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Method and device for screening, diagnosing or risk grading of ovarian cancer

A technology for risk classification and ovarian cancer, applied in the field of medical testing, can solve the problems of rapid diagnosis of ovarian cancer and achieve fast calculation speed, high degree of automation, and accurate screening results

Inactive Publication Date: 2020-03-13
NANJING GEZHI GEMONICS CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, as far as we know, there is no effective method for rapid diagnosis, especially early diagnosis, of ovarian cancer through NGS and decision tree

Method used

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  • Method and device for screening, diagnosing or risk grading of ovarian cancer
  • Method and device for screening, diagnosing or risk grading of ovarian cancer
  • Method and device for screening, diagnosing or risk grading of ovarian cancer

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0265] Embodiments of the present invention will be described in detail below in conjunction with examples, but those skilled in the art will understand that the following examples are only used to illustrate the present invention, and should not be considered as limiting the scope of the present invention. Those who do not indicate the specific conditions in the examples are carried out according to the conventional conditions or the conditions suggested by the manufacturer. The reagents or instruments used were not indicated by the manufacturer, and they were all commercially available conventional products.

Embodiment 1

[0267] Example 1. Collection of plasma and serum

[0268] Plasma and serum were collected by:

[0269] (1) Collect 12ml (6ml*2) of peripheral blood from the subject and place it in an EDTA anticoagulant tube, and immediately invert the mixed blood collection tube 10 times gently to obtain fresh blood.

[0270] (2) Within 4 hours of collecting fresh blood, centrifuge it at 4° C. and 1600 g for 10 minutes.

[0271] (3) After centrifugation, divide the supernatant (plasma) into multiple 1.5ml centrifuge tubes.

[0272] (4) Centrifuge the supernatant collected in step (3) at 4° C. and 16,000 g for 10 minutes to remove residual cells; divide the supernatant (ie plasma) into new 1.5 ml centrifuge tubes.

[0273] (5) Collect 6ml (6ml*1) of peripheral blood from the subject, put it in a vacuum blood collection tube containing separating gel and coagulant, and let it stand at room temperature for 30 minutes to obtain serum. Serum samples should be stored at +2°C to +8°C

[0274] It ...

Embodiment 2

[0275] Embodiment 2. Measure the CA-125 value of serum

[0276] The EIA kit (CanAg CA125EIA, 40010) from Sweden’s Fujirebio Diagnostic Reagent Company was used, and the operation was performed according to the instructions, and the specific operation steps were as follows:

[0277] (1) Prepare the cleaning solution according to the product instructions. Rinse the container with distilled water three times before use. Pour the 50ml concentrated cleaning solution included in the kit into a clean container. Add 1200ml of distilled or deionized water. After 25-fold dilution, it will be cleaning solution required.

[0278] (2) Move the microwell strip to the strip rack (remaining unused strips are placed back in the plastic bag and sealed). Wash the microwell strips once in 30 minutes with the washing solution.

[0279] (3) Add 25ul of CA-125 standard (CAL 0, 10, 40, 200, 500), CA-125 quality control (C1, C2) and subject serum samples ( Unknown concentration - Unk) into the micr...

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Abstract

The invention relates to a method and a device for screening, diagnosing or risk grading of ovarian cancer. Specifically, the invention relates to a method and a device for screening, diagnosing or risk grading of ovarian cancer by constructing a decision tree model by using high-throughput sequencing and CA-125 level; and more specifically, the invention relates to construction of the decision tree model by using high-throughput sequencing and CA-125 level, and training of the model for screening and detection of ovarian cancer; and therefore, the clinical problems of difficult discovery of the ovarian cancer due to hidden early ovarian cancer symptoms, difficulty in judging whether masses are ovarian cancer or benign ovarian tumors due to undetermined ovarian masses in property, and thepossibility of negative tumor markers accompanied by malignant pelvic cavity masses are solved from the molecular biology level. According to the method and the system, the possible ovarian cancer canbe found through one-time detection.

Description

technical field [0001] The invention relates to the fields of medicine, biology, pattern recognition and the like. In particular, the invention relates to medical testing. More specifically, the present invention constructs a decision tree model through genome detection and CA-125 results, and trains the model to perform screening, detection and risk classification of ovarian cancer. Background technique [0002] Ovarian cancer is the tumor with the highest mortality rate among gynecological malignancies. Ovarian cancer is the leading cause of death among all gynecological cancers in Western countries. In China, the estimated number of new cases and deaths from ovarian cancer in 2015 was 52,100 and 22,500, respectively. Because ovarian cancer is located in the deep pelvic cavity, the location is hidden, it is difficult to find, and the symptoms are not typical, and there is a lack of early diagnostic markers and effective tools. When it can be found and diagnosed, it is o...

Claims

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Application Information

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IPC IPC(8): G16B40/00G16B25/00G16B30/00C12Q1/6886
CPCC12Q1/6886
Inventor 魏国鹏
Owner NANJING GEZHI GEMONICS CO LTD
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