Esophageal mycobiome landscape and interkingdom interactions in esophageal squamous cell carcinoma.

Background: The study purpose was to characterize the mycobiome and its associations with the expression of pathogenic genes in esophageal squamous cell carcinoma (ESCC). Methods: Patients with primary ESCC were recruited from two central hospitals. We performed internal transcribed spacer 1 (ITS1) ribosomal DNA sequencing analysis. We compared differential fungi and explored the ecology of fungi and the interaction of bacteria and fungi. Results: The mycobiota diversity was significantly different between tumors and tumor-adjacent samples. We further analysed the differences between the two groups, at the species level, confirming that Rhodotorula toruloides, Malassezia dermatis, Hanseniaspora lachancei, and Spegazzinia tessarthra were excessively colonized in the tumor samples, whereas Preussia persica, Fusarium solani, Nigrospora oryzae, Acremonium furcatum, Golovinomyces artemisiae, and Tausonia pullulans were significantly more abundant in tumor-adjacent samples. The fungal co-occurrence network in tumor-adjacent samples was larger and denser than that in tumors. Similarly, the more complex bacterial-fungal interactions in tumor-adjacent samples were also detected. The expression of mechanistic target of rapamycin kinase was positively correlated with the abundance of N. oryzae and T. pullulans in tumor-adjacent samples. In tumors, the expression of MET proto-oncogene, receptor tyrosine kinase (MET) had a negative correlation and a positive correlation with the abundance of R. toruloides and S. tessarthra, respectively. Conclusion: This study revealed the landscape of the esophageal mycobiome characterized by an altered fungal composition and bacterial and fungal ecology in ESCC.

Dietary Inflammatory Nutrients and Esophageal Squamous Cell Carcinoma Risk: A Case-Control Study.

We conducted a case-control study (532 cases and 532 control) in Chinese adults to investigate the independent and interactive effects of dietary nutrients (pro- or anti-inflammation) on Esophageal Squamous Cell Carcinoma (ESCC) risk. Dietary data were collected using a food questionnaire survey that included 171 items. Two algorithms, the Least Absolute Shrinkage and Selector Operation (LASSO) and Bayesian Kernel Machine Regression (BKMR) were employed to select indicators and evaluate the interactive effect of nutrients' mixture on ESCC risk. Thirteen nutrients were selected, including three pro-inflammatory nutrients (protein, fat and carbohydrate) and ten anti-inflammatory nutrients (fiber, Vitamin A, riboflavin, niacin, Vitamin C, Fe, Se, MUFA, n-3 PUFA and n-6 PUFA). Single-exposure effects of fat, carbohydrate and fiber significantly contributed to ESCC risk. The pro-inflammatory nutrients' submodel discovered that the combined effect was statistically associated with increased ESCC risk. In addition, a higher fat level was significantly associated with ESCC risk. On the contrary, for fiber and riboflavin, the anti-inflammatory nutrients' submodel delineated a significant negative effect on the risk of ESCC. Our result implies that dietary nutrients and their inflammatory traits significantly impacted ESCC occurrence. Additional studies are warranted to verify our findings.

Characteristics and interplay of esophageal microbiota in esophageal squamous cell carcinoma.

BACKGROUND: Esophageal microbiota may influence esophageal squamous cell carcinoma (ESCC) pathobiology. Therefore, we investigated the characteristics and interplay of the esophageal microbiota in ESCC. METHODS: We performed 16S ribosomal RNA sequencing on paired esophageal tumor and tumor-adjacent samples obtained from 120 primarily ESCC patients. Analyses were performed using quantitative insights into microbial 2 (QIIME2) and phylogenetic investigation of communities by reconstruction of unobserved states 2 (PICRUSt2). Species found to be associated with ESCC were validated using quantitative PCR. RESULTS: The microbial diversity and composition of ESCC tumor tissues significantly differed from tumor-adjacent tissues; this variation between subjects beta diversity is mainly explained by regions and sampling seasons. A total of 56 taxa were detected with differential abundance between the two groups, such as R. mucilaginosa, P. endodontalis, N. subflava, H. Pylori, A. Parahaemolyticus, and A. Rhizosphaerae. Quantitative PCR confirmed the enrichment of the species P. endodontalis and the reduction of H. Pylori in tumor-adjacent tissues. Compared with tumor tissue, a denser and more complex association network was formed in tumor-adjacent tissue. The above differential taxa, such as H. Pylori, an unclassified species in the genera Sphingomonas, Haemophilus, Phyllobacterium, and Campylobacter, also participated in both co-occurrence networks but played quite different roles. Most of the differentially abundant taxa in tumor-adjacent tissues were negatively associated with the epidermal growth factor receptor (EGFR), erb-b2 receptor tyrosine kinase 2 (ERBB2), erb-b2 receptor tyrosine kinase 4 (ERBB4), and fibroblast growth factor receptor 1 (FGFR1) signaling pathways, and positively associated with the MET proto-oncogene, receptor tyrosine kinase (MET) and phosphatase and tensin homolog (PTEN) signaling pathways in tumors. CONCLUSION: Alterations in the microbial co-occurrence network and functional pathways in ESCC tissues may be involved in carcinogenesis and the maintenance of the local microenvironment for ESCC.

Genomic analyses reveal SCN7A is associated with the prognosis of esophageal squamous cell carcinoma.

BACKGROUND: Esophageal squamous cell carcinoma (ESCC) has a poor prognosis and occurs with high frequency in China. In particular, Fujian is one of the high-incidence areas of ESCC in China and the somatic mutation profile of ESCC there remains unclear. PATIENTS AND METHODS: Whole-exome sequencing (WES) was performed in 49 matched ESCC tumor-normal specimens to examine the somatic mutation profiles. Hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between mutational profile and survival were derived from Cox regression model. RESULTS: We constructed a preliminary somatic mutation profiling of ESCC in Fujian. Exome sequencing data showed that the main base substitutions in ESCC were C > T transformation (close to 50%), C > A and T > C transversion. The study identified 21 significantly mutated genes, including 8 driver genes and 11 predicted driver genes. Among the 19 driver or predicted driver genes, 9 are novel (OBSCN, PKHD1L1, FSIP2, HRNR, CUBN, CELSR3, SCN7A, TULP4, SRRM2) and 10 have been previously reported. Three mutational signatures were identified to be prevalent in ESCC including Signature_15, Signature_4 and Signature_6, of which Signature_15 was related to prognosis of ESCC (HR 2.81, 95% CI 1.30-6.05; p = 0.008). Survival analysis showed that SCN7A was correlated to overall survival with an HR of 2.76 (95% CI 0.96-7.90, p = 0.058). After controlling for confounding factors such as age, gender, stage and location, the correlation between SCN7A and survival was statistically significant based on multivariate COX regression analysis (HR 4.76, 95% CI 1.20-18.85; p = 0.026, padjust = 0.053). The tumor vascular invasion was associated with SCN7A of ESCC patients (p = 0.028). CONCLUSION: In summary, this study provided comprehensive analysis of the somatic mutation profiles of ESCC, and identified SCN7A and Signature_15 for the prognosis of ESCC for the first time. The findings might serve as a conceptual basis for molecular diagnosis and prevention of ESCC.

Association between alcohol consumption and oesophageal microbiota in oesophageal squamous cell carcinoma.

BACKGROUND: Microbiota has been reported to play a role in cancer patients. Nevertheless, little is known about the association between alcohol consumption and resultant changes in the diversity and composition of oesophageal microbiota in oesophageal squamous cell carcinoma (ESCC). METHODS: We performed a hospital-based retrospective study of 120 patients with pathologically diagnosed primary ESCC. The relevant information for all study participants were collected through a detailed questionnaire. The differences in adjacent tissues between non-drinkers and drinkers were explored using 16S rRNA gene sequencing. Raw sequencing data were imported into QIIME 2 to analyse the diversity and abundance of microbiota. Linear discriminant analysis effect size (LEfSe) and unconditional logistic regression were performed to determine the bacterial taxa that were associated with drinking. RESULTS: The Shannon diversity index and Bray-Curtis distance of oesophageal microbiota were significantly different among drinkers(P < 0.05). The alcohol-related bacteria were primarily from the orders Clostridiales, Gemellales and Pasteurellales, family Clostridiaceae, Lanchnospiraceae, Helicobacteraceae, Alcaligenaceae, Bacteroidaceae, Pasteurellaceae and Gemellaceae; genus Clostridium, Helicobacter, Catonella, Bacteroides, Bacillus, Moraxella, and Bulleidia; and species B. moorei and longum (genus Bifidobacterium). In addition, the diversity and abundance of these microbiota were observed to be affected by the age, residential districts of the patients, and sampling seasons. Moreover, the higher the frequency and years of alcohol consumption, the lower was the relative abundance of genus Catonella that was observed. CONCLUSION: Alcohol consumption is associated with alterations in both the diversity and composition the of the oesophageal microbiota in ESCC patients.

Upregulated expression of serum exosomal hsa_circ_0026611 is associated with lymph node metastasis and poor prognosis of esophageal squamous cell carcinoma.

Background: To identify the diagnostic and prognostic values of serum exosomal hsa_circ_0026611 in esophageal squamous cell carcinoma (ESCC). Methods: ESCC serum exosome global circRNA expression was detected using a circRNA microarray. The expression levels of candidate serum exosome circRNAs were detected by quantitative polymerase chain reaction (qRT-PCR). A receiver operating characteristic curve (ROC) was generated to confirm the diagnostic value. Survival data and their differences were observed by the Kaplan-Meier method and log-rank tests. The Cox regression analysis was employed to identify prognostic factors. Results: The expression levels of serum exosomal has_circ_0026611 in ESCC with lymph node metastasis were significantly higher than those in ESCC without lymph node metastasis (P =0.001). In addition, serum exosomal hsa_circ_0026611 expression could be used as a significant parameter to discriminate between non-lymph node-metastatic and lymph node-metastatic ESCC with an area under curve (AUC) of 0.724 (95% CI: 0.604~0.865). The multivariate Cox regression analysis indicated that survival was poor in patients with high serum exosomal hsa_circ_0026611 expression levels compared to those with low serum exosomal hsa_circ_0026611 levels (for OS, HR [95% CI]: 3.79 [1.27, 11.29], for DFS, HR [95% CI]: 2.77 [1.06, 7.22]). Conclusion: Serum exosomal hsa_circ_0026611 expression is significantly upregulated in ESCC with lymph node metastasis and is a predictor of ESCC prognosis.

Health-related quality of life and treatment modality among esophageal squamous cell carcinoma survivors: A prospective study using time to deterioration model analysis.

BACKGROUND AND OBJECTIVES: This study aimed to analyze the association between health-related quality of life and treatment modality among esophageal squamous cell carcinoma (ESCC) survivors. METHODS: Patients completed the EORTC QLQ-C30 and EORTC QLQ-OES18 at baseline and follow-up. A time to deterioration model analysis was performed to compare longitudinal EORTC QLQ-C30/QLQ-OES18 data between surgery alone and surgery with adjuvant chemotherapy. RESULTS: For EORTC QLQ-C30 scale, compared with surgery alone, significant delays in time to deterioration in role functioning (16.05 months vs. 15.00 months; p = .045), cognitive functioning (20.80 months vs. 16.26 months; p = .017), social functioning (19.09 months vs. 12.35 months; p = .001), and dyspnea (18.53 months vs. 14.62 months; p = .011) were observed for surgery with adjuvant chemotherapy. For QLQ-OES18 scale, compared with surgery alone, significant delays in time to deterioration in dysphagia (13.75 months vs. 8.16 months; p = .005), choking when swallowing (20.67 months vs. 15.08 months; p = .001), and dry mouth (21.78 months vs. 17.28 months; p = .039) were observed for surgery with adjuvant chemotherapy. CONCLUSIONS: Patients who received postoperative chemotherapy had significant delay in time to deterioration in multiple ESCC-related symptoms, functions of EORTC QLQ-C30 and EORTC QLQ-OES18.

Serum exosomal microRNA-766-3p expression is associated with poor prognosis of esophageal squamous cell carcinoma.

The aim was to analyze the association between exosomal microRNA (miR)-766-3p expression levels in serum and the prognosis of esophageal squamous cell carcinoma (ESCC). The serum global exosomal miRNA expression of ESCC patients was measured by microRNA microarray. Quantitative real-time PCR was used to analyze the expression levels of candidate miRNAs in both serum and tissues from ESCC patients. Wilcoxon tests were applied to evaluate clinical characteristics and their association with serum levels of exosomal miR-766-3p. A Cox regression model was used to identify prognostic factors. The effects of miR-766-3p expression on cell migration and invasion were examined using Transwell assays, and CCK-8 assays were carried out to measure cell proliferation. The TNM stage was associated with high serum exosomal miR-766-3p levels of ESCC patients (P = .030). Higher serum exosomal miR-766-3p expression levels were associated with poor prognosis (for overall survival, hazard ratio [HR] [95% confidence interval (CI)], 2.21 [1.00, 4.87]; for disease-free survival, HR [95% CI], 2.15 [1.01, 4.59]). However, we found no association between the expression of miR-766-3p in tissue and ESCC prognosis. In vitro results showed that miR-766-3p promotes cell migration and invasion, but not cell proliferation. By using dual-luciferase reporter assay, HOXA13 was confirmed as a direct target gene of miR-766-3p. The ESCC patients with highly expressed serum exosomal miR-766-3p had a significantly worse survival. Therefore, serum exosomal miR-766-3p could serve as a prognostic marker for the assessment of ESCC.