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急性髓系白血病预后预测的新型脂肪酸代谢相关风险模型。

A Novel Fatty Acid Metabolism-Associated Risk Model for Prognosis Prediction in Acute Myeloid Leukaemia.

机构信息

Department of Hematology, Qilu Hospital of Shandong University, Jinan 250012, China.

Hematology and Oncology Unit, Department of Geriatrics, Qilu Hospital of Shandong University, Jinan 250012, China.

出版信息

Curr Oncol. 2023 Feb 20;30(2):2524-2542. doi: 10.3390/curroncol30020193.

DOI:10.3390/curroncol30020193
PMID:36826154
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9955245/
Abstract

Acute myeloid leukaemia (AML) is the most common acute leukaemia in adults, with an unfavourable outcome and a high rate of recurrence due to its heterogeneity. Dysregulation of fatty acid metabolism plays a crucial role in the development of several tumours. However, the value of fatty acid metabolism (FAM) in the progression of AML remains unclear. In this study, we obtained RNA sequencing and corresponding clinicopathological information from the TCGA and GEO databases. Univariate Cox regression analysis and subsequent LASSO Cox regression analysis were utilized to identify prognostic FAM-related genes and develop a potential prognostic risk model. Kaplan-Meier analysis was used for prognostic significances. We also performed ROC curve to illustrate that the risk model in prognostic prediction has good performance. Moreover, significant differences in immune infiltration landscape were found between high-risk and low-risk groups using ESTIMATE and CIBERSOT algorithms. In the end, differential expressed genes (DEGs) were analyzed by gene set enrichment analysis (GSEA) to preliminarily explore the possible signaling pathways related to the prognosis of FAM and AML. The results of our study may provide potential prognostic biomarkers and therapeutic targets for AML patients, which is conducive to individualized precision therapy.

摘要

急性髓系白血病（AML）是成人中最常见的急性白血病，由于其异质性，预后不良，复发率高。脂肪酸代谢失调在多种肿瘤的发生发展中起着至关重要的作用。然而，脂肪酸代谢（FAM）在 AML 进展中的价值尚不清楚。在这项研究中，我们从 TCGA 和 GEO 数据库中获得了 RNA 测序和相应的临床病理信息。采用单因素 Cox 回归分析和随后的 LASSO Cox 回归分析来鉴定与预后相关的 FAM 基因，并建立一个潜在的预后风险模型。Kaplan-Meier 分析用于评估预后意义。我们还通过 ROC 曲线来证明风险模型在预后预测方面具有良好的性能。此外，我们还使用 ESTIMATE 和 CIBERSOT 算法，在高风险和低风险组之间发现了显著不同的免疫浸润景观。最后，通过基因集富集分析（GSEA）对差异表达基因（DEGs）进行分析，初步探讨与 FAM 和 AML 预后相关的可能信号通路。我们的研究结果可能为 AML 患者提供潜在的预后生物标志物和治疗靶点，有助于实现个体化精准治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4992/9955245/86e91441d7f6/curroncol-30-00193-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4992/9955245/f557bb8e94aa/curroncol-30-00193-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4992/9955245/9a125a992b61/curroncol-30-00193-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4992/9955245/76611b6b7764/curroncol-30-00193-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4992/9955245/e0862e4faba0/curroncol-30-00193-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4992/9955245/a253f4089671/curroncol-30-00193-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4992/9955245/1ccda745385c/curroncol-30-00193-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4992/9955245/53e7588d8ce7/curroncol-30-00193-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4992/9955245/0491ddfce442/curroncol-30-00193-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4992/9955245/86e91441d7f6/curroncol-30-00193-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4992/9955245/f557bb8e94aa/curroncol-30-00193-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4992/9955245/f5a85994275f/curroncol-30-00193-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4992/9955245/9a125a992b61/curroncol-30-00193-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4992/9955245/76611b6b7764/curroncol-30-00193-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4992/9955245/e0862e4faba0/curroncol-30-00193-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4992/9955245/a253f4089671/curroncol-30-00193-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4992/9955245/1ccda745385c/curroncol-30-00193-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4992/9955245/53e7588d8ce7/curroncol-30-00193-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4992/9955245/0491ddfce442/curroncol-30-00193-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4992/9955245/86e91441d7f6/curroncol-30-00193-g010.jpg

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