Osteosarcoma prognosis marker and prognosis evaluation model

A technology for osteosarcoma and prognosis, which is applied in biochemical equipment and methods, microbial determination/examination, instruments, etc., to achieve the effects of high prediction accuracy, good prognosis, and improved 5-year survival rate

Active Publication Date: 2020-12-11
SHANGHAI FIRST PEOPLES HOSPITAL
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there are no reports on the use of glycolysis-related genes ABCB6, P4HA1 and STC2 in the prognosis of osteosarcoma.

Method used

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  • Osteosarcoma prognosis marker and prognosis evaluation model
  • Osteosarcoma prognosis marker and prognosis evaluation model
  • Osteosarcoma prognosis marker and prognosis evaluation model

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] 1. Method

[0035] 1. Data collection

[0036] The mRNA expression profile data and clinical information of osteosarcoma patients were downloaded from the TARGET database as a training set, and the mRNA expression profile data and clinical information of osteosarcoma patients were downloaded from the GEO database GSE21257 as a validation set.

[0037] 2. Screening of prognostic markers

[0038] In the training set, the patients were divided into metastasis and non-transmission groups according to their clinical information. Through GSEA gene enrichment analysis, it was found that the glycolysis-related gene sets in the metastasis group were significantly enriched (Pfigure 1). Therefore, we selected 198 glycolysis-related genes in this gene set for follow-up research. By comparing the expression of genes in the transfer and non-transfer groups, using P figure 2 in A, B and C).

[0039] 3. Model establishment

[0040] Based on the linear correlation between the regress...

Embodiment 2

[0063] This embodiment provides a kit for the prognosis of osteosarcoma, which contains reagents for detecting the expression levels of ABCB6, P4HA1 and STC2 genes. The kit includes an operation manual, which is described as follows: According to routine, high-throughput sequencing methods are used to detect the tumor tissue expression levels of ABCB6, P4HA1 and STC2 genes, and then substituted into the risk score formula: risk score=(0.946×ABCB6 gene tumor tissue expression amount)+(0.413×P4HA1 gene tumor tissue expression level)+(0.435×STC2 gene tumor tissue expression level), the risk score was calculated, and the higher the risk score, it indicated: the shorter the survival period, the higher the survival rate within a certain period of time. The lower the score, the higher the risk of metastasis, the lower the immune score of the tumor microenvironment, and the higher the number of naive B cells in the tumor immune microenvironment.

Embodiment 3

[0065] This embodiment provides a kit for prognosis of osteosarcoma, the kit contains a reagent for detecting the expression of at least one gene among ABCB6, P4HA1 and STC2, specifically a gene chip for detecting the expression of the gene. The higher the expression level of the detected gene, it means: the shorter the survival period, the lower the survival rate within a certain period of time, the higher the risk of metastasis, the lower the immune score of the tumor microenvironment, and the naive tumor immune microenvironment. The higher the number of B cells.

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Abstract

The invention relates to an osteosarcoma prognosis marker and prognosis evaluation model. According to the osteosarcoma prognosis marker and prognosis evaluation model, overall survival time data of osteosarcoma patients in two independent databases of TARGET and GSE21257 are integrated, glycolysis-related genes P4HA1, ABCB6 and STC2 are screened and verified as osteosarcoma prognosis markers, anda prognostic risk assessment model is constructed based on the P4HA1, ABCB6 and STC2, and by a training set and a verification set, it is verified that the model has relatively high accuracy, and further analysis finds that the risk score of the model is also significantly related to metastasis and tumor immune microenvironment. The osteosarcoma prognosis marker and prognosis evaluation model areconducive to better predicting prognosis conditions of the osteosarcoma patients, and can bring great help for guiding clinical treatment of the osteosarcomas.

Description

technical field [0001] The present invention relates to the prognosis assessment of diseases, in particular, to the osteosarcoma prognosis marker and prognosis assessment model. Background technique [0002] Osteosarcoma is a malignant tumor primary in bone tissue that is common in children and adolescents. It is prone to recurrence and metastasis. Lung metastasis is the main cause of death in osteosarcoma patients. At present, the preferred treatment option for patients with osteosarcoma is neoadjuvant chemotherapy combined with surgery. This treatment option has greatly improved the 5-year survival rate of patients, but once the patient develops lung metastasis, the 5-year survival rate is still lower than 20%. Therefore, it is of great scientific and social significance to explore the mechanism of occurrence and metastasis of osteosarcoma at the molecular level and lay the foundation for the early diagnosis and prognosis evaluation of osteosarcoma. Finding effective prog...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886G01N33/574
CPCC12Q1/6886G01N33/57484G01N33/57407C12Q2600/118C12Q2600/158
Inventor 杨孟恺华莹奇蔡郑东
Owner SHANGHAI FIRST PEOPLES HOSPITAL
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