European Journal of Nutrition

, Volume 58, Issue 4, pp 1591–1602 | Cite as

Vitamin B2 intake reduces the risk for colorectal cancer: a dose–response analysis

  • Shuai Ben
  • Mulong Du
  • Gaoxiang Ma
  • Jianhua Qu
  • Liyang Zhu
  • Haiyan Chu
  • Zhengdong Zhang
  • Yuan WuEmail author
  • Dongying GuEmail author
  • Meilin WangEmail author
Original Contribution



Several epidemiological studies have assessed the ability of vitamin B2 to prevent colorectal cancer (CRC), but the results are controversial results. We conducted a dose–response meta-analysis to investigate the association between vitamin B2 and CRC risk.


We searched the PubMed and EMBASE database until January 3, 2018 to identify relevant studies. The pooled relative risks (RRs) with the corresponding 95% confidence intervals (CIs) were calculated using a random-effects model or fixed-effects model. The dose–response relationship was assessed by restricted cubic splines.


A total of 14 studies reporting vitamin B2 intake and two studies reporting blood vitamin B2 concentration, comprising 14,934 cases and 1593 cases, respectively, were included in the meta-analysis. Vitamin B2 intake was inversely associated with CRC risk (RR = 0.87; 95% CI 0.81–0.93). Similar results were found for total vitamin B2 intake from diet and supplements (RR = 0.86; 95% CI 0.78–0.94) and dietary vitamin B2 intake (RR = 0.89, 95% CI 0.82–0.98) in subgroup analyses. The dose–response model indicated a non-linear trend, and CRC risk was reduced by 10% when vitamin B2 intake increased to 5 mg/day. In addition, high blood concentrations of vitamin B2 could also reduce the CRC risk (RR = 0.74; 95% CI 0.59–0.92).


This dose–response analysis indicates that vitamin B2 intake is inversely associated with CRC risk. The inverse association may also exist between blood vitamin B2 concentration and CRC risk. These results suggest the importance of vitamin B2 intake in the prevention of CRC.


Colorectal cancer Vitamin B2 Dose–response Meta-analysis 



Conception and design: Meilin Wang, Dongying Gu, and Yuan Wu; Development of methodology: Shuai Ben, Mulong Du, and Gaoxiang Ma; Acquisition of data: Haiyan Chu and Liyang Zhu; Administrative, technical, or material support: Jianhua Qu and Zhengdong Zhang; Study supervision: Meilin Wang, Dongying Gu, and Yuan Wu.


This work was supported by the National Key R&D Program of China (2017YFC0908200), the National Natural Science Foundation of China (81773516), Distinguished Young Scholars of Nanjing (JQX13005), the Qinlan Project of Jiangsu (Meilin Wang), and the Priority Academic Program Development of Jiangsu Higher Education Institutions (Public Health and Preventive Medicine).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

394_2018_1702_MOESM1_ESM.docx (25 kb)
Supplementary material 1 (DOCX 25 KB)


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized MedicineNanjing Medical UniversityNanjingChina
  2. 2.Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public HealthNanjing Medical UniversityNanjingChina
  3. 3.School of Public HealthNantong UniversityNantongChina
  4. 4.School of Traditional Chinese PharmacyChina Pharmaceutical UniversityNanjingChina
  5. 5.Department of Statistics, School of EconomicsNanjing University of Finance and EconomicsNanjingChina
  6. 6.Department of Medical Oncology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer ResearchThe Affiliated Cancer Hospital of Nanjing Medical UniversityNanjingChina
  7. 7.Department of Oncology, Nanjing First HospitalNanjing Medical UniversityNanjingChina

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