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65 results on '"Karina Standahl Olsen"'

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1. Roles of miR-20a-5p in breast cancer based on the clinical and multi-omic (CAMO) cohort and in vitro studies

2. Association of Mediterranean diet with survival after breast cancer diagnosis in women from nine European countries: results from the EPIC cohort study

3. Pan-cancer analysis of pre-diagnostic blood metabolite concentrations in the European Prospective Investigation into Cancer and Nutrition

4. Associations of breast cancer related exposures and gene expression profiles in normal breast tissue—The Norwegian Women and Cancer normal breast tissue study

5. Circulating inflammatory biomarkers, adipokines and breast cancer risk—a case-control study nested within the EPIC cohort

6. Cohort profile: The Clinical and Multi-omic (CAMO) cohort, part of the Norwegian Women and Cancer (NOWAC) study.

7. Lifestyle correlates of eight breast cancer-related metabolites: a cross-sectional study within the EPIC cohort

8. Dietary intake of trans fatty acids and breast cancer risk in 9 European countries

9. Physical activity and blood gene expression profiles: the Norwegian Women and Cancer (NOWAC) Post-genome cohort

10. Nutrient-wide association study of 92 foods and nutrients and breast cancer risk

11. Global blood gene expression profiles following a breast cancer diagnosis-Clinical follow-up in the NOWAC post-genome cohort.

12. Metastatic Breast Cancer and Pre-Diagnostic Blood Gene Expression Profiles—The Norwegian Women and Cancer (NOWAC) Post-Genome Cohort

13. DHA induces ER stress and growth arrest in human colon cancer cells: associations with cholesterol and calcium homeostasis *s⃞

14. Kvik: three-tier data exploration tools for flexible analysis of genomic data in epidemiological studies [v2; ref status: indexed, http://f1000r.es/5hl]

15. Plasma fatty acid ratios affect blood gene expression profiles--a cross-sectional study of the Norwegian Women and Cancer Post-Genome Cohort.

16. Sources of pre-analytical variations in yield of DNA extracted from blood samples: analysis of 50,000 DNA samples in EPIC.

17. Genome-wide profile of pleural mesothelioma versus parietal and visceral pleura: the emerging gene portrait of the mesothelioma phenotype.

19. Associations between dietary inflammatory scores and biomarkers of inflammation in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort

20. The impact of coding germline variants on contralateral breast cancer risk and survival

21. Dietary patterns related to biological mechanisms and survival after breast cancer diagnosis : results from a cohort study

23. Kvik: three-tier data exploration tools for flexible analysis of genomic data in epidemiological studies [version 2; referees: 1 approved, 2 approved with reservations]

24. Kvik: three-tier data exploration tools for flexible analysis of genomic data in epidemiological studies [version 1; referees: 2 approved with reservations]

25. Soft Drink and Juice Consumption and Renal Cell Carcinoma Incidence and Mortality in the European Prospective Investigation into Cancer and Nutrition

26. Dietary intake of trans fatty acids and breast cancer risk in 9 European countries

27. Global blood gene expression profiles following a breast cancer diagnosis-Clinical follow-up in the NOWAC post-genome cohort

29. Metastatic Breast Cancer and Pre-Diagnostic Blood Gene Expression Profiles—The Norwegian Women and Cancer (NOWAC) Post-Genome Cohort

30. Nutrient-wide association study of 92 foods and nutrients and breast cancer risk

31. Coffee consumption and overall and cause-specific mortality: the Norwegian Women and Cancer Study (NOWAC)

32. Circulating concentrations of vitamin D in relation to pancreatic cancer risk in European populations

33. Coffee Consumption and Whole-Blood Gene Expression in the Norwegian Women and Cancer Post-Genome Cohort

34. Each pregnancy linearly changes immune gene expression in the blood of healthy women compared with breast cancer patients

35. Local In Time Statistics for detecting weak gene expression signals in blood – illustrated for prediction of metastases in breast cancer in the NOWAC Post-genome Cohort

36. Transcription factor PAX6 as a novel prognostic factor and putative tumour suppressor in non-small cell lung cancer

37. Vitamin D status and PUFA ratios in a national representative cross-section of healthy, middle-aged Norwegian women – The Norwegian Women and Cancer Post-Genome Cohort

38. Prediagnostic circulating vitamin D levels and risk of hepatocellular carcinoma in European populations: A nested case-control study

39. Prediagnostic telomere length and risk of B-cell lymphoma-Results from the EPIC cohort study

40. Population-Based Precision Cancer Screening-Letter

41. Does an epidemiological comparison support a common cellular lineage for similar subtypes of postmenopausal uterine and ovarian carcinoma? The Norwegian Women and Cancer Study

42. Excerpts from the 1st international NTNU symposium on current and future clinical biomarkers of cancer: innovation and implementation, June 16th and 17th 2016, Trondheim, Norway

43. Ecological-Level Associations Between Highly Processed Food Intakes and Plasma Phospholipid Elaidic Acid Concentrations: Results From a Cross-Sectional Study Within the European Prospective Investigation Into Cancer and Nutrition (EPIC)

44. Staphylococcus aureus nasal carriage is associated with serum 25-hydroxyvitamin D levels, gender and smoking status. The Tromsø Staph and Skin Study

45. DHA induces ER stress and growth arrest in human colon cancer cells: associations with cholesterol and calcium homeostasis *s⃞

46. Kvik: three-tier data exploration tools for flexible analysis of genomic data in epidemiological studies

47. Whole-Blood Gene Expression Profiles in Large-scale Epidemiological Studies: What Do They Tell

48. Elevated odds of metabolic syndrome in psoriasis: A population-based study of age and sex differences

49. Obesity and Staphylococcus aureus nasal colonization among women and men in a general population

50. Sources of pre-analytical variations in yield of DNA extracted from blood samples: analysis of 50,000 DNA samples in EPIC

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