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Use of the assembly inhibitor protein pfn2 in the preparation of diagnostic reagents for esophageal cancer

A PFN2 and inhibitory protein technology, applied in the field of biology, can solve the problems of different evaluation criteria and few molecular targets, and achieve rapid prediction methods and remarkable technological progress

Inactive Publication Date: 2017-03-15
SHIHEZI UNIVERSITY
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Problems solved by technology

[0005] In view of the above-mentioned technical problems in the prior art, the present invention provides a use of the assembly inhibitor protein PFN2 in the preparation of diagnostic reagents for esophageal cancer, which solves the problem of diagnosis and prognosis information of esophageal cancer patients in the prior art. Very few molecular targets, technical issues with different criteria

Method used

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  • Use of the assembly inhibitor protein pfn2 in the preparation of diagnostic reagents for esophageal cancer
  • Use of the assembly inhibitor protein pfn2 in the preparation of diagnostic reagents for esophageal cancer
  • Use of the assembly inhibitor protein pfn2 in the preparation of diagnostic reagents for esophageal cancer

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Embodiment 1

[0031] A method for assisting the diagnosis and prognosis evaluation of Xinjiang Kazak and Han patients with esophageal cancer through the positive expression of esophageal cancer immunological index PFN2, which specifically includes the following steps:

[0032] (1) 638 surgically resected esophageal cancer tissue specimens were paraffin-embedded to make 638 esophageal cancer tissue wax blocks;

[0033] (2) Determine the tissue type according to HE staining, select tumor tissue to make a tissue microarray; observe the above tissue microarray under an Olympus optical microscope, select the central position of the tumor to take pictures, and observe at 40, 100 and 200 times respectively, you can see It is found that PFN2 is positively expressed in the center of some tumors, and the expression level is relatively high, as shown in image 3 Shown; PFN2 is positively expressed in precancerous lesion tissues, and the expression level is relatively high, as shown in figure 2 As sh...

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Abstract

The invention provides an application of profilin PFN2 in preparation of a reagent for diagnosing and / or prognostically evaluating an esophagus cancer patient. The immune score is performed through PFN2 positive cell number, and then the relation of diagnosis and prognosis of the patient is determined through the PFN2 positive expression quantity, and the relation is used for the diagnosis and prognostic evaluation of esophagus cancer patients in Kazak and Han nationality in Sinkiang. Through the adoption of the application, the current situation that the measurement for diagnosing and prognostically evaluating the esophagus cancer patient is absent is solved, and an accurate and fast prediction method is provided.

Description

technical field [0001] The invention belongs to the field of biology, and in particular relates to an assembly inhibiting protein, in particular to the use of an assembly inhibiting protein PFN2 in preparing diagnostic reagents for esophageal cancer. Background technique [0002] Esophageal cancer is one of the common malignant tumors in my country. A large number of studies have proved that TNM staging is the main factor affecting the survival and prognosis of esophageal cancer, regardless of surgery-based treatment or radiotherapy-based treatment. However, it is often seen that the prognosis of patients with the same stage of esophageal cancer is significantly different in clinical practice. Therefore, we infer that there must be prognostic factors other than TNM stage. In order to more accurately diagnose and evaluate the prognosis of patients with esophageal cancer, so as to optimize individualized treatment, searching for molecular markers related to diagnosis and progn...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N33/68G01N33/574
CPCG01N33/57407G01N33/68
Inventor 崔晓宾张树茂陈云昭李锋
Owner SHIHEZI UNIVERSITY
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