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Zhu J, O'Mara TA, Liu D, et al. Associations between Genetically Predicted Circulating Protein Concentrations and Endometrial Cancer Risk. Cancers (Basel). 2021;13(9)doi: 10.3390/cancers13092088.
Zhu, J., O'Mara, T. A., Liu, D., Setiawan, V. W., Glubb, D., Spurdle, A. B., Fasching, P. A., Lambrechts, D., Buchanan, D., Kho, P. F., Cook, L. S., Friedenreich, C., Lacey, J. V., Chen, C., Wentzensen, N., De Vivo, I., Sun, Y., Long, J., Du, M., Shu, X. O., Zheng, W., Wu, L., & Yu, H. (2021). Associations between Genetically Predicted Circulating Protein Concentrations and Endometrial Cancer Risk. Cancers, 13(9), . https://doi.org/10.3390/cancers13092088
Zhu, Jingjing, et al. "Associations between Genetically Predicted Circulating Protein Concentrations and Endometrial Cancer Risk." Cancers vol. 13,9 (2021). doi: https://doi.org/10.3390/cancers13092088
Zhu J, O'Mara TA, Liu D, Setiawan VW, Glubb D, Spurdle AB, Fasching PA, Lambrechts D, Buchanan D, Kho PF, Cook LS, Friedenreich C, Lacey JV, Chen C, Wentzensen N, De Vivo I, Sun Y, Long J, Du M, Shu XO, Zheng W, Wu L, Yu H. Associations between Genetically Predicted Circulating Protein Concentrations and Endometrial Cancer Risk. Cancers (Basel). 2021 Apr 26;13(9). doi: 10.3390/cancers13092088. PMID: 33925895; PMCID: PMC8123478.
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Cancers (Basel). 2021 Apr 26;13(9). doi: 10.3390/cancers13092088.

Associations between Genetically Predicted Circulating Protein Concentrations and Endometrial Cancer Risk.

Cancers

Jingjing Zhu, Tracy A O'Mara, Duo Liu, Veronica Wendy Setiawan, Dylan Glubb, Amanda B Spurdle, Peter A Fasching, Diether Lambrechts, Daniel Buchanan, Pik Fang Kho, Linda S Cook, Christine Friedenreich, James V Lacey, Chu Chen, Nicolas Wentzensen, Immaculata De Vivo, Yan Sun, Jirong Long, Mengmeng Du, Xiao-Ou Shu, Wei Zheng, Lang Wu, Herbert Yu

Affiliations

  1. Population Sciences in the Pacific Program, Cancer Epidemiology Division, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI 96813, USA.
  2. Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia.
  3. Department of Pharmacy, Harbin Medical University Cancer Hospital, Harbin 150086, China.
  4. Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90089, USA.
  5. Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, 91054 Erlangen, Germany.
  6. Department of Medicine Division of Hematology and Oncology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
  7. Laboratory for Translational Genetics, Department of Human Genetics, University of Leuven, 3000 Leuven, Belgium.
  8. VIB, VIB Center for Cancer Biology, 3000 Leuven, Belgium.
  9. Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC 3010, Australia.
  10. Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia.
  11. Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, VIC 3052, Australia.
  12. Victorian Comprehensive Cancer Centre, University of Melbourne Centre for Cancer Research, Parkville, VIC 3000, Australia.
  13. Epidemiology, Biostatistics and Preventive Medicine, Department of Internal Medicine, University of New Mexico, Albuquerque, NM 87131, USA.
  14. Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, AB T2S 3C3, Canada.
  15. Department of Computational and Quantitative Medicine, City of Hope, Duarte, CA 91010, USA.
  16. Epidemiology Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
  17. Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
  18. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
  19. Department of Medicine, Harvard Medical School, Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
  20. Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
  21. Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.

PMID: 33925895 PMCID: PMC8123478 DOI: 10.3390/cancers13092088

Abstract

Endometrial cancer (EC) is the leading female reproductive tract malignancy in developed countries. Currently, genome-wide association studies (GWAS) have identified 17 risk loci for EC. To identify novel EC-associated proteins, we used previously reported protein quantitative trait loci for 1434 plasma proteins as instruments to evaluate associations between genetically predicted circulating protein concentrations and EC risk. We studied 12,906 cases and 108,979 controls of European descent included in the Endometrial Cancer Association Consortium, the Epidemiology of Endometrial Cancer Consortium, and the UK Biobank. We observed associations between genetically predicted concentrations of nine proteins and EC risk at a false discovery rate of <0.05 (

Keywords: endometrial cancer; genetic instrument; protein biomarker; risk

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