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Cancer Epidemiology, Biomarkers & Prevention
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Research Articles

Night-Shift Work Duration and Risk of Colorectal Cancer According to IRS1 and IRS2 Expression

Yan Shi, Li Liu, Tsuyoshi Hamada, Jonathan A. Nowak, Marios Giannakis, Yanan Ma, Mingyang Song, Daniel Nevo, Keisuke Kosumi, Mancang Gu, Sun A. Kim, Teppei Morikawa, Kana Wu, Jing Sui, Kyriaki Papantoniou, Molin Wang, Andrew T. Chan, Charles S. Fuchs, Jeffrey A. Meyerhardt, Edward Giovannucci, Shuji Ogino, Eva S. Schernhammer, Reiko Nishihara and Xuehong Zhang
Yan Shi
1Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
2Department of Medical Oncology, Chinese PLA General Hospital, Beijing, China.
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Li Liu
1Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
3Department of Epidemiology and Biostatistics, and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China.
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Tsuyoshi Hamada
1Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
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Jonathan A. Nowak
4Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
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Marios Giannakis
5Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, Massachusetts.
6Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
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Yanan Ma
7Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
8Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China.
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Mingyang Song
9Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
10Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
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Daniel Nevo
11Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
12Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
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Keisuke Kosumi
1Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
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Mancang Gu
1Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
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Sun A. Kim
13Laboratory of Human Carcinogenesis, NCI, NIH, Bethesda, Maryland.
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Teppei Morikawa
14Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
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Kana Wu
15Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
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Jing Sui
7Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
16Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu, China.
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Kyriaki Papantoniou
17Department of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria.
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Molin Wang
11Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
12Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
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Andrew T. Chan
5Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, Massachusetts.
7Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
9Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
10Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
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Charles S. Fuchs
7Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
18Yale Cancer Center, New Haven, Connecticut.
19Department of Medicine, Yale School of Medicine, New Haven, Connecticut.
20Smilow Cancer Hospital, New Haven, Connecticut.
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Jeffrey A. Meyerhardt
6Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
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Edward Giovannucci
7Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
12Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
15Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
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Shuji Ogino
1Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
4Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
5Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, Massachusetts.
12Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
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Eva S. Schernhammer
7Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
12Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
17Department of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria.
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  • ORCID record for Eva S. Schernhammer
  • For correspondence: xuehong.zhang@channing.harvard.edu reiko.nishihara@mail.harvard.edu eva.schernhammer@channing.harvard.edu
Reiko Nishihara
1Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
4Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
5Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, Massachusetts.
11Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
12Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
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  • For correspondence: xuehong.zhang@channing.harvard.edu reiko.nishihara@mail.harvard.edu eva.schernhammer@channing.harvard.edu
Xuehong Zhang
7Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
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  • For correspondence: xuehong.zhang@channing.harvard.edu reiko.nishihara@mail.harvard.edu eva.schernhammer@channing.harvard.edu
DOI: 10.1158/1055-9965.EPI-19-0325 Published January 2020
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Abstract

Background: We hypothesized that the risk of colorectal cancer in night-shift workers might be different according to insulin receptor substrate status.

Methods: Among 77,470 eligible women having night work assessed in the Nurses' Health Study, we documented a total of 1,397 colorectal cancer cases, of which 304 or 308 had available data on IRS1 and IRS2, respectively. We used duplication-method Cox proportional hazards regression analysis for competing risks to calculate HRs and 95% confidence intervals (CI) for each colorectal cancer subtype. We measured tumor IRS1 or IRS2 expression by immunohistochemistry (IHC).

Results: Compared with women who never worked night shifts, those working ≥15 years night shifts had a marginal trend of increased overall risk of colorectal cancer (Ptrend = 0.06; multivariable HR = 1.20; 95% CI, 0.99–1.45). Longer duration of night-shift work was associated with a higher risk of IRS2-positive tumors (multivariable HR = 2.69; 95% CI, 1.48–4.89; Ptrend = 0.001, ≥15 years night shifts vs. never) but not with IRS2-negative tumors (multivariable HR = 0.90; 95% CI, 0.54–1.51; Ptrend = 0.72; Pheterogeneity for IRS2 = 0.008). Similarly, the corresponding multivariable HRs were 1.81 for IRS1-positive tumors (95% CI, 0.94–3.48; Ptrend = 0.06) and 1.13 for IRS1-negative tumors (95% CI, 0.71–1.80; Ptrend = 0.56; Pheterogeneity for IRS1 = 0.02).

Conclusions: Our molecular pathologic epidemiology data suggest a potential role of IRS in mediating carcinogenesis induced by night-shift work.

Impact: Although these findings need validation, rotating night shift might increase colorectal cancer risk in women with abnormal insulin receptor pathways.

Footnotes

  • Note: Supplementary data for this article are available at Cancer Epidemiology, Biomarkers & Prevention Online (http://cebp.aacrjournals.org/).

  • Cancer Epidemiol Biomarkers Prev 2020;29:133–40

  • Received March 25, 2019.
  • Revision received August 5, 2019.
  • Accepted October 11, 2019.
  • Published first October 30, 2019.
  • ©2019 American Association for Cancer Research.
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Cancer Epidemiology Biomarkers & Prevention: 29 (1)
January 2020
Volume 29, Issue 1
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Night-Shift Work Duration and Risk of Colorectal Cancer According to IRS1 and IRS2 Expression
Yan Shi, Li Liu, Tsuyoshi Hamada, Jonathan A. Nowak, Marios Giannakis, Yanan Ma, Mingyang Song, Daniel Nevo, Keisuke Kosumi, Mancang Gu, Sun A. Kim, Teppei Morikawa, Kana Wu, Jing Sui, Kyriaki Papantoniou, Molin Wang, Andrew T. Chan, Charles S. Fuchs, Jeffrey A. Meyerhardt, Edward Giovannucci, Shuji Ogino, Eva S. Schernhammer, Reiko Nishihara and Xuehong Zhang
Cancer Epidemiol Biomarkers Prev January 1 2020 (29) (1) 133-140; DOI: 10.1158/1055-9965.EPI-19-0325

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Night-Shift Work Duration and Risk of Colorectal Cancer According to IRS1 and IRS2 Expression
Yan Shi, Li Liu, Tsuyoshi Hamada, Jonathan A. Nowak, Marios Giannakis, Yanan Ma, Mingyang Song, Daniel Nevo, Keisuke Kosumi, Mancang Gu, Sun A. Kim, Teppei Morikawa, Kana Wu, Jing Sui, Kyriaki Papantoniou, Molin Wang, Andrew T. Chan, Charles S. Fuchs, Jeffrey A. Meyerhardt, Edward Giovannucci, Shuji Ogino, Eva S. Schernhammer, Reiko Nishihara and Xuehong Zhang
Cancer Epidemiol Biomarkers Prev January 1 2020 (29) (1) 133-140; DOI: 10.1158/1055-9965.EPI-19-0325
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