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Background: Endoscopic treatment of post-esophagectomy/gastrectomy anastomotic dehiscence includes Self-Expandable Metal Stents (SEMS), which have represented the “gold standard” for many years, and Endoscopic Vacuum Therapy (EVT), which was recently introduced, showing promising results. The aim of the study was to compare outcomes of SEMS and EVT in the treatment of post-esophagectomy/gastrectomy anastomotic leaks, focusing on oncologic surgery. Methods: A systematic search was performed on Pubmed and Embase, identifying studies comparing EVT versus SEMS for the treatment of leaks after upper gastro-intestinal surgery for malignant or benign pathologies. The primary outcome was the rate of successful leak closure. A meta-analysis was conducted, performing an a priori-defined subgroup analysis for the oncologic surgery group. Results: Eight retrospective studies with 357 patients were eligible. Overall, the EVT group showed a higher success rate (odd ratio [OR] 2.58, 95% CI 1.43–4.66), a lower number of devices (pooled mean difference [pmd] 4.90, 95% CI 3.08–6.71), shorter treatment duration (pmd −9.18, 95% CI −17.05- −1.32), lower short-term complication (OR 0.35, 95% CI 0.18–0.71) and mortality rates (OR 0.47, 95% CI 0.24–0.92) compared to stenting. In the oncologic surgery subgroup analysis, no differences in the success rate were found (OR 1.59, 95% CI 0.74–3.40, I2 = 0%). Conclusions: Overall, EVT has been revealed to be more effective and less burdened by complications compared to stenting. In the oncologic surgery subgroup analysis, efficacy rates were similar between the two groups. Further prospective data need to define a unique management algorithm for anastomotic leaks.

Background Eosinophilic esophagitis (EoE) is a chronic immune-mediated rare disease, characterized by esophageal dysfunctions. It is likely to be primarily activated by food antigens and is classified as a chronic disease for most patients. Therefore, a deeper understanding of the pathogenetic mechanisms underlying EoE is needed to implement and improve therapeutic lines of intervention and ameliorate overall patient wellness. Methods RNA-seq data of 18 different studies on EoE, downloaded from NCBI GEO with faster-qdump (https://github.com/ncbi/sra-tools), were batch-corrected and analyzed for transcriptomics and metatranscriptomics profiling as well as biological process functional enrichment. The EoE TaMMA web app was designed with plotly and dash. Tabula Sapiens raw data were downloaded from the UCSC Cell Browser. Esophageal single-cell raw data analysis was performed within the Automated Single-cell Analysis Pipeline. Single-cell data-driven bulk RNA-seq data deconvolution was performed with MuSiC and CIBERSORTx. Multi-omics integration was performed with MOFA. Results The EoE TaMMA framework pointed out disease-specific molecular signatures, confirming its reliability in reanalyzing transcriptomic data, and providing new EoE-specific molecular markers including CXCL14, distinguishing EoE from gastroesophageal reflux disorder. EoE TaMMA also revealed microbiota dysbiosis as a predominant characteristic of EoE pathogenesis. Finally, the multi-omics analysis highlighted the presence of defined classes of microbial entities in subsets of patients that may participate in inducing the antigen-mediated response typical of EoE pathogenesis. Conclusions Our study showed that the complex EoE molecular network may be unraveled through advanced bioinformatics, integrating different components of the disease process into an omics-based network approach. This may implement EoE management and treatment in the coming years.

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