
|
| [5] |
Le Bars P, Matamoros S, Montassier E, et al. The oral cavity microbiota: between health, oral disease, and cancers of the aerodigestive tract[J]. Can J Microbiol, 2017, 63(6): 475-492. doi: 10.1139/cjm-2016-0603
|
| [6] |
Dong J, Li Y, Xiao H, et al. Oral microbiota affects the efficacy and prognosis of radiotherapy for colorectal cancer in mouse models[J]. Cell Rep, 2021, 37(4): 109886. doi: 10.1016/j.celrep.2021.109886
|
| [7] |
Lv J, Guo L, Liu JJ, et al. Alteration of the esophageal microbiota in Barrett's esophagus and esophageal adenocarcinoma[J]. World J Gastroenterol, 2019, 25(18): 2149-2161. doi: 10.3748/wjg.v25.i18.2149
|
| [8] |
Vogtmann E, Han Y, Caporaso JG, et al. Oral microbial community composition is associated with pancreatic cancer: A case-control study in Iran[J]. Cancer Med, 2020, 9(2): 797-806. doi: 10.1002/cam4.2660
|
| [9] |
陈恬. 基于微生物组学的胰腺癌患者口腔及肠道菌群研究[D]. 上海: 中国人民解放军海军军医大学, 2020.
Chen T. Oral and gut microbiota in a Chinese pancreatic cancer cohort: a microbiome research[D]. Shanghai: Naval Medical University, 2020.
|
| [10] |
Farrell JJ, Zhang L, Zhou H, et al. Variations of oral microbiota are associated with pancreatic diseases including pancreatic cancer[J]. Gut, 2012, 61(4): 582-588. doi: 10.1136/gutjnl-2011-300784
|
| [11] |
Nagata N, Nishijima S, Kojima Y, et al. Metagenomic Identification of Microbial Signatures Predicting Pancreatic Cancer From a Multinational Study[J]. Gastroenterology, 2022, 163(1): 222-238. doi: 10.1053/j.gastro.2022.03.054
|
| [12] |
Olsen I, Taubman MA, Singhrao SK. Porphyromonas gingivalis suppresses adaptive immunity in periodontitis, atherosclerosis, and Alzheimer's disease[J]. J Oral Microbiol, 2016, 8: 33029. doi: 10.3402/jom.v8.33029
|
| [13] |
Sun H, Zhao X, Zhou Y, et al. Characterization of Oral Microbiome and Exploration of Potential Biomarkers in Patients with Pancreatic Cancer[J]. Biomed Res Int, 2020, 2020: 4712498.
|
| [14] |
Torres PJ, Fletcher EM, Gibbons SM, et al. Characterization of the salivary microbiome in patients with pancreatic cancer[J]. Peer J, 2015, 3: e1373. doi: 10.7717/peerj.1373
|
| [15] |
Wei AL, Li M, Li GQ, et al. Oral microbiome and pancreatic cancer[J]. World J Gastroenterol, 2020, 26(48): 7679-7692. doi: 10.3748/wjg.v26.i48.7679
|
| [16] |
许晴, 张放, 许中旗, 等. Simpson指数和Shannon-Wiener指数若干特征的分析及"稀释效应"[J]. 草业科学, 2011, 28(4): 527-531. doi: 10.3969/j.issn.1001-0629.2011.04.001
Xu Q, Zhang F, Xu ZQ, et al. Some characteristics of Simpson index and the Shannon-Wiener index and their dilution effect[J]. Cao Ye Ke Xue, 2011, 28(4): 527-531. doi: 10.3969/j.issn.1001-0629.2011.04.001
|
| [17] |
Dong S, Li W, Li X, et al. Glucose metabolism and tumour microenvironment in pancreatic cancer: A key link in cancer progression[J]. Front Immunol, 2022, 13: 1038650. doi: 10.3389/fimmu.2022.1038650
|
| [18] |
谢扬帆, 曹玲敏, 汪雪媛, 等. 中国胰腺癌患者肠道菌群多样性组成谱的系统评价[J]. 中国循证医学杂志, 2023, 23(2): 186-190. https://www.cnki.com.cn/Article/CJFDTOTAL-ZZXZ202302009.htm
Xie YF, Chao LM, Wang XY, et al. The composition spectrum of intestinal bacterial diversity in Chinese pancreatic cancer patients: a systematic review[J]. Zhongguo Xun Zheng Yi Xue Za Zhi, 2023, 23(2): 186-190. https://www.cnki.com.cn/Article/CJFDTOTAL-ZZXZ202302009.htm
|
| [19] |
Tett A, Pasolli E, Masetti G, et al. Prevotella diversity, niches and interactions with the human host[J]. Nat Rev Microbiol, 2021, 19(9): 585-599. doi: 10.1038/s41579-021-00559-y
|
| [20] |
Liu G, Tang CM, Exley RM. Non-pathogenic Neisseria: members of an abundant, multi-habitat, diverse genus[J]. Microbiology (Reading), 2015, 161(7): 1297-1312. doi: 10.1099/mic.0.000086
|
| [21] |
Memba R, Duggan SN, Ni Chonchubhair HM, et al. The potential role of gut microbiota in pancreatic disease: A systematic review[J]. Pancreatology, 2017, 17(6): 867-874. doi: 10.1016/j.pan.2017.09.002
|
| [22] |
Joyce LR, Guan Z, Palmer KL. Streptococcus pneumoniae, S. pyogenes and S. agalactiae membrane phospholipid remodelling in response to human serum[J]. Microbiology (Reading), 2021, 167(5): 001048.
|
| [23] |
Yang J, Ma Y, Tan Q, et al. Gut Streptococcus is a microbial marker for the occurrence and liver metastasis of pancreatic cancer[J]. Front Microbiol, 2023, 14: 1184869. doi: 10.3389/fmicb.2023.1184869
|
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