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DOI 10.1007/s10689-026-00552-5

Медицинская библиотека · Familial cancer · 2026

Lynch syndrome integrative epidemiology and genetics (LINEAGE): rationale for cohort design.

Patel Swati G, Loomans-Kropp Holli A, Foda Zachariah H, Katona Bryson W, Birz Suzi, Burke Carol A, Clawson Jordan, Furner Brian, Hochheimer Camille, Magnan Elizabeth, Ricciardiello Luigi, Singh Harminder, Volchenboum Samuel, Watkins Michael, Yen Timothy, Abbass Mohammad, Bartell Nicholas J, Dudley Beth, Engelking Luke, Guillem Jose, Hollis Robert, Idos Gregory, Jones Blake A, Kanth Priyanka, Kastrinos Fay, Li Dan, Lucas Aimee L, Mankaney Gautam N, Maratt Jennifer K, Marino Danielle, Melson Joshua, Nguyen Long H, Reddy Kavya M, Schrader Kasmintan A, Silva-Smith Rachel, Singh Aparajita, Stanich Peter P, Stoffel Elena M, Syngal Sapna, Weiss Jennifer M, Yurgelun Matthew B, Zakalik Dana, Gupta Samir, Bansal Ajay, Kupfer Sonia S, LINEAGE Consortium

Протокол клинического исследованияСтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

BACKGROUND

The Lynch syndrome INtegrative Epidemiology And GEnetics (LINEAGE) consortium was established to address gaps in understanding genotype-specific cancer risks and risk-modifiers in contemporary North American Lynch syndrome (LS) populations. LINEAGE is a multi-center, longitudinal cohort to systematically collect data on risk factors, adherence to care, quality of surveillance, and patient-, provider-, and system-level factors associated with incident LS-associated cancers.

METHODS

LINEAGE recruits individuals with confirmed pathogenic or likely pathogenic variants in LS-associated genes from participating institutions. Data includes retrospective and prospective collection, encompassing clinical abstraction (demographics, surgical history, endoscopic data, treatments), patient-reported surveys (behavioral/lifestyle factors, quality of life, procedures), endoscopist-level data, and biosample metadata. A standardized REDCap database, data harmonization protocols, and a virtual biobank support reproducibility and linkage of clinical data and biosamples. Rigorous quality assurance/quality control processes are embedded for data integrity.

RESULTS

Participating centers will contribute data to determine gene-specific risks, and gene-environment interactions for Lynch-associated, and other cancers. We will evaluate associations with exposure to, and quality of cancer risk-reduction care, including endoscopic surveillance, risk-reduction surgery, and chemoprevention. The inclusion of provider-level variables, such as endoscopist training and experience, enables unique research into modifiers of post-endoscopy cancer risk. The linked biosample resources will further facilitate mechanistic studies and biomarker discovery.

CONCLUSIONS

LINEAGE provides a robust platform for advancing LS research by integration of clinical, pathological, epidemiological and genetic data across institutions. Its standardized, collaborative framework enhances the validity and generalizability of risk estimates that will guide decision-making and policy for surveillance to ultimately reduce morbidity and mortality for individuals with Lynch syndrome.

Для цитирования: Patel Swati G, Loomans-Kropp Holli A, Foda Zachariah H, Katona Bryson W, Birz Suzi, Burke Carol A, Clawson Jordan, Furner Brian, Hochheimer Camille, Magnan Elizabeth, Ricciardiello Luigi, Singh Harminder, Volchenboum Samuel, Watkins Michael, Yen Timothy, Abbass Mohammad, Bartell Nicholas J, Dudley Beth, Engelking Luke, Guillem Jose, Hollis Robert, Idos Gregory, Jones Blake A, Kanth Priyanka, Kastrinos Fay, Li Dan, Lucas Aimee L, Mankaney Gautam N, Maratt Jennifer K, Marino Danielle, Melson Joshua, Nguyen Long H, Reddy Kavya M, Schrader Kasmintan A, Silva-Smith Rachel, Singh Aparajita, Stanich Peter P, Stoffel Elena M, Syngal Sapna, Weiss Jennifer M, Yurgelun Matthew B, Zakalik Dana, Gupta Samir, Bansal Ajay, Kupfer Sonia S, LINEAGE Consortium. Lynch syndrome integrative epidemiology and genetics (LINEAGE): rationale for cohort design.. Familial cancer. 2026. DOI: 10.1007/s10689-026-00552-5.

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