Predicting the influence of Circ_0059706 expression on prognosis in patients with acute myeloid leukemia using classical statistics and machine learning
Background: Various circular RNA (circRNA) molecules are abnormally expressed in acute myeloid leukemia (AML), and associated with disease occurrence and development, as well as patient prognosis. The roles of circ_0059706, a circRNA derived from ID1, in AML remain largely unclear.Results: Here, we...
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Genetics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.961142/full |
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| author | Jichun Ma Jichun Ma Jichun Ma Xiangmei Wen Xiangmei Wen Xiangmei Wen Zijun Xu Zijun Xu Zijun Xu Peihui Xia Peihui Xia Peihui Xia Ye Jin Ye Jin Ye Jin Jiang Lin Jiang Lin Jiang Lin Jun Qian Jun Qian Jun Qian |
| author_facet | Jichun Ma Jichun Ma Jichun Ma Xiangmei Wen Xiangmei Wen Xiangmei Wen Zijun Xu Zijun Xu Zijun Xu Peihui Xia Peihui Xia Peihui Xia Ye Jin Ye Jin Ye Jin Jiang Lin Jiang Lin Jiang Lin Jun Qian Jun Qian Jun Qian |
| author_sort | Jichun Ma |
| collection | DOAJ |
| description | Background: Various circular RNA (circRNA) molecules are abnormally expressed in acute myeloid leukemia (AML), and associated with disease occurrence and development, as well as patient prognosis. The roles of circ_0059706, a circRNA derived from ID1, in AML remain largely unclear.Results: Here, we reported circ_0059706 expression in de novo AML and its association with prognosis. We found that circ_0059706 expression was significantly lower in AML patients than in controls (p < 0.001). Survival analysis of patients with AML divided into two groups according to high and low circ_0059706 expression showed that overall survival (OS) of patients with high circ_0059706 expression was significantly longer than that of those with low expression (p < 0.05). Further, female patients with AML and those aged >60 years old in the high circ_0059706 expression group had longer OS than male patients and those younger than 60 years. Multiple regression analysis showed that circ_0059706 was an independent factor-affecting prognosis of all patients with AML. To evaluate the prospects for application of circ_0059706 in machine learning predictions, we developed seven types of algorithm. The gradient boosting (GB) model exhibited higher performance in prediction of 1-year prognosis and 3-year prognosis, with AUROC 0.796 and 0.847. We analyzed the importance of variables and found that circ_0059706 expression level was the first important variables among all 26 factors included in the GB algorithm, suggesting the importance of circ_0059706 in prediction model. Further, overexpression of circ_0059706 inhibited cell growth and increased apoptosis of leukemia cells in vitro.Conclusion: These results provide evidence that high expression of circ_0059706 is propitious for patient prognosis and suggest circ_0059706 as a potential new biomarker for diagnosis and prognosis evaluation in AML, with high predictive value and good prospects for application in machine learning algorithms. |
| first_indexed | 2024-04-11T08:37:59Z |
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| institution | Directory Open Access Journal |
| issn | 1664-8021 |
| language | English |
| last_indexed | 2024-04-11T08:37:59Z |
| publishDate | 2022-10-01 |
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| spelling | doaj.art-c1179425e7c549428891126e83b8e0692022-12-22T04:34:17ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-10-011310.3389/fgene.2022.961142961142Predicting the influence of Circ_0059706 expression on prognosis in patients with acute myeloid leukemia using classical statistics and machine learningJichun Ma0Jichun Ma1Jichun Ma2Xiangmei Wen3Xiangmei Wen4Xiangmei Wen5Zijun Xu6Zijun Xu7Zijun Xu8Peihui Xia9Peihui Xia10Peihui Xia11Ye Jin12Ye Jin13Ye Jin14Jiang Lin15Jiang Lin16Jiang Lin17Jun Qian18Jun Qian19Jun Qian20Deparrtment of Central Lab, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaZhenjiang Clinical Research Center of Hematology, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaThe Key Lab of Precision Diagnosis and Treatment in Hematologic Malignancies of Zhenjiang City, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaDeparrtment of Central Lab, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaZhenjiang Clinical Research Center of Hematology, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaThe Key Lab of Precision Diagnosis and Treatment in Hematologic Malignancies of Zhenjiang City, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaDeparrtment of Central Lab, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaZhenjiang Clinical Research Center of Hematology, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaThe Key Lab of Precision Diagnosis and Treatment in Hematologic Malignancies of Zhenjiang City, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaDeparrtment of Central Lab, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaZhenjiang Clinical Research Center of Hematology, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaThe Key Lab of Precision Diagnosis and Treatment in Hematologic Malignancies of Zhenjiang City, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaDeparrtment of Hematology, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaZhenjiang Clinical Research Center of Hematology, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaThe Key Lab of Precision Diagnosis and Treatment in Hematologic Malignancies of Zhenjiang City, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaDeparrtment of Central Lab, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaZhenjiang Clinical Research Center of Hematology, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaThe Key Lab of Precision Diagnosis and Treatment in Hematologic Malignancies of Zhenjiang City, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaDeparrtment of Hematology, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaZhenjiang Clinical Research Center of Hematology, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaThe Key Lab of Precision Diagnosis and Treatment in Hematologic Malignancies of Zhenjiang City, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, ChinaBackground: Various circular RNA (circRNA) molecules are abnormally expressed in acute myeloid leukemia (AML), and associated with disease occurrence and development, as well as patient prognosis. The roles of circ_0059706, a circRNA derived from ID1, in AML remain largely unclear.Results: Here, we reported circ_0059706 expression in de novo AML and its association with prognosis. We found that circ_0059706 expression was significantly lower in AML patients than in controls (p < 0.001). Survival analysis of patients with AML divided into two groups according to high and low circ_0059706 expression showed that overall survival (OS) of patients with high circ_0059706 expression was significantly longer than that of those with low expression (p < 0.05). Further, female patients with AML and those aged >60 years old in the high circ_0059706 expression group had longer OS than male patients and those younger than 60 years. Multiple regression analysis showed that circ_0059706 was an independent factor-affecting prognosis of all patients with AML. To evaluate the prospects for application of circ_0059706 in machine learning predictions, we developed seven types of algorithm. The gradient boosting (GB) model exhibited higher performance in prediction of 1-year prognosis and 3-year prognosis, with AUROC 0.796 and 0.847. We analyzed the importance of variables and found that circ_0059706 expression level was the first important variables among all 26 factors included in the GB algorithm, suggesting the importance of circ_0059706 in prediction model. Further, overexpression of circ_0059706 inhibited cell growth and increased apoptosis of leukemia cells in vitro.Conclusion: These results provide evidence that high expression of circ_0059706 is propitious for patient prognosis and suggest circ_0059706 as a potential new biomarker for diagnosis and prognosis evaluation in AML, with high predictive value and good prospects for application in machine learning algorithms.https://www.frontiersin.org/articles/10.3389/fgene.2022.961142/fullcirc_0059706acute myeloid leukemiamachine learningprognosisbiomarker |
| spellingShingle | Jichun Ma Jichun Ma Jichun Ma Xiangmei Wen Xiangmei Wen Xiangmei Wen Zijun Xu Zijun Xu Zijun Xu Peihui Xia Peihui Xia Peihui Xia Ye Jin Ye Jin Ye Jin Jiang Lin Jiang Lin Jiang Lin Jun Qian Jun Qian Jun Qian Predicting the influence of Circ_0059706 expression on prognosis in patients with acute myeloid leukemia using classical statistics and machine learning Frontiers in Genetics circ_0059706 acute myeloid leukemia machine learning prognosis biomarker |
| title | Predicting the influence of Circ_0059706 expression on prognosis in patients with acute myeloid leukemia using classical statistics and machine learning |
| title_full | Predicting the influence of Circ_0059706 expression on prognosis in patients with acute myeloid leukemia using classical statistics and machine learning |
| title_fullStr | Predicting the influence of Circ_0059706 expression on prognosis in patients with acute myeloid leukemia using classical statistics and machine learning |
| title_full_unstemmed | Predicting the influence of Circ_0059706 expression on prognosis in patients with acute myeloid leukemia using classical statistics and machine learning |
| title_short | Predicting the influence of Circ_0059706 expression on prognosis in patients with acute myeloid leukemia using classical statistics and machine learning |
| title_sort | predicting the influence of circ 0059706 expression on prognosis in patients with acute myeloid leukemia using classical statistics and machine learning |
| topic | circ_0059706 acute myeloid leukemia machine learning prognosis biomarker |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2022.961142/full |
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