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Marker and model construction method and system for prognosis prediction of colon cancer

A technology of colon cancer and markers, applied in the field of biomedicine, can solve the problem of few reports on the prognosis risk assessment of colon cancer patients, and achieve high prognosis prediction accuracy

Active Publication Date: 2022-08-05
臻和(北京)生物科技有限公司 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are still few reports on the use of quantitative indicators of TLS to assess the prognosis and risk of colon cancer patients.

Method used

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  • Marker and model construction method and system for prognosis prediction of colon cancer
  • Marker and model construction method and system for prognosis prediction of colon cancer
  • Marker and model construction method and system for prognosis prediction of colon cancer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0139] Example 1 Acquisition and screening of TLS-related indicators

[0140] 1. Case selection

[0141] In this example, a total of 103 surgically resected pathological tissue samples from colon cancer patients were included, and the detailed clinicopathological information of these patients was collected, such as: TNM stage, preoperative CEA and CA19.9 levels, tumor location, nerve invasion, lymphovascular invasion, and prognosis of tumor recurrence or metastasis, as shown in Table 2.

[0142] Table 2 Clinicopathological information of 103 patients with colon cancer

[0143]

[0144] 2. Preparation of tissue sections

[0145] (1) Take fresh colon cancer tissue specimens, including tumors, infiltrating margins, and tissues adjacent to normal tissues. The blocks longitudinally cover the mucosa, submucosa, muscle layer, serosa, and adipose tissue around the intestinal wall. Soak it in 10% neutral buffered formalin for 24-48 hours to fix it, and place it in the embedding b...

Embodiment 2

[0161] Example 2 Construction of colon cancer prognostic risk model based on TLS-related indicators

[0162] A total of 171 surgically resected pathological tissue samples from colon cancer patients were included in this example, and the detailed clinicopathological information of these patients was collected, such as: TNM stage, preoperative CEA and CA19.9 levels, tumor location, nerve invasion, lymphovascular invasion, and prognosis of tumor recurrence or metastasis. The clinical follow-up time of patients ranged from 10 months to 50.1 months, with a mean follow-up time of 32.3 months. Based on the TLS indexes related to the TLS-N and TLS-F regions screened and determined in Example 1, a multivariate regression analysis was used to construct a colon cancer prognosis risk model, and the specific methods were as follows:

[0163] 1. Lasso regression analysis to build colon cancer prognostic risk model

[0164] 171 patients were randomly divided into model training cohort and...

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Abstract

The invention relates to the technical field of biological medicine, in particular to a marker for prognosis prediction of colon cancer, and a model construction method and system. According to the TLS-related quantitative index for prognosis prediction of the colon cancer patient, the TLS-related quantitative index is used as a marker for prognosis prediction of the colon cancer, the immune state of the patient can be reflected more accurately and objectively, and higher prognosis prediction accuracy is achieved. The invention further provides a colon cancer prognosis risk model and a construction method thereof, the model can carry out prognosis prediction independent of TNM staging, prognosis risk layering can be better carried out on colon cancer patients compared with TNM staging, more targeted treatment schemes can be made for patients with different prognosis clinically, and precise medical treatment can be achieved.

Description

technical field [0001] The present invention relates to the technical field of biomedicine, in particular to a marker, a model construction method and a system for predicting the prognosis of colon cancer. Background technique [0002] Colon cancer is one of the most common malignant tumors in the world, and its incidence and mortality ranks among the top three among all malignant tumors. The overall survival rate of colon cancer patients depends on the TNM staging of the tumor. TNM is a form of tumor staging in oncology. It is mainly determined according to the tumor infiltration, the number of lymph nodes and whether it has metastasized to other parts. The higher the degree of tumor progression, the worse the prognosis. According to the American Joint Committee on Cancer, the 5-year survival rates of patients with stage I, II, III and IV colon cancer were 93.2%, 82.5%, 59.5% and 8.1%, respectively. However, in clinical practice, there are often significant differences in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B5/00G16H50/30G16H50/50G01N1/28G01N1/30G01N33/483
CPCG16B5/00G16H50/30G16H50/50G01N1/286G01N1/30G01N33/4833G01N2001/2873
Inventor 白雪娟陈维之杨滢邓丽莎
Owner 臻和(北京)生物科技有限公司
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