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Method and kit for lymphoma prognosis judgment, and application of kit
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A prognostic judgment, lymphoma technology, applied in data processing applications, instruments, genomics, etc., can solve the problems of loss of tumor suppressor genes, poor prognosis of patients, and low detection ratio, so as to reduce adverse effects and save treatment. cost, reducing the effect of overtreatment
Active Publication Date: 2020-08-25
RUIJIN HOSPITAL AFFILIATED TO SHANGHAI JIAO TONG UNIV SCHOOL OF MEDICINE +1
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In 2018, R. Schmitz and B. Chapuy respectively conducted a global multi-center clinical study on the molecular pathology of DLBCL, studied hundreds of related genes in hundreds of patients, and identified 4 genes based on the characteristics of gene changes. The molecular subtypes of DLBCL class and class 5 not only explained the pathogenic process of DLBCL from the perspective of molecular biology, but also found that changes in some driver genes may be related to the prognosis of DLBCL, such as: CD79A / B, CARD11, TNFAIP3 activate BCR -NF-KB signaling pathway, mutations in TP53 and PTEN make tumor suppressor genes lose their tumor suppressor effect, which will accelerate the progression of the disease, and patients with such mutations often have a poor prognosis
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Embodiment 1
[0090] A kit for judging the prognosis of lymphoma, including the following components: component A, component B, component C, and component D;
[0091] Component A is a kit for library preparation and hybrid capture of lymphoma prognosis-related genes. Lymphoma prognosis-related genes include: CD79B gene, CREBBP gene, EP300 gene, KMT2C gene, KMT2D gene, MYD88 gene, SOCS1 gene, CD70 gene, GNA13 gene, NOTCH1 gene, TNFAIP3 gene, BTG1 gene, BTG2 gene, STAT3 gene, PIM1 gene, DTX1 gene and TP53 gene. Component A can specifically use IDT's library preparation reagents, hybridization reagents, and hybridization purification reagents. The library preparation reagents include end repair and polyA buffer, end repair and polyA enzyme solution, ligation buffer, DNA ligase solution, and UDI adapters. , 2X HiFi PCR buffer, amplification primer mixture, process water, TE mixture, purified magnetic beads, hybridization reagents include 2X hybridization buffer, hybridization enhancement buffer, u...
Embodiment 2
[0108] 1. Patient selection
[0109] 1. Experimental group: Select 100 patients who have performed whole genome / whole exome / targeted sequencing and obtained mutation information as the experimental group.
[0110] 2. Validation group: Retrospectively select 40 patients with newly diagnosed diffuse large B-cell lymphoma who were treated in Shanghai Ruijin Hospital and used the R-CHOP standard measurement protocol as the validation group.
[0114] 1. The IPI international prognostic index and each gene mutation are calculated by logistic regression, and the factor with the largest P-value is gradually removed.
[0115] 2. The modeling results are shown in Table 2:
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Abstract
The invention relates to the field of genemutation detection, particularly to a method and a kit for lymphoma prognosis judgment, and application of the kit. According to the invention, the prognostic risk value of IPI typing of a middle-high risk patient is calculated through data analysis to assist in distinguishing high-risk and low-risk people, so that potential relapse-free patients with uncertain IPI types can be effectively distinguished, excessive treatment of the patients is reduced, adverse effects of the patients are reduced, treatment cost is saved, and living conditions of the patients can be improved.
Description
Technical field [0001] The invention relates to the field of genemutation detection, in particular to a method, kit and application for prognostic judgment of lymphoma. Background technique [0002] Lymphoma is the hematological malignant tumor with the highest incidence in my country, and it has the characteristics of diverse types and complex types. It ranks among the top ten in the statistics of cancer incidence in my country. As a highly heterogeneous disease, the traditional classification of lymphoma mainly relies on pathological morphology, cytogenetics and single genemutation detection methods to determine the source of lymphoma cells and the degree of malignancy. In the current understanding of lymphoma and multi-parameter classification methods, it can be roughly divided into two categories: Hodgkin's Lymphoma (HL) and Non-Hodgkin's Lymphoma (NHL) The latter can be further divided into different categories such as B-cell non-Hodgkin’s lymphoma or T-cell non-Hodgkin’...
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IPC IPC(8): G16B20/50G16B20/30G06Q10/06
CPCG16B20/50G16B20/30G06Q10/06393
Inventor 赵维莅许彭鹏付迪王黎俞浩刘以哲熊慧
Owner RUIJIN HOSPITAL AFFILIATED TO SHANGHAI JIAO TONG UNIV SCHOOL OF MEDICINE
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