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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BMC
2022-01-01
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Series: | Cancer Cell International |
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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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id | doaj.art-20d4be6a743d42e2a337877b4f1ef3ce |
institution | Directory Open Access Journal |
issn | 1475-2867 |
language | English |
last_indexed | 2024-12-20T06:42:35Z |
publishDate | 2022-01-01 |
publisher | BMC |
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series | Cancer Cell International |
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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