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IDENTIFYING PUTATIVE GENOMIC BIOMARKERS FOR RISK STRATIFICATION IN BARRETT’S ESOPHAGHUS PATIENTS WITH NORMAL HISTOLOGICAL FEATURES

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Introduction

Current surveillance for low-risk Barrett's Esophagus (BE) patients is burdensome, cost-ineffective and dependent on subjective histological assessment of dysplasia with high inter-observer variability. This study aims to identify genomic features that can be identified in a clinically translatable targeted sequencing panel, enhancing the stratification of low-risk BE patients and enabling personalized surveillance strategies.

Aims & Methods

BE patients identified as progressors to early esophageal adenocarcinoma or non-progressors from a large community-based cohort, were matched for age, sex and BE segment length. DNA from baseline and prior non-dysplastic biopsies was sequenced using a targeted capture-based panel designed to detect mutations and copy number changes (CNV). Detected mutations, homozygous deletions, and high-level amplifications were filtered for likely pathogenic events. We performed logistic regression, covariate analysis, and penalized mixed-effect models. A joint model for survival and mixed effects was implemented to analyze the data distributed over space and time.

Results

331 baseline samples and 214 temporal samples, accounting for 105 progressors who progressed after a median 4 (IQR 2.4-7.2) years, and 115 non-progressors who had a median progression-free follow-up of 6 (IQR 4.3-7.3) years, were analyzed. TP53 mutations strongly predict risk (p < 0.0001, Hazard Ratio (HR) = 3.84, 95% confidence interval (CI) 2.89-5.67) as does CNV 17p loss (p < 0.0001, HR = 4.41, 95% CI 2.29-8.52). While there is significant overlap between TP53 mutations and 17p loss, patients with both trended to progress faster. Chromosomal arm CNVs (p = 0.0012, HR = 1.32, 95% CI 1.14-1.52), amplifications (p < 0.001, HR = 2.89, 95% CI 1.57-5.31) and mutational burden (p<0.0001, HR = 1.30, 95% CI 1.21-1.40) were also associated with progression risk. A combined model incorporating: —TP53 mutations, 17p loss, and mutational burden—demonstrated a 57% sensitivity and 84% specificity and an AUC of 0.758. This model identified 60 of 105 progressors in non-dysplastic BE patients.


Predicted
non-Progressive

Predicted
Progressive
True
Non- Progressors
9618
True
Progressors
4560

Conclusion

As expected, TP53 was a pivotal risk factor in this spatial and time-dependent cohort, even in the absence of dysplasia. Two hits in TP53 (mutation with 17p loss) suggested a trend toward near term progression, suggesting the possibility of more refined stratification. Prior studies focused on either mutations or CNVs for risk stratification. We show the combination of both, detected in a clinically translatable assay, improves prognostic value, effectively identifying the majority of progressors among non-dysplastic BE patients while maintaining an acceptable false-positive rate. This approach has the potential to dramatically impact risk stratification and surveillance strategies in non-dysplastic BE patients.

Supplementary Infographic ↗

IDENTIFYING PUTATIVE GENOMIC BIOMARKERS FOR RISK STRATIFICATION IN BARRETT’S ESOPHAGHUS PATIENTS WITH NORMAL HISTOLOGICAL FEATURES

Pim Stougie 1, Nicola Frei 1, Vincent Pappalardo 2, Amir Khoshiwal 1, Hui Yu 3, R.X. de Menezes 2, Lucas Duits 1, Jacques J. Bergman 1, Matthew Stachler 3

1 Amsterdam UMC,, Amsterdam, Netherlands

2 Netherlands Cancer Institute, Amsterdam, Netherlands

3 University of California, San Francisco, United States

Event

UEG Week Vienna 2024

Topics

Endoscopy Histopathology Oesophagus

Submission format

Abstract

Session

Barrett's oesophagus: Treatment and surveillance

Citation

United European Gastroenterology Journal 2024; 12 (Supplement 8)

Published

2024
UEG Podcast Episode
UEG Podcast
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Leadership in crisis with Axel Dignass

Axel Dignass, Egle Dieninyte - Misiune

Published

2025
UEG Presentation
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Introduction Mistakes in…: Lower GI

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Introduction Mistakes in…: Lower GI

Henriette Heinrich 1

1 Stadtspital Triemli, Zürich, Switzerland

Event

UEG Week Berlin 2025

Topics

Colorectal Endoscopy IBD Nurses

Session

Mistakes in…: Lower GI

Citation

United European Gastroenterology Journal 2025; 13 (Supplement 8)

Published

2025
UEG Presentation
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CONCOMITANT ATOPY INFLUENCES RESPONSE TO PROTON-PUMP INHIBITORS IN EOSINOPHILIC ESOPHAGITIS: AN ANALYSIS OF THE EOE CONNECT REGISTRY

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Introduction

Eosinophilic esophagitis (EoE) is type-2 chronic inflammatory disorder usually accompanied by other atopic conditions including rhinitis, conjunctivitis, bronchial asthma, dermatitis, hives or chronic rhinosinusitis with nasal polyps. The influence of these atopies in the response to the EoE therapy has been barely investigated, with opposite results in small cohorts (1,2).

Aims & Methods

We aim to describe atopic concomitances in European EoE patients and to evaluate its influence on effectiveness of first-line therapy, consisting in proton-pump inhibitors (PPIs), swallowed topical corticosteroids (STCs) and food-elimination diets (FEDs).
A cross-sectional analysis of the multicenter EoE CONNECT registry (3) was performed. Demographic and clinical data from patients recruited at 42 hospitals in 4 European countries were extracted on March 25th, 2025. Concomitant atopies were classified as seasonal or persistent. Clinico-histological response (CHR) was defined as the simultaneous presence of symptomatic remission and a peak eosinophil count <15 eosinophils per high power field after therapy.

Results

Overall, 3,900 patients (75.6% males, mean age 33.3 ±15.1 years) were analyzed (Table). CHR rate after first-line monotherapy with PPIs, STCs or FEDs was 50.4% (n=2,685). PPIs was the only treatment affected by concomitant atopy: presence of asthma and hives significantly reduced CHR rates to PPIs (42.7% vs 49.7%, p=0.005, and 39.3% vs 48%, p=0.044, respectively), and CHR also tended to be lower in presence of conjunctivitis (43.6% vs 48.4, p=0.067) and dermatitis (43.2% vs 48.3%, p=0.081). Seasonal or persistent presentation of atopy did not influence response to treatment. Taking into account age at diagnosis, the effect of concomitant atopy in reducing CHR to PPIs was exclusively observed in adults (≥18 years old) for asthma (43.8% vs 51.3%, p=0.007) and dermatitis (42.6% vs 50.3%, p=0.026), and in children (<18 years old) for hives (17.4% vs 39.9%, p=0.032).
We next analyzed whether the number of concomitant atopies influenced CHR to first-line therapy. While no differences were found among patients who presented only one atopic condition, the presence of 2 or more atopies reduced PPI effectiveness in adults (45.0% vs 50.7%, p=0.032) and to FEDs in children (23.5% vs 59.3%, p=0.020). A reduction in CHR rate after PPI therapy was even greater in adults with 3 or more atopies concomitant to EoE (39.0% vs 50.4%, p=0.001). Effectiveness of first-line STCs were not affected in any of these comparisons.

Age at diagnosis (n=3,705)<18 years: 19.4%; ≥18 years: 80.6%
Rhinitis (n=3,558)49.4 %; Seasonal 77.3 %; Persistent 22.7%
Conjunctivitis (n=3,499)23.8%; Seasonal 88.5%; Persistent 11.5%
Asthma (n=3,526)28.6%; Seasonal 63.8%; Persistent 36.2%
Dermatitis (n=3,507)18.7%; Seasonal 43.4%; Persistent 56.6%
Hives (n=3,403)7.1%; Seasonal 50.7 %; Persistent 49.3%
Chronic rhinosinusitis with nasal polyps (n=3,461)2.1%; Persistent: 100%
Number of allergies (n=3,353)At least 1 allergy: 64.7%; ≥2 allergies: 39.1%; ≥3 allergies: 17.4%
Response to 1st treatment option in monotherapy evaluated (n=3,266)PPI: 82.6%; STC: 11.9%; FED: 5.5%

Conclusion

The coexistence of asthma, dermatitis and hives determined lower response to PPI therapy for EoE. Association of 2 or more atopic condition further decreased effectiveness of PPIs in adults and of FEDs in children.

References

1. Ancellin M, Ricolfi-Waligova L, Clerc-Urmès I, et al. Management of eosinophilic esophagitis in children according to atopic status: a retrospective cohort in northeast of France. Arch Pediatr. 2020;27(3):122-127.
2. Reed WD, Ocampo AA, Xue Z, et al. Eosinophilic esophagitis patients with multiple atopic conditions: clinical characteristics and treatment response to topical steroids. Ann Allergy Asthma Immunol. 2023;131(1): 109-115.e2.
3. Lucendo AJ, Santander C, Savarino E, et al. EoE CONNECT, the European Registry of Clinical, Environmental, and Genetic Determinants in Eosinophilic Esophagitis: rationale, design, and study protocol of a large-scale epidemiological study in Europe. Therap Adv Gastroenterol. 2022;15:17562848221074204.

CONCOMITANT ATOPY INFLUENCES RESPONSE TO PROTON-PUMP INHIBITORS IN EOSINOPHILIC ESOPHAGITIS: AN ANALYSIS OF THE EOE CONNECT REGISTRY

Leticia Rodríguez-Alcolado 1, Emilio Jose Laserna-Mendieta 2, Victoria Úbeda Vargas 3, Sergio Casabona-Francés 4, Edurne Amorena Muro 5, Leonardo Blas 6, Edoardo Vincenzo Savarino 7, Isabel Pérez-Martínez 8, Jesús Barrio Andrés 9, Antonio Guardiola Arevalo 10, Danila Guagnozzi 11, Marina Coletta 12, Laura Martín Asenjo 13, Luisa de la Peña Negro 14, Gaia Pellegatta 15, Alejandro García-Díaz 16, Elena Betoré 17, Anne Lund Krarup 18, Susana de la Riva 19, Silvia Carrión Bolorino 20, María Pipa 21, Sonia Fernandez-Fernandez 22, Carlos Teruel Sanchez - Vegazo 23, Juan Enrique Naves 24, BLANCA BELLOC 25, Salvatore Oliva 26, Mónica Llorente-Barrio 27, Carlo Maria Rossi 28, Juan Armando Rodríguez Oballe 29, Maria Luisa Masiques-Mas 30, Raúl Honrubia-López 31, Raffaella Dainese Plichon 32, Alexis González Almeida 33, Luis Bujanda Fernández de Piérola 34, Juan Khaled Bisso Zein 35, Alba Juan-Juan 36, Sara Feo Ortega 3, Verónica Martín Domínguez 4, Jennifer Fernández-Pacheco 4, Oscar Nantes Castillejo 5, Julia Nicolay Maneru 5, Marta Álvarez-García 6, Matteo Ghisa 7, Carmen Díaz-Donado 37, Paula Gil Simón 9, Alicia Granja 10, Ronald Llerena Castro 11, Roberto Penagini 12, Cecilio Santander 4, Alfredo J. Lucendo 2

1 Hospital General de Tomelloso, Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), Tomelloso, Spain|||University of Alcalá, Alcalá de Henares, Spain

2 Hospital General de Tomelloso, Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), Tomelloso, Spain|||Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, Spain

3 Hospital General de Tomelloso, Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), Tomelloso, Spain

4 Hospital Universitario de La Princesa, Madrid, Spain|||Instituto de Investigación Sanitaria La Princesa, Madrid, Spain

5 Hospital Universitario de Navarra. Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain

6 Fundacion Jiménez Díaz, Madrid, Spain

7 Azienda Ospedaliera Università di Padova, Padua, Italy

8 Hospital Universitario Central de Asturias, Oviedo, Spain|||Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain

9 Hospital Universitario Rio Hortega, Valladolid, Spain

10 Hospital Universitario de Fuenlabrada, Fuenlabrada, Spain

11 Hospital Vall d'Hebrón, Barcelona, Spain

12 Fondazione IRCCS Cà Granda - Ospedale Maggiore Policlinico, Milan, Italy

13 Hospital Universitario de Álava, Vitoria, Spain

14 Hospital de Viladecans, Viladecans, Spain

15 Humanitas Research Hospital, Rozzano, Italy

16 Hospital Universitario Puerta de Hierro, Majadahonda, Spain

17 Hospital Universitario Miguel Servet, Zaragoza, Spain

18 The North Danish Regional Hospital, Hjørring, Denmark

19 Clínica Universidad de Navarra, Pamplona, Spain

20 Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, Spain|||Hospital de Mataró, Mataró, Spain

21 Hospital Universitario de Cabueñes, Gijón, Spain

22 Hospital Universitario Severo Ochoa, Leganés, Spain

23 Hospital Universitario Ramón y Cajal, Madrid, Spain

24 Hospital del Mar, Barcelona, Spain

25 Hospital General de la Defensa, Zaragoza, Spain

26 University Hospital Umberto I - Sapienza University of Rome, Roma, Italy

27 Hospital Santa Bárbara, Soria, Spain

28 Fondazione IRCCS Policlinico San Matteo, Pavia, Italy

29 Hospital Universitario Santa María, Lérida, Spain

30 Hospital de Granollers, Granollers, Spain

31 Hospital Universitario Infanta Sofía, San Sebastián de los Reyes, Spain

32 Centre Hospitalier d’Antibes Juan-les-Pins, Antibes, France

33 Complejo Hospitalario Universitario Insular Materno Infantil, Las Palmas de Gran Canaria, Spain

34 Hospital Universitario de Donostia-Instituto Biodonostia, San Sebastián, Spain

35 Hospital Universitario Costa del Sol, Marbella, Spain

36 Hospital Sant Joan Despí Moisès Broggi, Sant Joan Despí, Spain

37 Hospital Universitario Central de Asturias, Oviedo, Spain

Event

UEG Week Berlin 2025

Topics

Histopathology Mechanisms & Personalised Medicine Oesophagus

Submission format

Abstract

Session

EoE: From gene to clinic

Citation

United European Gastroenterology Journal 2025; 13 (Supplement 8)

Published

2025
UEG Presentation
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Refractory ascites: Can we break a vicious cycle?

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Refractory ascites: Can we break a vicious cycle?

Jonel Trebicka 1

1 Translational Hepatology - University Clinic Frankfurt, Frankfurt, Germany

Event

UEG Week Berlin 2025

Topics

Hepatobiliary

Session

ACLF and cirrhosis: Are we improving care?

Citation

United European Gastroenterology Journal 2025; 13 (Supplement 8)

Published

2025
UEG Presentation
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Endoscopy surveillance: Are we still missing dysplasia?

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Endoscopy surveillance: Are we still missing dysplasia?

Marietta Iacucci 1

1 University College Cork, Cork, Ireland

Event

UEG Week Berlin 2025

Topics

Digestive Oncology Endoscopy IBD Surgery

Session

Endoscopy, cancer and IBD

Citation

United European Gastroenterology Journal 2025; 13 (Supplement 8)

Published

2025
UEG Presentation
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Connective tissue disorders

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Connective tissue disorders

Asma Fikree 1

1 University College Hospital NHS Trust, London, United Kingdom

Event

UEG Week Vienna 2024

Topics

Neurogastroenterology & Motility Primary Care

Session

The patient with a challenging functional disorder

Citation

United European Gastroenterology Journal 2024; 12 (Supplement 8)

Published

2024

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