Multi-factor model for predicting breast cancer onset risk and establishing method of multi-factor model

A technology for establishing methods and risk prediction, applied in the field of breast cancer risk assessment, which can solve problems such as lack of application effect

Inactive Publication Date: 2017-09-26
THE SECOND PEOPLES HOSPITAL OF SHENZHEN
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  • Multi-factor model for predicting breast cancer onset risk and establishing method of multi-factor model
  • Multi-factor model for predicting breast cancer onset risk and establishing method of multi-factor model

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[0028] In the following, the present invention will be described in detail and specifically through specific examples, so as to better understand the present invention, but the following examples do not limit the scope of the present invention.

[0029] A multi-factor prediction model for assessing the risk of familial breast cancer is mainly composed of conventional high-risk factors and gene mutation factors.

[0030] Such as figure 2 As shown, the method for establishing a multi-factor prediction model for assessing the risk of familial breast cancer in the embodiment of the present invention includes the following steps:

[0031] (1) Screening for high-risk factors:

[0032] The patients with breast cancer family history and those without the disease were selected for follow-up investigation. The investigation contents include: family history of tumor, history of benign breast disease, menstrual history, history of menarche, history of menopause, history of miscarriage,...

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Abstract

The invention discloses a multi-factor model for predicting a breast cancer onset risk and an establishing method of the multi-factor model. The establishing method of the multi-factor model comprises screening gene detection, wherein the screening comprises the following steps: (1) collecting and treating a peripheral blood sample; (2) establishing library DNA of the sample, and performing computer sequencing on a Hiseq sequencing platform; (3) performing biological information analysis on computer data, and finding pathogenic mutation; (4) sequencing mutation sites by using a golden standard Sanger sequencing technique, thereby obtaining accurate gene mutation information. By adopting the multi-factor model which is disclosed by the invention and is used for predicting the breast cancer onset risk, a part of people can be screened and diagnosed at an early stage, active interference measures can be taken, and the multi-factor model is particularly applicable to prediction on high-risk people suffering from familial breast cancer.

Description

technical field [0001] The present invention relates to the field of risk assessment of breast cancer, in particular to a multi-factor model for breast cancer risk prediction constructed by using multiple high-risk factors combined with germline gene mutations and its establishment method, especially suitable for familial breast cancer Prediction of high-risk groups. Background technique [0002] Breast cancer is one of the most common malignant tumors in women. According to the 2014 China Cancer Registry Annual Report, the incidence of breast cancer in China reached 42.55 / 100,000 in 2012, and increased at a rate of 2-3% per year, especially in urban areas. Early age of menarche, late age of menopause, infertility, overnutrition, obesity, diet, family history of breast cancer and other risk factors are related to the incidence of breast cancer. Family history is one of the most definite high-risk factors for breast cancer, and familial breast cancer accounts for a consider...

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Application Information

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IPC IPC(8): C12Q1/68G06F19/18G06F19/22G06F19/00A61B5/153
CPCA61B5/15003A61B5/150343A61B5/153C12Q1/6869C12Q1/6886C12Q2600/156G16B20/00G16B30/00C12Q2535/101
Inventor 王先明简文静肖瑜刘维湘
Owner THE SECOND PEOPLES HOSPITAL OF SHENZHEN
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