Plasma Biomarkers of Insulin and the Insulin-like Growth Factor Axis, and Risk of Colorectal Adenoma and Serrated Polyp.


Journal

JNCI cancer spectrum
ISSN: 2515-5091
Titre abrégé: JNCI Cancer Spectr
Pays: England
ID NLM: 101721827

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 08 04 2019
revised: 11 06 2019
accepted: 26 07 2019
entrez: 25 4 2020
pubmed: 25 4 2020
medline: 25 4 2020
Statut: epublish

Résumé

Hyperinsulinemia, high insulin-like growth factor 1 (IGF1) levels, and low IGF binding protein 1 (IGFBP1) levels have been implicated in the relationship between obesity and increased risk of colorectal cancer (CRC). However, it remains inconclusive whether circulating biomarkers of insulin and the IGF axis are associated with conventional adenoma and serrated polyp, the two distinct groups of CRC precursors. We prospectively examined the associations of plasma C-peptide, IGF1, IGFBP1, IGFBP3, and IGF1 to IGFBP3 ratio with conventional adenoma and serrated polyp among 11 072 women from the Nurses' Health Studies. Multivariable logistic regression was used to calculate the odds ratio (OR) per 1-SD increase in each biomarker for overall risk of conventional adenoma and serrated polyp and according to polyp feature. During 20 years of follow-up, we documented 1234 conventional adenomas and 914 serrated polyps. After adjusting for various lifestyle factors (including body mass index), higher concentrations of IGFBP1 were associated with lower risk of serrated polyp (OR = 0.84, 95% confidence interval = 0.75 to 0.95, A higher plasma level of IGFBP1 was associated with lower risk of serrated polyp. Our findings support a potential role of IGFBP1 in the serrated pathway of CRC in women.

Sections du résumé

BACKGROUND BACKGROUND
Hyperinsulinemia, high insulin-like growth factor 1 (IGF1) levels, and low IGF binding protein 1 (IGFBP1) levels have been implicated in the relationship between obesity and increased risk of colorectal cancer (CRC). However, it remains inconclusive whether circulating biomarkers of insulin and the IGF axis are associated with conventional adenoma and serrated polyp, the two distinct groups of CRC precursors.
METHODS METHODS
We prospectively examined the associations of plasma C-peptide, IGF1, IGFBP1, IGFBP3, and IGF1 to IGFBP3 ratio with conventional adenoma and serrated polyp among 11 072 women from the Nurses' Health Studies. Multivariable logistic regression was used to calculate the odds ratio (OR) per 1-SD increase in each biomarker for overall risk of conventional adenoma and serrated polyp and according to polyp feature.
RESULTS RESULTS
During 20 years of follow-up, we documented 1234 conventional adenomas and 914 serrated polyps. After adjusting for various lifestyle factors (including body mass index), higher concentrations of IGFBP1 were associated with lower risk of serrated polyp (OR = 0.84, 95% confidence interval = 0.75 to 0.95,
CONCLUSIONS CONCLUSIONS
A higher plasma level of IGFBP1 was associated with lower risk of serrated polyp. Our findings support a potential role of IGFBP1 in the serrated pathway of CRC in women.

Identifiants

pubmed: 32328558
doi: 10.1093/jncics/pkz056
pii: pkz056
pmc: PMC7050032
doi:

Types de publication

Journal Article

Langues

eng

Pagination

pkz056

Informations de copyright

© The Author(s) 2019. Published by Oxford University Press.

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Auteurs

Dong Hang (D)

Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China.
Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.

Xiaosheng He (X)

Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA.
Department of Colorectal Surgery, the Six Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

Ane Sørlie Kværner (AS)

Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.

Andrew T Chan (AT)

Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA.
Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA.

Kana Wu (K)

Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.

Shuji Ogino (S)

Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA.
Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA.
Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA.
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.

Zhibin Hu (Z)

Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China.

Hongbing Shen (H)

Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China.

Michael N Pollak (MN)

Department of Oncology, McGill University, Montreal, Quebec, Canada.

Edward L Giovannucci (EL)

Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.

Mingyang Song (M)

Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA.
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.

Classifications MeSH