A kit for assisting in judging the recurrence risk of endometrial cancer

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

Active Publication Date: 2019-10-11
PEOPLES HOSPITAL PEKING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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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  • A kit for assisting in judging the recurrence risk of endometrial cancer
  • A kit for assisting in judging the recurrence risk of endometrial cancer
  • A kit for assisting in judging the recurrence risk of endometrial cancer

Examples

Experimental program
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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 endometrial cancer recurrence

[0163] By analyzing the information of 520 endometrial cancer patients with complete clinical pathological data in the first hand pathological staging operation at Peking University People’s Hospital from January 2006 to December 2016. Collect the patient's preoperative age, lesion size, postoperative pathological type, stage, differentiation, whether the ascites tumor cells are positive, and lymphatic vessel tumor thrombus.

[0164] After the completion of systemic treatment, all patients were followed up by outpatient clinic, inpatient follow-up and telephone follow-up. Patients were followed up every 3 months in the first 1-2 years, every 6 months in ...

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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 risk of endometrial cancer recurrence, belonging 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 recurrence occur within 2 to 3 years after the initial treatment. Once recurrence, the prognosis is poor. According to traditional staging, differentiation, LVSI and other single risk factors, the prognosis cannot be accurately predicted, and it is difficult to accurately predict the time and condition of recurrence. Therefore, how to accurately assess the risk of postoperative recurrence of patients and give appropriate adjuvant treatment is a clinical problem currently facing. Due to the heterogeneity of tumor patients, clinicians and research scholars are constantly trying...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/50
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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