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1. Association of adrenal steroids with metabolomic profiles in patients with primary and endocrine hypertension

2. Delineating endogenous Cushing’s syndrome by GC-MS urinary steroid metabotypingResearch in context

3. Prediction of metastatic pheochromocytoma and paraganglioma: a machine learning modelling study using data from a cross-sectional cohort

4. Genomic and immune landscape Of metastatic pheochromocytoma and paraganglioma

5. Impact of body composition and genotype on haemodynamics during surgery for pheochromocytoma and paraganglioma

6. HIF and MYC signaling in adrenal neoplasms of the neural crest: implications for pediatrics

7. Angpt2/Tie2 autostimulatory loop controls tumorigenesis

8. Co-occurrence of mutations in NF1 and other susceptibility genes in pheochromocytoma and paraganglioma

9. Silent pheochromocytoma and paraganglioma: Systematic review and proposed definitions for standardized terminology

10. Machine learning for classification of hypertension subtypes using multi-omics: A multi-centre, retrospective, data-driven study

11. Optimized procedures for testing plasma metanephrines in patients on hemodialysis

12. Biochemical Diagnosis of Catecholamine-Producing Tumors of Childhood: Neuroblastoma, Pheochromocytoma and Paraganglioma

13. Intrarenal hemodynamics and kidney function in pheochromocytoma and paraganglioma before and after surgical treatment

14. Generation and characterization of a mitotane-resistant adrenocortical cell line

15. Predicting Hypertension Subtypes with Machine Learning Using Targeted Metabolites and Their Ratios

16. Preanalytical Pitfalls in Untargeted Plasma Nuclear Magnetic Resonance Metabolomics of Endocrine Hypertension

17. The longevity gene mIndy (I’m Not Dead, Yet) affects blood pressure through sympathoadrenal mechanisms

18. Pheochromocytoma Concealed By Chronic Methamphetamine Abuse

19. Differential Responses of Urinary Epinephrine and Norepinephrine to 24-h Shift-Work Stressor in Physicians

20. Cancer Stem Cells in Pheochromocytoma and Paraganglioma

21. Treatment of Pheochromocytoma Cells with Recurrent Cycles of Hypoxia: A New Pseudohypoxic In Vitro Model

22. Missed clinical clues in patients with pheochromocytoma/paraganglioma discovered by imaging

23. Targeted Quantification of Carbon Metabolites Identifies Metabolic Progression Markers and an Undiagnosed Case of SDH-Deficient Clear Cell Renal Cell Carcinoma in a German Cohort

24. Update on Modern Management of Pheochromocytoma and Paraganglioma

25. Steroid Profiling as an Additional Tool to Confirm One-Sided Hormone Overproduction in Primary Aldosteronism: A Case Report

26. Hypoxia-Inducible Factor 2α Mutation-Related Paragangliomas Classify as Discrete Pseudohypoxic Subcluster

27. Compensation for chronic oxidative stress in ALADIN null mice

28. Development of a Function-Integrative Sleeve for Medical Applications

29. Resection of Pheochromocytoma in a Patient Requiring Coronary Artery Bypass Grafting: First Things First

30. Involvement of Epigenetic Mechanisms in the Regulation of Secreted Phospholipase A2 Expressions in Jurkat Leukemia Cells

31. Differentiation of Chromaffin Progenitor Cells to Dopaminergic Neurons

32. Pheochromocytoma – update on disease management

33. Recurrent Disease in Patients With Sporadic Pheochromocytoma and Paraganglioma

34. Report from the HarmoSter study

35. Cardiac Phenotypes in Secondary Hypertension

36. Integration of artificial intelligence and plasma steroidomics with laboratory information management systems: application to primary aldosteronism

37. Personalized drug testing in human pheochromocytoma/paraganglioma primary cultures

38. Supplementary Figure S2 from Targeted Exome Sequencing of Krebs Cycle Genes Reveals Candidate Cancer–Predisposing Mutations in Pheochromocytomas and Paragangliomas

39. Data from DNA Methylation Profiling in Pheochromocytoma and Paraganglioma Reveals Diagnostic and Prognostic Markers

40. Data from The CD98 Heavy Chain Is a Marker and Regulator of Head and Neck Squamous Cell Carcinoma Radiosensitivity

41. Supplementary Table S1 from Targeted Exome Sequencing of Krebs Cycle Genes Reveals Candidate Cancer–Predisposing Mutations in Pheochromocytomas and Paragangliomas

42. Supplemental Table 2 from DNA Methylation Profiling in Pheochromocytoma and Paraganglioma Reveals Diagnostic and Prognostic Markers

43. Supplementary figures 1 to 3 from Genotype-Specific Abnormalities in Mitochondrial Function Associate with Distinct Profiles of Energy Metabolism and Catecholamine Content in Pheochromocytoma and Paraganglioma

44. Supplementary legend from Genotype-Specific Abnormalities in Mitochondrial Function Associate with Distinct Profiles of Energy Metabolism and Catecholamine Content in Pheochromocytoma and Paraganglioma

45. Data from MAX Mutations Cause Hereditary and Sporadic Pheochromocytoma and Paraganglioma

46. Supplementary Figure Legends from Targeted Exome Sequencing of Krebs Cycle Genes Reveals Candidate Cancer–Predisposing Mutations in Pheochromocytomas and Paragangliomas

47. Data from Targeted Exome Sequencing of Krebs Cycle Genes Reveals Candidate Cancer–Predisposing Mutations in Pheochromocytomas and Paragangliomas

48. Supplemental Table 1 from DNA Methylation Profiling in Pheochromocytoma and Paraganglioma Reveals Diagnostic and Prognostic Markers

49. supplemental legend from DNA Methylation Profiling in Pheochromocytoma and Paraganglioma Reveals Diagnostic and Prognostic Markers

50. Data from Genotype-Specific Abnormalities in Mitochondrial Function Associate with Distinct Profiles of Energy Metabolism and Catecholamine Content in Pheochromocytoma and Paraganglioma

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