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Molecular typing of diffuse gastric cancer and protein markers for typing and screening method and application thereof

A technology of protein markers and molecular typing, applied in the direction of material separation, analysis of materials, measurement devices, etc., can solve the problem of no further research on subtypes

Pending Publication Date: 2018-08-24
北京谷海天目生物医学科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is no technology for molecular typing of gastric cancer using proteomic technology, and there is no way to further study the subtype of diffuse gastric cancer in gastric cancer classification

Method used

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  • Molecular typing of diffuse gastric cancer and protein markers for typing and screening method and application thereof
  • Molecular typing of diffuse gastric cancer and protein markers for typing and screening method and application thereof
  • Molecular typing of diffuse gastric cancer and protein markers for typing and screening method and application thereof

Examples

Experimental program
Comparison scheme
Effect test

preparation example Construction

[0083] 2. Preparation of gastric cancer protein samples

[0084] In the present invention, "sample" specifically refers to collected tissue samples, and those used for detection are called "sample".

[0085] 1. Weigh the empty EP tube and mark it. Each pair of cancer tissue (Tumor, T) and paired adjacent normal tissue (Nearby tissue, N) samples were guaranteed to be processed in parallel at the same time. After the tissue samples were taken out from -80°C, they were first weighed in EP tubes, checked and recorded, and buried in ice boxes. Add about 5 times the volume of 8M Urea protein lysate into the EP tube, add PMSF at the same time, use a disposable grinding rod to crush, and then perform ultrasonic lysis for one minute (3 seconds start, 3 seconds interval, amplitude 25%), and then placed in Lyse on ice for 15 minutes with occasional bouncing.

[0086] 2. Centrifuge the lysate at 14,000 g at 15°C for 10 minutes, pipette the supernatant into a new EP tube, and record t...

Embodiment 1

[0143] This example illustrates the process of establishing a proteome expression profile data set of gastric cancer patients and adjacent cancers. The process of building a dataset includes:

[0144] 1. Collection of gastric cancer samples: select cancer and paracancerous tissues from patients with diffuse gastric cancer who did not receive neoadjuvant radiotherapy and chemotherapy before surgery. It is required that the tumor cell content exceeds 50% and there are no tumor cells in the paracancerous tissues. The collected cancer tissues and paracancerous tissues are collectively referred to as gastric cancer samples.

[0145] 2. Gastric cancer protein sample preparation.

[0146] (1) Weigh the empty EP tube and mark it. Each pair of cancer tissue (Tumor, T) and paired adjacent normal tissue (Nearby tissue, N) samples were guaranteed to be processed at the same time. After the tissue samples were taken out from -80°C, they were first weighed in EP tubes, checked and record...

Embodiment 2

[0167] This example illustrates how to use a classifier to carry out molecular typing of patients with diffuse gastric cancer.

[0168] The molecular typing process includes:

[0169] 1. Collect the protein expression profile data of diffuse gastric cancer and adjacent cancer.

[0170] 2. Screen the FOT value of protein quantification corresponding to all samples, and the quantified protein is required to contain at least two unique peptides (unique peptides), and the ion score (ion score) is greater than or equal to 20.

[0171] 3. Make the FOT value less than 10 -5 Use 10 for the value -5 replace.

[0172] 4. Obtain the log of each protein FOT 10 (T / N) value.

[0173] 5. Use the model of the composition of these 199 proteins, that is, the centroid values ​​of the 199 proteins in the three subtypes (Table 5) for prediction: calculate the rank correlation coefficient (Spearman's rank correlation), classify this sample into the subtype with the highest rank correlation co...

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Abstract

The invention provides molecular typing of diffuse gastric cancer and protein markers for typing and a screening method and application thereof, and discloses protein expression profile data of tissues of 84 cases of diffuse gastric sample cancer and tissues adjacent to the cancer, a method for typing of the gastric cancer based on the protein expression profile data and 199 protein markers for gastric cancer typing. The method can be used for typing of the diffuse gastric cancer in Lauren typing into three subtypes comprising cell cycle diffuse gastric cancer PX1, epithelial-mesenchymal transition diffuse gastric cancer PX2 and immunoenriched diffuse gastric cancer PX3. The invention provides a method for classification, diagnosis and prognosis of the gastric cancer, and lays a foundationfor prognosis of the diffuse gastric cancer and designing of targeted drugs.

Description

technical field [0001] The invention belongs to the field of medical biology, and relates to new tumor molecular typing and screening technology for biomarkers in typing, in particular to the quantitative detection of the proteome of gastric cancer tissues and matched paracancerous tissues of gastric cancer patients using proteome quantitative technology , A new subtype of diffuse gastric cancer in Lauren's classification and a method for screening protein markers related to the classification through data analysis and screening. Background technique [0002] Gastric cancer ranks third among the causes of cancer death in the world. my country is one of the areas with a high incidence of gastric cancer, and the number of new cases every year is close to half of that in the world. The currently widely used classification of gastric cancer is the Lauren classification based on morphology. [0003] Lauren's classification divides gastric cancer into intestinal type, which still...

Claims

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Application Information

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IPC IPC(8): G01N30/02G01N30/06G01N30/72
CPCG01N30/02G01N30/06G01N30/72
Inventor 秦钧丁琛刘明伟葛赛夏夏周泉冯晋文甄蓓汪宜沈琳贺福初
Owner 北京谷海天目生物医学科技有限公司
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