A DNA methylation pattern similar to normal tissue is associated with better prognosis in human cervical cancer

Cancer Letters

Volumn 209, Issue 2, 2004, Pages 231-236

  Müller, Hannes M ^a   Widschwendter, Andreas ^a   Fiegl, Heidi ^a   Goebel, Georg ^b   Wiedemair, Annemarie ^a   Müller Holzner, Elisabeth ^a   Marth, Christian ^a   Widschwendter, Martin ^a  

^a UNIVERSITY HOSPITAL INNSBRUCK   (Austria)

^b UNIVERSITY OF INNSBRUCK   (Austria)

Author keywords

Cervical cancer; Cluster analysis; DNA methylation; DNA methylation pattern; FIGO, international federation of gynecology and obstetrics; MethyLight; PMR, percentage of fully methylated reference; Prognosis

Indexed keywords

ADULT; AGED; ARTICLE; CANCER SURVIVAL; CLUSTER ANALYSIS; CONTROLLED STUDY; DNA METHYLATION; GENETIC PROCEDURES; HUMAN; HUMAN TISSUE; LABORATORY DIAGNOSIS; PRIORITY JOURNAL; PROGNOSIS; STATISTICAL SIGNIFICANCE; TISSUE SECTION; UTERINE CERVIX CANCER;

ADULT; AGED; AGED, 80 AND OVER; CASE-CONTROL STUDIES; CERVIX UTERI; CLUSTER ANALYSIS; CPG ISLANDS; DNA METHYLATION; DNA, NEOPLASM; FEMALE; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; MIDDLE AGED; PROGNOSIS; PROMOTER REGIONS (GENETICS); SURVIVAL RATE; UTERINE CERVICAL NEOPLASMS;

EID: 2442699984     PISSN: 03043835     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.canlet.2003.12.016     Document Type: Article

References (22)

1. Jones P.A., Laird P.W. Cancer epigenetics comes of age. Nat. Genet. 21:1999;163-167
2. Jones P.A., Baylin S.B. The fundamental role of epigenetic events in cancer. Nat. Rev. Genet. 3:2002;415-428
3. Laird P.W. Early detection: the power and the promise of DNA methylation markers. Nat. Rev. Cancer. 3:2003;253-266
4. Widschwendter M., Jones P.A. DNA methylation and breast carcinogenesis. Oncogene. 21:2002;5462-5482
5. Muller H.M., Widschwendter M. Methylated DNA as a possible screening marker for neoplastic disease in several body fluids. Expert. Rev. Mol. Diagn. 3:2003;443-458
6. Dong S.M., Kim H.S., Rha S.H., Sidransky D. Promoter hypermethylation of multiple genes in carcinoma of the uterine cervix. Clin. Cancer Res. 7:2001;1982-1986
7. Virmani A.K., Muller C., Rathi A., Zoechbauer-Mueller S., Mathis M., Gazdar A.F. Aberrant methylation during cervical carcinogenesis. Clin. Cancer Res. 7:2001;584-589
8. Chung C.H., Bernard P.S., Perou C.M. Molecular portraits and the family tree of cancer. Nat. Genet. 32:2002;533-540
9. Petricoin E.F. III, Hackett J.L., Lesko L.J., Puri R.K., Gutman S.I., Chumakov K., et al. Medical applications of microarray technologies: a regulatory science perspective. Nat. Genet. 32:2002;474-479
10. van't Veer L.J., Dai H., van de Vijver M.J., He Y.D., Hart A.A., Mao M., et al. Friend, Gene expression profiling predicts clinical outcome of breast cancer. Nature. 415:2002;530-536
11. van de Vijver M.J., He Y.D., van't Veer L.J., Dai H., Hart A.A., Voskuil D.W., et al. A gene-expression signature as a predictor of survival in breast cancer. N. Engl. J. Med. 347:2002;1999-2009
12. Pisani P., Parkin D.M., Bray F., Ferlay J. Estimates of the worldwide mortality from 25 cancers in 1990. Int. J. Cancer. 83:1999;18-29
13. Graflund M., Sorbe B., Hussein A., Bryne M., Karlsson M. The prognostic value of histopathologic grading parameters and microvessel density in patients with early squamous cell carcinoma of the uterine cervix. Int. J. Gynecol. Cancer. 12:2002;32-41
14. Takeda N., Sakuragi N., Takeda M., Okamoto K., Kuwabara M., Negishi H., Oikawa M., Yamamoto R., Yamada H., Fujimoto S. Multivariate analysis of histopathologic prognostic factors for invasive cervical cancer treated with radical hysterectomy and systematic retroperitoneal lymphadenectomy. Acta Obstet. Gynecol. Scand. 81:2002;1144-1151
15. Kitahara O., Katagiri T., Tsunoda T., Harima Y., Nakamura Y. Classification of sensitivity or resistance of cervical cancers to ionizing radiation according to expression profiles of 62 genes selected by cDNA microarray analysis. Neoplasia. 4:2002;295-303
16. Eads C.A., Danenberg K.D., Kawakami K., Saltz L.B., Blake C., Shibata D., Danenberg P.V., Laird P.W. MethyLight: a high-throughput assay to measure DNA methylation. Nucleic Acids Res. 28:2000;E32
17. Eads C.A., Lord R.V., Wickramasinghe K., Long T.I., Kurumboor S.K., Bernstein L., et al. Epigenetic patterns in the progression of esophageal adenocarcinoma. Cancer Res. 61:2001;3410-3418
18. Ehrlich M., Jiang G., Fiala E., Dome J.S., Yu M.C., Long T.I., et al. Hypomethylation and hypermethylation of DNA in Wilms tumors. Oncogene. 21:2002;6694-6702
19. Virmani A.K., Tsou J.A., Siegmund K.D., Shen L.Y., Long T.I., Laird P.W., Gazdar A.F., Laird-Offringa I.A. Hierarchical clustering of lung cancer cell lines using DNA methylation markers. Cancer Epidemiol. Biomarkers Prev. 11:2002;291-297
20. Dyrskjot L., Thykjaer T., Kruhoffer M., Jensen J.L., Marcussen N., Hamilton-Dutoit S., Wolf H., Orntoft T.F. Identifying distinct classes of bladder carcinoma using microarrays. Nat. Genet. 33:2003;90-96
21. Sorlie T., Perou C.M., Tibshirani R., Aas T., Geisler S., Johnsen H., et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc. Natl Acad. Sci. USA. 98:2001;10869-10874
22. Wei S.H., Chen C.M., Strathdee G., Harnsomburana J., Shyu C.R., Rahmatpanah F. Methylation microarray analysis of late-stage ovarian carcinomas distinguishes progression-free survival in patients and identifies candidate epigenetic markers. Clin. Cancer Res. 8:2002;2246-2252