Single-cell Genomic Copy Number Evolution Reveals Frequent Loss of the Y chromosome in Esophageal Adenocarcinoma.
The incidence of esophageal adenocarcinoma (EAC), an aggressive cancer, is rising in Western countries, and incidence is higher in men. To better understand the roles of DNA copy number evolution, tumor heterogeneity, and tumor microenvironment in EAC and its origins, we evaluated EAC, Barrett's Esophagus (BE), and normal adjacent tissue using our previously developed ultra-sensitive, single-nucleus DNA copy number analysis (12,186 nuclei, 20 specimens) and single-nucleus RNA-sequencing (snRNA-seq; 87,027 nuclei, 32 specimens). Loss of Y (LOY) chromosome was rare in BE but markedly enriched in EAC. In genome unstable cells, complete LOY chromosome often coincided with X-chromosome duplication. We did not detect X-chromosome inactivation via XIST expression in cells with LOY, suggesting increased expression of X-chromosome genes and potential effects on tumor immune evasion. When considering patients' clinical features, we identified distinct differences in tumor microenvironment by sex, age, and obesity status, particularly massively reduced immune cell composition in obese patients. Finally, our cell line models recapitulate LOY, and we identify the first candidate anti-LOY agent. Our findings highlight how LOY affects tumor subpopulations and shapes the tumor microenvironment during EAC progression.
- Discussion
- 10.1016/j.cgh.2014.08.006
- Aug 13, 2014
- Clinical Gastroenterology and Hepatology
Issue Highlights
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8
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Screening and surveillance for Barrett esophagus.
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- Apr 21, 2025
- Cancer Research
Elucidating the role of microbes in precancer evolution could transform clinical risk prediction and management strategies. In the case of esophageal adenocarcinoma (EAC) progression, microbial communities have been detected across precancerous and neoplastic stages. However, unlike prior studies that statistically compare microbial abundances at single time-points, we employed mathematical modeling of microbial population dynamics within human hosts to determine likely modes of evolution that drive changes in microbial composition over time. We first aggregated whole genome sequencing (WGS) datasets from esophageal tissue samples taken across stages of EAC progression, which included healthy esophagus, gastroesophageal reflux disease (GERD), Barrett’s esophagus (BE), and EAC. In particular, we analyzed baseline WGS data from a case-control study of patients with BE who later progressed to EAC (“progressors”) versus those patients with BE who did not progress to cancer within 5 years (“non-progressors”). We employed a robust bioinformatics host filtration pipeline to remove human DNA reads, mapped remaining reads to a human-scrubbed Web of Life microbial database, and filtered out taxa with low genomic coverage. After extracting occurrence and abundance data for taxa in each disease stage, we applied mathematical models of both neutral and non-neutral microbial evolution. We found evidence of neutral dynamics across stages of normal to pre-cancer (goodness-of-fit to the neutral expectation R2 > 0.85 for normal esophagus and GERD, R2 > 0.65 for BE non-progressors and BE progressors) but not for EAC (R2 = 0.14 in EACs from the International Cancer Genome Consortium, and R2 = 0.34 in a validation set of 19 EACs who also had surrounding BE). We also found that Helicobacter pylori (H. pylori), a bacterium inversely associated with EAC risk, deviated significantly from the expected neutral model in BE non-progressor patients but not in BE progressor patients. To test hypotheses that accounted for potential selection effects, we performed simulations for both neutral and non-neutral processes. Using simulated data for the EAC cohorts, we found that assuming widely varying growth rates best reflected the data, implying that selection pressures likely influence largely niche-based population dynamics in the tumor microenvironment. For the BE non-progressor cohort, we found that assuming a lower death rate for H. pylori compared to other taxa recapitulated the data. This implies that H. pylori may have a selective advantage in non-progressing BE (as it does when present in the stomach), and further studies are needed to understand the impact on EAC progression. Overall, considering metagenomic data as the result of a dynamic process within a human host will enhance our understanding of the human microbiome's role in precancer and cancer evolution. Citation Format: Caitlin E. Guccione, Igor Sfiligoi, Antonio Gonzalez, Justin Shaffer, Mariya Kazachkova, Yuhan Weng, Daniel McDonald, Shailja Shah, Samuel S. Minot, Thomas Paulson, Ludmil Alexandrov, Rob Knight, Kit Curtius. Computational modeling of human microbiome evolution in the context of esophageal adenocarcinoma progression [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 3692.
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45
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21
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5
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- Feb 25, 2014
- Diseases of the Esophagus
The incidence of esophageal adenocarcinoma has increased dramatically over recent years and Barrett's esophagus is considered the most established risk factor for its development. Endoscopic surveillance of Barrett's esophagus is therefore recommended but hinges on histological interpretation of randomly taken biopsies which is poorly reproducible. The use of biomarkers presents an opportunity to improve our ability to risk-stratify these patients.We examined three biomarkers namely p504s, CD133, and Twist in the setting of Barrett's esophagus, low-grade dysplasia, and esophageal adenocarcinoma to evaluate differential expression between benign, dysplastic, and malignant Barrett's tissue in an exploratory cross-sectional study. Twenty-five cases each of Barrett's esophagus, low-grade dysplasia, and esophageal adenocarcinoma were included along-with 25 cases of esophagectomy resections for Barrett's adenocarcinoma. The biomarkers were immunostained on automated Ventana(®) immunostainer. The biopsies were assessed for biomarker expression by two independent observers. Granular cytoplasmic staining of p504s was observed in dysplastic Barrett's biopsies and esophageal adenocarcinoma but not in Barrett's esophagus. Apical and membranous CD133 expression was also observed in dysplastic Barrett's and esophageal adenocarcinoma. Nuclear Twist expression was seen predominantly in stromal cells. There was increased p504s expression in dysplastic Barrett's esophagus and esophageal adenocarcinoma compared with controls. CD133 expression was detected for the first time in esophageal adenocarcinoma and dysplastic Barrett's esophagus. Twist expression was not convincing enough to be labeled as Barrett's biomarker. p504s and CD133 have the potential to differentiate benign from malignant Barrett's tissue in this exploratory study. Their validity should be established in prospective longitudinal studies.
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46
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21
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- Helicobacter
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56
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- Clinical Gastroenterology and Hepatology
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294
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4
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342
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- Oct 20, 2009
- Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
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- Abstract
- 10.1016/j.gie.2015.03.1217
- Apr 27, 2015
- Gastrointestinal Endoscopy
340 Proportion of Missed Cancer and High-grade Dysplasia During Barrett's Esophagus Diagnosis: a Systematic Review and Meta-Analysis
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12
- 10.1097/mog.0000000000000274
- Jul 1, 2016
- Current opinion in gastroenterology
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- Front Matter
2
- 10.1016/j.cgh.2014.06.030
- Jul 5, 2014
- Clinical Gastroenterology and Hepatology
Is Complete Endoscopic Resection Still a Viable Option for Barrett’s-Related Dysplasia and Neoplasia?
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