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Application of ferroptosis-related genes in prognostic assessment of diffuse large B-cell lymphoma

A prognostic assessment, lymphoma technology, applied in the field of disease prognosis and molecular biology, to achieve a good predictive effect

Active Publication Date: 2022-06-28
SHANDONG PROVINCIAL HOSPITAL AFFILIATED TO SHANDONG FIRST MEDICAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, so far, there are few reports based on ferroptosis-related genes in DLBCL prognosis prediction

Method used

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  • Application of ferroptosis-related genes in prognostic assessment of diffuse large B-cell lymphoma
  • Application of ferroptosis-related genes in prognostic assessment of diffuse large B-cell lymphoma
  • Application of ferroptosis-related genes in prognostic assessment of diffuse large B-cell lymphoma

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Experimental program
Comparison scheme
Effect test

Embodiment

[0063] Materials and methods

[0064] The flow chart of this study is as follows figure 1 shown.

[0065] Study population and data collection

[0066] Published data on DLBCL can be downloaded from the GEO database (http: / / www.NCBI.NLM.NIH.gov / GEO), (GSE87371 / GPL570, GSE10846 / GPL570 and GSE4475 / GPL96). Patient inclusion criteria included: (a) histological diagnosis of DLBCL (b) complete gene expression data; (c) complete survival information. Table 1 summarizes the baseline characteristics of patients in these three cohorts. 221 patients from the GSE87371 dataset were used as the training cohort, and 388 and 159 patients from the GSE10846 and GSE4475 datasets, respectively, were used as the validation cohort.

[0067] Table 1 Clinical characteristics of DLBCL patients in this study

[0068]

[0069]

[0070] Generation of FRG

[0071] The FRG was downloaded from the FerDB website (http: / / www.Zhounan.org / FerDB / ). The list of FRGs was supplemented with the followin...

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Abstract

The invention provides the application of ferroptosis-related genes in the prognosis evaluation of diffuse large B-cell lymphoma, and belongs to the technical field of disease prognosis and molecular biology. The present invention constructs a diffuse large B-cell lymphoma prognostic model based on ferroptosis-related genes, thereby predicting and evaluating the prognosis of diffuse large B-cell lymphoma. Experiments have proved that the prognostic model is significantly related to the OS of DLBCL patients, and DLBCL with high risk value The OS of patients is significantly shorter than that of patients with low risk values, and the possibility of death is also greater, so it has a good predictive effect, which can be used to predict the prognosis of diffuse large B-cell lymphoma and to assist clinical decision-making, and has good practical application value.

Description

technical field [0001] The invention belongs to the technical field of disease prognosis and molecular biology, and particularly relates to the application of ferroptosis-related genes in the prognosis evaluation of diffuse large B-cell lymphoma. Background technique [0002] The information disclosed in this Background section is only for enhancement of understanding of the general background of the invention and should not necessarily be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person of ordinary skill in the art. [0003] Diffuse large B-cell lymphoma (DLBCL) is a malignant and aggressive tumor derived from B-lineage lymphocytes, accounting for 30–40% of non-Hodgkin lymphomas. DLBCL is a highly heterogeneous lymphoid tumor with variations in gene expression profiles and altered genetic information. Currently, R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone) is the most...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C12Q1/6886G16B5/00
CPCC12Q1/6886G16B5/00C12Q2600/118C12Q2600/158
Inventor 周香香王欣胡顺凤余卓雅
Owner SHANDONG PROVINCIAL HOSPITAL AFFILIATED TO SHANDONG FIRST MEDICAL UNIVERSITY
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