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Items: 13

1.

DNA methylation biomarkers of prostate cancer: confirmation of candidates and evidence urine is the most sensitive body fluid for non-invasive detection.

Payne SR, Serth J, Schostak M, Kamradt J, Strauss A, Thelen P, Model F, Day JK, Liebenberg V, Morotti A, Yamamura S, Lograsso J, Sledziewski A, Semjonow A.

Prostate. 2009 Sep 1;69(12):1257-69. doi: 10.1002/pros.20967.

PMID:
19459176
2.

Circulating methylated SEPT9 DNA in plasma is a biomarker for colorectal cancer.

deVos T, Tetzner R, Model F, Weiss G, Schuster M, Distler J, Steiger KV, Grützmann R, Pilarsky C, Habermann JK, Fleshner PR, Oubre BM, Day R, Sledziewski AZ, Lofton-Day C.

Clin Chem. 2009 Jul;55(7):1337-46. doi: 10.1373/clinchem.2008.115808. Epub 2009 Apr 30.

3.

Quantitative DNA methylation analysis of FOXP3 as a new method for counting regulatory T cells in peripheral blood and solid tissue.

Wieczorek G, Asemissen A, Model F, Turbachova I, Floess S, Liebenberg V, Baron U, Stauch D, Kotsch K, Pratschke J, Hamann A, Loddenkemper C, Stein H, Volk HD, Hoffmüller U, Grützkau A, Mustea A, Huehn J, Scheibenbogen C, Olek S.

Cancer Res. 2009 Jan 15;69(2):599-608. doi: 10.1158/0008-5472.CAN-08-2361.

4.

Sensitive detection of colorectal cancer in peripheral blood by septin 9 DNA methylation assay.

Grützmann R, Molnar B, Pilarsky C, Habermann JK, Schlag PM, Saeger HD, Miehlke S, Stolz T, Model F, Roblick UJ, Bruch HP, Koch R, Liebenberg V, Devos T, Song X, Day RH, Sledziewski AZ, Lofton-Day C.

PLoS One. 2008;3(11):e3759. doi: 10.1371/journal.pone.0003759. Epub 2008 Nov 19.

5.

DNA methylation biomarkers for blood-based colorectal cancer screening.

Lofton-Day C, Model F, Devos T, Tetzner R, Distler J, Schuster M, Song X, Lesche R, Liebenberg V, Ebert M, Molnar B, Grützmann R, Pilarsky C, Sledziewski A.

Clin Chem. 2008 Feb;54(2):414-23. Epub 2007 Dec 18.

6.

DNA methylation analysis as novel tool for quality control in regenerative medicine.

Rapko S, Baron U, Hoffmüller U, Model F, Wolfe L, Olek S.

Tissue Eng. 2007 Sep;13(9):2271-80.

PMID:
17590152
7.

Identification and validation of colorectal neoplasia-specific methylation markers for accurate classification of disease.

Model F, Osborn N, Ahlquist D, Gruetzmann R, Molnar B, Sipos F, Galamb O, Pilarsky C, Saeger HD, Tulassay Z, Hale K, Mooney S, Lograsso J, Adorjan P, Lesche R, Dessauer A, Kleiber J, Porstmann B, Sledziewski A, Lofton-Day C.

Mol Cancer Res. 2007 Feb;5(2):153-63.

8.

Aristaless-like homeobox-4 gene methylation is a potential marker for colorectal adenocarcinomas.

Ebert MP, Model F, Mooney S, Hale K, Lograsso J, Tonnes-Priddy L, Hoffmann J, Csepregi A, Röcken C, Molnar B, Schulz HU, Malfertheiner P, Lofton-Day C.

Gastroenterology. 2006 Nov;131(5):1418-30. Epub 2006 Aug 18.

PMID:
17101318
9.

Association of DNA methylation of phosphoserine aminotransferase with response to endocrine therapy in patients with recurrent breast cancer.

Martens JW, Nimmrich I, Koenig T, Look MP, Harbeck N, Model F, Kluth A, Bolt-de Vries J, Sieuwerts AM, Portengen H, Meijer-Van Gelder ME, Piepenbrock C, Olek A, Höfler H, Kiechle M, Klijn JG, Schmitt M, Maier S, Foekens JA.

Cancer Res. 2005 May 15;65(10):4101-17.

10.

Differences in DNA methylation patterns between humans and chimpanzees.

Enard W, Fassbender A, Model F, Adorján P, Pääbo S, Olek A.

Curr Biol. 2004 Feb 17;14(4):R148-9. No abstract available.

11.

Statistical process control for large scale microarray experiments.

Model F, König T, Piepenbrock C, Adorján P.

Bioinformatics. 2002;18 Suppl 1:S155-63.

PMID:
12169543
12.

Tumour class prediction and discovery by microarray-based DNA methylation analysis.

Adorján P, Distler J, Lipscher E, Model F, Müller J, Pelet C, Braun A, Florl AR, Gütig D, Grabs G, Howe A, Kursar M, Lesche R, Leu E, Lewin A, Maier S, Müller V, Otto T, Scholz C, Schulz WA, Seifert HH, Schwope I, Ziebarth H, Berlin K, Piepenbrock C, Olek A.

Nucleic Acids Res. 2002 Mar 1;30(5):e21.

13.

Feature selection for DNA methylation based cancer classification.

Model F, Adorján P, Olek A, Piepenbrock C.

Bioinformatics. 2001;17 Suppl 1:S157-64.

PMID:
11473005

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