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Risk Prediction of Metachronous Colorectal Cancer from Molecular Features of Adenomas: A Nested Case–Control Study

Current morphologic features defining advanced adenomas (size ≥10 mm, high-grade dysplasia or ≥25% villous component) cannot optimally distinguish individuals at high risk or low risk of metachronous colorectal cancer (me-CRC), which may result in suboptimal surveillance. Certain DNA copy-number alt...

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Autores principales: Jodal, Henriette C., Akwiwu, Eddymurphy U., Lemmens, Margriet, Delis-van Diemen, Pien M., Klotz, Dagmar, Leon, Leticia G., Lakbir, Soufyan, de Wit, Meike, Fijneman, Remond J.A., van Leerdam, Monique E., Dekker, Evelien, Spaander, Manon C.W., Meijer, Gerrit A., Løberg, Magnus, Coupé, Veerle M.H., Kalager, Mette, Carvalho, Beatriz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642372/
https://www.ncbi.nlm.nih.gov/pubmed/37921412
http://dx.doi.org/10.1158/2767-9764.CRC-23-0186
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author Jodal, Henriette C.
Akwiwu, Eddymurphy U.
Lemmens, Margriet
Delis-van Diemen, Pien M.
Klotz, Dagmar
Leon, Leticia G.
Lakbir, Soufyan
de Wit, Meike
Fijneman, Remond J.A.
van Leerdam, Monique E.
Dekker, Evelien
Spaander, Manon C.W.
Meijer, Gerrit A.
Løberg, Magnus
Coupé, Veerle M.H.
Kalager, Mette
Carvalho, Beatriz
author_facet Jodal, Henriette C.
Akwiwu, Eddymurphy U.
Lemmens, Margriet
Delis-van Diemen, Pien M.
Klotz, Dagmar
Leon, Leticia G.
Lakbir, Soufyan
de Wit, Meike
Fijneman, Remond J.A.
van Leerdam, Monique E.
Dekker, Evelien
Spaander, Manon C.W.
Meijer, Gerrit A.
Løberg, Magnus
Coupé, Veerle M.H.
Kalager, Mette
Carvalho, Beatriz
author_sort Jodal, Henriette C.
collection PubMed
description Current morphologic features defining advanced adenomas (size ≥10 mm, high-grade dysplasia or ≥25% villous component) cannot optimally distinguish individuals at high risk or low risk of metachronous colorectal cancer (me-CRC), which may result in suboptimal surveillance. Certain DNA copy-number alterations (CNAs) are associated with adenoma-to-carcinoma progression. We aimed to evaluate whether these molecular features can better predict an individual's risk of me-CRC than the morphologic advanced adenoma features. In this nested case–control study, 529 individuals with a single adenoma at first colonoscopy were selected from a Norwegian adenoma cohort. DNA copy-number profiles were determined, by low-coverage whole-genome sequencing. Prevalence of CNAs in advanced and non-advanced adenomas and its association (OR) with me-CRC was assessed. For the latter, cases (with me-CRC) were matched to controls (without me-CRC) on follow-up, age and sex. CNAs associated with adenoma-to-carcinoma progression were observed in 85/267 (32%) of advanced adenomas and in 27/262 (10%) of non-advanced adenomas. me-CRC was statistically significantly associated, also after adjustment for other variables, with age at baseline [OR, 1.14; 95% confidence interval CI), 1.03–1.26; P = 0.012], advanced adenomas (OR, 2.46; 95% CI, 1.50–4.01; P < 0.001) and with the presence of ≥3 DNA copy-number losses (OR, 1.90; 95% CI. 1.02–3.54; P = 0.043). Molecularly-defined high-risk adenomas were associated with me-CRC, but the association of advanced adenoma with me-CRC was stronger. SIGNIFICANCE: Identifying new biomarkers may improve prediction of me-CRC for individuals with adenomas and optimize surveillance intervals to reduce risk of colorectal cancer and reduce oversurveillance of patients with low risk of colorectal cancer. Use of DNA CNAs alone does not improve prediction of me-CRC. Further research to improve risk classification is required.
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spelling pubmed-106423722023-11-14 Risk Prediction of Metachronous Colorectal Cancer from Molecular Features of Adenomas: A Nested Case–Control Study Jodal, Henriette C. Akwiwu, Eddymurphy U. Lemmens, Margriet Delis-van Diemen, Pien M. Klotz, Dagmar Leon, Leticia G. Lakbir, Soufyan de Wit, Meike Fijneman, Remond J.A. van Leerdam, Monique E. Dekker, Evelien Spaander, Manon C.W. Meijer, Gerrit A. Løberg, Magnus Coupé, Veerle M.H. Kalager, Mette Carvalho, Beatriz Cancer Res Commun Research Article Current morphologic features defining advanced adenomas (size ≥10 mm, high-grade dysplasia or ≥25% villous component) cannot optimally distinguish individuals at high risk or low risk of metachronous colorectal cancer (me-CRC), which may result in suboptimal surveillance. Certain DNA copy-number alterations (CNAs) are associated with adenoma-to-carcinoma progression. We aimed to evaluate whether these molecular features can better predict an individual's risk of me-CRC than the morphologic advanced adenoma features. In this nested case–control study, 529 individuals with a single adenoma at first colonoscopy were selected from a Norwegian adenoma cohort. DNA copy-number profiles were determined, by low-coverage whole-genome sequencing. Prevalence of CNAs in advanced and non-advanced adenomas and its association (OR) with me-CRC was assessed. For the latter, cases (with me-CRC) were matched to controls (without me-CRC) on follow-up, age and sex. CNAs associated with adenoma-to-carcinoma progression were observed in 85/267 (32%) of advanced adenomas and in 27/262 (10%) of non-advanced adenomas. me-CRC was statistically significantly associated, also after adjustment for other variables, with age at baseline [OR, 1.14; 95% confidence interval CI), 1.03–1.26; P = 0.012], advanced adenomas (OR, 2.46; 95% CI, 1.50–4.01; P < 0.001) and with the presence of ≥3 DNA copy-number losses (OR, 1.90; 95% CI. 1.02–3.54; P = 0.043). Molecularly-defined high-risk adenomas were associated with me-CRC, but the association of advanced adenoma with me-CRC was stronger. SIGNIFICANCE: Identifying new biomarkers may improve prediction of me-CRC for individuals with adenomas and optimize surveillance intervals to reduce risk of colorectal cancer and reduce oversurveillance of patients with low risk of colorectal cancer. Use of DNA CNAs alone does not improve prediction of me-CRC. Further research to improve risk classification is required. American Association for Cancer Research 2023-11-13 /pmc/articles/PMC10642372/ /pubmed/37921412 http://dx.doi.org/10.1158/2767-9764.CRC-23-0186 Text en © 2023 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by/4.0/This open access article is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
spellingShingle Research Article
Jodal, Henriette C.
Akwiwu, Eddymurphy U.
Lemmens, Margriet
Delis-van Diemen, Pien M.
Klotz, Dagmar
Leon, Leticia G.
Lakbir, Soufyan
de Wit, Meike
Fijneman, Remond J.A.
van Leerdam, Monique E.
Dekker, Evelien
Spaander, Manon C.W.
Meijer, Gerrit A.
Løberg, Magnus
Coupé, Veerle M.H.
Kalager, Mette
Carvalho, Beatriz
Risk Prediction of Metachronous Colorectal Cancer from Molecular Features of Adenomas: A Nested Case–Control Study
title Risk Prediction of Metachronous Colorectal Cancer from Molecular Features of Adenomas: A Nested Case–Control Study
title_full Risk Prediction of Metachronous Colorectal Cancer from Molecular Features of Adenomas: A Nested Case–Control Study
title_fullStr Risk Prediction of Metachronous Colorectal Cancer from Molecular Features of Adenomas: A Nested Case–Control Study
title_full_unstemmed Risk Prediction of Metachronous Colorectal Cancer from Molecular Features of Adenomas: A Nested Case–Control Study
title_short Risk Prediction of Metachronous Colorectal Cancer from Molecular Features of Adenomas: A Nested Case–Control Study
title_sort risk prediction of metachronous colorectal cancer from molecular features of adenomas: a nested case–control study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642372/
https://www.ncbi.nlm.nih.gov/pubmed/37921412
http://dx.doi.org/10.1158/2767-9764.CRC-23-0186
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