Identification of small compound biomarkers of pituitary adenoma: A bilateral inferior petrosal sinus sampling study

Journal of NeuroInterventional Surgery

Volumn 6, Issue 7, 2014, Pages 541-546

  Oklu, Rahmi ^a   Deipolyi, Amy R ^a   Wicky, Stephan ^a   Ergul, Emel ^a   Deik, Amy A ^b   Chen, John W ^a   Hirsch, Joshua A ^a   Wojtkiewicz, Gregory R ^a   Clish, Clary B ^b  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b BROAD INSTITUTE OF MIT AND HARVARD   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

TUMOR MARKER;

ADENOMA; ADULT; CUSHING DISEASE; FEMALE; HUMAN; IMMUNOHISTOCHEMISTRY; MALE; METABOLISM; METABOLOMICS; MIDDLE AGED; PATHOLOGY; PETROSAL SINUS SAMPLING; PITUITARY NEOPLASMS; PROCEDURES;

ADENOMA; ADULT; FEMALE; HUMANS; IMMUNOHISTOCHEMISTRY; MALE; METABOLOMICS; MIDDLE AGED; PETROSAL SINUS SAMPLING; PITUITARY ACTH HYPERSECRETION; PITUITARY NEOPLASMS; TUMOR MARKERS, BIOLOGICAL;

EID: 84905909923     PISSN: 17598478     EISSN: 17598486     Source Type: Journal    
DOI: 10.1136/neurintsurg-2013-010821     Document Type: Article

References (31)

1. Melmed S. Pathogenesis of pituitary tumors. Nat Rev Endocrinol 2011;7:257-66.
2. Snyder PJ. Gonadotroph cell adenomas of the pituitary. Endocr Rev 1985;6:552-63.
3. Orth DN. Cushing's syndrome. N Engl J Med 1995;332:791-803.
4. Deipolyi A, Karaosmanoglu A, Habito C, et al. The role of bilateral inferior petrosal sinus sampling in the diagnostic evaluation of Cushing syndrome. Diagn Interv Radiol 2012;18:132-8.
5. Brindle JT, Antti H, Holmes E, et al. Rapid and noninvasive diagnosis of the presence and severity of coronary heart disease using 1H-NMR-based metabonomics. Nat Med 2002;8:1439-44. (Pubitemid 36019430)
6. Nicholson JK, Lindon JC. Systems biology: Metabonomics. Nature 2008;455:1054-6.
7. Sreekumar A, Poisson LM, Rajendiran TM, et al. Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression. Nature 2009;457:910-14.
8. Wang TJ, Larson MG, Vasan RS, et al. Metabolite profiles and the risk of developing diabetes. Nat Med 2011;17:448-53.
9. Jain M, Nilsson R, Sharma S, et al. Metabolite profiling identi fies a key role for glycine in rapid cancer cell proliferation. Science 2012;336:1040-4.
10. Rhee EP, Souza A, Farrell L, et al. Metabolite profiling identi fies markers of uremia. J Am Soc Nephrol 2010;21:1041-51.
11. Beckonert O, Keun HC, Ebbels TM, et al. Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts. Nat Protoc 2007;2:2692-703.
12. Georgitsi M, Raitila A, Karhu A, et al. Germline CDKN1B/p27Kip1 mutation in multiple endocrine neoplasia. J Clin Endocrinol Metab 2007;92:3321-5. (Pubitemid 47236408)
13. Molatore S, Pellegata NS. The MENX syndrome and p27: relationships with multiple endocrine neoplasia. Prog Brain Res 2010;182:295-320.
14. Zhan X, Desiderio DM. Signaling pathway networks mined from human pituitary adenoma proteomics data. BMC Med Genomics 2010;3:13.
15. Deipolyi AR, Hirsch JA, Oklu R. Bilateral inferior petrosal sinus sampling. J Neurointerv Surg 2011;4:215-18.
16. Lindholm J, Juul S, Jorgensen JO, et al. Incidence and late prognosis of Cushing's syndrome: a population-based study. J Clin Endocrinol Metab 2001;86:117-23. (Pubitemid 32111743)
17. Rhee EP, Cheng S, Larson MG, et al. Lipid profiling identifies a triacylglycerol signature of insulin resistance and improves diabetes prediction in humans. J Clin Invest 2011;121:1402-11.
18. Xia J, Psychogios N, Young N, et al. MetaboAnalyst: a web server for metabolomic data analysis and interpretation. Nucleic Acids Res 2009;37:W652-60.
19. Kanehisa M, Goto S. KEGG: Kyoto Encyclopedia of Genes and Genomes. Nucleic Acids Res 2000;28:27-30.
20. Kanehisa M, Goto S, Sato Y, et al. KEGG for integration and interpretation of large-scale molecular data sets. Nucleic Acids Res 2012;40:D109-14.
21. Aittokallio T, Schwikowski B. Graph-based methods for analysing networks in cell biology. Brief Bioinform 2006;7:243-55. (Pubitemid 44404874)
22. Oklu R, Albadawi H, Watkins MT, et al. Detection of extracellular genomic DNA scaffold in human thrombus: implications for the use of deoxyribonuclease enzymes in thrombolysis. J Vasc Interv Rad 2012;23:712-28.
23. Wishart DS, Knox C, Guo AC, et al. HMDB: a knowledgebase for the human metabolome. Nucleic Acids Res 2009;37:D603-10.
24. Wishart DS, Tzur D, Knox C, et al. HMDB: the Human Metabolome Database. Nucleic Acids Res 2007;35:D521-6. (Pubitemid 46056263)
25. Johansson M, Relton C, Ueland PM, et al. Serum B vitamin levels and risk of lung cancer. JAMA 2010;303:2377-85.
26. Larsson SC, Orsini N, Wolk A. Vitamin B6 and risk of colorectal cancer: a meta-analysis of prospective studies. JAMA 2010;303:1077-83.
27. Degirolamo C, Modica S, Palasciano G, et al. Bile acids and colon cancer: Solving the puzzle with nuclear receptors. Trends Mol Med 2011;17:564-72.
28. Wright ME, Bowen P, Virtamo J, et al. Estimated phytanic acid intake and prostate cancer risk: A prospective cohort study. Int J Cancer 2011.
29. Xu J, Thornburg T, Turner AR, et al. Serum levels of phytanic acid are associated with prostate cancer risk. Prostate 2005;63:209-14. (Pubitemid 40571054)
30. Wierzbicki AS, Mayne PD, Lloyd MD, et al. Metabolism of phytanic acid and 3-methyl-adipic acid excretion in patients with adult Refsum disease. J Lipid Res 2003;44:1481-8. (Pubitemid 37279592)
31. Possemato R, Marks KM, Shaul YD, et al. Functional genomics reveal that the serine synthesis pathway is essential in breast cancer. Nature 2011;476:346-50.