Method for the analysis of ovarian cancer disorders

A technology for ovarian cancer, disease, applied in the fields of molecular biology and human genetics, biology and chemistry, which can solve the problems of late diagnosis, vague symptoms, and non-specificity

Inactive Publication Date: 2010-08-11
KONINKLIJKE PHILIPS ELECTRONICS NV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is disproportionately lethal because symptoms are vague and nonspecific and thus diagnosed late

Method used

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  • Method for the analysis of ovarian cancer disorders
  • Method for the analysis of ovarian cancer disorders
  • Method for the analysis of ovarian cancer disorders

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0080] sample

[0081] Patient samples were obtained from the Norwegian Radium Hospital, Oslo, Norway, and patient informed consent was obtained as required by law.

[0082] CPG Island

[0083]Annotated CpG islands were obtained from the UCSC genome browser. These islands were predicted using the published Gardiner-Garden definition (Gardiner-Garden, M. and M. Frommer (1987). "CpG islands in vertebral genomes." J Mol Biol 196(2):261-82), involving the following criteria : Length>=200bp, %GC>=50%, observed / expected CpG>=0.6. There are about 26219 CpG islands ranging from 200bp to 2000bp in the genome. These islands can be adequately covered by Msp I restriction fragmentation.

[0084] Arrays were prepared by Nimblegen Systems using the 390K format following the instructions below. 50-mer stacked arrays were designed using CpG island annotations from human genome construct 33 (hg17). The 50mers were shifted on either side of the island sequence coordinates in order to even...

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Abstract

The invention relates to a method for the analysis of ovarian cancer disorders, comprising determining the genomic methylation status of one or more CpG dinucleotides in a sequence selected from the group of sequences according to SEQ ID NO. 1 to 10 and / or SEQ ID NO. 50 to SEQ ID NO. 60. Optionally, additionally following steps are performed, the one or more results from the methylation status test is input into a classifier that is obtained from a Diagnostic Multi Variate Model, calculating a likelihood as to whether the sample is from a normal tissue or an ovarian cancer tissue and / or, calculating an associated p-value for the confidence in the prediction.

Description

field of invention [0001] The present invention belongs to the field of biology and chemistry, and more particularly to the fields of molecular biology and human genetics. The present invention relates to the field of identifying methylation sites in human DNA, particularly in certain defined sequences which, when methylated, are indicative of the presence of ovarian cancer. Background of the invention [0002] Ovarian cancer is the fifth leading cause of cancer death in women, the first leading cause of death from gynecologic malignancies, and the second most commonly diagnosed gynecologic malignancy (Merck Manual Part 18, Gynecology and Obstetrics Chapter 241, Gynecologic Oncology). [0003] It is idiopathic, meaning the exact cause is unknown. The disease is more common in industrialized countries, with the exception of Japan. In the United States, women have a 1.4%-2.5% (1 in 40-60) lifetime chance of developing ovarian cancer. [0004] More than half of ovarian canc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/68
CPCC12Q2600/156C12Q2600/154C12Q1/6886A61P35/00
Inventor S·卡马拉卡兰R·卢西托J·B·希克斯
Owner KONINKLIJKE PHILIPS ELECTRONICS NV
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