scholarly journals Characteristics of Oral Microbiota in Patients with Esophageal Cancer in China

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Hezi Li ◽  
Zhilin Luo ◽  
Hong Zhang ◽  
Nali Huang ◽  
Dong Li ◽  
...  

Gut microbiota dysbiosis is closely associated with intestinal carcinogenesis, but the oral microbiota of patients with esophageal squamous cell carcinoma who live in high-risk regions in China has not been fully characterized. In the current study, oral microbial diversity was investigated in 33 patients with esophageal squamous cell carcinoma and 35 healthy controls in Chongqing, China, by sequencing 16S rRNA of V3-V4 gene regions. There were statistically significant differences in oral microbiota between esophageal squamous cell carcinoma patients and controls as determined via unweighted pair-group analysis with arithmetic means. At the phylum level, in esophageal squamous cell carcinoma patients, there were comparatively greater amounts of Firmicutes (34.0% vs. 31.1%) and Bacteroidetes (25.3% vs. 24.9%) and lower amounts of Proteobacteria (17.0% vs. 20.1%). At the genus level, esophageal squamous cell carcinoma patients exhibited comparatively greater amounts of Streptococcus (17.3% vs. 14.5%) and Prevotella_7 (8.6% vs. 8.5%) and lower amounts of Neisseria (8.1% vs. 10.7%). Using a linear discriminant analysis effect size method, Planctomycetes and Verrucomicrobia were identified in the esophageal squamous cell carcinoma group. 10 genera were higher abundances identified in the healthy control group, and different 10 genera were identified in the esophageal squamous cell carcinoma group. In the present study, there were significant differences in oral microbial compositions of esophageal squamous cell carcinoma patients and healthy controls. Further longitudinal and mechanistic studies are needed to further characterize relationships between oral microbiota and esophageal squamous cell carcinoma.

Author(s):  
Zongdan Jiang ◽  
Jun Wang ◽  
Ziyang Shen ◽  
Zhenyu Zhang ◽  
Shukui Wang

Microbial imbalances have been well elucidated in esophageal adenocarcinoma. However, few studies address the microbiota in esophageal squamous cell carcinoma (ESCC) and esophagitis (ES). We aimed to explore the association of esophageal microbiota with these patients. Esophageal tissues were obtained from healthy controls and ES and ESCC patients undergoing upper endoscopy. 16S rRNA gene sequencing was applied to analyze the microbiome. The α and β diversity differences were tested by Tukey test and partial least squares-discriminant analysis (PLS-DA), respectively. Linear discriminant analysis effect size (LEfSe) analysis was performed to assess taxonomic differences between groups. A total of 68 individuals were enrolled (control = 21, ES = 15, ESCC = 32). Microbial diversity was significantly different between the ESCC patients and healthy controls by Chao1 index, Shannon index, and PLS-DA. Firmicutes, Proteobacteria, Bacteroidetes, Actinobacteria, and Fusobacteria were the five dominant bacterial phyla among the three groups. Megamonas, Collinsella, Roseburia, and Ruminococcus_2 showed a significantly continuous decreasing trend from the control group to the ESCC group at the genus level. When compared with the control group, decreased Fusobacteria at phylum level and Faecalibacterium, Bacteroides, Curvibacter, and Blautia at genus level were detected. ESCC samples also displayed a striking reduction of Bacteroidetes, Faecalibacterium, Bacteroides, and Blautia in comparison with the ES patients. LEfSe analysis indicated a greater abundance of Streptococcus, Actinobacillus, Peptostreptococcus, Fusobacterium, and Prevotella in the ESCC group. Our study suggests a potential association between esophageal microbiome dysbiosis and ESCC and provides insights into potential screening markers for esophageal cancer.


2020 ◽  
Author(s):  
Xiuqin Wei ◽  
Qiang Gao ◽  
Wei Jia ◽  
Chao Ma ◽  
Mei Xue ◽  
...  

Abstract BACKGROUND: Esophageal squamous cell carcinoma (ESCC) in some cases can be diagnosed as esophageal varices (EV). DLG1-AS1 promotes cervical cancer, while its function is other malignancies remains unknown. Our aim for this study is to study the role of DLG1-AS1 in esophageal squamous cell carcinoma.METHODS: Plasma levels of DLG1-AS1 in 66 early stage ESCC patients, 60 EV patients and 60 healthy controls were measured by RT-qPCR. Receiver operating characteristic (ROC) curve was applied to analyze the diagnostic value of DLG1-AS1 for early stage ESCC. Relationship between miR-145 and DLG1-AS1 was analyzed by overexpression experiments. Proliferation of cells was determined by CCK-8 assay. RESULTS: DLG1-AS1 was upregulated in ESCC, but not in EV patients compared with healthy control. DLG1-AS1 overexpression distinguished ESCC patients from healthy controls and EV patients. Plasma miR-145 was inversely correlated with DLG1-AS1 in ESCC patients. Moreover, DLG1-AS1 overexpression resulted in the downregulation of miR-145, while miR-145 mimic transfection did not significantly alter DLG1-AS1. Overexpression of DLG1-AS1 mediated the promoted, while overexpression of miR-145 resulted in inhibited proliferation of ESCC cells. The role of DLG1-AS1 overexpression was inhibited by miR-145 mimic transfection. CONCLUSION: Therefore, DLG1-AS1 may promote ESCC under the repression of miR-145.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e14511-e14511 ◽  
Author(s):  
Kazuki Sudo ◽  
Ken Kato ◽  
Juntaro Matsuzaki ◽  
Junpei Kawauchi ◽  
Satoko Takizawa ◽  
...  

e14511 Background: A phase II study demonstrated that nivolumab (Nivo), a PD-1 inhibitor, had a meaningful activity for patients with esophageal squamous cell carcinoma. Although several biomarkers, including PD-L1 expression levels in tumor tissue, are explored to predict the efficacy of Nivo, further investigation is needed. Here we evaluated whether serum levels of microRNA (miRNA) could be a candidate of predictive markers. Methods: Among 65 patients who participated in the phase II study (JapicCTINo.142422) and received Nivo 3 mg/kg IV Q2W, 19 patients were treated at our institution. Patients were classified into responder and non-responder by investigators based on modified ir-RECIST. Serum samples were stored before and during treatment in the National Cancer Center Biobank. Comprehensive miRNA microarray analyses were performed using a 3D-Gene Human miRNA Oligo Chip (Toray Industries, Inc.), which was designed to detect 2565 miRNA expression levels. miRNA were compared between responders and non-responders using Fisher’s linear discriminant analysis, and then we calculated the area under curve (AUC) values of receiver operating characteristic curve. We explored the miRNA that showed AUC values of more than 0.8 and difference by 0.5 in the average log2 value of miRNA levels (log2miRNA) between responders and non-responders, and investigated their relation to progression-free survival using Kaplan-Meier curves and log-rank tests. Results: Among 19 patients, 5 responded (CR/PR, 1/4) to Nivo. We identified 3 miRNAs in the serum before treatment that were related to response to Nivo with AUC of 0.84 (log2miRNA of non-responder/responder: 13.16/12.47), 0.90 (8.65/10.20) and 0.81 (7.18/6.57), respectively. In the serum after the first treatment, 5 miRNAs were related to response to Nivo with AUC of 0.93 (11.93/11.09), 0.93 (11.87/11.13), 0.85 (7.92/8.53), 0.92 (6.61/5.82) and 0.93 (7.77/ 7.09), respectively. Among these 8 miRNAs, 4 miRNAs were significantly associated with progression-free survival. Conclusions: We identified miRNA candidates that could predict the response to Nivo. Further validation is warranted to confirm the results of our explorative research.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e15546-e15546
Author(s):  
Lin Yang ◽  
Wenjing Zheng ◽  
Zheng Wang ◽  
Peikun Ding ◽  
Lijuan Ling ◽  
...  

e15546 Background: Dissecting tumor heterogeneity is crucial for understanding tumor prognosis, response to therapy, and metastasis. But current tissue biopsy-based strategies for characterizing molecular heterogeneity are invasive and may be confounded by intra-tumor heterogeneity. Here we explore whether exosomes that contain bioactive molecules from the cell of origin can provide new noninvasive means to delineate the heterogeneity of human cancers. Methods: We used RNA-sequencing (RNA-seq) to perform unbiased profiling of mRNAs and long noncoding RNAs (lncRNAs) in plasma exosomes isolated from patients with esophageal squamous cell carcinoma (ESCC, n = 6), patients with esophagitis (n = 6), and healthy controls (n = 6). Results: The number of expressed genes detected in our data set is 63355, including 29615 lncRNAs. We found that exosomes from ESCC have dramatically distinct transcriptome and lncRNA landscapes from that of esophagitis and healthy controls, with 2278 genes and 584 lncRNAs showing differential expression between ESCC and controls; and 854 genes and 126 lncRNAs displaying differential expression between ESCC and esophagitis. We also observed variable expression of diverse transcriptional patterns related to immune response, signal transduction, cell mobility, and transmembrane protein binding, as well as differentially expressed 953 lncRNAs between Stage I and Stage II ESCC samples. Finally, we discovered that both gene and lncRNA expression profiles are variably across exosomal samples from different ESCC patients. Conclusions: Our data reveals that exosomes from ESCC contain distinct transcriptional and lncRNA profiles that separate ESCC from benign esophagitis and healthy controls. Our analysis also identifies unappreciated molecular heterogeneity in exosomes of ESCC, which may pave the way for using exosomal RNA-seq to decode molecular heterogeneity in cancers.


2017 ◽  
Vol 45 (4) ◽  
pp. 1310-1317 ◽  
Author(s):  
Yuantao Cui ◽  
Yuan Xue ◽  
Shangwen Dong ◽  
Peng Zhang

Purpose Emerging evidence indicates that circulating microRNAs (miRs) might act as noninvasive biomarkers for cancer diagnosis and prognosis. We examined the expression pattern and clinical significance of plasma miR-9 in patients with esophageal squamous cell carcinoma (ESCC). Methods Venous blood samples (6 mL) were collected from 131 patients with ESCC and 131 healthy controls, and the plasma miR-9 concentration was detected by reverse transcription polymerase chain reaction. The association of plasma miR-9 expression with clinicopathologic factors and survival of patients with ESCC was evaluated. Receiver operating characteristic (ROC) curve analysis was applied to evaluate the clinical value of plasma miR-9 for ESCC diagnosis. Results The plasma miR-9 expression levels in patients with ESCC were significantly upregulated compared with normal controls. High plasma miR-9 concentrations were significantly correlated with poor tumor differentiation, large tumor size, deep local invasion, lymph node metastasis, advanced clinical stage, and poor survival. ROC curve analysis showed that the plasma miR-9 concentration could efficiently distinguish patients with ESCC from healthy controls. Multivariate survival analysis confirmed plasma miR-9 as an independent prognostic factor for ESCC. Conclusions Plasma miR-9 expression was upregulated in ESCC and might act as a novel diagnostic and prognostic biomarker.


2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Weizheng Zhou ◽  
Jiang Hong ◽  
Ji Zhu ◽  
Xiaowei Wang

Objective. To explore the effects of different concentrations of Polygonatum sibiricum polysaccharides (PSP) on human esophageal squamous cell carcinoma (ESCC) cell line Eca109 and explore the new approach for the treatment of ESCC. Methods. Eca109 cells were divided into 5 groups, including one control group and 4 experimental groups where the concentrations of PSP used were 50, 100, 200, and 400 μg/mL. The proliferation rate of Eca109 cells in each group was measured with the CCK8 assay, and the apoptosis rate in each group was analyzed by flow cytometry; the in vitro scratch assay was used to determine the migration ability of Eca109 cells after PSP treatment; the expression levels of IL-1, IL-6, IL-10, TNF-α, and TGF-β were measured by RT-PCR, and the expression levels of TLR4 and proteins that are related to NF-κB signaling pathways were determined by Western blot. Results. PSP significantly inhibited the proliferation of Eca109 cells (p<0.05) on a time- and dose-dependent manner; the apoptosis rates of Eca109 cells in experimental groups were significantly increased after 48 h of culture (p<0.05); PSP significantly reduced the migration and invasion ability of Eca109 cells (p<0.05); RT-PCR results showed that the expression of IL-10 in Eca109 cells increased significantly after treatment with PSP (p<0.05), while the expression of IL-1, IL-6, TNF-α, and TGF-β decreased significantly (p<0.05). Compared with the control group, the expression level of TLR4, NF-κB/p50, and NF-κB/p65 protein in each experimental group was significantly lower than that in the control group (p<0.05). Conclusions. PSP significantly inhibited the proliferation, invasion, and migration of Eca109 cells and promoted cell apoptosis. These observed effects were probably due to the PSP’s inhibition on the NF-κB signaling pathway in Eca109 cells via the regulation of the TLR4 expression.


2021 ◽  
Vol 12 ◽  
Author(s):  
Yi Shen ◽  
Yi Shao ◽  
Chen Niu ◽  
Xiaoli Ruan ◽  
Zhaoping Zang ◽  
...  

BackgroundCircular RNAs (circRNAs) are described as endogenous non-coding RNAs that have been reported to play important roles in the development and progression of cancers. This study aimed to reveal the circRNA-related regulatory mechanism in esophageal squamous cell carcinoma (ESCC).MethodsA genome-wide circRNA microarray assay was performed to profile the expression of circRNAs in the blood of preoperative ESCC patients and healthy controls. A systematic method of data mining was performed to identify the differentially expressed miRNAs (DEmiRs) and differentially expressed genes (DEGs) based on the metaMA and RankProd analysis. Bioinformatics analyses and multiple tools were employed to construct the potential circRNA–miRNA–mRNA regulatory network.ResultsThirty-three differentially expressed circRNAs were identified in the ESCC blood, including 31 downregulated and two upregulated circRNAs in the blood of ESCC patients compared with the healthy controls. Twenty-three DEmiRs and 2,220 DEGs were obtained by the integration of microarray datasets. An ESCC-associated circRNA–miRNA–mRNA network was constructed based on 31 circRNAs, 3 DEmiRs, and 190 DEGs. Enrichment analyses indicated that the DEGs were associated with a series of biological processes and cancer-related pathways. The protein–protein interaction (PPI) network was generated by the 190 DEGs, with 10 hub genes verified in the network. Subsequently, a sub-network was established for ESCC, which included 29 circRNAs, 2 miRNAs, and 10 hub genes.ConclusionOur study provided a novel clue to help understand the circRNA–miRNA–mRNA regulatory mechanism, highlighting the potential roles of circRNAs in the pathogenesis and development of ESCC.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Qian Wang ◽  
Yuting Rao ◽  
Xiaobing Guo ◽  
Na Liu ◽  
Shuxiu Liu ◽  
...  

AbstractTo investigate the oral microflora of patients with oesophageal squamous cell carcinoma (ESCC), saliva samples were collected from 20 patients with ESCC and 21 healthy controls. The V3-V4 region of 16S rDNA was amplified and sequenced by the Illumina MiSeq high-throughput sequencing platform. The final sequences were used for OTU analysis. Alpha and beta diversity analysis showed that the bacterial diversity and richness of the ESCC group were lower than those of the control group, while the variability of the ESCC group was higher than that of the control group. According to the Metastats difference analysis and LEfSe analysis, the high risk of ESCC may be related to Actinomyces and Atopobium, while the healthy control group is closely related to Fusobacterium and Porphyromonas (the analysis was performed at the genus level). The establishment of the relationship between oral microbiota and risk of ESCC may lead to significant advances in understanding the aetiology of cancer and may open a new research paradigm for cancer prevention.


PLoS ONE ◽  
2015 ◽  
Vol 10 (12) ◽  
pp. e0143603 ◽  
Author(s):  
Xingdong Chen ◽  
Björn Winckler ◽  
Ming Lu ◽  
Hongwei Cheng ◽  
Ziyu Yuan ◽  
...  

2021 ◽  
Author(s):  
Jason Nomburg ◽  
Susan Bullman ◽  
Dariush Nasrollahzadeh ◽  
Eric A. Collisson ◽  
Behnoush Abedi-Ardekani ◽  
...  

ABSTRACTThe incidence of esophageal squamous cell carcinoma (ESCC) is disproportionately high in the eastern corridor of Africa and parts of Asia. Emerging research has identified a potential association between poor oral health and ESCC. One proposed biological pathway linking poor oral health and ESCC involves the alteration of the microbiome. Thus, we performed an integrated analysis of four independent sequencing efforts of ESCC tumors from patients from high- and low-incidence regions of the world. Using whole genome sequencing (WGS) and RNA sequencing (RNAseq) of ESCC tumors and WGS of synchronous collections of saliva specimens from 61 patients in Tanzania, we identified a community of bacteria, including members of the genera Fusobacterium, Selenomonas, Prevotella, Streptococcus, Porphyromonas, Veillonella, and Campylobacter, present at high abundance in ESCC tumors. We then characterized the microbiome of 238 ESCC tumor specimens collected in two additional independent sequencing efforts consisting of patients from other high-ESCC incidence regions (Tanzania, Malawi, Kenya, Iran, China). This analysis revealed a similar tumor enrichment of the ESCC-associated bacterial community in these cancers. Because these genera are traditionally considered members of the oral microbiota, we explored if there is a relationship between the synchronous saliva and tumor microbiomes of ESCC patients in Tanzania. Comparative analyses revealed that paired saliva and tumor microbiomes are significantly similar with a specific enrichment of Fusobacterium and Prevotella in the tumor microbiome. Together, these data indicate that cancer-associated oral bacteria are associated with ESCC tumors at the time of diagnosis and support a model in which oral bacteria are present in high abundance in both saliva and tumors of ESCC patients. Longitudinal studies of the pre-diagnostic oral microbiome are needed to investigate whether these cross-sectional similarities reflect temporal associations.


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