Metagenomic analysis unveils the microbial landscape of pancreatic tumors.
Metagenomic analysis unveils the microbial landscape of pancreatic tumors.
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DOI：
10.3389/fmicb.2023.1275374
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发表时间：
2023
影响因子：
5.2
通讯作者：
中科院分区：
文献类型：
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作者：
人体内常驻微生物的组成与各种疾病及其治疗结果有关。尽管研究已经在口腔和肠道样品中鉴定了胰腺导管腺癌（PDAC）相关的细菌群落，但在本文中，我们假设胰腺肿瘤组织中微生物群的流行率与其匹配的相邻组织学上正常外观的组织相比是不同的，并且这些微生物分子特征对于PDAC诊断/预后非常有用。在这项研究中，我们使用基于16 S rRNA的宏基因组学分析对胰腺肿瘤及其相应相邻正常组织中的细菌种群进行了比较分析。这项研究揭示了更高的丰度变形菌门和放线菌门在肿瘤组织与邻近的正常组织相比。有趣的是，线性判别分析（LDA）评分明确显示肿瘤组织中Delftia的富集，而鞘氨醇单胞菌属，链球菌属和柠檬酸杆菌属在肿瘤组织中表现出消耗。此外，我们分析了不同肿瘤分化阶段的不同患者组之间的微生物组成。与G2（良好至中度/中度分化）和G3/G4（低分化）阶段相比，细菌属Delftia和葡萄球菌在G1阶段（分化良好）非常高。然而，放线菌和Cloacibacterium的丰度分别在G2和G3中非常高。此外，我们评估了程序性死亡配体（PDL 1）表达与肿瘤病变中细菌属丰度的相关性。我们的研究结果表明，三个属，如链霉菌属，皮肤杆菌属和Delftia与PD-L1的表达呈正相关。总的来说，这些研究结果表明，PDAC病变与其正常肿瘤相邻组织相比具有相对不同的微生物群，这些信息可能有助于PADC患者的诊断和预后。
The composition of resident microbes in the human body is linked to various diseases and their treatment outcomes. Although studies have identified pancreatic ductal adenocarcinoma (PDAC)-associated bacterial communities in the oral and gut samples, herein, we hypothesize that the prevalence of microbiota in pancreatic tumor tissues is different as compared with their matched adjacent, histologically normal appearing tissues, and these microbial molecular signatures can be highly useful for PDAC diagnosis/prognosis. In this study, we performed comparative profiling of bacterial populations in pancreatic tumors and their respective adjacent normal tissues using 16S rRNA-based metagenomics analysis. This study revealed a higher abundance of Proteobacteria and Actinomycetota in tumor tissues compared with adjacent normal tissues. Interestingly, the linear discriminant analysis (LDA) scores unambiguously revealed an enrichment of Delftia in tumor tissues, whereas Sphingomonas, Streptococcus, and Citrobacter exhibited a depletion in tumor tissues. Furthermore, we analyzed the microbial composition between different groups of patients with different tumor differentiation stages. The bacterial genera, Delftia and Staphylococcus, were very high at the G1 stages (well differentiated) compared with G2 (well to moderate/moderately differentiated) and G3/G4 (poorly differentiated) stages. However, the abundance of Actinobacter and Cloacibacterium was found to be very high in G2 and G3, respectively. Additionally, we evaluated the correlation of programmed death-ligand (PDL1) expression with the abundance of bacterial genera in tumor lesions. Our results indicated that three genera such as Streptomyces, Cutibacterium, and Delftia have a positive correlation with PD-L1 expression. Collectively, these findings demonstrate that PDAC lesions harbor relatively different microbiota compared with their normal tumor adjacent tissues, and this information may be helpful for the diagnosis and prognosis of PADC patients.
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DOI：
10.1158/1078-0432.ccr-14-2600
发表时间：
2015-04-15
期刊：
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子：
--
作者：
Dal Molin M;Zhang M;de Wilde RF;Ottenhof NA;Rezaee N;Wolfgang CL;Blackford A;Vogelstein B;Kinzler KW;Papadopoulos N;Hruban RH;Maitra A;Wood LD
通讯作者：
Wood LD
影响因子：
48
作者：
Callahan BJ;McMurdie PJ;Rosen MJ;Han AW;Johnson AJ;Holmes SP
通讯作者：
Holmes SP
DOI：
10.1073/pnas.0807920105
发表时间：
2008-11-18
影响因子：
11.1
作者：
Fierer, Noah;Hamady, Micah;Knight, Rob
通讯作者：
Knight, Rob
DOI：
10.1155/2015/973284
发表时间：
2015-09
期刊：
The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale
影响因子：
--
作者：
Bilgin H;Sarmis A;Tigen E;Soyletir G;Mulazimoglu L
通讯作者：
Mulazimoglu L
影响因子：
4.3
作者：
Kang YB;Cai Y
通讯作者：
Cai Y