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Background and aim: The clinical outcome of endoscopy submucosal dissection with subsequent radiotherapy for esophageal squamous cell carcinoma remain unclear. In this study we aim to investigate the efficacy and safety of endoscopic submucosal dissection with adjuvant radiotherapy in the treatment of superficial esophageal squamous cell carcinoma involving the muscularis mucosae (T1a-MM) or the submucosa < 200 μm (T1b-SM1). Methods: We analyzed 20 patients with pathologically confirmed T1a-MM or T1b-SM1 esophageal squamous cell carcinoma treated by endoscopic submucosal dissection from 2016 to 2020 in Lihuili Hospital, 9 patients received adjuvant radiotherapy (RT group) and 11 patients received did not (non-RT group). Results: All 20 patients underwent en bloc resection, and both the vertical and horizontal margins were negative. There was no recurrence or lymph node metastasis in the RT group, and no serious complications or death were observed. In the non-RT group, 2 patients had local recurrence and 1 had distant metastasis. None of the 20 patients died of esophageal carcinoma. Conclusions: Adjuvant radiotherapy following endoscopic submucosal dissection may be a safe and effective method for the treatment of T1a-MM/T1b-SM1 superficial esophageal squamous cell carcinoma. [ABSTRACT FROM AUTHOR]

Copy-number variations (CNV), loss of heterozygosity (LOH), and uniparental disomy (UPD) are large genomic aberrations leading to many common inherited diseases, cancers, and other complex diseases. An integrated tool to identify these aberrations is essential in understanding diseases and in designing clinical interventions. Previous discovery methods based on whole-genome sequencing (WGS) require very high depth of coverage on the whole genome scale, and are cost-wise inefficient. Another approach, whole exome genome sequencing (WEGS), is limited to discovering variations within exons. Thus, we are lacking efficient methods to detect genomic aberrations on the whole genome scale using next-generation sequencing technology. Here we present a method to identify genome-wide CNV, LOH and UPD for the human genome via selectively sequencing a small portion of genome termed Selected Target Regions (SeTRs). In our experiments, the SeTRs are covered by 99.73%~99.95% with sufficient depth. Our developed bioinformatics pipeline calls genome-wide CNVs with high confidence, revealing 8 credible events of LOH and 3 UPD events larger than 5M from 15 individual samples. We demonstrate that genome-wide CNV, LOH and UPD can be detected using a cost-effective SeTRs sequencing approach, and that LOH and UPD can be identified using just a sample grouping technique, without using a matched sample or familial information. [ABSTRACT FROM AUTHOR]