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Assessment gene set, kit and system for predicting leukemia prognosis and application

A leukaemia and gene set technology, applied in the field of tumor molecular biology, can solve the problems of frequent recurrence, poor prognosis, and disparity

Pending Publication Date: 2022-04-12
GUANGDONG GENERAL HOSPITAL
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  • Abstract
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Problems solved by technology

[0002] Acute myeloid leukemia (AML) is an aggressive malignancy that occurs in the bone marrow and is characterized by abnormal accumulation of myeloid precursors; as the deadliest form of acute leukemia, the 5-year survival rate of AML patients is only 28.3% , most cases relapse frequently after remission, leading to poor prognosis
[0003] Existing studies have shown that molecular genetic abnormalities in AML are significantly associated with prognosis, which provides potential targets for AML treatment selection and risk stratification systems; despite progress in the exploration of biomarkers in AML patients, due to the clinical process patients belonging to the same group may also exhibit different diagnostic and prognostic effects

Method used

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  • Assessment gene set, kit and system for predicting leukemia prognosis and application
  • Assessment gene set, kit and system for predicting leukemia prognosis and application
  • Assessment gene set, kit and system for predicting leukemia prognosis and application

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Experimental program
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Embodiment 1

[0050] data collection

[0051] The RNA sequencing (RNA-seq) data and corresponding clinical data of 151 AML patients were downloaded from the TCGA database (https: / / portal.gdc.cancer.gov / ) as a training set.

[0052] 104 AML samples were downloaded from the GEO database (https: / / www.ncbi.nlm.nih.gov / gds / ) as validation set 1.

[0053] 155 AML samples were downloaded from the TARGET database (https: / / ocg.cancer.gov / programs / target) as the validation set 2.

[0054] Gene expression profiles were normalized using the 'limma' R package.

[0055] At the same time, 261 ferroptosis-related genes (FRGs) were collected from FerDb (http: / / www.zhounan.org / ferrdb) combined with known data.

[0056] Consensus cluster analysis based on ferroptosis-related genes

[0057] First, AML classification regarding ferroptosis-associated gene sets as figure 2 As shown, the inventors extracted the RNA-seq data and corresponding clinical information (n=151) of AML patients from the TCGA datab...

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Abstract

The invention relates to an evaluation gene set, a kit, a system and application for predicting the prognosis of an acute myeloid leukemia patient, the evaluation gene set in the evaluation gene set for predicting the prognosis of the acute myeloid leukemia patient is a differential expression gene set based on ferroptosis related clustering, and the evaluation gene set comprises 18 genes including ZNF560, ZSCAN4, LHX6, TWIST1, FOXL1, ZFPM2, HMX2, ASTN1, DLL3, PCDHB12, PRINS, TMEM56, HRASLS, FAM155B, CCL23, LGALS1, EFNB3 and MXRA5. The kit can be more reliably applied to clinical practice, and a new method for disease diagnosis and prognosis is provided for patients with acute myeloid leukemia.

Description

technical field [0001] The invention belongs to the technical field of tumor molecular biology, and specifically relates to an evaluation gene set, kit, system and application for predicting the prognosis of patients with acute myeloid leukemia. Background technique [0002] Acute myeloid leukemia (AML) is an aggressive malignancy that occurs in the bone marrow and is characterized by abnormal accumulation of myeloid precursors; as the deadliest form of acute leukemia, the 5-year survival rate of AML patients is only 28.3% , Most cases still relapse frequently after remission, resulting in poor prognosis. [0003] Existing studies have shown that molecular genetic abnormalities in AML are significantly associated with prognosis, which provides potential targets for AML treatment selection and risk stratification systems; despite progress in the exploration of biomarkers in AML patients, due to the clinical process Patients belonging to the same group may also exhibit differ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12N15/11C12Q1/6886G16B25/10G16H50/30
Inventor 王惊华翁建宇王延军杨硕赖沛龙王玉连耿素霞
Owner GUANGDONG GENERAL HOSPITAL
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