The prognostic signature based on glycolysis-immune related genes for acute myeloid leukemia patients

Hui Hou; Yu Wu; Junmei Guo; Wei Zhang; Runmei Wang; Hao Yang; Zhenfei Wang

doi:10.1016/j.imbio.2023.152355

The prognostic signature based on glycolysis-immune related genes for acute myeloid leukemia patients

Immunobiology. 2023 May;228(3):152355. doi: 10.1016/j.imbio.2023.152355. Epub 2023 Feb 21.

Authors

Hui Hou¹, Yu Wu², Junmei Guo³, Wei Zhang³, Runmei Wang³, Hao Yang⁴, Zhenfei Wang⁵

Affiliations

¹ Department of Pediatric Hematology and Oncology, Inner Mongolia Autonomous Region People's Hospital, Hohhot 010020, China.
² Department of Nuclear Medicine, Peking University Cancer Hospital, Inner Mongolia and Affiliated Cancer Hospital of Inner Mongolia Medical University, Huhhot 010020, Inner Mongolia Autonomous Region, China.
³ Department of Radiation Oncology, Peking University Cancer Hospital, Inner Mongolia and Affiliated Cancer Hospital of Inner Mongolia Medical University, Huhhot 010020, Inner Mongolia Autonomous Region, China; The Laboratory of Radiation Physics and Biology, Peking University Cancer Hospital, Inner Mongolia and Affiliated Cancer Hospital of Inner Mongolia Medical University, Huhhot 010020, Inner Mongolia Autonomous Region, China.
⁴ Department of Radiation Oncology, Peking University Cancer Hospital, Inner Mongolia and Affiliated Cancer Hospital of Inner Mongolia Medical University, Huhhot 010020, Inner Mongolia Autonomous Region, China; The Laboratory of Radiation Physics and Biology, Peking University Cancer Hospital, Inner Mongolia and Affiliated Cancer Hospital of Inner Mongolia Medical University, Huhhot 010020, Inner Mongolia Autonomous Region, China. Electronic address: haoyang050201@163.com.
⁵ The Laboratory for Tumor Molecular Diagnosis, Peking University Cancer Hospital, Inner Mongolia and Affiliated Cancer Hospital of Inner Mongolia Medical University, Huhhot 010020, Inner Mongolia Autonomous Region, China. Electronic address: ndwzf2013@126.com.

PMID: 36868006
DOI: 10.1016/j.imbio.2023.152355

Abstract

Acute myeloid leukemia (AML) is widely considered an immunoresponsive malignancy. However, potential association between glycolysis-immune related genes and AML patients' prognosis has been seldom studied. AML-related data was downloaded from TCGA and GEO databases. We grouped patients according to Glycolysis status, Immune Score and combination analysis, basing on which overlapped differentially expressed genes (DEGs) were identified. The Risk Score model was then established. The results showed that totally 142 overlapped genes were probably correlated with glycolysis-immunity in AML patients, among which 6 optimal genes were screened to construct Risk Score. High Risk Score was an independent poor prognostic factor for AML. In conclusion, we established a relatively reliable prognostic signature of AML based on glycolysis-immunity related genes, including METTL7B, HTR7, ITGAX, TNNI2, SIX3 and PURG.

Keywords: Acute myeloid leukemia; Glycolysis, immune signatures; Prognosis; qRT-PCR.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

CD11c Antigen
Glycolysis
Humans
Leukemia, Myeloid, Acute*
Prognosis
Risk Factors

Substances

CD11c Antigen