Kit for helping to determining recurrent risk of endometrial cancer

A technology of endometrial cancer and a kit, which is applied in the field of biomedicine and can solve the problems that endometrial cancer is in the preliminary stage and the prognosis model has not yet been initially established.

Active Publication Date: 2018-11-06
PEOPLES HOSPITAL PEKING UNIV
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  • Abstract
  • Description
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Problems solved by technology

However, its research in predicting prognosis in endometrial cancer is still in its infancy
A prognostic model for predicting recurrence based on the Chinese population has not yet been preliminarily established

Method used

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  • Kit for helping to determining recurrent risk of endometrial cancer
  • Kit for helping to determining recurrent risk of endometrial cancer
  • Kit for helping to determining recurrent risk of endometrial cancer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0160] The experimental methods used in the following examples are conventional methods unless otherwise specified.

[0161] The materials and reagents used in the following examples can be obtained from commercial sources unless otherwise specified.

[0162] 1. Screening of independent risk factors for recurrence of endometrial cancer

[0163] The information of 520 endometrial cancer patients with complete clinical and pathological data was analyzed by analyzing the information of 520 endometrial cancer patients who underwent pathological staging surgery for the first time in Peking University People's Hospital from January 2006 to December 2016. Clinical data such as preoperative age, lesion size, postoperative pathological type, stage, differentiation, positive tumor cells in ascites, tumor thrombus in lymph vessels, etc. were collected.

[0164] After the systemic treatment, all patients were followed up by outpatient, inpatient and telephone, every 3 months in the first...

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Abstract

The invention discloses a kit for helping to determining a recurrent risk of endometrial cancer. The kit comprises a parameter acquisition device and a readable carrier. The parameter acquisition device comprises a device for acquiring related various parameters in the readable carrier. The readable carrier records the contents of the following formulas I to IV. The formula I is that PI=0.867*FIGOII stage + 1.442 * FIGO stage III +2.717 * FIGO stage IV + 1.426 * G + 1.067 * tumor diameter + 0.898 * ascites tumor cell. The formula II is that P = PI - 1.431, wherein P represents a linear predicted value. The formula III is that P3 = S0(3)expP, wherein S0(3) represents the endometrial cancer average recurrence-free survival probability at the third year; and P3 represents the endometrial cancer recurrence-free survival probability of a tester within 3 years. The formula IIII is that P5 = S0(5)expP, wherein the S0(5) represents the endometrial cancer average recurrence-free survival probability at the fifth year; and P5 represents the endometrial cancer recurrence-free survival probability of the tester within 5 years. The kit can predict the endometrial cancer recurrence-free survival probability within 3 years and 5 years, classifies endometrial cancer patients into a high-risk group and a low-risk group according to the optimal threshold of 0.5186 for risk stratification, and contributes to clinical treatment guidance and follow-up visit.

Description

technical field [0001] The invention relates to a kit for assisting in judging the recurrence risk of endometrial cancer, which belongs to the field of biomedicine. Background technique [0002] Although the prognosis of patients with endometrial cancer is good, due to individual differences, some patients will still relapse after conventional surgical treatment. It is known that more than 70% of patients with relapse occur within 2 to 3 years after initial treatment, and once relapsed, the prognosis is poor. Traditional staging, differentiation, LVSI and other single risk factors cannot accurately predict the prognosis, and it is difficult to accurately predict the recurrence time and situation. Therefore, how to accurately assess the risk of postoperative recurrence and give appropriate adjuvant therapy is a clinical problem. Due to the heterogeneity of cancer patients, clinicians and researchers are constantly trying to establish a risk stratification management system ...

Claims

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Application Information

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IPC IPC(8): G16H50/50
CPCG16H50/50
Inventor 王建六程媛董阳阳张华赵一鸣李小平王志启
Owner PEOPLES HOSPITAL PEKING UNIV
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