Method for the analysis of breast cancer disorders

A breast cancer, disorder technology with applications in biology and chemistry, molecular biology and human genetics to address problems such as poor performance characteristics

Inactive Publication Date: 2010-10-13
KONINK PHILIPS ELECTRONICS NV +1
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  • Summary
  • Abstract
  • Description
  • Claims
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Problems solved by technology

Blood tumor marker tests are not routinely performed for breast cancer screening and have poor performance properties for this purpose

Method used

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

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Embodiment Construction

[0018] The inventor surprisingly found that a small part of the DNA sequence can be used to analyze breast cancer disorders. This is accomplished by determining the genome methylation status of one or more CpG dinucleotides in the sequence disclosed herein or its reverse complement. A total of 900 sequences suitable for this analysis were identified. It turns out that 100 sequences are particularly suitable.

[0019] Based on only 10 sequences, such as the first ten features from Table 1A or 1B (p value 0.000.1), a classification accuracy of 94% can be achieved (Comparison of the total number of correct predictions on whether a given sample is from a breast tumor Total number of predictions made, 49 / 52). The sensitivity for tumor detection is 92.5% (37 / 40), and the specificity for tumor detection (specificity = 100%). Increasing the feature size to 50 gives a classification rate of 96% (50 / 52 is accurately classified).

[0020] The sequence can be found in the gene as can be se...

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Abstract

Method for the analysis of breast 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 breast cancer tissue and / or, calculating an associated p-value for the confidence in the prediction.

Description

Technical field [0001] The present invention belongs to the fields of biology and chemistry, more specifically to the fields of molecular biology and human genetics. The present invention relates to the field of identifying methylation sites in human DNA, especially methylation sites in certain prescribed sequences, which are indicative of breast cancer when methylated. Background technique [0002] In the world, breast cancer is the fifth most common cause of cancer deaths (after lung cancer, stomach cancer, liver cancer, and colon cancer). In 2005, breast cancer caused 502,000 deaths worldwide (7% of cancer deaths; almost 1% of all deaths). Among women worldwide, breast cancer is the most common cancer and the most common cause of cancer death. [0003] In the United States, breast cancer is the third most common cause of cancer deaths (after lung and colon cancer). In 2007, breast cancer is expected to cause 40,910 deaths in the United States (7% of cancer deaths; almost 2% o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/68
CPCC12Q2600/154C12Q1/6886C12Q1/6827C12Q2523/125
Inventor S·卡马拉卡兰R·卢西托J·B·希克斯X·赵J·肯达尔
Owner KONINK PHILIPS ELECTRONICS NV
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