References
- Biomarkers Definitions Working Group. Biomarkers and surrogate endpoints: preferred definitions and conceptual framework. Clin. Pharmacol. Ther. 69(3), 89–95 (2001).
- Herholz K. Use of FDG PET as an imaging biomarker in clinical trials of Alzheimer's disease. Biomark. Med. 6(4), 431–439 (2012).
- Moorcraft SY, Smyth EC, Cunningham D. The role of personalized medicine in metastatic colorectal cancer: an evolving landscape. Therap. Adv. Gastroenterol. 6(5), 381–395 (2013).
- Bhavsar T, McCue P, Birbe R. Molecular diagnosis of prostate cancer: are we up to age? Semin. Oncol. 40(3), 259–275 (2013).
- Qaseem A, Denberg TD, Hopkins RH Jr et al. Clinical guidelines committee of the American College of Physicians. screening for colorectal cancer: a guidance statement from the American College of Physicians. Ann. Intern. Med. 156(5), 378–386 (2012).
- Qaseem A, Barry MJ, Denberg TD, Owens DK, Shekelle P. Clinical guidelines committee of the American College of Physicians. screening for prostate cancer: a guidance statement from the clinical guidelines committee of the American College of Physicians. Ann. Intern. Med. 158(10), 761–769 (2013).
- Torres A, Ramirez P, Montull B, Menendez R. Biomarkers and community-acquired pneumonia: tailoring management with biological data. Semin. Respir. Crit. Care Med. 33(3), 266–271 (2012).
- Tockman MS, Gupta PK, Pressman NJ, Mulshine JL. Considerations in bringing a cancer biomarker to clinical application. Cancer Res. 52( Suppl. 52), S2711–S2718 (1992).
- van Dijk KD, Teunissen CE, Drukarch B et al. Diagnostic cerebrospinal fluid biomarkers for Parkinson's disease: a pathogenetically based approach. Neurobiol. Dis. 39(3), 229–241 (2010).
- Ho L, Sharma N, Blackman L, Festa E, Reddy G, Pasinetti GM. From proteomics to biomarker discovery in Alzheimer's disease. Brain Res. Brain Res. Rev. 48(2), 360–369 (2005).
- Pollard JR, Eidelman O, Mueller GP et al. The tarc/sicam5 ratio in patient plasma is a candidate biomarker for drug resistant epilepsy. Front. Neurol. 3, 181 (2012).
- Pyrzak B, Ruminska M, Popko K, Demkow U. Adiponectin as a biomarker of the metabolic syndrome in children and adolescents. Eur. J. Med. Res. 15( Suppl. 15), 147–151 (2010).
- Mill J, Tang T, Kaminsky Z et al. Epigenomic profiling reveals DNA-methylation changes associated with major psychosis. Am. J. Hum. Genet. 82(3), 696–711 (2008).
- Paik S. Is gene array testing to be considered routine now? Breast 20( Suppl. 20), S87–S91 (2011).
- Mathews HL, Konley T, Kosik KL et al. Epigenetic patterns associated with the immune dysregulation that accompanies psychosocial distress. Brain Behav. Immun. 25(5), 830–839 (2011).
- Hricik T, Federici G, Zeuner A et al. Transcriptomic and phospho-proteomic analyzes of erythroblasts expanded in vitro from normal donors and from patients with polycythemia vera. Am. J. Hematol. 88(9), 723–729 (2013).
- Kisiel JB, Garrity-Park MM, Taylor WR, Smyrk TC, Ahlquist DA. Methylated Eyes Absent 4 (EYA4) gene promotor in non-neoplastic mucosa of ulcerative colitis patients with colorectal cancer: evidence for a field effect. Inflamm. Bowel Dis. 19(10), 2079–2083 (2013).
- de Meij TG, Larbi IB, van der Schee MP et al. Electronic nose can discriminate colorectal carcinoma and advanced adenomas by fecal volatile biomarker analysis: proof of principle study. Int. J. Cancer doi:10.1002/ijc.28446 (2013) ( Epub ahead of print).
- Calore F, Lovat F, Garofalo M. Non-coding RNAs and cancer. Int. J. Mol. Sci. 14(8), 17085–17110 (2013).
- Tanaka Y, Kamohara H, Kinoshita K et al. Clinical impact of serum exosomal microRNA-21 as a clinical biomarker in human esophageal squamous cell carcinoma. Cancer 119(6), 1159–1167 (2013).
- Yang M, Soga T, Pollard PJ. Oncometabolites: linking altered metabolism with cancer. J. Clin. Invest. 123(9), 3652–3658 (2013).
- Chatterjee M, Tainsky MA. Autoantibodies as biomarkers for ovarian cancer. Cancer Biomark. 8(4–5), 187–201 (2010).
- Lyman GH, Cosler LE, Kuderer NM, Hornberger J. Impact of a 21-gene RT-PCR assay on treatment decisions in early-stage breast cancer: an economic analysis based on prognostic and predictive validation studies. Cancer 109(6), 1011–1018 (2007).
- Mook S, Schmidt MK, Weigelt B et al. The 70-gene prognosis signature predicts early metastasis in breast cancer patients between 55 and 70 years of age. Ann. Oncol. 21(4), 717–722 (2010).
- Levenson VV, Melnikov AA. The MethDet: a technology for biomarker development. Expert Rev. Mol. Diagn. 11(8), 807–812 (2011).
- Liggett TE, Melnikov A, Yi Q et al. Distinctive DNA methylation patterns of cell-free plasma DNA in women with malignant ovarian tumors. Gynecol. Oncol. 120(1), 113–120 (2011).
- Ponomaryova AA, Rykova EY, Cherdyntseva NV et al. Potentialities of aberrantly methylated circulating DNA for diagnostics and post-treatment follow-up of lung cancer patients. Lung Cancer 81(3), 397–403 (2013).
- Ma Y, Wang X, Jin H. Methylated DNA and microRNA in body fluids as biomarkers for cancer detection. Int. J. Mol. Sci. 14(5), 10307–10331 (2013).
- Bryzgunova OE, Skvortsova TE, Kolesnikova EV et al. Isolation and comparative study of cell-free nucleic acids from human urine. Ann. N. Y. Acad. Sci. 1075, 334–340 (2006).
- Liggett TE, Melnikov AA, Marks JR, Levenson VV. Methylation patterns in cell-free plasma DNA reflect removal of the primary tumor and drug treatment of breast cancer patients. Int. J. Cancer 128(2), 492–499 (2011).
- Liggett T, Melnikov A, Yi QL. Differential methylation of cell-free circulating DNA among patients with pancreatic cancer versus chronic pancreatitis. Cancer 116(7), 1674–1680 (2010).
- Melnikov A, Scholtens D, Godwin A, Levenson V. Differential methylation profile of ovarian cancer in tissues and plasma. J. Mol. Diagn. 11(1), 60–65 (2009).