Skip to main content

Advertisement

Log in

Association of serum lipids and abnormal lipid score with cancer risk: a population-based prospective study

  • Original Article
  • Published:
Journal of Endocrinological Investigation Aims and scope Submit manuscript

Abstract

Background

Serum lipid levels are associated with cancer risk. However, there still have uncertainties about the single and combined effects of low lipid levels on cancer risk.

Methods

A prospective cohort study of 33,773 adults in Shanghai between 2016 and 2017 was conducted. Total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) levels were measured. Cox proportional hazard models were used to assess the association of single and combined lipids with overall, lung, colon, rectal, thyroid gland, stomach, and female breast cancers. The effect of the combination of abnormal lipid score and lifestyle on cancer was also estimated.

Results

A total of 926 incident cancer cases were identified. In the RCS analysis, hazard ratios (HRs) of overall cancer for individuals with TC < 5.18 mmol/L or with LDL-C < 3.40 mmol/L were higher. Low TC was associated with higher colorectal cancer risk (HR [95% CI] = 1.76 [1.09–2.84]) and low HDL-C increased thyroid cancer risk by 90%. Abnormal lipid score was linearly and positively associated with cancer risk, and smokers with high abnormal lipid scores had a higher cancer risk, compared to non-smokers with low abnormal lipid scores (P < 0.05).

Conclusions

Low TC levels were associated with an increased risk of overall and colorectal cancer. More attention should be paid to participants with high abnormal lipid scores and unhealthy lifestyles who may have a higher risk of developing cancer. Determining the specific and comprehensive lipid combinations that affect tumorigenesis remains a valuable challenge.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data availability

Data for this study are available upon request, which clearly state the title and aim of the research.

References

  1. Ferlay J, Colombet M, Soerjomataram I et al (2021) Cancer statistics for the year 2020: an overview. Int J Cancer 149:778–789. https://doi.org/10.1002/ijc.33588

    Article  CAS  Google Scholar 

  2. Cao W, Chen H-D, Yu Y-W et al (2021) Changing profiles of cancer burden worldwide and in China: a secondary analysis of the global cancer statistics 2020. Chin Med J (Engl) 134:783–791. https://doi.org/10.1097/CM9.0000000000001474

    Article  PubMed  Google Scholar 

  3. Zheng R, Zhang S, Zeng H et al (2022) Cancer incidence and mortality in China, 2016. J Natl Cancer Center 2:1–9. https://doi.org/10.1016/j.jncc.2022.02.002

    Article  Google Scholar 

  4. Sun D, Li H, Cao M et al (2020) Cancer burden in China: trends, risk factors and prevention. Cancer Biol Med 17:879–895. https://doi.org/10.20892/j.issn.2095-3941.2020.0387

    Article  PubMed  PubMed Central  Google Scholar 

  5. Katzke VA, Sookthai D, Johnson T et al (2017) Blood lipids and lipoproteins in relation to incidence and mortality risks for CVD and cancer in the prospective EPIC–Heidelberg cohort. BMC Med 15:218. https://doi.org/10.1186/s12916-017-0976-4

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  6. Luo X, Cheng C, Tan Z et al (2017) Emerging roles of lipid metabolism in cancer metastasis. Mol Cancer 16:76. https://doi.org/10.1186/s12943-017-0646-3

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  7. Kuzu OF, Noory MA, Robertson GP (2016) The role of cholesterol in cancer. Cancer Res 76:2063–2070. https://doi.org/10.1158/0008-5472.CAN-15-2613

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  8. Bian X, Liu R, Meng Y et al (2021) Lipid metabolism and cancer. J Exp Med. https://doi.org/10.1084/jem.20201606

    Article  PubMed  PubMed Central  Google Scholar 

  9. Butler LM, Perone Y, Dehairs J et al (2020) Lipids and cancer: emerging roles in pathogenesis, diagnosis and therapeutic intervention. Adv Drug Deliv Rev 159:245–293. https://doi.org/10.1016/j.addr.2020.07.013

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  10. Kitahara CM, Berrington de González A, Freedman ND et al (2011) Total cholesterol and cancer risk in a large prospective study in Korea. J Clin Oncol 29:1592–1598. https://doi.org/10.1200/JCO.2010.31.5200

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  11. Strohmaier S, Edlinger M, Manjer J et al (2013) Total serum cholesterol and cancer incidence in the metabolic syndrome and cancer project (Me-Can). PLoS ONE 8:e54242. https://doi.org/10.1371/journal.pone.0054242

    Article  ADS  PubMed  PubMed Central  CAS  Google Scholar 

  12. Wu B, Teng L, He D et al (2019) Dose-response relation between serum total cholesterol levels and overall cancer risk: evidence from 12 prospective studies involving 1,926,275 participants. Int J Food Sci Nutr 70:432–441. https://doi.org/10.1080/09637486.2018.1529147

    Article  PubMed  CAS  Google Scholar 

  13. Kucharska-Newton AM, Rosamond WD, Mink PJ et al (2008) HDL-cholesterol and incidence of breast cancer in the ARIC cohort study. Ann Epidemiol 18:671–677. https://doi.org/10.1016/j.annepidem.2008.06.006

    Article  PubMed  PubMed Central  Google Scholar 

  14. Furberg A-S, Veierød MB, Wilsgaard T et al (2004) Serum high density lipoprotein cholesterol, metabolic profile, and breast cancer risk. J Natl Cancer Inst 96:1152–1160. https://doi.org/10.1093/jnci/djh216

    Article  PubMed  CAS  Google Scholar 

  15. Beeghly-Fadiel A, Khankari NK, Delahanty RJ et al (2020) A Mendelian randomization analysis of circulating lipid traits and breast cancer risk. Int J Epidemiol 49:1117–1131. https://doi.org/10.1093/ije/dyz242

    Article  PubMed  Google Scholar 

  16. Ioannidou A, Watts EL, Perez-Cornago A et al (2022) The relationship between lipoprotein A and other lipids with prostate cancer risk: a multivariable Mendelian randomisation study. PLoS Med 19:e1003859. https://doi.org/10.1371/journal.pmed.1003859

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  17. Bull CJ, Bonilla C, Holly JMP et al (2016) Blood lipids and prostate cancer: a Mendelian randomization analysis. Cancer Med 5:1125–1136. https://doi.org/10.1002/cam4.695

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  18. Heir T, Falk RS, Robsahm TE et al (2016) Cholesterol and prostate cancer risk: a long-term prospective cohort study. BMC Cancer 16:643. https://doi.org/10.1186/s12885-016-2691-5

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. Zhao Q, Chen B, Wang R et al (2020) Cohort profile: protocol and baseline survey for the Shanghai Suburban Adult Cohort and Biobank (SSACB) study. BMJ Open 10:e035430. https://doi.org/10.1136/bmjopen-2019-035430

    Article  PubMed  PubMed Central  Google Scholar 

  20. Zhu J, Zhang Y, Wu Y et al (2022) Obesity and dyslipidemia in Chinese adults: a cross-sectional study in Shanghai. China Nutr 14:2321. https://doi.org/10.3390/nu14112321

    Article  CAS  Google Scholar 

  21. Tang M-H, Cui S-H, Yi K-Q et al (2022) Cross-sectional study on comorbidities in community patients with stroke in Songjiang District, Shanghai. Shanghai J Prev Med 34:888–894. https://doi.org/10.19428/j.cnki.sjpm.2022.21999

    Article  Google Scholar 

  22. Pei J-F, Wang N, Zhao Q et al (2022) Association of physical activities in adults with diagnosis of type 2 diabetes in Songjiang District, Shanghai. Fudan Univ J Med Sci 49:852–861

    Google Scholar 

  23. Ren Z, Li Y, Li X et al (2021) Associations of body mass index, waist circumference and waist-to-height ratio with cognitive impairment among Chinese older adults: based on the CLHLS. J Affect Disord 295:463–470. https://doi.org/10.1016/j.jad.2021.08.093

    Article  PubMed  Google Scholar 

  24. WHO Expert Consultation (2004) Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 363:157–163. https://doi.org/10.1016/S0140-6736(03)15268-3

    Article  Google Scholar 

  25. The National Bureau of Statistics of China (2002) Tabulation on the 2000 population census of The Peoples Republic of China. China Statistic Press

  26. Berberich AJ, Hegele RA (2022) A modern approach to dyslipidemia. Endocr Rev 43:611–653. https://doi.org/10.1210/endrev/bnab037

    Article  PubMed  Google Scholar 

  27. Kopin L, Lowenstein C (2017) Dyslipidemia. Ann Intern Med 167:IT81–IT96. https://doi.org/10.7326/AITC201712050

    Article  Google Scholar 

  28. Ahn J, Lim U, Weinstein SJ et al (2009) Prediagnostic total and high-density lipoprotein cholesterol and risk of cancer. Cancer Epidemiol Biomarkers Prev 18:2814–2821. https://doi.org/10.1158/1055-9965.EPI-08-1248

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  29. Guan X-M, Wu S-L, Yang X-L et al (2018) Association of total cholesterol, low-density lipoprotein cholesterol, and non-high-density lipoprotein cholesterol with atherosclerotic cardiovascular disease and cancer in a Chinese male population. Int J Cancer 142:1209–1217. https://doi.org/10.1002/ijc.31149

    Article  PubMed  CAS  Google Scholar 

  30. Loosen SH, Kostev K, Luedde M et al (2022) Low blood levels of high-density lipoprotein (HDL) cholesterol are positively associated with cancer. J Cancer Res Clin Oncol 148:3039–3046. https://doi.org/10.1007/s00432-021-03867-1

    Article  PubMed  CAS  Google Scholar 

  31. His M, Zelek L, Deschasaux M et al (2014) Prospective associations between serum biomarkers of lipid metabolism and overall, breast and prostate cancer risk. Eur J Epidemiol 29:119–132. https://doi.org/10.1007/s10654-014-9884-5

    Article  PubMed  CAS  Google Scholar 

  32. Melvin JC, Holmberg L, Rohrmann S et al (2013) Serum lipid profiles and cancer risk in the context of obesity: four meta-analyses. J Cancer Epidemiol 2013:823849. https://doi.org/10.1155/2013/823849

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  33. Eichholzer M, Stähelin HB, Gutzwiller F et al (2000) Association of low plasma cholesterol with mortality for cancer at various sites in men: 17-y follow-up of the prospective Basel study. Am J Clin Nutr 71:569–574. https://doi.org/10.1093/ajcn/71.2.569

    Article  PubMed  CAS  Google Scholar 

  34. Kritchevsky SB, Kritchevsky D (1992) Serum cholesterol and cancer risk: an epidemiologic perspective. Annu Rev Nutr 12:391–416. https://doi.org/10.1146/annurev.nu.12.070192.002135

    Article  PubMed  CAS  Google Scholar 

  35. Patel KK, Kashfi K (2022) Lipoproteins and cancer: the role of HDL-C, LDL-C, and cholesterol-lowering drugs. Biochem Pharmacol 196:114654. https://doi.org/10.1016/j.bcp.2021.114654

    Article  PubMed  CAS  Google Scholar 

  36. Murai T (2012) The role of lipid rafts in cancer cell adhesion and migration. Int J Cell Biol 2012:763283. https://doi.org/10.1155/2012/763283

    Article  PubMed  CAS  Google Scholar 

  37. Murai T (2015) Cholesterol lowering: role in cancer prevention and treatment. Biol Chem 396:1–11. https://doi.org/10.1515/hsz-2014-0194

    Article  ADS  PubMed  CAS  Google Scholar 

  38. Murai T, Maruyama Y, Mio K et al (2011) Low cholesterol triggers membrane microdomain-dependent CD44 shedding and suppresses tumor cell migration. J Biol Chem 286:1999–2007. https://doi.org/10.1074/jbc.M110.184010

    Article  PubMed  CAS  Google Scholar 

  39. King RJ, Singh PK, Mehla K (2022) The cholesterol pathway: impact on immunity and cancer. Trends Immunol 43:78–92. https://doi.org/10.1016/j.it.2021.11.007

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  40. Huang B, Song B-L, Xu C (2020) Cholesterol metabolism in cancer: mechanisms and therapeutic opportunities. Nat Metab 2:132–141. https://doi.org/10.1038/s42255-020-0174-0

    Article  PubMed  Google Scholar 

  41. Mullen PJ, Yu R, Longo J et al (2016) The interplay between cell signalling and the mevalonate pathway in cancer. Nat Rev Cancer 16:718–731. https://doi.org/10.1038/nrc.2016.76

    Article  PubMed  CAS  Google Scholar 

  42. Park J-H, Choi M, Kim J-H et al (2020) Metabolic syndrome and the risk of thyroid cancer: a nationwide population-based cohort study. Thyroid 30:1496–1504. https://doi.org/10.1089/thy.2019.0699

    Article  PubMed  CAS  Google Scholar 

  43. Touvier M, Fassier P, His M et al (2015) Cholesterol and breast cancer risk: a systematic review and meta-analysis of prospective studies. Br J Nutr 114:347–357. https://doi.org/10.1017/S000711451500183X

    Article  PubMed  CAS  Google Scholar 

  44. Johnson KE, Siewert KM, Klarin D et al (2020) The relationship between circulating lipids and breast cancer risk: a Mendelian randomization study. PLoS Med 17:e1003302. https://doi.org/10.1371/journal.pmed.1003302

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  45. Nowak C, Ärnlöv J (2018) A Mendelian randomization study of the effects of blood lipids on breast cancer risk. Nat Commun 9:3957. https://doi.org/10.1038/s41467-018-06467-9

    Article  ADS  PubMed  PubMed Central  CAS  Google Scholar 

  46. Yager JD, Davidson NE (2006) Estrogen carcinogenesis in breast cancer. N Engl J Med 354:270–282. https://doi.org/10.1056/NEJMra050776

    Article  PubMed  CAS  Google Scholar 

  47. Jung KY, Ahn HY, Han SK et al (2017) Association between thyroid function and lipid profiles, apolipoproteins, and high-density lipoprotein function. J Clin Lipidol 11:1347–1353. https://doi.org/10.1016/j.jacl.2017.08.015

    Article  PubMed  Google Scholar 

  48. Borena W, Stocks T, Jonsson H et al (2011) Serum triglycerides and cancer risk in the metabolic syndrome and cancer (Me-Can) collaborative study. Cancer Causes Control 22:291–299. https://doi.org/10.1007/s10552-010-9697-0

    Article  PubMed  Google Scholar 

  49. Fang Z, He M, Song M (2021) Serum lipid profiles and risk of colorectal cancer: a prospective cohort study in the UK Biobank. Br J Cancer 124:663–670. https://doi.org/10.1038/s41416-020-01143-6

    Article  PubMed  CAS  Google Scholar 

  50. Chandler PD, Song Y, Lin J et al (2016) Lipid biomarkers and long-term risk of cancer in the Women’s Health Study. Am J Clin Nutr 103:1397–1407. https://doi.org/10.3945/ajcn.115.124321

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  51. Ulmer H, Borena W, Rapp K et al (2009) Serum triglyceride concentrations and cancer risk in a large cohort study in Austria. Br J Cancer 101:1202–1206. https://doi.org/10.1038/sj.bjc.6605264

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  52. Borgquist S, Butt T, Almgren P et al (2016) Apolipoproteins, lipids and risk of cancer. Int J Cancer 138:2648–2656. https://doi.org/10.1002/ijc.30013

    Article  PubMed  CAS  Google Scholar 

  53. Lin X, Lu L, Liu L et al (2017) Blood lipids profile and lung cancer risk in a meta-analysis of prospective cohort studies. J Clin Lipidol 11:1073–1081. https://doi.org/10.1016/j.jacl.2017.05.004

    Article  PubMed  Google Scholar 

  54. Balaban S, Lee LS, Schreuder M, Hoy AJ (2015) Obesity and cancer progression: is there a role of fatty acid metabolism? Biomed Res Int 2015:274585. https://doi.org/10.1155/2015/274585

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  55. Novosyadlyy R, Lann DE, Vijayakumar A et al (2010) Insulin-mediated acceleration of breast cancer development and progression in a nonobese model of type 2 diabetes. Cancer Res 70:741–751. https://doi.org/10.1158/0008-5472.CAN-09-2141

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  56. Rehm J, Shield KD, Weiderpass E (2020) Alcohol consumption. A leading risk factor for cancer. Chem Biol Interact 331:109280. https://doi.org/10.1016/j.cbi.2020.109280

    Article  PubMed  CAS  Google Scholar 

  57. Luo J, Yang H, Song B-L (2020) Mechanisms and regulation of cholesterol homeostasis. Nat Rev Mol Cell Biol 21:225–245. https://doi.org/10.1038/s41580-019-0190-7

    Article  PubMed  CAS  Google Scholar 

  58. Martin-Perez M, Urdiroz-Urricelqui U, Bigas C et al (2022) The role of lipids in cancer progression and metastasis. Cell Metab 34:1675–1699. https://doi.org/10.1016/j.cmet.2022.09.023

    Article  PubMed  CAS  Google Scholar 

  59. Wu Q, Huang Y, Kong X et al (2023) DBLiPro: a database for lipids and proteins in human lipid metabolism. Phenomics. https://doi.org/10.1007/s43657-023-00099-w

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

This work was supported by the National Key Research and Development Program of China (2019YFC1315804, 2017YFC0907000), an Innovation Grant from Science and Technology Commission of Shanghai Municipality, China (20ZR1405600), the National Natural Science Foundation of China (82073637, 82122060), the Three-Year Action Plan for Strengthening Public Health System in Shanghai (GWV-10.2-YQ32), the Discipline Promotion Program of Shanghai Fourth People’s Hospital (SY-XKZT-2020-1002), and the Local High-Level Discipline Construction Project of Shanghai. The authors would like to acknowledge that Yanfeng Jiang, Xingdong Chen, and Chen Suo have contributed equally to the correspondence work. The authors would also like to thank all the study participants in this study and all workgroup staff of the Community Health Centers from Zhongshan, Xinqiao, Sheshan, and Maogang in the Songjiang district for their contribution to data collection in the field.

Author information

Authors and Affiliations

Authors

Contributions

YJX: conceptualization, formal analysis, and writing—original draft. YGJ: resources and data curation. YLW and XYS: investigation. DLZ, PPG, HBY, JRW, KLX, and TJZ: methodology. YX and QZ: data curation. QHM: resources and funding acquisition. XDC: supervision and funding acquisition. GMZ: supervision and resources. YFJ: supervision and writing—review and editing. CS: conceptualization, supervision, funding acquisition, and writing—review and editing. All authors read and approved the final manuscript.

Corresponding author

Correspondence to C. Suo.

Ethics declarations

Conflict of interest

The authors declare no conflicts of interest.

Ethics approval

The ethics approval was exempted by Fudan University Institution Review Board (IRB#2016-04-0586).

Research involving human participants and/or animals

The present study complies with the guidelines for human studies.

Informed consent

Informed consent was obtained from all participants.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 379 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xie, Y., Jiang, Y., Wu, Y. et al. Association of serum lipids and abnormal lipid score with cancer risk: a population-based prospective study. J Endocrinol Invest 47, 367–376 (2024). https://doi.org/10.1007/s40618-023-02153-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40618-023-02153-w

Keywords

Navigation