DLC1 deficiency at diagnosis predicts poor prognosis in acute myeloid leukemia
Abstract Acute myeloid leukemia (AML) is a complex, heterogeneous malignant hematologic disease. Although multiple prognostic-related genes gave been explored in previous studies, there are still many genes whose prognostic value remains unclear. In this study, a total of 1532 AML patients from thre...
Ausführliche Beschreibung
Autor*in: |
Li, Xueqian [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022 |
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Schlagwörter: |
Weighted gene co-expression network analysis |
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Anmerkung: |
© The Author(s) 2022 |
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Übergeordnetes Werk: |
Enthalten in: Experimental hematology & oncology - London : Biomed Central, 2012, 11(2022), 1 vom: 18. Okt. |
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Übergeordnetes Werk: |
volume:11 ; year:2022 ; number:1 ; day:18 ; month:10 |
Links: |
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DOI / URN: |
10.1186/s40164-022-00335-5 |
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Katalog-ID: |
SPR051070898 |
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520 | |a Abstract Acute myeloid leukemia (AML) is a complex, heterogeneous malignant hematologic disease. Although multiple prognostic-related genes gave been explored in previous studies, there are still many genes whose prognostic value remains unclear. In this study, a total of 1532 AML patients from three GEO databases were included, five genes with potential prognostic value (DLC1, NF1B, DENND5B, TANC2 and ELAVL4) were screened by weighted gene co-expression network analysis (WGCNA), least absolute shrinkage and selection operator (LASSO) and support vector machine recursive feature elimination (SVM-RFE). Based on this, we conducted survival analysis of the above five genes through the TCGA database and found that low level of DLC1 was detrimental to the long-term prognosis of AML patients. We also performed external validation in 48 AML patients from our medical center to analyze the impact of DLC1 level on prognosis. In conclusion, DLC1 may be a potential marker affecting the prognosis of AML, and its deficiency is associated with poor prognosis. | ||
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10.1186/s40164-022-00335-5 doi (DE-627)SPR051070898 (SPR)s40164-022-00335-5-e DE-627 ger DE-627 rakwb eng Li, Xueqian verfasserin aut DLC1 deficiency at diagnosis predicts poor prognosis in acute myeloid leukemia 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract Acute myeloid leukemia (AML) is a complex, heterogeneous malignant hematologic disease. Although multiple prognostic-related genes gave been explored in previous studies, there are still many genes whose prognostic value remains unclear. In this study, a total of 1532 AML patients from three GEO databases were included, five genes with potential prognostic value (DLC1, NF1B, DENND5B, TANC2 and ELAVL4) were screened by weighted gene co-expression network analysis (WGCNA), least absolute shrinkage and selection operator (LASSO) and support vector machine recursive feature elimination (SVM-RFE). Based on this, we conducted survival analysis of the above five genes through the TCGA database and found that low level of DLC1 was detrimental to the long-term prognosis of AML patients. We also performed external validation in 48 AML patients from our medical center to analyze the impact of DLC1 level on prognosis. In conclusion, DLC1 may be a potential marker affecting the prognosis of AML, and its deficiency is associated with poor prognosis. Acute myeloid leukemia (dpeaa)DE-He213 Weighted gene co-expression network analysis (dpeaa)DE-He213 Differential gene expression analysis (dpeaa)DE-He213 DLC1 (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 Qi, Jiaqian aut Song, Xiaofei aut Xu, Xiaoyan aut Pan, Tingting aut Wang, Hong aut Yang, Jingyi aut Han, Yue (orcid)0000-0002-7560-7195 aut Enthalten in Experimental hematology & oncology London : Biomed Central, 2012 11(2022), 1 vom: 18. Okt. (DE-627)718833341 (DE-600)2669066-4 2162-3619 nnns volume:11 year:2022 number:1 day:18 month:10 https://dx.doi.org/10.1186/s40164-022-00335-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2022 1 18 10 |
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10.1186/s40164-022-00335-5 doi (DE-627)SPR051070898 (SPR)s40164-022-00335-5-e DE-627 ger DE-627 rakwb eng Li, Xueqian verfasserin aut DLC1 deficiency at diagnosis predicts poor prognosis in acute myeloid leukemia 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract Acute myeloid leukemia (AML) is a complex, heterogeneous malignant hematologic disease. Although multiple prognostic-related genes gave been explored in previous studies, there are still many genes whose prognostic value remains unclear. In this study, a total of 1532 AML patients from three GEO databases were included, five genes with potential prognostic value (DLC1, NF1B, DENND5B, TANC2 and ELAVL4) were screened by weighted gene co-expression network analysis (WGCNA), least absolute shrinkage and selection operator (LASSO) and support vector machine recursive feature elimination (SVM-RFE). Based on this, we conducted survival analysis of the above five genes through the TCGA database and found that low level of DLC1 was detrimental to the long-term prognosis of AML patients. We also performed external validation in 48 AML patients from our medical center to analyze the impact of DLC1 level on prognosis. In conclusion, DLC1 may be a potential marker affecting the prognosis of AML, and its deficiency is associated with poor prognosis. Acute myeloid leukemia (dpeaa)DE-He213 Weighted gene co-expression network analysis (dpeaa)DE-He213 Differential gene expression analysis (dpeaa)DE-He213 DLC1 (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 Qi, Jiaqian aut Song, Xiaofei aut Xu, Xiaoyan aut Pan, Tingting aut Wang, Hong aut Yang, Jingyi aut Han, Yue (orcid)0000-0002-7560-7195 aut Enthalten in Experimental hematology & oncology London : Biomed Central, 2012 11(2022), 1 vom: 18. Okt. (DE-627)718833341 (DE-600)2669066-4 2162-3619 nnns volume:11 year:2022 number:1 day:18 month:10 https://dx.doi.org/10.1186/s40164-022-00335-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2022 1 18 10 |
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10.1186/s40164-022-00335-5 doi (DE-627)SPR051070898 (SPR)s40164-022-00335-5-e DE-627 ger DE-627 rakwb eng Li, Xueqian verfasserin aut DLC1 deficiency at diagnosis predicts poor prognosis in acute myeloid leukemia 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract Acute myeloid leukemia (AML) is a complex, heterogeneous malignant hematologic disease. Although multiple prognostic-related genes gave been explored in previous studies, there are still many genes whose prognostic value remains unclear. In this study, a total of 1532 AML patients from three GEO databases were included, five genes with potential prognostic value (DLC1, NF1B, DENND5B, TANC2 and ELAVL4) were screened by weighted gene co-expression network analysis (WGCNA), least absolute shrinkage and selection operator (LASSO) and support vector machine recursive feature elimination (SVM-RFE). Based on this, we conducted survival analysis of the above five genes through the TCGA database and found that low level of DLC1 was detrimental to the long-term prognosis of AML patients. We also performed external validation in 48 AML patients from our medical center to analyze the impact of DLC1 level on prognosis. In conclusion, DLC1 may be a potential marker affecting the prognosis of AML, and its deficiency is associated with poor prognosis. Acute myeloid leukemia (dpeaa)DE-He213 Weighted gene co-expression network analysis (dpeaa)DE-He213 Differential gene expression analysis (dpeaa)DE-He213 DLC1 (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 Qi, Jiaqian aut Song, Xiaofei aut Xu, Xiaoyan aut Pan, Tingting aut Wang, Hong aut Yang, Jingyi aut Han, Yue (orcid)0000-0002-7560-7195 aut Enthalten in Experimental hematology & oncology London : Biomed Central, 2012 11(2022), 1 vom: 18. Okt. (DE-627)718833341 (DE-600)2669066-4 2162-3619 nnns volume:11 year:2022 number:1 day:18 month:10 https://dx.doi.org/10.1186/s40164-022-00335-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2022 1 18 10 |
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10.1186/s40164-022-00335-5 doi (DE-627)SPR051070898 (SPR)s40164-022-00335-5-e DE-627 ger DE-627 rakwb eng Li, Xueqian verfasserin aut DLC1 deficiency at diagnosis predicts poor prognosis in acute myeloid leukemia 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract Acute myeloid leukemia (AML) is a complex, heterogeneous malignant hematologic disease. Although multiple prognostic-related genes gave been explored in previous studies, there are still many genes whose prognostic value remains unclear. In this study, a total of 1532 AML patients from three GEO databases were included, five genes with potential prognostic value (DLC1, NF1B, DENND5B, TANC2 and ELAVL4) were screened by weighted gene co-expression network analysis (WGCNA), least absolute shrinkage and selection operator (LASSO) and support vector machine recursive feature elimination (SVM-RFE). Based on this, we conducted survival analysis of the above five genes through the TCGA database and found that low level of DLC1 was detrimental to the long-term prognosis of AML patients. We also performed external validation in 48 AML patients from our medical center to analyze the impact of DLC1 level on prognosis. In conclusion, DLC1 may be a potential marker affecting the prognosis of AML, and its deficiency is associated with poor prognosis. Acute myeloid leukemia (dpeaa)DE-He213 Weighted gene co-expression network analysis (dpeaa)DE-He213 Differential gene expression analysis (dpeaa)DE-He213 DLC1 (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 Qi, Jiaqian aut Song, Xiaofei aut Xu, Xiaoyan aut Pan, Tingting aut Wang, Hong aut Yang, Jingyi aut Han, Yue (orcid)0000-0002-7560-7195 aut Enthalten in Experimental hematology & oncology London : Biomed Central, 2012 11(2022), 1 vom: 18. Okt. (DE-627)718833341 (DE-600)2669066-4 2162-3619 nnns volume:11 year:2022 number:1 day:18 month:10 https://dx.doi.org/10.1186/s40164-022-00335-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2022 1 18 10 |
allfieldsSound |
10.1186/s40164-022-00335-5 doi (DE-627)SPR051070898 (SPR)s40164-022-00335-5-e DE-627 ger DE-627 rakwb eng Li, Xueqian verfasserin aut DLC1 deficiency at diagnosis predicts poor prognosis in acute myeloid leukemia 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract Acute myeloid leukemia (AML) is a complex, heterogeneous malignant hematologic disease. Although multiple prognostic-related genes gave been explored in previous studies, there are still many genes whose prognostic value remains unclear. In this study, a total of 1532 AML patients from three GEO databases were included, five genes with potential prognostic value (DLC1, NF1B, DENND5B, TANC2 and ELAVL4) were screened by weighted gene co-expression network analysis (WGCNA), least absolute shrinkage and selection operator (LASSO) and support vector machine recursive feature elimination (SVM-RFE). Based on this, we conducted survival analysis of the above five genes through the TCGA database and found that low level of DLC1 was detrimental to the long-term prognosis of AML patients. We also performed external validation in 48 AML patients from our medical center to analyze the impact of DLC1 level on prognosis. In conclusion, DLC1 may be a potential marker affecting the prognosis of AML, and its deficiency is associated with poor prognosis. Acute myeloid leukemia (dpeaa)DE-He213 Weighted gene co-expression network analysis (dpeaa)DE-He213 Differential gene expression analysis (dpeaa)DE-He213 DLC1 (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 Qi, Jiaqian aut Song, Xiaofei aut Xu, Xiaoyan aut Pan, Tingting aut Wang, Hong aut Yang, Jingyi aut Han, Yue (orcid)0000-0002-7560-7195 aut Enthalten in Experimental hematology & oncology London : Biomed Central, 2012 11(2022), 1 vom: 18. Okt. (DE-627)718833341 (DE-600)2669066-4 2162-3619 nnns volume:11 year:2022 number:1 day:18 month:10 https://dx.doi.org/10.1186/s40164-022-00335-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2022 1 18 10 |
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Enthalten in Experimental hematology & oncology 11(2022), 1 vom: 18. Okt. volume:11 year:2022 number:1 day:18 month:10 |
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Enthalten in Experimental hematology & oncology 11(2022), 1 vom: 18. Okt. volume:11 year:2022 number:1 day:18 month:10 |
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Acute myeloid leukemia Weighted gene co-expression network analysis Differential gene expression analysis DLC1 Machine learning |
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Li, Xueqian @@aut@@ Qi, Jiaqian @@aut@@ Song, Xiaofei @@aut@@ Xu, Xiaoyan @@aut@@ Pan, Tingting @@aut@@ Wang, Hong @@aut@@ Yang, Jingyi @@aut@@ Han, Yue @@aut@@ |
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Li, Xueqian misc Acute myeloid leukemia misc Weighted gene co-expression network analysis misc Differential gene expression analysis misc DLC1 misc Machine learning DLC1 deficiency at diagnosis predicts poor prognosis in acute myeloid leukemia |
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DLC1 deficiency at diagnosis predicts poor prognosis in acute myeloid leukemia Acute myeloid leukemia (dpeaa)DE-He213 Weighted gene co-expression network analysis (dpeaa)DE-He213 Differential gene expression analysis (dpeaa)DE-He213 DLC1 (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 |
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dlc1 deficiency at diagnosis predicts poor prognosis in acute myeloid leukemia |
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DLC1 deficiency at diagnosis predicts poor prognosis in acute myeloid leukemia |
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Abstract Acute myeloid leukemia (AML) is a complex, heterogeneous malignant hematologic disease. Although multiple prognostic-related genes gave been explored in previous studies, there are still many genes whose prognostic value remains unclear. In this study, a total of 1532 AML patients from three GEO databases were included, five genes with potential prognostic value (DLC1, NF1B, DENND5B, TANC2 and ELAVL4) were screened by weighted gene co-expression network analysis (WGCNA), least absolute shrinkage and selection operator (LASSO) and support vector machine recursive feature elimination (SVM-RFE). Based on this, we conducted survival analysis of the above five genes through the TCGA database and found that low level of DLC1 was detrimental to the long-term prognosis of AML patients. We also performed external validation in 48 AML patients from our medical center to analyze the impact of DLC1 level on prognosis. In conclusion, DLC1 may be a potential marker affecting the prognosis of AML, and its deficiency is associated with poor prognosis. © The Author(s) 2022 |
abstractGer |
Abstract Acute myeloid leukemia (AML) is a complex, heterogeneous malignant hematologic disease. Although multiple prognostic-related genes gave been explored in previous studies, there are still many genes whose prognostic value remains unclear. In this study, a total of 1532 AML patients from three GEO databases were included, five genes with potential prognostic value (DLC1, NF1B, DENND5B, TANC2 and ELAVL4) were screened by weighted gene co-expression network analysis (WGCNA), least absolute shrinkage and selection operator (LASSO) and support vector machine recursive feature elimination (SVM-RFE). Based on this, we conducted survival analysis of the above five genes through the TCGA database and found that low level of DLC1 was detrimental to the long-term prognosis of AML patients. We also performed external validation in 48 AML patients from our medical center to analyze the impact of DLC1 level on prognosis. In conclusion, DLC1 may be a potential marker affecting the prognosis of AML, and its deficiency is associated with poor prognosis. © The Author(s) 2022 |
abstract_unstemmed |
Abstract Acute myeloid leukemia (AML) is a complex, heterogeneous malignant hematologic disease. Although multiple prognostic-related genes gave been explored in previous studies, there are still many genes whose prognostic value remains unclear. In this study, a total of 1532 AML patients from three GEO databases were included, five genes with potential prognostic value (DLC1, NF1B, DENND5B, TANC2 and ELAVL4) were screened by weighted gene co-expression network analysis (WGCNA), least absolute shrinkage and selection operator (LASSO) and support vector machine recursive feature elimination (SVM-RFE). Based on this, we conducted survival analysis of the above five genes through the TCGA database and found that low level of DLC1 was detrimental to the long-term prognosis of AML patients. We also performed external validation in 48 AML patients from our medical center to analyze the impact of DLC1 level on prognosis. In conclusion, DLC1 may be a potential marker affecting the prognosis of AML, and its deficiency is associated with poor prognosis. © The Author(s) 2022 |
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DLC1 deficiency at diagnosis predicts poor prognosis in acute myeloid leukemia |
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