A novel LncRNA risk model for disulfidptosis-related prognosis prediction and response to chemotherapy in acute myeloid leukemia
Abstract Acute myeloid leukemia (AML), the most prevalent acute leukemia in adults, is characterized by its heterogeneity, which contributes to a poor prognosis and high recurrence rate. Recently, a unique form of cell death, called disulfidptosis, has been identified, which could transforming our u...
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Nature Portfolio
2025-05-01
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| Online Access: | https://doi.org/10.1038/s41598-025-01730-8 |
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| author | Yihong Wei Hexiao Jia Xiaodong Guo Hailei Zhang Xinyu Yang Can Can Na He Hanyang Wu Wancheng Liu Daoxin Ma |
| author_facet | Yihong Wei Hexiao Jia Xiaodong Guo Hailei Zhang Xinyu Yang Can Can Na He Hanyang Wu Wancheng Liu Daoxin Ma |
| author_sort | Yihong Wei |
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| description | Abstract Acute myeloid leukemia (AML), the most prevalent acute leukemia in adults, is characterized by its heterogeneity, which contributes to a poor prognosis and high recurrence rate. Recently, a unique form of cell death, called disulfidptosis, has been identified, which could transforming our understanding of and strategy for cancer treatment. Consequently, further inquiry is necessary to explore the possible link between disulfidptosis and AML. To facilitate this analysis, the researchers obtained single-cell RNA sequencing (scRNA-seq) data from AML patients using the Gene Expression Omnibus (GEO) database. By applying the Cox proportional hazards model and least absolute shrinkage and selection operator (LASSO) regression analysis, we created a signature of disulfidptosis-related long non-coding RNAs (DRLs). This predictive model was established based on six specific DRLs (AC005076.1, AP002807.1, HDAC4-AS1, L3MBTL4-AS1, LINC01694, and THAP9-AS1). The utility of this model in forecasting the prognosis of AML patients was corroborated by the receiver operating characteristic (ROC) curve. Moreover, significant variations in the biological functions and signaling pathways were discovered by gene ontology (GO) and Gene Set Enrichment Analysis (GSEA). To further investigate the relationship between immune infiltration, the study assessed variations in immune checkpoint expression and immune cell subset infiltration. Additionally, we used real-time quantitative PCR (RT-qPCR) to detect lncRNA expression in AML and healthy control to substantiate our analysis results. In conclusion, the results of this study may help discover novel therapeutic targets and prognostic biomarkers for AML, paving the way for customized precision chemotherapy. |
| format | Article |
| id | doaj-art-055f9d4a400e4da48cffff2d0794e2d2 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-055f9d4a400e4da48cffff2d0794e2d22025-08-20T03:53:58ZengNature PortfolioScientific Reports2045-23222025-05-0115111510.1038/s41598-025-01730-8A novel LncRNA risk model for disulfidptosis-related prognosis prediction and response to chemotherapy in acute myeloid leukemiaYihong Wei0Hexiao Jia1Xiaodong Guo2Hailei Zhang3Xinyu Yang4Can Can5Na He6Hanyang Wu7Wancheng Liu8Daoxin Ma9Department of Hematology, Qilu Hospital of Shandong UniversityDepartment of Hematology, Qilu Hospital of Shandong UniversityDepartment of Hematology, Qilu Hospital of Shandong UniversityDepartment of Hematology, Qilu Hospital of Shandong UniversityDepartment of Hematology, Qilu Hospital of Shandong UniversityDepartment of Hematology, Qilu Hospital of Shandong UniversityDepartment of Hematology, Qilu Hospital of Shandong UniversityDepartment of Hematology, Qilu Hospital of Shandong UniversityDepartment of Hematology, Qilu Hospital of Shandong UniversityDepartment of Hematology, Qilu Hospital of Shandong UniversityAbstract Acute myeloid leukemia (AML), the most prevalent acute leukemia in adults, is characterized by its heterogeneity, which contributes to a poor prognosis and high recurrence rate. Recently, a unique form of cell death, called disulfidptosis, has been identified, which could transforming our understanding of and strategy for cancer treatment. Consequently, further inquiry is necessary to explore the possible link between disulfidptosis and AML. To facilitate this analysis, the researchers obtained single-cell RNA sequencing (scRNA-seq) data from AML patients using the Gene Expression Omnibus (GEO) database. By applying the Cox proportional hazards model and least absolute shrinkage and selection operator (LASSO) regression analysis, we created a signature of disulfidptosis-related long non-coding RNAs (DRLs). This predictive model was established based on six specific DRLs (AC005076.1, AP002807.1, HDAC4-AS1, L3MBTL4-AS1, LINC01694, and THAP9-AS1). The utility of this model in forecasting the prognosis of AML patients was corroborated by the receiver operating characteristic (ROC) curve. Moreover, significant variations in the biological functions and signaling pathways were discovered by gene ontology (GO) and Gene Set Enrichment Analysis (GSEA). To further investigate the relationship between immune infiltration, the study assessed variations in immune checkpoint expression and immune cell subset infiltration. Additionally, we used real-time quantitative PCR (RT-qPCR) to detect lncRNA expression in AML and healthy control to substantiate our analysis results. In conclusion, the results of this study may help discover novel therapeutic targets and prognostic biomarkers for AML, paving the way for customized precision chemotherapy.https://doi.org/10.1038/s41598-025-01730-8DisulfidptosisAcute myeloid leukemiaLncRNAPrognostic signature |
| spellingShingle | Yihong Wei Hexiao Jia Xiaodong Guo Hailei Zhang Xinyu Yang Can Can Na He Hanyang Wu Wancheng Liu Daoxin Ma A novel LncRNA risk model for disulfidptosis-related prognosis prediction and response to chemotherapy in acute myeloid leukemia Scientific Reports Disulfidptosis Acute myeloid leukemia LncRNA Prognostic signature |
| title | A novel LncRNA risk model for disulfidptosis-related prognosis prediction and response to chemotherapy in acute myeloid leukemia |
| title_full | A novel LncRNA risk model for disulfidptosis-related prognosis prediction and response to chemotherapy in acute myeloid leukemia |
| title_fullStr | A novel LncRNA risk model for disulfidptosis-related prognosis prediction and response to chemotherapy in acute myeloid leukemia |
| title_full_unstemmed | A novel LncRNA risk model for disulfidptosis-related prognosis prediction and response to chemotherapy in acute myeloid leukemia |
| title_short | A novel LncRNA risk model for disulfidptosis-related prognosis prediction and response to chemotherapy in acute myeloid leukemia |
| title_sort | novel lncrna risk model for disulfidptosis related prognosis prediction and response to chemotherapy in acute myeloid leukemia |
| topic | Disulfidptosis Acute myeloid leukemia LncRNA Prognostic signature |
| url | https://doi.org/10.1038/s41598-025-01730-8 |
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