The microbial composition of pancreatic ductal adenocarcinoma: A systematic review of 16S rRNA gene sequencing

微生物群 扩增子测序 计算生物学 医学 生物信息学 基因组 胰腺癌 生物 16S核糖体RNA 癌症 基因 遗传学 内科学
作者
Nabeel Merali,Tarak Chouari,Casie Sweeney,James Halle‐Smith,Jessel Maria-Danae,Bing Wang,James O Brien,Bhavik Anil Patel,Satoshi Suyama,José I. Jiménez,Keith Roberts,Eirini Velliou,Shivan Sivakumar,Timothy Rockall,Ayşe Demirkan,Virginia A. Pedicord,Dongmei Deng,Elisa Giovannetti,Nicola E. Annels,Adam E. Frampton
出处
期刊:International Journal of Surgery [Elsevier]
被引量:1
标识
DOI:10.1097/js9.0000000000001762
摘要

Background: Pancreatic cancer, specifically pancreatic ductal adenocarcinoma (PDAC), continues to pose a significant clinical and scientific challenge. The most significant finding of recent years is that PDAC tumours harbour their specific microbiome, which differs amongst tumour entities and is distinct from healthy tissue. This review aims to evaluate and summarise all PDAC studies that have used the next-generation technique, 16S rRNA gene amplicon sequencing within each bodily compartment. As well as establishing a causal relationship between PDAC and the microbiome. Materials and Methods: This systematic review was carried out according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. A comprehensive search strategy was designed, and 1727 studies were analysed. Results: In total, 38 studies were selected for qualitative analysis and summarised significant PDAC bacterial signatures. Despite the growing amount of data provided, we are not able to state a universal 16S rRNA gene microbial signature that can be used for PDAC screening. This is most certainly due to the heterogeneity of the presentation of results, lack of available datasets and the intrinsic selection bias between studies. Conclusion: Several key studies have begun to shed light on causality and the influence the microbiome constituents and their produced metabolites could play in tumorigenesis and influencing outcomes. The challenge in this field is to shape the available microbial data into targetable signatures. Making sequenced data readily available is critical, coupled with the coordinated standardisation of data and the need for consensus guidelines in studies investigating the microbiome in PDAC.
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