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A system for predicting the prognosis of lung squamous cell carcinoma patients

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

Active Publication Date: 2018-07-27
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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  • A system for predicting the prognosis of lung squamous cell carcinoma patients
  • A system for predicting the prognosis of lung squamous cell carcinoma patients
  • A system for predicting the prognosis of lung squamous cell carcinoma patients

Examples

Experimental program
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Embodiment 1

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

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

[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 Pathology Department of Peking University People's Hospital and the Pathology Department of Chongqing Southwest Hospital. The provider of the lung tumor tissue (ie, the patient) received radical surgery for lung cancer in the above-mentioned hospital from 2004 to 2010 and systematically. The present invention does not include the following cas...

Embodiment 2

[0115] Example 2, P5-ADC prognosis squamous cell carcinoma method for further prognosis of TNM graded squamous cell carcinoma patients

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

[0117] The samples of BJ group and CQ group are integrated to obtain the total squamous cell carcinoma samples, and the P5-ADC prognostic squamous cell carcinoma method can further divide each patient in the total squamous cell carcinoma sampl...

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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 lung squamous cell carcinoma patients. 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). TNM staging is a generally accepted clinical staging system, which is used to predict the prognosis and guide the treatment of patients with non-small cell lung cancer. However, the current TNM staging system is far from adequate to accurately predict the prognosis of NSCLC patients. 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 only by surgery, and these patients should be able to avoid the extremely strong side effects of adjuvant chemotherapy based on the current TNM system. [0003] Significant efforts hav...

Claims

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Application Information

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