Background: Acute myeloid leukemia (AML) is a common hematopoietic tumor with extremely high morbidity and mortality. This study was designed to explore candidate genes that were related to the poor prognosis of AML patients and analyze their relationship with drug sensitivity. Methods: Microarray databases were performed to screen the differentially expressed genes (DEGs). DAVID 6.8 was used for further functional enrichment analysis. The protein-protein interaction (PPI) network was constructed through STRING website and Cytoscape tool. Then, we analyzed and explored the mRNA transcription level, prognosis correlation, and drug sensitivity of the candidate genes in AML via multiple acknowledged databases including the GEPIA, BloodSpot, EMBL-EBI, UALCAN, LinkedOmics, and GSCALite databases. Results: A total of 181 up-regulated DEGs were screened. Three candidate genes (MAP2K3, LST1, and CYTH4) related to poor outcomes of AML patients were identified. Meanwhile, the high expression levels of the three genes were verified in AML patients and AML cell lines, the expression differences of three genes at AML different subtypes were demonstrated. Drug sensitivity analysis displayed the expression levels of MAP2K3, LST1, and CYTH4 were negatively related to drug resistance, indicating that the three genes were sensitive to certain small-molecule drugs (including targeted drugs and non-targeted drugs). Conclusion: In summary, MAP2K3, LST1, and CYTH4 may be potential prognostic indicators for AML, and may be associated with the sensitivity of certain small molecule drugs.
| Published in | Cancer Research Journal (Volume 9, Issue 4) |
| DOI | 10.11648/j.crj.20210904.11 |
| Page(s) | 176-190 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Acute Myeloid Leukemia (AML), Candidate Gene, Bioinformatics, Prognosis, Drug Sensitivity
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APA Style
Fenling Zhou, Yuli Cao, Daxia Cai, Jiajian Liang, Cuilan Deng, et al. (2021). Identification of Three Candidate Genes and Their Correlation with Drug Sensitivity in Acute Myeloid Leukemia. Cancer Research Journal, 9(4), 176-190. https://doi.org/10.11648/j.crj.20210904.11
ACS Style
Fenling Zhou; Yuli Cao; Daxia Cai; Jiajian Liang; Cuilan Deng, et al. Identification of Three Candidate Genes and Their Correlation with Drug Sensitivity in Acute Myeloid Leukemia. Cancer Res. J. 2021, 9(4), 176-190. doi: 10.11648/j.crj.20210904.11
AMA Style
Fenling Zhou, Yuli Cao, Daxia Cai, Jiajian Liang, Cuilan Deng, et al. Identification of Three Candidate Genes and Their Correlation with Drug Sensitivity in Acute Myeloid Leukemia. Cancer Res J. 2021;9(4):176-190. doi: 10.11648/j.crj.20210904.11
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Download@article{10.11648/j.crj.20210904.11,
author = {Fenling Zhou and Yuli Cao and Daxia Cai and Jiajian Liang and Cuilan Deng and Gexiu Liu and Dongmei He},
title = {Identification of Three Candidate Genes and Their Correlation with Drug Sensitivity in Acute Myeloid Leukemia},
journal = {Cancer Research Journal},
volume = {9},
number = {4},
pages = {176-190},
doi = {10.11648/j.crj.20210904.11},
url = {https://doi.org/10.11648/j.crj.20210904.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.crj.20210904.11},
abstract = {Background: Acute myeloid leukemia (AML) is a common hematopoietic tumor with extremely high morbidity and mortality. This study was designed to explore candidate genes that were related to the poor prognosis of AML patients and analyze their relationship with drug sensitivity. Methods: Microarray databases were performed to screen the differentially expressed genes (DEGs). DAVID 6.8 was used for further functional enrichment analysis. The protein-protein interaction (PPI) network was constructed through STRING website and Cytoscape tool. Then, we analyzed and explored the mRNA transcription level, prognosis correlation, and drug sensitivity of the candidate genes in AML via multiple acknowledged databases including the GEPIA, BloodSpot, EMBL-EBI, UALCAN, LinkedOmics, and GSCALite databases. Results: A total of 181 up-regulated DEGs were screened. Three candidate genes (MAP2K3, LST1, and CYTH4) related to poor outcomes of AML patients were identified. Meanwhile, the high expression levels of the three genes were verified in AML patients and AML cell lines, the expression differences of three genes at AML different subtypes were demonstrated. Drug sensitivity analysis displayed the expression levels of MAP2K3, LST1, and CYTH4 were negatively related to drug resistance, indicating that the three genes were sensitive to certain small-molecule drugs (including targeted drugs and non-targeted drugs). Conclusion: In summary, MAP2K3, LST1, and CYTH4 may be potential prognostic indicators for AML, and may be associated with the sensitivity of certain small molecule drugs.},
year = {2021}
}
TY - JOUR T1 - Identification of Three Candidate Genes and Their Correlation with Drug Sensitivity in Acute Myeloid Leukemia AU - Fenling Zhou AU - Yuli Cao AU - Daxia Cai AU - Jiajian Liang AU - Cuilan Deng AU - Gexiu Liu AU - Dongmei He Y1 - 2021/12/24 PY - 2021 N1 - https://doi.org/10.11648/j.crj.20210904.11 DO - 10.11648/j.crj.20210904.11 T2 - Cancer Research Journal JF - Cancer Research Journal JO - Cancer Research Journal SP - 176 EP - 190 PB - Science Publishing Group SN - 2330-8214 UR - https://doi.org/10.11648/j.crj.20210904.11 AB - Background: Acute myeloid leukemia (AML) is a common hematopoietic tumor with extremely high morbidity and mortality. This study was designed to explore candidate genes that were related to the poor prognosis of AML patients and analyze their relationship with drug sensitivity. Methods: Microarray databases were performed to screen the differentially expressed genes (DEGs). DAVID 6.8 was used for further functional enrichment analysis. The protein-protein interaction (PPI) network was constructed through STRING website and Cytoscape tool. Then, we analyzed and explored the mRNA transcription level, prognosis correlation, and drug sensitivity of the candidate genes in AML via multiple acknowledged databases including the GEPIA, BloodSpot, EMBL-EBI, UALCAN, LinkedOmics, and GSCALite databases. Results: A total of 181 up-regulated DEGs were screened. Three candidate genes (MAP2K3, LST1, and CYTH4) related to poor outcomes of AML patients were identified. Meanwhile, the high expression levels of the three genes were verified in AML patients and AML cell lines, the expression differences of three genes at AML different subtypes were demonstrated. Drug sensitivity analysis displayed the expression levels of MAP2K3, LST1, and CYTH4 were negatively related to drug resistance, indicating that the three genes were sensitive to certain small-molecule drugs (including targeted drugs and non-targeted drugs). Conclusion: In summary, MAP2K3, LST1, and CYTH4 may be potential prognostic indicators for AML, and may be associated with the sensitivity of certain small molecule drugs. VL - 9 IS - 4 ER -
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