A machine learning-based transcriptomic signature for predicting tumor recurrence after curative resection in T1 colorectal cancer: a retrospective multicenter cohort study (The Tw1CE trial).

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Title: A machine learning-based transcriptomic signature for predicting tumor recurrence after curative resection in T1 colorectal cancer: a retrospective multicenter cohort study (The Tw1CE trial).
Authors: Noma T; Department of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Biomedical Research Center, Monrovia, CA, USA.; Department of Surgery, Tokushima University, Tokushima, Japan., Saez de Gordoa K; Pathology Department, Centre for Biomedical Diagnosis, Hospital Clinic Barcelona, Barcelona, Spain., Daca-Alvarez M; Department of Gastroenterology, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Spain., Miyazaki K; Department of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Biomedical Research Center, Monrovia, CA, USA.; Department of Surgery, Tokushima University, Tokushima, Japan., Wada Y; Department of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Biomedical Research Center, Monrovia, CA, USA.; Department of Surgery, Tokushima University, Tokushima, Japan., Mannucci A; Department of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Biomedical Research Center, Monrovia, CA, USA.; Gastroenterology and Gastrointestinal Endoscopy Unit, Vita-Salute San Raffaele University, IRCCS San Raffaele Hospital, Milan, Italy., Onoyama T; Department of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Biomedical Research Center, Monrovia, CA, USA.; Department of Gastroenterology and Nephrology, Tottori University, Tottori, Japan., Shimada M; Department of Surgery, Tokushima University, Tokushima, Japan., Cuatrecasas M; Pathology Department, Centre for Biomedical Diagnosis, Hospital Clinic Barcelona, Barcelona, Spain., Bujanda L; Gastroenterology Department, Instituto Biodonostia, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Universidad del País Vasco (UPV/EHU), San Sebastián, Spain., Pellise M; Department of Gastroenterology, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Spain., Goel A; Department of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Biomedical Research Center, Monrovia, CA, USA.; City of Hope Comprehensive Cancer Center, Duarte, CA, USA.
Corporate Authors: part of the EpiT1 Consortium
Source: International journal of surgery (London, England) [Int J Surg] 2026 Jan 28. Date of Electronic Publication: 2026 Jan 28.
Publication Type: Journal Article
Journal Info: Publisher: Wolters Kluwer Health, Inc Country of Publication: United States NLM ID: 101228232 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1743-9159 (Electronic) Linking ISSN: 17439159 NLM ISO Abbreviation: Int J Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1743-9159
DOI:10.1097/JS9.0000000000004690