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Overexpression of REC8 induces aberrant gamete meiotic division and contributes to AML pathogenesis - a multiplexed microarray analysis and mendelian randomization study.
Hua, Wenxi; Qi, Jiaqian; Zhou, Meng; Han, Shiyu; Xu, Xiaoyan; Su, Jinwen; Pan, Tingting; Wu, Depei; Han, Yue.
Afiliação
  • Hua W; National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
  • Qi J; Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China.
  • Zhou M; National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
  • Han S; Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China.
  • Xu X; Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, Suzhou, China.
  • Su J; National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
  • Pan T; Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China.
  • Wu D; Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, Suzhou, China.
  • Han Y; National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Ann Hematol ; 2024 Jul 16.
Article em En | MEDLINE | ID: mdl-39012516
ABSTRACT
Acute myeloid leukemia (AML) is a notably lethal disease, characterized by malignant clonal proliferation of hematopoietic stem cells in the bone marrow. This study seeks to unveil potential therapeutic targets for AML, using a combined approach of microarray analysis and Mendelian randomization (MR). We collected data samples from the Gene Expression Omnibus (GEO) database and extracted pQTL data from genome-wide association studies (GWAS) to identify overlapping genes between the DEGs and GWAS data. Gene enrichment and pathway annotation analyses were performed on these genes. Furthermore, we validated gene expression levels and assessed their clinical relevance. By taking the intersection of these gene sets, we obtained a list of co-expressed genes, including four upregulated genes (REC8, TPM2, ZMIZ1, CD82) and two downregulated genes (IFNAR1, TMCO3). MR analysis demonstrated that genetically predicted protein levels of CD82, REC8, ZMIZ1, and TPM2 were significantly associated with increased odds of AML, while IFNAR1 and TMCO3 showed a protective effect. Gene ontology and KEGG pathway analyses revealed significant enrichment in functions related to female gamete generation, meiosis, p53 signaling pathway, and cardiac muscle contraction. Differences in immune cell profiles were observed between AML survivors and those with poor prognosis, including lower levels of neutrophils and higher levels of follicular helper T cells in the latter group. This study identifies a causal relationship between gene expression and AML and highlights the potential role of REC8 in leukemogenesis, possibly through its impact on gametocyte meiotic abnormalities. The findings provide new insights into the prevention and treatment of leukemia.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article