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

Abstract Background Differentiated 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. Aim The 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 methods In 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. Results Normal 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. Discussion Altogether, 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. Conclusions Well‐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.

[1]  D. Hanahan Hallmarks of Cancer: New Dimensions. , 2022, Cancer discovery.

[2]  S. De,et al.  Drivers of dynamic intra-tumor heterogeneity and phenotypic plasticity. , 2021, American journal of physiology. Cell physiology.

[3]  T. Giordano,et al.  2021 American Thyroid Association Guidelines for Management of Patients with Anaplastic Thyroid Cancer. , 2021, Thyroid : official journal of the American Thyroid Association.

[4]  Matheus H. Dias,et al.  Autophagy buffers Ras-induced genotoxic stress enabling malignant transformation in keratinocytes primed by human papillomavirus , 2021, Cell Death & Disease.

[5]  A. Jemal,et al.  Cancer Statistics, 2021 , 2021, CA: a cancer journal for clinicians.

[6]  J. Rao,et al.  Effectiveness of Molecular Testing Techniques for Diagnosis of Indeterminate Thyroid Nodules: A Randomized Clinical Trial. , 2020, JAMA oncology.

[7]  Astrid Gall,et al.  Ensembl 2021 , 2020, Nucleic Acids Res..

[8]  S. De,et al.  Characteristics of mutational signatures of unknown etiology , 2020, NAR cancer.

[9]  A. Need,et al.  Mutational signature in colorectal cancer caused by genotoxic pks+E. coli , 2020, Nature.

[10]  J. Weinstein,et al.  Comprehensive molecular characterization of mitochondrial genomes in human cancers , 2020, Nature Genetics.

[11]  David S. Wishart,et al.  Using MetaboAnalyst 4.0 for Comprehensive and Integrative Metabolomics Data Analysis , 2019, Current protocols in bioinformatics.

[12]  M. Armanios,et al.  Long telomeres and cancer risk: the price of cellular immortality. , 2019, The Journal of clinical investigation.

[13]  S. De,et al.  Non-Genetic Intra-Tumor Heterogeneity Is a Major Predictor of Phenotypic Heterogeneity and Ongoing Evolutionary Dynamics in Lung Tumors , 2019, bioRxiv.

[14]  Stefan M. Pfister,et al.  TelomereHunter – in silico estimation of telomere content and composition from cancer genomes , 2019, BMC Bioinformatics.

[15]  S. Puig,et al.  Association of the POT1 Germline Missense Variant p.I78T With Familial Melanoma , 2019, JAMA dermatology.

[16]  B. Larijani,et al.  Oncometabolites as biomarkers in thyroid cancer: a systematic review , 2019, Cancer management and research.

[17]  Simion I. Chiosea,et al.  Performance of a Multigene Genomic Classifier in Thyroid Nodules With Indeterminate Cytology , 2018, JAMA oncology.

[18]  J. Flowers,et al.  Origins and geographic diversification of African rice (Oryza glaberrima) , 2018, bioRxiv.

[19]  J. Brito,et al.  Management of Low-Risk Papillary Thyroid Cancer , 2018, Endocrinology and metabolism.

[20]  Ville Mustonen,et al.  The repertoire of mutational signatures in human cancer , 2018, Nature.

[21]  Yankai Xia,et al.  Metabolic changes associated with papillary thyroid carcinoma: A nuclear magnetic resonance-based metabolomics study. , 2018, International journal of molecular medicine.

[22]  J. Hunt,et al.  Molecular markers in well-differentiated thyroid cancer , 2018, European Archives of Oto-Rhino-Laryngology.

[23]  L. Lerner,et al.  Gene Fusions in Thyroid Cancer. , 2017, Thyroid : official journal of the American Thyroid Association.

[24]  E. Cibas,et al.  The 2017 Bethesda System for Reporting Thyroid Cytopathology. , 2017, Journal of the American Society of Cytopathology.

[25]  V. Wreesmann,et al.  Aggressive differentiated thyroid cancer. , 2017, European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology.

[26]  Nuno A. Fonseca,et al.  Comprehensive molecular characterization of mitochondrial genomes in human cancers , 2017, bioRxiv.

[27]  O. Fiehn,et al.  Metabolite Measurement: Pitfalls to Avoid and Practices to Follow. , 2017, Annual Review of Biochemistry.

[28]  S. Devesa,et al.  Trends in Thyroid Cancer Incidence and Mortality in the United States, 1974-2013 , 2017, JAMA.

[29]  M. Ringel,et al.  Thyroid nodules and cancer management guidelines: comparisons and controversies. , 2017, Endocrine-related cancer.

[30]  J. Shah,et al.  Management of Invasive Differentiated Thyroid Cancer. , 2016, Thyroid : official journal of the American Thyroid Association.

[31]  Luca Scrucca,et al.  mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models , 2016, R J..

[32]  V. Seshan,et al.  FACETS: allele-specific copy number and clonal heterogeneity analysis tool for high-throughput DNA sequencing , 2016, Nucleic acids research.

[33]  Xiaoyu Chen,et al.  Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications , 2016, Bioinform..

[34]  Rupasri Mandal,et al.  Cancer Metabolomics and the Human Metabolome Database , 2016, Metabolites.

[35]  B. Taylor,et al.  deconstructSigs: delineating mutational processes in single tumors distinguishes DNA repair deficiencies and patterns of carcinoma evolution , 2016, Genome Biology.

[36]  A. Miyauchi,et al.  A Clinical Framework to Facilitate Risk Stratification When Considering an Active Surveillance Alternative to Immediate Biopsy and Surgery in Papillary Microcarcinoma. , 2016, Thyroid : official journal of the American Thyroid Association.

[37]  Ash A. Alizadeh,et al.  Abstract PR09: The prognostic landscape of genes and infiltrating immune cells across human cancers , 2015 .

[38]  Wei Jia,et al.  Distinct Metabolomic Profiles of Papillary Thyroid Carcinoma and Benign Thyroid Adenoma. , 2015, Journal of proteome research.

[39]  I. Ganly,et al.  Increasing diagnosis of subclinical thyroid cancers leads to spurious improvements in survival rates , 2015, Cancer.

[40]  N. McGranahan,et al.  Biological and therapeutic impact of intratumor heterogeneity in cancer evolution. , 2015, Cancer cell.

[41]  Steven J. M. Jones,et al.  Integrated Genomic Characterization of Papillary Thyroid Carcinoma , 2014, Cell.

[42]  Nicolas Stransky,et al.  The landscape of kinase fusions in cancer , 2014, Nature Communications.

[43]  Björn Usadel,et al.  Trimmomatic: a flexible trimmer for Illumina sequence data , 2014, Bioinform..

[44]  Louise Davies,et al.  Current thyroid cancer trends in the United States. , 2014, JAMA otolaryngology-- head & neck surgery.

[45]  V. Montori,et al.  Overdiagnosis of thyroid cancer and graves' disease. , 2014, Thyroid : official journal of the American Thyroid Association.

[46]  M. Santoro,et al.  Central role of RET in thyroid cancer. , 2013, Cold Spring Harbor perspectives in biology.

[47]  G. Getz,et al.  Inferring tumour purity and stromal and immune cell admixture from expression data , 2013, Nature Communications.

[48]  David T. W. Jones,et al.  Signatures of mutational processes in human cancer , 2013, Nature.

[49]  T. Tosteson,et al.  The increasing incidence of thyroid cancer: the influence of access to care. , 2013, Thyroid : official journal of the American Thyroid Association.

[50]  Heng Li Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM , 2013, 1303.3997.

[51]  M. Xing,et al.  Molecular pathogenesis and mechanisms of thyroid cancer , 2013, Nature Reviews Cancer.

[52]  Darya Chudova,et al.  Preoperative diagnosis of benign thyroid nodules with indeterminate cytology. , 2012, The New England journal of medicine.

[53]  Andrew L. Kung,et al.  A murine lung cancer co-clinical trial identifies genetic modifiers of therapeutic response , 2012, Nature.

[54]  Christopher A. Miller,et al.  VarScan 2: somatic mutation and copy number alteration discovery in cancer by exome sequencing. , 2012, Genome research.

[55]  Peiyuan Yin,et al.  Serum metabolic profiling and features of papillary thyroid carcinoma and nodular goiter. , 2011, Molecular bioSystems.

[56]  R. Seethala,et al.  Impact of mutational testing on the diagnosis and management of patients with cytologically indeterminate thyroid nodules: a prospective analysis of 1056 FNA samples. , 2011, The Journal of clinical endocrinology and metabolism.

[57]  Colin N. Dewey,et al.  RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome , 2011, BMC Bioinformatics.

[58]  Jianguo Xia,et al.  Web-based inference of biological patterns, functions and pathways from metabolomic data using MetaboAnalyst , 2011, Nature Protocols.

[59]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[60]  Juan Rosai,et al.  A large multicenter correlation study of thyroid nodule cytopathology and histopathology. , 2011, Thyroid : official journal of the American Thyroid Association.

[61]  J. O’Leary,et al.  BRAFV600E: Implications for Carcinogenesis and Molecular Therapy , 2011, Molecular Cancer Therapeutics.

[62]  Joshua D Rabinowitz,et al.  Metabolomic analysis and visualization engine for LC-MS data. , 2010, Analytical chemistry.

[63]  S. Mandel,et al.  2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer. , 2009, Thyroid : official journal of the American Thyroid Association.

[64]  Amy Y. Chen,et al.  Increasing incidence of differentiated thyroid cancer in the United States, 1988–2005 , 2009, Cancer.

[65]  R. Nayar,et al.  The indeterminate thyroid fine‐needle aspiration , 2009, Cancer.

[66]  S. Devesa,et al.  Rising Thyroid Cancer Incidence in the United States by Demographic and Tumor Characteristics, 1980-2005 , 2009, Cancer Epidemiology Biomarkers & Prevention.

[67]  S. Hall,et al.  Increased incidence of differentiated thyroid carcinoma and detection of subclinical disease , 2007, Canadian Medical Association Journal.

[68]  F. Stephens,et al.  New insights concerning the role of carnitine in the regulation of fuel metabolism in skeletal muscle , 2007, The Journal of physiology.

[69]  A. Chatterjee,et al.  Mitochondrial DNA mutations in human cancer , 2006, Oncogene.

[70]  Eric R. Ziegel,et al.  The Elements of Statistical Learning , 2003, Technometrics.

[71]  P. Ladenson,et al.  BRAF mutation in papillary thyroid carcinoma. , 2003, Journal of the National Cancer Institute.

[72]  E. Klar,et al.  Minimal residual disease in thyroid carcinoma. , 2001, Seminars in surgical oncology.

[73]  Adrian E. Raftery,et al.  MCLUST: Software for Model-Based Cluster Analysis , 1999 .

[74]  J H Lubin,et al.  Thyroid cancer after exposure to external radiation: a pooled analysis of seven studies. , 1995, Radiation research.

[75]  G. Stuart,et al.  Cytopathology , 2014, Modern Pathology.

[76]  Thomas R. Gingeras,et al.  STAR: ultrafast universal RNA-seq aligner , 2013, Bioinform..

[77]  Y. Nikiforov,et al.  American Thyroid Association guidelines for management of patients with anaplastic thyroid cancer. , 2012, Thyroid : official journal of the American Thyroid Association.

[78]  S. Raab The Indeterminate Thyroid Fine-Needle Aspiration: Experience From an Academic Center Using Terminology Similar to That Proposed in the 2007 National Cancer Institute Thyroid Fine Needle Aspiration State of the Science Conference , 2010 .

[79]  Claude-Alain H. Roten,et al.  Fast and accurate short read alignment with Burrows–Wheeler transform , 2009, Bioinform..

[80]  F. Levi,et al.  Cancer incidence in five continents, vol. VI , 1993 .

[81]  P DESAIVE,et al.  [Thyroid cancer]. , 1951, Revue medicale de Liege.