IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0110574.html
   My bibliography  Save this article

Biospecimen Long-Chain N-3 PUFA and Risk of Colorectal Cancer: A Meta-Analysis of Data from 60,627 Individuals

Author

Listed:
  • Bo Yang
  • Feng-Lei Wang
  • Xiao-Li Ren
  • Duo Li

Abstract

Background: Several prospective cohort and case-control studies reported the inconsistent association between biospecimen composition of C20 and C22 long-chain (LC) n-3 polyunsaturated fatty acid (PUFA) and colorectal cancer (CRC) risk. The aim of the present study was to investigate the association of biospecimen LC n-3 PUFA with CRC risk based on prospective cohort and case-control studies. Methods and Results: Cochrane Library, PubMed, and EMBASE database were searched up to February 2014 for eligible studies. Risk ratios (RRs) or odds ratios (ORs) from prospective and case-control studies were combined using a random-effects model in the highest vs. lowest categorical analysis. Nonlinear dose-response relationships were assessed using restricted cubic spline regression models. Difference in tissue composition of LC n-3 PUFA between cases and noncases was analyzed as standardized mean difference (SMD). Three prospective cohort studies and 8 case-control studies were included in the present study, comprising 60,627 participants (1,499 CRC cases and 59,128 noncases). Higher biospecimen LC n-3 PUFA was significantly associated with a lower risk of CRC in case-control (pooled OR: 0.76; 95% CI: 0.59, 0.97; I2 = 10.00%) and prospective cohort studies (pooled RR: 0.70; 95% CI: 0.55, 0.88; I2 = 0.00%), respectively. A significant dose-response association was found of biospecimen C20:5n-3 (P for nonlinearity = 0.02) and C22:6n-3 (P for trend = 0.01) with CRC risk, respectively. Subjects without CRC have significantly higher biospecimen compositions of C20:5n-3 (SMD: 0.27; 95%: 0.13, 0.41), C22:6n-3 (SMD: 0.23; 95%: 0.11, 0.34) and total LC n-3 PUFA (SMD: 0.22; 95% CI: 0.07, 0.37) compared with those with CRC. Conclusions: The present evidence suggests human tissue compositions of LC n-3 PUFA may be an independent predictive factor for CRC risk, especially C20:5n-3 and C22:6n-3. This needs to be confirmed with more large-scale prospective cohort studies.

Suggested Citation

  • Bo Yang & Feng-Lei Wang & Xiao-Li Ren & Duo Li, 2014. "Biospecimen Long-Chain N-3 PUFA and Risk of Colorectal Cancer: A Meta-Analysis of Data from 60,627 Individuals," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-13, November.
    • Handle: RePEc:plo:pone00:0110574
    DOI: 10.1371/journal.pone.0110574
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0110574
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0110574&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0110574?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Liu, Qin & Cook, Nancy R. & Bergström, Anna & Hsieh, Chung-Cheng, 2009. "A two-stage hierarchical regression model for meta-analysis of epidemiologic nonlinear dose-response data," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4157-4167, October.
    2. Nicola Orsini & Rino Bellocco & Sander Greenland, 2006. "Generalized least squares for trend estimation of summarized dose–response data," Stata Journal, StataCorp LP, vol. 6(1), pages 40-57, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Crippa, Alessio & Orsini, Nicola, 2016. "Multivariate Dose-Response Meta-Analysis: The dosresmeta R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 72(c01).
    2. Ali, Mumtaz & Prasad, Ramendra & Xiang, Yong & Deo, Ravinesh C., 2020. "Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    3. Meng-Bo Hu & Sheng-Hua Liu & Hao-Wen Jiang & Pei-De Bai & Qiang Ding, 2014. "Obesity Affects the Biopsy-Mediated Detection of Prostate Cancer, Particularly High-Grade Prostate Cancer: A Dose-Response Meta-Analysis of 29,464 Patients," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-10, September.
    4. Yulan Wang & Ran Cui & Yuanyuan Xiao & Juemin Fang & Qing Xu, 2015. "Effect of Carotene and Lycopene on the Risk of Prostate Cancer: A Systematic Review and Dose-Response Meta-Analysis of Observational Studies," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-20, September.
    5. Rui Zhang & Jialin Fu & Justin B. Moore & Lee Stoner & Rui Li, 2021. "Processed and Unprocessed Red Meat Consumption and Risk for Type 2 Diabetes Mellitus: An Updated Meta-Analysis of Cohort Studies," IJERPH, MDPI, vol. 18(20), pages 1-15, October.
    6. Martin Gaksch & Rolf Jorde & Guri Grimnes & Ragnar Joakimsen & Henrik Schirmer & Tom Wilsgaard & Ellisiv B Mathiesen & Inger Njølstad & Maja-Lisa Løchen & Winfried März & Marcus E Kleber & Andreas Tom, 2017. "Vitamin D and mortality: Individual participant data meta-analysis of standardized 25-hydroxyvitamin D in 26916 individuals from a European consortium," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-15, February.
    7. GuoChao Zhong & Yi Wang & Yong Zhang & Yong Zhao, 2015. "Association between Benzodiazepine Use and Dementia: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-16, May.
    8. Eujene Jung & So Yeon Kong & Young Sun Ro & Hyun Ho Ryu & Sang Do Shin, 2022. "Serum Cholesterol Levels and Risk of Cardiovascular Death: A Systematic Review and a Dose-Response Meta-Analysis of Prospective Cohort Studies," IJERPH, MDPI, vol. 19(14), pages 1-12, July.
    9. Doris S M Chan & Rosa Lau & Dagfinn Aune & Rui Vieira & Darren C Greenwood & Ellen Kampman & Teresa Norat, 2011. "Red and Processed Meat and Colorectal Cancer Incidence: Meta-Analysis of Prospective Studies," PLOS ONE, Public Library of Science, vol. 6(6), pages 1-11, June.
    10. Laura Pimpin & Jason H Y Wu & Hila Haskelberg & Liana Del Gobbo & Dariush Mozaffarian, 2016. "Is Butter Back? A Systematic Review and Meta-Analysis of Butter Consumption and Risk of Cardiovascular Disease, Diabetes, and Total Mortality," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-18, June.
    11. Dongsheng Cheng & Yang Fei & Yumei Liu & Junhui Li & Qin Xue & Xiaoxia Wang & Niansong Wang, 2014. "HbA1C Variability and the Risk of Renal Status Progression in Diabetes Mellitus: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-13, December.
    12. Bijing Mao & Yafei Li & Zhimin Zhang & Chuan Chen & Yuanyuan Chen & Chenchen Ding & Lin Lei & Jian Li & Mei Jiang & Dong Wang & Ge Wang, 2015. "One-Carbon Metabolic Factors and Risk of Renal Cell Cancer: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-10, October.
    13. Jing-Wei Li & Cui Xu & Ye Fan & Yong Wang & Ying-Bin Xiao, 2014. "Can Serum Levels of Alkaline Phosphatase and Phosphate Predict Cardiovascular Diseases and Total Mortality in Individuals with Preserved Renal Function? A Systemic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-14, July.
    14. Liu, Qin & Cook, Nancy R. & Bergström, Anna & Hsieh, Chung-Cheng, 2009. "A two-stage hierarchical regression model for meta-analysis of epidemiologic nonlinear dose-response data," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4157-4167, October.
    15. Guochao Zhong & Yi Wang & Yong Zhang & Jeff Jianfei Guo & Yong Zhao, 2015. "Smoking Is Associated with an Increased Risk of Dementia: A Meta-Analysis of Prospective Cohort Studies with Investigation of Potential Effect Modifiers," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-23, March.
    16. Hai Pham & Aninda Rahman & Azam Majidi & Mary Waterhouse & Rachel E. Neale, 2019. "Acute Respiratory Tract Infection and 25-Hydroxyvitamin D Concentration: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 16(17), pages 1-15, August.
    17. Yun-Liang Wang & Yu-Tong Wang & Jin-Feng Li & Yu-Zheng Zhang & Hong-Lei Yin & Bing Han, 2015. "Body Mass Index and Risk of Parkinson’s Disease: A Dose-Response Meta-Analysis of Prospective Studies," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-12, June.
    18. Aliasghar Ahmad Kiadaliri & Johan Jarl & Georgios Gavriilidis & Ulf-G Gerdtham, 2013. "Alcohol Drinking Cessation and the Risk of Laryngeal and Pharyngeal Cancers: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-10, March.
    19. Rui Rui & Jiao Lou & Li Zou & Rong Zhong & Ji Wang & Ding Xia & Qi Wang & Heng Li & Jing Wu & Xuzai Lu & Chuanqi Li & Li Liu & Jiahong Xia & Hua Xu, 2012. "Excess Body Mass Index and Risk of Liver Cancer: A Nonlinear Dose-Response Meta-Analysis of Prospective Studies," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-7, September.
    20. Josephine Y Chau & Anne C Grunseit & Tien Chey & Emmanuel Stamatakis & Wendy J Brown & Charles E Matthews & Adrian E Bauman & Hidde P van der Ploeg, 2013. "Daily Sitting Time and All-Cause Mortality: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0110574. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.