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1. Preoperative pelvic MRI and 2-[(18)F]FDG PET/CT for lymph node staging and prognostication in endometrial cancer-time to revisit current imaging guidelines?

3. Mendelian randomization analyses suggest a role for cholesterol in the development of endometrial cancer.

4. Mendelian randomization analyses suggest a role for cholesterol in the development of endometrial cancer.

5. Mendelian randomization analyses suggest a role for cholesterol in the development of endometrial cancer

8. Preoperative risk stratification in endometrial cancer (ENDORISK) by a Bayesian network model: A development and validation study

9. Preoperative risk stratification in endometrial cancer (ENDORISK) by a Bayesian network model: A development and validation study

10. Preoperative risk stratification in endometrial cancer (ENDORISK) by a Bayesian network model: A development and validation study

11. Asparaginase-like protein 1 expression in curettage independently predicts lymph node metastasis in endometrial carcinoma : a multicentre study

12. rs495139 in the TYMS-ENOSF1 Region and Risk of Ovarian Carcinoma of Mucinous Histology

13. Identification of nine new susceptibility loci for endometrial cancer.

14. Identification of nine new susceptibility loci for endometrial cancer.

15. Genetic overlap between endometriosis and endometrial cancer: evidence from cross-disease genetic correlation and GWAS meta-analyses

16. rs495139 in the TYMS-ENOSF1 Region and Risk of Ovarian Carcinoma of Mucinous Histology

17. Identification of nine new susceptibility loci for endometrial cancer

18. rs495139 in the TYMS-ENOSF1 Region and Risk of Ovarian Carcinoma of Mucinous Histology

19. rs495139 in the TYMS-ENOSF1 Region and Risk of Ovarian Carcinoma of Mucinous Histology

20. Identification of nine new susceptibility loci for endometrial cancer

21. Expression of L1CAM in curettage or high L1CAM level in preoperative blood samples predicts lymph node metastases and poor outcome in endometrial cancer patients

22. Expression of L1CAM in curettage or high L1CAM level in preoperative blood samples predicts lymph node metastases and poor outcome in endometrial cancer patients

23. Increased microvascular permeability in mice lacking Epac1 (Rapgef3)

24. Increased microvascular permeability in mice lacking Epac1 (Rapgef3)

25. Assessment of variation in immunosuppressive pathway genes reveals TGFBR2 to be associated with risk of clear cell ovarian cancer

26. No clinical utility of KRAS variant rs61764370 for ovarian or breast cancer

27. Assessment of variation in immunosuppressive pathway genes reveals TGFBR2 to be associated with risk of clear cell ovarian cancer

28. Assessment of variation in immunosuppressive pathway genes reveals TGFBR2 to be associated with risk of clear cell ovarian cancer

29. Assessment of variation in immunosuppressive pathway genes reveals TGFBR2 to be associated with risk of clear cell ovarian cancer

30. Loss of ASRGL1 expression is an independent biomarker for disease-specific survival in endometrioid endometrial carcinoma

31. Epithelial-Mesenchymal Transition (EMT) Gene Variants and Epithelial Ovarian Cancer (EOC) Risk

32. Evaluating the ovarian cancer gonadotropin hypothesis: A candidate gene study

33. Cis-eQTL analysis and functional validation of candidate susceptibility genes for high-grade serous ovarian cancer

34. Common Genetic Variation In Cellular Transport Genes and Epithelial Ovarian Cancer (EOC) Risk

35. Common variants at the CHEK2 gene locus and risk of epithelial ovarian cancer

36. Multimodal Imaging of Orthotopic Mouse Model of Endometrial Carcinoma

37. Network-Based Integration of GWAS and Gene Expression Identifies a HOX-Centric Network Associated with Serous Ovarian Cancer Risk

38. Network-based integration of GWAS and gene expression identifies a HOX-centric network associated with serous ovarian cancer risk

39. Network-Based Integration of GWAS and Gene Expression Identifies a HOX-Centric Network Associated with Serous Ovarian Cancer Risk

40. Common Genetic Variation In Cellular Transport Genes and Epithelial Ovarian Cancer (EOC) Risk

41. Common Genetic Variation in Circadian Rhythm Genes and Risk of Epithelial Ovarian Cancer (EOC).

42. Identification of six new susceptibility loci for invasive epithelial ovarian cancer

43. Genome-wide significant risk associations for mucinous ovarian carcinoma

44. Cis-eQTL analysis and functional validation of candidate susceptibility genes for high-grade serous ovarian cancer

45. Epithelial-Mesenchymal Transition (EMT) Gene Variants and Epithelial Ovarian Cancer (EOC) Risk

46. Evaluating the ovarian cancer gonadotropin hypothesis: A candidate gene study

47. Cis-eQTL analysis and functional validation of candidate susceptibility genes for high-grade serous ovarian cancer

48. Common Genetic Variation In Cellular Transport Genes and Epithelial Ovarian Cancer (EOC) Risk

49. Common variants at the CHEK2 gene locus and risk of epithelial ovarian cancer

50. Multimodal Imaging of Orthotopic Mouse Model of Endometrial Carcinoma

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