Detail

Keywords

DNA Mismatch Repair; Early Detection of Cancer; Epidemiology; Genes, BRCA1; Genes, BRCA2; Hereditary Breast and Ovarian Cancer Syndrome; Lynch Syndrome II; Quality of Life

Research group(s)

• Predictive Oncology Group
  Members:
  Yen Y. Tan

Research interests

• Hereditary breast and ovarian cancer epidemiology
• Lynch-associated endometrial cancer
• Cancer risk prediction models
• Quality of life and supportive cancer needs

Consortia:

Co-coordinator, International BRCA1/2 Carrier Cohort Study (IBCCS), http://www.ibccs.nl/Home.aspx 

Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA), http://cimba.ccge.medschl.cam.ac.uk/

Evidence-based Network for the Interpretation of Germline Mutant Alleles (ENIGMA), https://enigmaconsortium.org/

Grants

• Precision medicine for breast cancer: multi-omics towards predicting complete remission and avoiding surgery, PREDICTOME (2021)
  Source of Funding: WWTF (Vienna Science and Technology Fund), Life Sciences Call 2020 - Precision Medicine
  Principal Investigator
• Austrian BRCA‐associated metastatic breast cancer registry (2019)
  Source of Funding: Pfizer, Research Grant
  Principal Investigator
• BRCA-P - Prospectively randomized place-controlled phase 3 study to determine the effect of denosumab on breast cancer prevention in BRCA1 mutation carriers (2019)
  Source of Funding: U.S. Department of Defense, Breast Cancer Research Program Breakthrough Award - Funding Level 4
  Coordinator of the collaborative project

Selected publications

1. Qian, F. et al., 2019. Mendelian randomisation study of height and body mass index as modifiers of ovarian cancer risk in 22,588 BRCA1 and BRCA2 mutation carriers. British Journal of Cancer, 121(2), pp.180–192. Available at: http://dx.doi.org/10.1038/s41416-019-0492-8.
2. Kuchenbaecker, K.B. et al., 2017. Risks of Breast, Ovarian, and Contralateral Breast Cancer for BRCA1 and BRCA2 Mutation Carriers. JAMA, 317(23), p.2402. Available at: http://dx.doi.org/10.1001/jama.2017.7112.
3. Johnatty, S.E. et al., 2017. Family history of cancer predicts endometrial cancer risk independently of Lynch Syndrome: Implications for genetic counselling. Gynecologic Oncology, 147(2), pp.381–387. Available at: http://dx.doi.org/10.1016/j.ygyno.2017.08.011.
4. Buchanan, D.D. et al., 2014. Tumor Mismatch Repair Immunohistochemistry and DNA MLH1 Methylation Testing of Patients With Endometrial Cancer Diagnosed at Age Younger Than 60 Years Optimizes Triage for Population-Level Germline Mismatch Repair Gene Mutation Testing. Journal of Clinical Oncology, 32(2), pp.90–100. Available at: http://dx.doi.org/10.1200/JCO.2013.51.2129.
5. Tan, Y.Y. et al., 2013. Improving identification of lynch syndrome patients: A comparison of research data with clinical records. International Journal of Cancer, 132(12), pp.2876–2883. Available at: http://dx.doi.org/10.1002/ijc.27978.