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

Author:

Cararo Lopes Eduardo12ORCID,Sawant Akshada1,Moore Dirk13,Ke Hua1,Shi Fuqian1,Laddha Saurabh1,Chen Ying1,Sharma Anchal1,Naumann Jake1,Guo Jessie Yanxiang145,Gomez Maria1,Ibrahim Maria1,Smith Tracey L.67,Riedlinger Gregory M.1,Lattime Edmund C.18,Trooskin Stanley8,Ganesan Shridar14,Su Xiaoyang14,Pasqualini Renata67,Arap Wadih69,De Subhajyoti1,Chan Chang S.14,White Eileen1210

Affiliation:

1. Rutgers Cancer Institute of New Jersey New Brunswick New Jersey USA

2. Department of Molecular Biology and Biochemistry Rutgers University Piscataway New Jersey USA

3. Department of Biostatistics and Epidemiology Rutgers School of Public Health Piscataway New Jersey USA

4. Department of Medicine Robert Wood Johnson Medical School Rutgers University New Brunswick New Jersey USA

5. Department of Chemical Biology Rutgers Ernest Mario School of Pharmacy Piscataway New Jersey USA

6. Rutgers Cancer Institute of New Jersey Newark New Jersey USA

7. Division of Cancer Biology Department of Radiation Oncology Rutgers New Jersey Medical School Newark New Jersey USA

8. Department of Surgery, Robert Wood Johnson Medical School Rutgers University New Brunswick New Jersey USA

9. Division of Hematology/Oncology Department of Medicine Rutgers New Jersey Medical School Newark New Jersey USA

10. Ludwig Princeton Branch, Ludwig Institute for Cancer Research Princeton University Princeton New Jersey USA

Abstract

AbstractBackgroundDifferentiated 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.

Funder

Robert Wood Johnson Foundation

Rutgers Cancer Institute of New Jersey

National Institutes of Health

Publisher

Wiley

Subject

Molecular Medicine,Medicine (miscellaneous)

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