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A Personalized Prognostic Evaluation Method for Cervical Cancer Based on Multiple Gene Expression Profiles

A technique for prognostic assessment, cervical cancer, applied in the fields of biotechnology and medicine

Active Publication Date: 2020-12-29
KUNMING INST OF ZOOLOGY CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

However, most reports only use single or several genes, can only classify a group, and can only qualitatively divide the individual survival period (such as two indicators of good prognosis and poor prognosis)

Method used

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  • A Personalized Prognostic Evaluation Method for Cervical Cancer Based on Multiple Gene Expression Profiles
  • A Personalized Prognostic Evaluation Method for Cervical Cancer Based on Multiple Gene Expression Profiles
  • A Personalized Prognostic Evaluation Method for Cervical Cancer Based on Multiple Gene Expression Profiles

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Embodiment Construction

[0060]Hereinafter, the embodiments of the present invention will be described in detail with examples, so as to fully understand and implement the implementation process of how the present invention applies technical means to solve technical problems and achieve technical effects.

[0061]The present invention discloses a personalized prognostic evaluation method for cervical cancer based on multi-gene expression profile, including the following steps:

[0062]Step 1. Obtain the prognostic risk gene list and gene weights of cervical cancer, specifically:

[0063]Step 1.1. Download the transcriptome data and clinical data of the tumor tissue and para-cancerous tissue of cervical cancer patients from the Genomic Data Commons Data Portal database, and obtain the tumor tissue gene expression profile FPKM (FragmentsPerKilobase of transcript perMillion fragments mapped) value, logarithmic conversion (log2).

[0064]Step 1.2. Set the total number of samples as m, and divide all samples into three grou...

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Abstract

The invention discloses an individual cervical cancer prognosis evaluation method based on a poly-gene expression characteristic spectrum. The method comprises the following steps: acquiring a cervical cancer prognosis risk gene table and a gene weight; establishing a prognosis evaluation model by using cervical cancer patient tumor tissue transcriptome and survival data; according to a gene expression spectrum of tumor tissue of a patient suffering from cervical cancer, calculating a risk score of the patient; according to the risk score of the patient, calculating a survival probability of the patient each year. By adopting the method disclosed by the invention, the survivals probability of the patient suffering from cervical cancer each year is highly accordant with an actual survival rate each year (linear relationship R2=0.988, a P value=5.04E-38). Tests show that the method has very high prediction accuracy, and is highly coincided with an actual survival state. Meanwhile, for each tumor patient, a unique survival probability of the patient can be drawn by using the method.

Description

Technical field[0001]The invention belongs to the fields of biotechnology and medicine, and specifically relates to a method for personalized prognosis evaluation of cervical cancer based on a multi-gene expression profile.Background technique[0002]Cervical cancer is a malignant tumor with a high incidence of women in China and the world. The incidence and mortality of cervical cancer in developing countries are higher than those in developed countries worldwide, and the incidence of cervical cancer in developing countries is second only to breast cancer. Global Burden of Disease (GBD) data show that the number of people suffering from cervical cancer in the world reached 1.94 million in 2016, of which 350,000 were in China. In 2016, the global death toll of cervical cancer patients was 250,000, accounting for 0.45% of the total deaths. The number of deaths in China in 2016 was 38,000, accounting for 0.40% of the total deaths. Statistics show that the global prevalence of cervical c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C12Q1/6886
CPCC12Q1/6886C12Q2600/118C12Q2600/158
Inventor 李文兴李功华黄京飞赵旭东代绍兴
Owner KUNMING INST OF ZOOLOGY CHINESE ACAD OF SCI
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