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System for predicting prognosis of patient with lung squamous cell carcinoma

A technique for squamous cell carcinoma of the lung, patients, applied in the field of biomedicine

Active Publication Date: 2017-02-22
BIOMEDICAL ANALYSIS CENT OF ACADEMY OF MILITARY MEDICAL SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, so far no gene expression profiling has been applied to the prediction of clinical prognosis in NSCLC

Method used

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  • System for predicting prognosis of patient with lung squamous cell carcinoma
  • System for predicting prognosis of patient with lung squamous cell carcinoma
  • System for predicting prognosis of patient with lung squamous cell carcinoma

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0055] Example 1. Discovery of squamous cell carcinoma-related protein profile, combined molecular marker model, prognosis judgment of non-small cell lung cancer, and validation of P5-ADC prognostic method for squamous cell carcinoma

[0056] 1. Discovery of squamous cell carcinoma-related protein signatures

[0057] 1.1. Cases and samples

[0058] The formalin-fixed and paraffin-embedded human normal lung tissue samples were provided by Peking University People's Hospital and Southwest Hospital tissue bank. The formalin-fixed and paraffin-embedded lung tumor tissue samples were provided by the tissue banks of the Department of Pathology, Peking University People's Hospital and the Department of Pathology, Chongqing Southwest Hospital. Providers of lung tumor tissue (ie, patients) underwent radical surgery for lung cancer at the above-mentioned hospitals from 2004 to 2010 and systematically. The present invention does not include the following cases: cases with previous mali...

Embodiment 2

[0115] Example 2. Further prognosis of squamous cell carcinoma patients with TNM grade by P5-ADC prognostic method for squamous cell carcinoma

[0116] The method for further prognosis of squamous cell carcinoma patients graded by TNM is: for squamous cell carcinoma patients of any grade graded by TNM (such as patients with stage IB squamous cell carcinoma), the expression score of P5-ADC is obtained according to the method of Example 1, Then, according to the method in step 2.1 of Example 1, the expression score is used to obtain a prognosis score; each prognosis score is determined according to the method in step 2.2 of Example 1 to determine whether the patient with squamous cell carcinoma has a good prognosis or a poor prognosis.

[0117] Integrating the samples of BJ group and CQ group to obtain total squamous cell carcinoma samples, the P5-ADC prognostic squamous cell carcinoma method can further divide each patient in the total squamous cell carcinoma sample into a poor ...

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Abstract

The invention discloses a system for predicting the prognosis of a patient with lung squamous cell carcinoma. The system includes a subsystem for detecting the expression quantity of such five proteins as EGFR, p38alpha, AKT1, SOX2 and E-cadherin and a protein expression quantity data processing system. The subsystem for detecting the expression quantity of the five proteins is allowed to measure the expression quantity of the proteins through an immunohistochemistry staining method; the protein expression quantity data processing system is allowed to convert the expression quantity of the five proteins from the squamous cell carcinoma tissues separated from the patient with the lung squamous cell carcinoma to a prognostic score; based on the prognostic score, the prognosis of a patient with the lung squamous cell carcinoma is predicted.

Description

technical field [0001] The invention relates to the field of biomedicine, in particular to a system for predicting the prognosis of patients with lung squamous cell carcinoma. Background technique [0002] Lung cancer is the most common cause of cancer-related death in the world today, and 80% of it is non-small cell lung cancer (NSCLC). The TNM staging is a generally accepted clinical staging system used to predict prognosis and guide the treatment of patients with non-small cell lung cancer. However, the current TNM staging system is far from sufficient to accurately predict the prognosis of patients with non-small cell lung cancer. For example, for lung cancer patients, even in clinical stage I, the recurrence rate of lung cancer is as high as 35-50%. In addition, a considerable number of patients can be cured by surgery alone, and these patients should be able to avoid the severe side effects of adjuvant chemotherapy based on the current TNM system. [0003] In order ...

Claims

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Application Information

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IPC IPC(8): G01N33/574
CPCG01N33/57423G01N2333/71G01N2333/912G01N33/57484
Inventor 张学敏周涛靳宝锋
Owner BIOMEDICAL ANALYSIS CENT OF ACADEMY OF MILITARY MEDICAL SCI
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