Integrative Multi-omics Analysis Reveals Different Metabolic Phenotypes Based on Molecular Characteristics in Thyroid Cancer

被引:5
|
作者
Kim, Yoo Hyung [1 ]
Yoon, Sang Jun [2 ]
Kim, Mina [2 ]
Kim, Hwan Hee [1 ]
Song, Young Shin [3 ]
Jung, Jin Woo [4 ]
Han, Dohyun [4 ,5 ]
Cho, Sun Wook [1 ]
Kwon, Sung Won [2 ,10 ]
Park, Young Joo [1 ,6 ,7 ,8 ,9 ]
机构
[1] Seoul Natl Univ Hosp, Dept Internal Med, Seoul, South Korea
[2] Seoul Natl Univ, Coll Pharm, Dept Pharm, Seoul, South Korea
[3] Seoul Metropolitan Govt Boramae Med Ctr, Dept Internal Med, Seoul, South Korea
[4] Seoul Natl Univ Hosp, Biomed Res Inst, Proteom Core Facil, Seoul, South Korea
[5] Seoul Natl Univ Hosp, Transdisciplinary Dept Med & Adv Technol, Seoul, South Korea
[6] Seoul Natl Univ, Coll Med, Med Res Ctr, Dept Internal Med, Seoul, South Korea
[7] Seoul Natl Univ, Genom Med Inst, Coll Med, Med Res Ctr, Seoul, South Korea
[8] Seoul Natl Univ, Grad Sch Convergence Sci & Technol, Dept Mol Med & Biopharmaceut Sci, Seoul 08826, South Korea
[9] Seoul Natl Univ, Coll Med, 101 Daehak Ro, Seoul 03080, South Korea
[10] Seoul Natl Univ, Coll Pharm, 1 Gwanak Ro, Seoul 08826, South Korea
基金
新加坡国家研究基金会;
关键词
AMINO-ACID-METABOLISM; EXPRESSION; SERINE; CARCINOMA; GENE;
D O I
10.1158/1078-0432.CCR-23-2025
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: Thyroid cancer metabolic characteristics vary depending on the molecular subtype determined by mutational status. We aimed to investigate the molecular subtype-specific metabolic characteristics of thyroid cancers.Experimental Design: An integrative multi-omics analysis was conducted, incorporating transcriptomics, metabolomics, and proteomics data obtained from human tissues representing distinct molecular characteristics of thyroid cancers: BRAF-like (papillary thyroid cancer with BRAFV600E mutation; PTC-B), RAS-like (follicular thyroid cancer with RAS mutation; FTC-R), and ATC-like (anaplastic thyroid cancer with BRAFV600E or RAS mutation; ATC-B or ATC-R). To validate our findings, we employed tissue microarray of human thyroid cancer tissues and performed in vitro analyses of cancer cell phenotypes and metabolomic assays after inducing genetic knockdown.Results: Metabolic properties differed between differentiated thyroid cancers of PTC-B and FTC-R, but were similar in dedifferentiated thyroid cancers of ATC-B/R, regardless of their mutational status. Tricarboxylic acid (TCA) intermediates and branched-chain amino acids (BCAA) were enriched with the activation of TCA cycle only in FTC-R, whereas one-carbon metabolism and pyrimidine metabolism increased in both PTC-B and FTC-R and to a great extent in ATC-B/R. However, the protein expression levels of the BCAA transporter (SLC7A5) and a key enzyme in one-carbon metabolism (SHMT2) increased in all thyroid cancers and were particularly high in ATC-B/R. Knockdown of SLC7A5 or SHMT2 inhibited the migration and proliferation of thyroid cancer cell lines differently, depending on the mutational status.Conclusions: These findings define the metabolic properties of each molecular subtype of thyroid cancers and identify metabolic vulnerabilities, providing a rationale for therapies targeting its altered metabolic pathways in advanced thyroid cancer.
引用
收藏
页码:883 / 894
页数:12
相关论文
共 50 条
  • [41] Integrative analysis of multi-omics data for liquid biopsy
    Chen, Geng
    Zhang, Jing
    Fu, Qiaoting
    Taly, Valerie
    Tan, Fei
    BRITISH JOURNAL OF CANCER, 2023, 128 (04) : 702 - 702
  • [42] An integrative imputation method based on multi-omics datasets
    Dongdong Lin
    Jigang Zhang
    Jingyao Li
    Chao Xu
    Hong-Wen Deng
    Yu-Ping Wang
    BMC Bioinformatics, 17
  • [43] Integrative multi-omics analysis of intestinal organoid differentiation
    Lindeboom, Rik G. H.
    van Voorthuijsen, Lisa
    Oost, Koen C.
    Rodriguez-Colman, Maria J.
    Luna-Velez, Maria V.
    Furlan, Cristina
    Baraille, Floriane
    Jansen, Pascal W. T. C.
    Ribeiro, Agnes
    Burgering, Boudewijn M. T.
    Snippert, Hugo J.
    Vermeulen, Michiel
    MOLECULAR SYSTEMS BIOLOGY, 2018, 14 (06)
  • [44] An integrative imputation method based on multi-omics datasets
    Lin, Dongdong
    Zhang, Jigang
    Li, Jingyao
    Xu, Chao
    Deng, Hong-Wen
    Wang, Yu-Ping
    BMC BIOINFORMATICS, 2016, 17
  • [45] Multi-omics profiling reveals metabolic heterogeneity of triple-negative breast cancer
    Gong, Y.
    Ji, P.
    Yu, T. -J.
    Hu, X.
    Jiang, Y. -Z.
    Shao, Z. -M.
    BREAST, 2019, 44 : S128 - S128
  • [46] Molecular Neurobiology of Enrichment Loss: Multi-Omics Analysis Reveals a Role of Microglia
    Smail, Marissa
    Smith, Brittany
    Shukla, Rammohan
    Reigle, James
    Alganem, Khaled
    Herman, James
    McCullumsmith, Robert
    NEUROPSYCHOPHARMACOLOGY, 2020, 45 (SUPPL 1) : 306 - 307
  • [47] MULTI-OMICS ANALYSIS REVEALS MOLECULAR SUBTYPES OF PRIMARY GASTROINTESTINAL STROMAL TUMORS
    Ding, Yuqi
    Xie, Wenxuan
    Xie, Yubin
    Zhang, Xinhua
    GASTROENTEROLOGY, 2024, 166 (05) : S765 - S766
  • [48] Integrative multi-omics analysis reveals a novel subtype of hepatocellular carcinoma with biological and clinical relevance
    Li, Shizhou
    Lin, Yan
    Gao, Xing
    Zeng, Dandan
    Cen, Weijie
    Su, Yuejiao
    Su, Jingting
    Zeng, Can
    Huang, Zhenbo
    Zeng, Haoyu
    Huang, Shilin
    Tang, Minchao
    Li, Xiaoqing
    Luo, Min
    Huang, Zhihu
    Liang, Rong
    Ye, Jiazhou
    FRONTIERS IN IMMUNOLOGY, 2024, 15
  • [49] Integrative multi-omics analysis reveals the contribution of neoVTX genes to venom diversity of Synanceia verrucosa
    Zhang, Zhiwei
    Li, Qian
    Li, Hao
    Wei, Shichao
    Yu, Wen
    Peng, Zhaojie
    Wei, Fuwen
    Zhou, Wenliang
    BMC GENOMICS, 2024, 25 (01):
  • [50] Integrative analysis of the multi-omics reveals the stripe rust fungus resistance mechanism of the TaPAL in wheat
    Liu, Rong
    Lv, Xue
    Wang, Xiaohua
    Yang, Li
    Cao, Jun
    Dai, Ya
    Wu, Wang
    Wu, Yu
    FRONTIERS IN PLANT SCIENCE, 2023, 14