PIM1过表达对甲状腺乳头状癌细胞代谢组学的影响及意义
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1.温州医科大学研究生培养基地(浙江省肿瘤医院),浙江 杭州 310022;2.浙江省头颈肿瘤转化医学研究重点实验室,浙江省肿瘤医院,浙江 杭州 310022

作者简介:

王佳琦,温州医科大学硕士研究生,主要从事甲状腺癌方面的研究。

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国家自然科学基金资助项目(82072950)。


Impact of PIM1 overexpression on the metabolomics of papillary thyroid carcinoma cells and its significance
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1.Postgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou310022, China;2.Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Zhejiang Cancer Hospital, Hangzhou310022, China

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    摘要:

    背景与目的 编码组成型活性丝苏氨酸激酶的致癌基因PIM1表达上调与各种肿瘤的发生和发展有关,笔者前期研究中证实PIM1对甲状腺癌的致癌作用,能够影响甲状腺癌的发生发展及预后。因此,本研究通过代谢组学分析过表达PIM1的甲状腺乳头状癌(PTC)细胞的代谢特性,为进一步研究PIM1如何调节PTC的代谢过程提供依据。方法 构建PIM1过表达载体,建立稳定转染的PTC细胞株(BCPAP);通过qRT-PCR和Western blot验证PIM1过表达的效果;基于液相色谱-质谱联用(LC-MS)技术,对PIM1过表达的BCPAP细胞株(PIM1-OE)及转染空白质粒的对照细胞株(NC)进行代谢组学分析,结合多元统计分析以及KEGG数据库,鉴定并筛选出差异代谢物及代谢通路;基于生物信息学验证PIM1及相关代谢通路与甲状腺癌患者的预后关系。结果 PIM1过表达的BCPAP细胞株中PIM1的mRNA和蛋白表达水平均明显上调(均P<0.05);代谢组学结果显示,PIM1过表达后,细胞内41种代谢物发生变化,其中15种代谢物(L-天冬氨酸、琥珀酸、L-苏氨酸、L-色氨酸、甜菜碱、2-脱氢泛酸、3-吲哚乙腈、D-章鱼碱、吲哚、N-乙酰谷氨酸、肌酸、泛酸、尿毒酸、N-乙酰-L-天冬氨酸、磷酸羟基丙酮酸)差异较为明显(均P<0.05);结合KEGG数据库分析差异代谢产物后发现31条代谢通路存在差异,其中4条代谢通路(丙氨酸、天冬氨酸和谷氨酸代谢,色氨酸代谢,甘氨酸、丝氨酸和苏氨酸代谢,精氨酸和脯氨酸代谢)差异较为明显,且代谢途径的活性均下调(均P<0.05);生物信息学分析结果显示,PIM1的高表达以及甘氨酸、丝氨酸和苏氨酸代谢通路活性下调的甲状腺癌患者的总生存率均明显降低(均P<0.05)。结论 PIM1可能通过调节天冬氨酸、琥珀酸和色氨酸在内的多种氨基酸代谢水平,影响多种代谢途径,改变PTC的代谢状态,进而促进PTC的发生发展过程,其中甘氨酸、丝氨酸和苏氨酸代谢途径的变化可能与患者预后密切相关。

    Abstract:

    Background and Aims The oncogene PIM1, encoding a constitutively active serine/threonine kinase, is upregulated in various tumors and closely associated with tumorigenesis and progression. Our previous studies have confirmed the oncogenic role of PIM1 in thyroid cancer, demonstrating its impact on tumor development, progression, and prognosis. This study was conducted to investigate the metabolic characteristics of papillary thyroid carcinoma (PTC) cells overexpressing PIM1 using metabolomics analysis, providing a basis for further exploring how PIM1 regulates metabolic processes in PTC.Methods A PIM1 overexpression plasmid was constructed, and a stably transfected PTC cell line (BCPAP) was established. The overexpression of PIM1 was verified by qRT-PCR and Western blot. Metabolomics analysis of PIM1-overexpressing BCPAP cells (PIM1-OE) and control cells transfected with an empty vector (NC) was performed using liquid chromatography-mass spectrometry (LC-MS). Differential metabolites and metabolic pathways were identified and screened through multivariate statistical analysis and the KEGG database. Bioinformatics analysis was conducted to explore the relationship between PIM1, associated metabolic pathways, and the prognosis of thyroid cancer patients.Results The mRNA and protein levels of PIM1 were significantly upregulated in the PIM1-OE BCPAP cells (both P<0.05). Metabolomics analysis identified changes in 41 intracellular metabolites in PIM1-OE cells, with 15 metabolites showing significant differences, including L-aspartic acid, succinic acid, L-threonine, L-tryptophan, betaine, 2-dehydropantothenate, 3-indoleacetonitrile, D-octopine, indole, N-acetylglutamic acid, creatine, pantothenic acid, uremic acid, N-acetyl-L-aspartic acid, and hydroxyphosphono-pyruvic acid (all P<0.05). KEGG database analysis revealed significant alterations in 31 metabolic pathways, with 4 pathways—alanine, aspartate and glutamate metabolism; tryptophan metabolism; glycine, serine, and threonine metabolism; and arginine and proline metabolism—being notably affected, showing decreased activity (all P<0.05). Bioinformatics analysis indicated that high PIM1 expression and reduced activity in the glycine, serine, and threonine metabolic pathways were associated with significantly decreased overall survival in thyroid cancer patients (both P<0.05).Conclusion PIM1 may influence multiple metabolic pathways by regulating the levels of various amino acids, including aspartic acid, succinic acid, and tryptophan, thereby altering the metabolic state of PTC and promoting its development and progression. Among these, changes in the glycine, serine, and threonine metabolic pathways may be closely associated with patient prognosis.

    表 2 41种差异代谢产物信息Table 2 Information of the 41 differential metabolites
    表 1 引物序列Table 1 Primer sequences
    图1 慢病毒载体GV141Fig.1 The lentiviral vector GV 141
    图2 PIM1-OE和NC细胞中PIM1的mRNA和蛋白表达水平 A:qPCR检测PIM1的mRNA水平;B-C:Western blot检测PIM1的蛋白表达水平Fig.2 The mRNA and protein expression levels of PIM1 in PIM1-OE and NC cells A: qPCR analysis of PIM1 mRNA levels; B-C: Western blot analysis of PIM1 protein expression levels
    图3 多元统计分析 A:PCA得分图;B:PLS-DA得分图;C:置换检验图;D:OPLS-DA得分图Fig.3 Multivariate analysis A: PCA scores plot; B: PLS-DA scores plot; C: Corresponding validation plot; D: OPLS-DA scores plot
    图4 差异较为明显的15种差异代谢物的箱式图Fig.4 Box plots of 15 differential metabolites with significant differences
    图5 代谢组学分析结果 A:差异代谢物热图;B:差异代谢物关联热图;C:差异代谢通路分析Fig.5 Results of metabolomics analysis A: Heatmap of differential metabolites; B: Correlation heatmap of differential metabolites; C: Analysis of differential metabolic pathways
    图6 PIM1和相关代谢通路与甲状腺癌患者预后的相关性分析 A:代谢网络图,点表示代谢物,与之相关联的分子数目越多,点越大,分子点可通过渐变色表示log2(FC)值的大小;B:PIM1及4条差异代谢路径与患者总生存率的关系Fig.6 Correlation analysis of PIM1 and related metabolic pathways with the prognosis of thyroid cancer patients A: Metabolic network diagram, nodes represent metabolites, the larger the node, the greater the number of associated molecules, and the gradient color of the nodes indicates the log2(FC) value; B: Relationship Between PIM1 and 4 differential metabolic pathways with overall survival of patients
    图1 慢病毒载体GV141Fig.1 The lentiviral vector GV 141
    图2 PIM1-OE和NC细胞中PIM1的mRNA和蛋白表达水平 A:qPCR检测PIM1的mRNA水平;B-C:Western blot检测PIM1的蛋白表达水平Fig.2 The mRNA and protein expression levels of PIM1 in PIM1-OE and NC cells A: qPCR analysis of PIM1 mRNA levels; B-C: Western blot analysis of PIM1 protein expression levels
    图3 多元统计分析 A:PCA得分图;B:PLS-DA得分图;C:置换检验图;D:OPLS-DA得分图Fig.3 Multivariate analysis A: PCA scores plot; B: PLS-DA scores plot; C: Corresponding validation plot; D: OPLS-DA scores plot
    图4 差异较为明显的15种差异代谢物的箱式图Fig.4 Box plots of 15 differential metabolites with significant differences
    图5 代谢组学分析结果 A:差异代谢物热图;B:差异代谢物关联热图;C:差异代谢通路分析Fig.5 Results of metabolomics analysis A: Heatmap of differential metabolites; B: Correlation heatmap of differential metabolites; C: Analysis of differential metabolic pathways
    图6 PIM1和相关代谢通路与甲状腺癌患者预后的相关性分析 A:代谢网络图,点表示代谢物,与之相关联的分子数目越多,点越大,分子点可通过渐变色表示log2(FC)值的大小;B:PIM1及4条差异代谢路径与患者总生存率的关系Fig.6 Correlation analysis of PIM1 and related metabolic pathways with the prognosis of thyroid cancer patients A: Metabolic network diagram, nodes represent metabolites, the larger the node, the greater the number of associated molecules, and the gradient color of the nodes indicates the log2(FC) value; B: Relationship Between PIM1 and 4 differential metabolic pathways with overall survival of patients
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王佳琦,许茜茜,唐茜,朱欣. PIM1过表达对甲状腺乳头状癌细胞代谢组学的影响及意义[J].中国普通外科杂志,2024,33(11):1835-1845.
DOI:10.7659/j. issn.1005-6947.2024.11.010

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  • 收稿日期:2023-12-13
  • 最后修改日期:2024-04-10
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  • 在线发布日期: 2024-12-18