scholarly journals The Potential of Metabolomics in the Diagnosis of Thyroid Cancer

2020 ◽  
Vol 21 (15) ◽  
pp. 5272
Author(s):  
Margarida Coelho ◽  
Luis Raposo ◽  
Brian J. Goodfellow ◽  
Luigi Atzori ◽  
John Jones ◽  
...  

Thyroid cancer is the most common endocrine system malignancy. However, there is still a lack of reliable and specific markers for the detection and staging of this disease. Fine needle aspiration biopsy is the current gold standard for diagnosis of thyroid cancer, but drawbacks to this technique include indeterminate results or an inability to discriminate different carcinomas, thereby requiring additional surgical procedures to obtain a final diagnosis. It is, therefore, necessary to seek more reliable markers to complement and improve current methods. “Omics” approaches have gained much attention in the last decade in the field of biomarker discovery for diagnostic and prognostic characterisation of various pathophysiological conditions. Metabolomics, in particular, has the potential to identify molecular markers of thyroid cancer and identify novel metabolic profiles of the disease, which can, in turn, help in the classification of pathological conditions and lead to a more personalised therapy, assisting in the diagnosis and in the prediction of cancer behaviour. This review considers the current results in thyroid cancer biomarker research with a focus on metabolomics.

2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
Luca Giovanella ◽  
Luca Ceriani ◽  
Sergio Suriano

Aim. Enlarged cervical lymph nodes (LNs) in patients with thyroid cancer are usually assessed by fine-needle aspiration cytology (FNAC). Thyroglobulin (Tg) is frequently elevated in malignant FNAC needle wash specimens (FNAC-Tg). The objectives of the study were to (1) determine an appropriate diagnostic cut-off for FNAC-Tg levels (2) compare FNAC and FNAC-Tg results in a group of 108 patients affected by differentiated thyroid carcinoma (DTC).Methods. A total of 126 consecutive FNACs were performed on enlarged LNs and the final diagnosis was confirmed by surgical pathology examination or clinical follow-up. The best FNAC-Tg cut-off level was selected by receiver operating curve analysis, and diagnostic performances of FNAC and FNAC-Tg were compared.Results. The rate of FNAC samples adequate for cytological examination was 77% in contrast FNAC-Tg available in 100% of aspirates (). The sensitivity, specificity, and accuracy of FNAC were 71%, 80%, 74%, 100%, 80%, and 94%, respectively. The most appropriate cut-off value for the diagnosis of thyroid cancer metastatic LN was 1.1 ng/mL (sensitivity 100%, specificity 100%).Conclusions. The diagnostic performance of needle washout FNAC-Tg measurement with a cut-off of 1.1 ng/mL compared favorably with cytology in detecting DTC node metastases.


2019 ◽  
Vol 91 (10) ◽  
pp. 119-123
Author(s):  
M O Rogova ◽  
S V Novosad ◽  
N S Martirosian ◽  
L V Trukhina ◽  
N A Petunina

Thyroid cancer is the most common malignant tumor of the endocrine system. An increase in the incidence of thyroid cancer has been noted over the past decade, mainly due to papillary cancer. The influence of environmental factors, increased availability of medical care, including sensitive diagnostic tests, such as ultrasound and fine - needle aspiration (FNA), can affect the fact of the growth of this incidence. Palpation of thyroid gland has very low diagnostic value for detecting thyroid cancer, while thyroid ultrasound and FNA can detect malignant tumors in 20% of cases. Today, the FNA is the fastest, most accurate, economically accessible, and quite safe method for cytological diagnosis of the thyroid nodules. And molecular genetic testing of FNA samples could serve as an additional reliable diagnostic tool in the case of atypia of undetermined significance.


1984 ◽  
Vol 104 (4_Supplc) ◽  
pp. S50-S51 ◽  
Author(s):  
P. Harsoulis ◽  
A. Ekonomou ◽  
M. Leontsini ◽  
E. Efthimiou ◽  
T. Gerasimidis ◽  
...  

Cancer ◽  
1987 ◽  
Vol 59 (6) ◽  
pp. 1206-1209 ◽  
Author(s):  
Federico Hawkins ◽  
Diego Bellido ◽  
Carmen Bernal ◽  
Demetra Rigopoulou ◽  
Maria Pilar Ruiz Valdepeñas ◽  
...  

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