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Novel model for prognosis prediction and diagnosis of colorectal cancer and application thereof

A colorectal cancer and prediction model technology, applied in the field of biomedicine, to improve the evaluation and prediction ability, improve prognosis, and have broad application prospects

Active Publication Date: 2022-06-07
BEIJING EXPANDBIOTECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Studies have shown that the application of different gene molecular markers can provide early diagnosis and prognosis direction for the occurrence and development of colorectal cancer, but how to find a set of gene combinations for prognosis prediction of colorectal cancer, and an optimized mathematical model for prediction, and can achieve Good effect, few known studies

Method used

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  • Novel model for prognosis prediction and diagnosis of colorectal cancer and application thereof
  • Novel model for prognosis prediction and diagnosis of colorectal cancer and application thereof
  • Novel model for prognosis prediction and diagnosis of colorectal cancer and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0084] Example 1 Screening of colorectal cancer-related molecular markers, establishment and verification of an evaluation model for colorectal cancer prognosis prediction and diagnosis

[0085] 1. Data sources

[0086] The expression and clinical data of colon adenocarcinoma (COAD) and rectal adenocarcinoma (READ) in the TCGA database were downloaded from the GDC website (https: / / portal.gdc.cancer.gov / ) and merged into the colorectal cancer dataset TCGA- CRC, after removing normal, duplicate, and no follow-up information samples, a total of 597 samples were used for model building and survival analysis. In addition, two gene chip datasets, GSE39582 (n=562) and GSE37892 (n=130), were used as validation sets, and the expression matrix and clinical information were downloaded from the GEO database (https: / / www.ncbi.nlm.nih.gov / geo).

[0087] The genes involved in the cancer immune cycle were downloaded from the TIP website (http: / / biocc.hrbmu.edu.cn / TIP / ). A total of 178 char...

Embodiment 2

[0113] Example 2 Validation of the evaluation model for prognosis prediction and diagnosis of colorectal cancer established by the present invention in actual samples of colorectal cancer patients

[0114] 1. Experimental method

[0115] (1) TCGA dataset download

[0116] The expression data of normal samples in COAD and READ cohorts in the TCGA database were downloaded from the GDC website (https: / / portal.gdc.cancer.gov / ), a total of 51 cases were merged with 597 cancer samples, resulting in a total of 648 samples.

[0117] (2) Self-built clinical data set

[0118] A new clinical cohort was used in this study. The samples in this clinical cohort were from the Affiliated Hospital of Qingdao University. The inclusion criteria of patients were: colorectal cancer diagnosed by pathology and imaging, radical resection, complete clinical information, Such as age, gender, tumor size, location, TNM stage, etc., no history of other malignant tumors; the collected tissue samples were ...

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Abstract

The invention discloses a novel model for prognosis prediction and diagnosis of colorectal cancer and application thereof, the model comprises immune related markers CCL11, CCL19, CCL22, CCL28, CXCR5, IDO1, LAG3, TIM4, HSPA1A, HSPA8, HSPA9, NOS2 and TGF beta1, the prognosis of a subject can be accurately predicted according to the model, the model provides a reliable prognosis prediction and diagnosis marker for evaluation of a patient with colorectal cancer, and the model can be applied to the prognosis prediction and diagnosis of the patient with colorectal cancer. The evaluation and prediction capability of prognosis prediction and diagnosis of the colorectal cancer patient is improved, and the application prospect in clinic is wide.

Description

technical field [0001] The invention belongs to the field of biomedicine, and relates to a model for predicting and diagnosing disease prognosis, in particular, to a novel model for predicting and diagnosing colorectal cancer prognosis and its application. Background technique [0002] Colorectal carcinoma (CRC) is the third most common malignant tumor in the world and the second leading cause of cancer-related death, with 1 to 2 million new cases and 600,000 deaths worldwide each year, seriously threatening human beings of health. Although surgical treatment and perioperative chemotherapy regimens for colorectal cancer have greatly improved, the prognosis of colorectal cancer patients remains suboptimal. Surgical treatment is the first-line regimen, and the prognosis of patients of the same type, defined by traditional clinical characteristics, is also quite different. In recent years, studies have suggested that this is mainly caused by the molecular heterogeneity of canc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/574G01N33/68C12Q1/6886C12N15/11G16B20/30G16H50/30
CPCG01N33/57419G01N33/57484G01N33/68C12Q1/6886G16B20/30G16H50/30C12Q2600/118C12Q2600/158G01N2800/52G01N2800/54Y02A90/10
Inventor 田春城杨敏侯玉芳张日新李铁钢甘文强
Owner BEIJING EXPANDBIOTECH CO LTD
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