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Molecular model for judging prognosis of ovarian cancer patient and application

A molecular model and ovarian cancer technology, applied in the field of biomedicine, can solve problems such as easy recurrence or drug resistance, inability to stratify ovarian cancer patients, and lack of markers for ovarian cancer patients

Active Publication Date: 2021-04-20
ZHONGSHAN HOSPITAL FUDAN UNIV
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Problems solved by technology

Ovarian cancer patients have a good initial treatment effect, but they are prone to relapse or drug resistance, resulting in a very low survival rate within 5 years for ovarian cancer patients
One of the main reasons is the lack of effective markers for judging the prognosis of ovarian cancer patients, the inability to stratify the risk of ovarian cancer patients, and the inability to guide clinicians in early intervention and early treatment of high-risk ovarian cancer patients

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  • Molecular model for judging prognosis of ovarian cancer patient and application
  • Molecular model for judging prognosis of ovarian cancer patient and application
  • Molecular model for judging prognosis of ovarian cancer patient and application

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Embodiment Construction

[0026] The invention provides a molecular model for judging the prognosis of ovarian cancer patients and its application. That is, aiming at the metabolic genes of ovarian cancer patients, using database and statistics to establish a risk model for the prognosis of ovarian cancer, and through further clinical specimen verification, it can be used as a molecular model to predict the prognosis of ovarian cancer patients.

[0027] The molecular model for judging the prognosis of ovarian cancer patients of the present invention comprises the following steps:

[0028] (1) First download the data of 379 ovarian cancer tissue samples from the TCGA database (https: / / portal.gdc.cancer.gov / ), and download the data of 88 cases from the GTEX database (https: / / www.gtexportal.org) For the data of normal ovarian tissue samples, compare the data of ovarian cancer tissue samples in the TCGA database with the metabolism-related genes in the normal ovarian tissue samples of the GTEX database, se...

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Abstract

The invention provides a molecular model for judging prognosis of an ovarian cancer patient and application. The molecular model comprises the steps of: comparing data of an ovarian cancer sample and data of a normal ovarian tissue sample to obtain metabolic genes with differences; shortening the range of the metabolic genes through a regression model to obtain a seven-gene combination model; and carrying out detection, verification and analysis and finally, obtaining a result that a risk score is related to the lifetime, and a patient with a high risk score has short lifetime and is poor in prognosis. Therefore, according to the invention, by constructing the molecular combination model of seven genes, prognosis of the ovarian cancer patient is evaluated, and the ovarian cancer patient who is poor in prognosis can be distinguished and selected, i.e., ovarian cancer crowds are layered, the ovarian cancer patients with high risk and poor prognosis are selected, clinicians are guided to provide more positive treatment schemes for the patients, and meanwhile, the clinicians can also be guided to avoid excessive treatment on the low-risk ovarian cancer patient.

Description

technical field [0001] The invention belongs to the technical field of biomedicine, and in particular relates to a molecular model for judging the prognosis of ovarian cancer patients and its application. Background technique [0002] Ovarian cancer is the most lethal gynecological malignancy. The death rate of ovarian cancer ranks seventh among all malignant tumors in women, with a death rate as high as 60%, which is much higher than other gynecological tumors. Ovarian cancer patients have a good initial treatment effect, but they are prone to relapse or drug resistance, resulting in a very low survival rate within 5 years for ovarian cancer patients. One of the main reasons is the lack of effective markers for judging the prognosis of ovarian cancer patients, the inability to stratify the risk of ovarian cancer patients, and the inability to guide clinicians in early intervention and early treatment of high-risk ovarian cancer patients. Contents of the invention [000...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886G01N33/574G16H50/30G16H50/50G06K9/62
Inventor 张凌云刘天舒王妍李倩
Owner ZHONGSHAN HOSPITAL FUDAN UNIV
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