International case-control study of DNA methylation biomarkers for the minimally invasive diagnosis of esophageal squamous cell carcinoma

BACKGROUND: Esophageal squamous cell carcinoma (ESCC), the most common type of esophageal cancer worldwide, is usually diagnosed via esophagogastroduodenoscopy (EGD), an expensive procedure having limited availability in low- and Middle-Income countries (LMICs). We therefore developed diagnostic strategy that applies ESCC-specific DNA methylation biomarkers to nonendoscopically-obtained esophageal mucosal samples. METHODS: Using a novel approach based on a search of 5 publicly available GEO and TCGA datasets, in particular, it has 196 organ-specific normal controls. We selected 6 new methylation markers, combining these with 5 markers identified in a previous study. We then performed a case-control analysis of 174 esophageal cytologic samples collected using a swallowable sponge-capsule device from 93 patients with ESCC and 81 non-cancer control patients. Based on these molecular data, a classification algorithm was built in a training set of 122 patients using the Least Absolute Shrinkage and Selection Operator (LASSO) method, which was then tested in a separate cohort of 52 patients. Coefficients of the Lasso regression model were used to select markers that contributed most strongly to the classification. RESULTS: All 11 markers tested exhibited significantly higher methylation levels in all 93 ESCC sponge samples than in 81 normal control sponges, with p-values below 0.001. Furthermore, individual areas under the ROC curve (AUCs) for the 11 markers C1ORF70, PPFIA3, SKOR1, ZNF132, TAC1, JPH4, ZNF542, KLF16, CG20655070, SLC35 and PAX9 were 0.91, 0.90, 0.89, 0.89, 0.89, 0.89, 0.87, 0.87, 0.83, 0.82, 0.81, and 0.65, respectively. Based on LASSO regression applied to all 11 markers, four (C1ORF70, CG20655070, SKOR1 and PPFIA3) were retained in our final model. A composite score based on this final model achieved an AUC of 0.93 in the 122-patient training cohort and 0.92 in the 52-patient test set. CONCLUSIONS: When used in combination with a minimally invasive sponge-capsule device, ESCC methylation biomarkers may improve diagnosis of ESCC. This strategy harbors potential to mitigate the deadly worldwide public health impact of ESCC.

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Journal
Clinical and Translational Gastroenterology
Published
2026-09-11
DOI
https://doi.org/10.14309/ctg.0000000000001089
Primary Topic
Esophageal Cancer Research and Treatment
Type
article
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article

International case-control study of DNA methylation biomarkers for the minimally invasive diagnosis of esophageal squamous cell carcinoma

Samson Okello, Katherine Van Loon, Yousra Ahmed, Alexander C. Hasnain et al.
Clinical and Translational Gastroenterology
Esophageal Cancer Research and Treatment
article

International case-control study of DNA methylation biomarkers for the minimally invasive diagnosis of esophageal squamous cell carcinoma

Samson Okello, Katherine Van Loon, Yousra Ahmed, Alexander C. Hasnain, Florence Tusiime, Yulan Cheng, Stephen J. Meltzer, Paul Stephen Obwoya, Caleb Tuhumwire, Shayan Gheshlaghi, Christine Tumuhimbise, Patarajarin Akarapipad, James P. Hamilton, Msiba Selekwa, Yifan Yang, Kija Luhuti, Vikesh Singh, Emmanuel Byaruhanga, Beatrice Mushi, Geoffrey Buckle, Adithi Banavar, Yona Ringo, Kuangwen Hsieh, Tza-Huei Wang, Mouen Khashab, Saowanee Ngamruenghphong, Ke Ma, Elia Mmbage, Kelly Fan, Eun Ji Shin
article en

Abstract

BACKGROUND: Esophageal squamous cell carcinoma (ESCC), the most common type of esophageal cancer worldwide, is usually diagnosed via esophagogastroduodenoscopy (EGD), an expensive procedure having limited availability in low- and Middle-Income countries (LMICs). We therefore developed diagnostic strategy that applies ESCC-specific DNA methylation biomarkers to nonendoscopically-obtained esophageal mucosal samples. METHODS: Using a novel approach based on a search of 5 publicly available GEO and TCGA datasets, in particular, it has 196 organ-specific normal controls. We selected 6 new methylation markers, combining these with 5 markers identified in a previous study. We then performed a case-control analysis of 174 esophageal cytologic samples collected using a swallowable sponge-capsule device from 93 patients with ESCC and 81 non-cancer control patients. Based on these molecular data, a classification algorithm was built in a training set of 122 patients using the Least Absolute Shrinkage and Selection Operator (LASSO) method, which was then tested in a separate cohort of 52 patients. Coefficients of the Lasso regression model were used to select markers that contributed most strongly to the classification. RESULTS: All 11 markers tested exhibited significantly higher methylation levels in all 93 ESCC sponge samples than in 81 normal control sponges, with p-values below 0.001. Furthermore, individual areas under the ROC curve (AUCs) for the 11 markers C1ORF70, PPFIA3, SKOR1, ZNF132, TAC1, JPH4, ZNF542, KLF16, CG20655070, SLC35 and PAX9 were 0.91, 0.90, 0.89, 0.89, 0.89, 0.89, 0.87, 0.87, 0.83, 0.82, 0.81, and 0.65, respectively. Based on LASSO regression applied to all 11 markers, four (C1ORF70, CG20655070, SKOR1 and PPFIA3) were retained in our final model. A composite score based on this final model achieved an AUC of 0.93 in the 122-patient training cohort and 0.92 in the 52-patient test set. CONCLUSIONS: When used in combination with a minimally invasive sponge-capsule device, ESCC methylation biomarkers may improve diagnosis of ESCC. This strategy harbors potential to mitigate the deadly worldwide public health impact of ESCC.

Clinical and Translational Gastroenterology
University of North Carolina at Chapel Hill (US), Mbarara University of Science and Technology (UG), Johns Hopkins University (US), Muhimbili University of Health and Allied Sciences (TZ), University of California, San Francisco (US), Johns Hopkins Medicine (US), Mbarara National Referral Hospital (UG), St. Louis University High School (US), Sidney Kimmel Comprehensive Cancer Center (US), UCSF Helen Diller Family Comprehensive Cancer Center (US), Saint Louis University (US), University of Baltimore (US)
No poverty
Openalex Percentile: Top 8%
Esophageal Cancer Research and Treatment
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