The prognosis biomarkers based on m6A-related lncRNAs for myeloid leukemia patients

Abstract Background Chronic myeloid leukemia (CML) and acute myeloid leukemia (AML) are two common malignant disorders in leukemia. Although potent drugs are emerging, CML and AML may still relapse after the drug treatment is stopped. N6-methyladenosine (m6A) and lncRNAs play certain roles in the oc...

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Main Authors: Li-Rong Yang, Zhu-Ying Lin, Qing-Gang Hao, Tian-Tian Li, Yun Zhu, Zhao-Wei Teng, Jun Zhang
Format: Article
Language:English
Published: BMC 2022-01-01
Series:Cancer Cell International
Subjects:
Online Access:https://doi.org/10.1186/s12935-021-02428-3
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author Li-Rong Yang
Zhu-Ying Lin
Qing-Gang Hao
Tian-Tian Li
Yun Zhu
Zhao-Wei Teng
Jun Zhang
author_facet Li-Rong Yang
Zhu-Ying Lin
Qing-Gang Hao
Tian-Tian Li
Yun Zhu
Zhao-Wei Teng
Jun Zhang
author_sort Li-Rong Yang
collection DOAJ
description Abstract Background Chronic myeloid leukemia (CML) and acute myeloid leukemia (AML) are two common malignant disorders in leukemia. Although potent drugs are emerging, CML and AML may still relapse after the drug treatment is stopped. N6-methyladenosine (m6A) and lncRNAs play certain roles in the occurrence and development of tumors, but m6A-modified LncRNAs in ML remain to be further investigated. Methods In this study, we extracted and analyzed the TCGA gene expression profile of 151 ML patients and the clinical data. On this basis, we then evaluated the immune infiltration capacity of ML and LASSO-penalized Cox analysis was applied to construct the prognostic model based on m6A related lncRNAs to verify the prognostic risk in clinical features of ML. Quantitative reverse transcription PCR was used to detect the expression level of LncRNA in in ML cell lines K562, MOLM13 and acute monocytic leukemia cell line THP-1. Results We found 70 m6A-related lncRNAs that were related to prognosis, and speculated that the content of stromal cells and immune cells would correlate with the survival of patients with ML. Next, Prognostic risk model of m6A-related lncRNAs was validated to have excellent consistency in clinical features of ML. Finally, we verified the expression levels of CRNDE, CHROMR and NARF-IT1 in ML cell lines K562, MOLM13 and acute monocytic leukemia cell line THP-1, which were significant. Conclusions The research provides clues for the prognosis prediction of ML patients by using the m6A-related lncRNAs model we have created, and clarifies the accuracy and authenticity of it.
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spelling doaj.art-20d4be6a743d42e2a337877b4f1ef3ce2022-12-21T19:49:48ZengBMCCancer Cell International1475-28672022-01-0122111210.1186/s12935-021-02428-3The prognosis biomarkers based on m6A-related lncRNAs for myeloid leukemia patientsLi-Rong Yang0Zhu-Ying Lin1Qing-Gang Hao2Tian-Tian Li3Yun Zhu4Zhao-Wei Teng5Jun Zhang6Department of Oncology, The Third People’s Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong UniversityKunming Medical UniversityCenter for Life Sciences, School of Life Sciences, Yunnan UniversityKunming Medical UniversityThe Sixth Affiliated Hospital of Kunming Medical University, The People’s Hospital of Yuxi CityYunnan Key Laboratory of Digital Orthopedics, Department of Orthopedic, The First People’s Hospital of Yunnan ProvinceDepartment of Oncology, The Third People’s Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong UniversityAbstract Background Chronic myeloid leukemia (CML) and acute myeloid leukemia (AML) are two common malignant disorders in leukemia. Although potent drugs are emerging, CML and AML may still relapse after the drug treatment is stopped. N6-methyladenosine (m6A) and lncRNAs play certain roles in the occurrence and development of tumors, but m6A-modified LncRNAs in ML remain to be further investigated. Methods In this study, we extracted and analyzed the TCGA gene expression profile of 151 ML patients and the clinical data. On this basis, we then evaluated the immune infiltration capacity of ML and LASSO-penalized Cox analysis was applied to construct the prognostic model based on m6A related lncRNAs to verify the prognostic risk in clinical features of ML. Quantitative reverse transcription PCR was used to detect the expression level of LncRNA in in ML cell lines K562, MOLM13 and acute monocytic leukemia cell line THP-1. Results We found 70 m6A-related lncRNAs that were related to prognosis, and speculated that the content of stromal cells and immune cells would correlate with the survival of patients with ML. Next, Prognostic risk model of m6A-related lncRNAs was validated to have excellent consistency in clinical features of ML. Finally, we verified the expression levels of CRNDE, CHROMR and NARF-IT1 in ML cell lines K562, MOLM13 and acute monocytic leukemia cell line THP-1, which were significant. Conclusions The research provides clues for the prognosis prediction of ML patients by using the m6A-related lncRNAs model we have created, and clarifies the accuracy and authenticity of it.https://doi.org/10.1186/s12935-021-02428-3m6Am6A-related lncRNAsCRNDECHROMRNARF-IT1Myeloid leukemia
spellingShingle Li-Rong Yang
Zhu-Ying Lin
Qing-Gang Hao
Tian-Tian Li
Yun Zhu
Zhao-Wei Teng
Jun Zhang
The prognosis biomarkers based on m6A-related lncRNAs for myeloid leukemia patients
Cancer Cell International
m6A
m6A-related lncRNAs
CRNDE
CHROMR
NARF-IT1
Myeloid leukemia
title The prognosis biomarkers based on m6A-related lncRNAs for myeloid leukemia patients
title_full The prognosis biomarkers based on m6A-related lncRNAs for myeloid leukemia patients
title_fullStr The prognosis biomarkers based on m6A-related lncRNAs for myeloid leukemia patients
title_full_unstemmed The prognosis biomarkers based on m6A-related lncRNAs for myeloid leukemia patients
title_short The prognosis biomarkers based on m6A-related lncRNAs for myeloid leukemia patients
title_sort prognosis biomarkers based on m6a related lncrnas for myeloid leukemia patients
topic m6A
m6A-related lncRNAs
CRNDE
CHROMR
NARF-IT1
Myeloid leukemia
url https://doi.org/10.1186/s12935-021-02428-3
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