Multi-Omics Analysis of Fatty Acid Metabolism in Thyroid Carcinoma

被引:26
|
作者
Lu, Jinghui [1 ]
Zhang, Yankun [2 ,3 ]
Sun, Min [1 ,4 ]
Ding, Changyuan [5 ]
Zhang, Lei [6 ]
Kong, Youzi [7 ,8 ]
Cai, Meng [9 ]
Miccoli, Paolo [10 ]
Ma, Chunhong [2 ,3 ]
Yue, Xuetian [7 ,8 ]
机构
[1] Shandong Univ, Dept Hernia & Abdominal Wall Surg, Gen Surg, Qilu Hosp,Cheeloo Coll Med, Jinan, Peoples R China
[2] Shandong Univ, Key Lab Expt Teratol, Minist Educ, Sch Basic Med Sci,Cheeloo Coll Med, Jinan, Peoples R China
[3] Shandong Univ, Dept Immunol, Sch Basic Med Sci, Cheeloo Coll Med, Jinan, Peoples R China
[4] Shandong Univ, Lab Basic Med Sci, Qilu Hosp, Cheeloo Coll Med, Jinan, Peoples R China
[5] Shandong Univ, Dept Thyroid Surg, Gen Surg, Qilu Hosp,Cheeloo Coll Med, Jinan, Peoples R China
[6] Shandong Univ, Dept Obstet, Second Hosp, Cheeloo Coll Med, Jinan, Peoples R China
[7] Shandong Univ, Key Lab Expt Teratol, Minist Educ, Sch Basic Med Sci,Cheeloo Coll Med, Jinan, Peoples R China
[8] Shandong Univ, Dept Cell Biol, Sch Basic Med Sci, Cheeloo Coll Med, Jinan, Peoples R China
[9] Shandong First Med Univ, Dept Ultrasound, Shandong Prov Hosp, Jinan, Peoples R China
[10] Univ Pisa, Dept Surg, Pisa, Italy
来源
FRONTIERS IN ONCOLOGY | 2021年 / 11卷
基金
中国国家自然科学基金;
关键词
fatty acid metabolism; multi-omics analysis; thyroid carcinoma; therapeutic target; FATP2; CPT1A; LPL; ACYL-COA SYNTHETASE; LIPOPROTEIN-LIPASE; LIPID-METABOLISM; TRANSPORT; CANCER; SURVIVAL;
D O I
10.3389/fonc.2021.737127
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
ObjectivePapillary thyroid carcinoma (PTC) accounts for the majority of thyroid cancer and affects a large number of individuals. The pathogenesis of PTC has not been completely elucidated thus far. Metabolic reprogramming is a common feature in tumours. Our previous research revealed the reprogramming of lipid metabolism in PTC. Further studies on lipid metabolism reprogramming may help elucidate the pathogenesis of PTC. MethodsClinical samples of PTC and para-tumour tissue were analysed using lipidomic, proteomic, and metabolomic approaches. A multi-omics integrative strategy was adopted to identify the important pathways in PTC. The findings were further confirmed using western blotting, tissue microarray, bioinformatics, and cell migration assays. ResultsMulti-omics data and the results of integrated analysis revealed that the three steps of fatty acid metabolism (hydrolysis, transportation, and oxidation) were significantly enhanced in PTC. Especially, the expression levels of LPL, FATP2, and CPT1A, three key enzymes in the respective steps, were elevated in PTC. Moreover, LPL, FATP2 and CPT1A expression was associated with the TNM stage, lymph node metastasis of PTC. Moreover, high levels of FATP2 and CPT1A contributed to poor prognosis of PTC. In addition, ectopic overexpression of LPL, FATP2 and CPT1A can each promote the migration of thyroid cancer cells. ConclusionsOur data suggested that enhanced fatty acid metabolism supplied additional energy and substrates for PTC progression. This may help elucidating the underlying mechanism of PTC pathogenesis and identifying the potential therapeutic targets for PTC.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Effects of moderate intensity exercise on liver metabolism in mice based on multi-omics analysis
    Wang, Fang
    Wu, Wanyu
    He, Xuejia
    Qian, Ping
    Chang, Jiahui
    Lu, Zhaoxu
    Guo, Jin
    Bao, Yihua
    Guan, Hongyan
    Zhang, Ting
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [42] Quantitative multi-omics analysis of the effects of mitochondrial dysfunction on lipid metabolism in Saccharomyces cerevisiae
    Guo, Xiaopeng
    Zhang, Miaomiao
    Gao, Yue
    Cao, Guozhen
    Lu, Dong
    Li, Wenjian
    APPLIED MICROBIOLOGY AND BIOTECHNOLOGY, 2020, 104 (03) : 1211 - 1226
  • [43] Multi-omics single-cell analysis
    Nicole Rusk
    Nature Methods, 2019, 16 : 679 - 679
  • [44] A Customizable Analysis Flow in Integrative Multi-Omics
    Lancaster, Samuel M.
    Sanghi, Akshay
    Wu, Si
    Snyder, Michael P.
    BIOMOLECULES, 2020, 10 (12) : 1 - 15
  • [45] Multi-omics analysis of Au@Pt nanozyme for the modulation of glucose and lipid metabolism
    Wang, Yanan
    Zhang, Qi
    Kan, Minrui
    Chang, Fei
    He, Xiaoyun
    Cheng, Nan
    Huang, Kunlun
    JOURNAL OF NANOBIOTECHNOLOGY, 2024, 22 (01)
  • [46] Intuitive Visualization and Analysis of Multi-Omics Data and Application to Escherichia coli Carbon Metabolism
    Enjalbert, Brice
    Jourdan, Fabien
    Portais, Jean-Charles
    PLOS ONE, 2011, 6 (06):
  • [47] Multi-omics analysis revealed the effect of leucine treatment on nucleic acid metabolism and its potential mechanism in postharvest broccoli
    Wang, Yunqiao
    Zhang, Yuxiao
    Guo, Yanyin
    Chen, Ying
    Sun, Yupeng
    Wang, Zhengli
    Guan, Lingxing
    Shang, Qingwen
    FOOD BIOSCIENCE, 2024, 59
  • [48] Advance in Multi-omics Research Strategies on Cholesterol Metabolism in Psoriasis
    Guo, Youming
    Luo, Lingling
    Zhu, Jing
    Li, Chengrang
    INFLAMMATION, 2024, 47 (03) : 839 - 852
  • [49] Integrating adipocyte insulin signaling and metabolism in the multi-omics era
    Calejman, C. Martinez
    Doxsey, W. G.
    Fazakerley, D. J.
    Guertin, D. A.
    TRENDS IN BIOCHEMICAL SCIENCES, 2022, 47 (06) : 531 - 546
  • [50] Multi-Omics Approaches and Radiation on Lipid Metabolism in Toothed Whales
    Senevirathna, Jayan D. M.
    Asakawa, Shuichi
    LIFE-BASEL, 2021, 11 (04):