Integrated metabolic and genetic analysis reveals distinct features of human differentiated thyroid cancer

被引:11
作者
Lopes, Eduardo Cararo [1 ,2 ]
Sawant, Akshada [1 ]
Moore, Dirk [1 ,3 ]
Ke, Hua [1 ]
Shi, Fuqian [1 ]
Laddha, Saurabh [1 ]
Chen, Ying [1 ]
Sharma, Anchal [1 ]
Naumann, Jake [1 ]
Guo, Jessie Yanxiang [1 ,4 ,5 ]
Gomez, Maria [1 ]
Ibrahim, Maria [1 ]
Smith, Tracey L. [6 ,7 ]
Riedlinger, Gregory M. [1 ]
Lattime, Edmund C. [1 ,8 ]
Trooskin, Stanley [8 ]
Ganesan, Shridar [1 ,4 ]
Su, Xiaoyang [1 ,4 ]
Pasqualini, Renata [6 ,7 ]
Arap, Wadih [6 ,9 ]
De, Subhajyoti [1 ]
Chan, Chang S. [1 ,4 ]
White, Eileen [1 ,2 ,10 ]
机构
[1] Rutgers Canc Inst New Jersey, New Brunswick, NJ USA
[2] Rutgers State Univ, Dept Mol Biol & Biochem, Piscataway, NJ USA
[3] Rutgers Sch Publ Hlth, Dept Biostat & Epidemiol, Piscataway, NJ USA
[4] Rutgers State Univ, Robert Wood Johnson Med Sch, Dept Med, New Brunswick, NJ USA
[5] Rutgers Ernest Mario Sch Pharm, Dept Chem Biol, Piscataway, NJ USA
[6] Rutgers Canc Inst New Jersey, Newark, NJ USA
[7] Rutgers New Jersey Med Sch, Dept Radiat Oncol, Div Canc Biol, Newark, NJ USA
[8] Rutgers State Univ, Robert Wood Johnson Med Sch, Dept Surg, New Brunswick, NJ USA
[9] Rutgers New Jersey Med Sch, Dept Med, Div Hematol Oncol, Newark, NJ USA
[10] Princeton Univ, Ludwig Inst Canc Res, Ludwig Princeton Branch, Princeton, NJ USA
来源
CLINICAL AND TRANSLATIONAL MEDICINE | 2023年 / 13卷 / 06期
关键词
intra-tumour heterogeneity; metabolism; metastases; thyroid cancer; UNITED-STATES; INTRATUMOR HETEROGENEITY; ASSOCIATION GUIDELINES; MANAGEMENT GUIDELINES; CARCINOMA; NODULES; DIAGNOSIS; SIGNATURES; LANDSCAPE; FUSIONS;
D O I
10.1002/ctm2.1298
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundDifferentiated thyroid cancer (DTC) affects thousands of lives worldwide each year. Typically, DTC is a treatable disease with a good prognosis. Yet, some patients are subjected to partial or total thyroidectomy and radioiodine therapy to prevent local disease recurrence and metastasis. Unfortunately, thyroidectomy and/or radioiodine therapy often worsen(s) quality of life and might be unnecessary in indolent DTC cases. On the other hand, the lack of biomarkers indicating a potential metastatic thyroid cancer imposes an additional challenge to managing and treating patients with this disease. AimThe presented clinical setting highlights the unmet need for a precise molecular diagnosis of DTC and potential metastatic disease, which should dictate appropriate therapy. Materials and methodsIn this article, we present a differential multi-omics model approach, including metabolomics, genomics, and bioinformatic models, to distinguish normal glands from thyroid tumours. Additionally, we are proposing biomarkers that could indicate potential metastatic diseases in papillary thyroid cancer (PTC), a sub-class of DTC. ResultsNormal and tumour thyroid tissue from DTC patients had a distinct yet well-defined metabolic profile with high levels of anabolic metabolites and/or other metabolites associated with the energy maintenance of tumour cells. The consistency of the DTC metabolic profile allowed us to build a bioinformatic classification model capable of clearly distinguishing normal from tumor thyroid tissues, which might help diagnose thyroid cancer. Moreover, based on PTC patient samples, our data suggest that elevated nuclear and mitochondrial DNA mutational burden, intra-tumour heterogeneity, shortened telomere length, and altered metabolic profile reflect the potential for metastatic disease. DiscussionAltogether, this work indicates that a differential and integrated multi-omics approach might improve DTC management, perhaps preventing unnecessary thyroid gland removal and/or radioiodine therapy. ConclusionsWell-designed, prospective translational clinical trials will ultimately show the value of this integrated multi-omics approach and early diagnosis of DTC and potential metastatic PTC.
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页数:19
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共 78 条
  • [71] Web-based inference of biological patterns, functions and pathways from metabolomic data using MetaboAnalyst
    Xia, Jianguo
    Wishart, David S.
    [J]. NATURE PROTOCOLS, 2011, 6 (06) : 743 - 760
  • [72] Molecular pathogenesis and mechanisms of thyroid cancer
    Xing, Mingzhao
    [J]. NATURE REVIEWS CANCER, 2013, 13 (03) : 184 - 199
  • [73] Distinct Metabolomic Profiles of Papillary Thyroid Carcinoma and Benign Thyroid Adenoma
    Xu, Yanan
    Zheng, Xiaojiao
    Qiu, Yunping
    Jia, Wei
    Wang, Jiadong
    Yin, Shankai
    [J]. JOURNAL OF PROTEOME RESEARCH, 2015, 14 (08) : 3315 - 3321
  • [74] Gene Fusions in Thyroid Cancer
    Yakushina, Valentina D.
    Lerner, Larisa V.
    Lavrov, Alexander V.
    [J]. THYROID, 2018, 28 (02) : 158 - 167
  • [75] Population-Based Study Evaluating and Predicting the Probability of Death Resulting From Thyroid Cancer and Other Causes Among Patients With Thyroid Cancer
    Yang, Limin
    Shen, Weidong
    Sakamoto, Naoko
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2013, 31 (04) : 468 - 474
  • [76] Serum metabolic profiling and features of papillary thyroid carcinoma and nodular goiter
    Yao, Zhenzhen
    Yin, Peiyuan
    Su, Dongwei
    Peng, Zhijun
    Zhou, Lina
    Ma, Long
    Guo, Wei
    Ma, Lie
    Xu, Guowang
    Shi, Junyi
    Jiao, Binhua
    [J]. MOLECULAR BIOSYSTEMS, 2011, 7 (09) : 2608 - 2614
  • [77] Inferring tumour purity and stromal and immune cell admixture from expression data
    Yoshihara, Kosuke
    Shahmoradgoli, Maria
    Martinez, Emmanuel
    Vegesna, Rahulsimham
    Kim, Hoon
    Torres-Garcia, Wandaliz
    Trevino, Victor
    Shen, Hui
    Laird, Peter W.
    Levine, Douglas A.
    Carter, Scott L.
    Getz, Gad
    Stemke-Hale, Katherine
    Mills, Gordon B.
    Verhaak, Roel G. W.
    [J]. NATURE COMMUNICATIONS, 2013, 4
  • [78] Yuan Y., 2017, bioRxiv, DOI DOI 10.1101/161356