| Title |
Prognostic biomarkers in thyroid cancer
|
|---|---|
| Published in |
Virchows Archiv, February 2014
|
| DOI | 10.1007/s00428-013-1521-2 |
| Pubmed ID | |
| Authors |
Paula Soares, Ricardo Celestino, Miguel Melo, Elsa Fonseca, Manuel Sobrinho-Simões |
| Abstract |
Thyroid carcinomas represent a challenging problem from the prognostic standpoint. Despite an overall good prognosis of the most frequent endocrine malignancy, 10-15 % of papillary thyroid carcinomas (PTCs) turn refractory to radioactive iodine therapy. The increased incidence of thyroid cancer has led to the search for solid prognostic biomarkers that predict the behaviour of these tumours. Clinical and histopathological prognostic factors remain the only safe elements to be used for diagnosis and prognosis of patients with thyroid tumours. Despite the huge amount of genetic information of thyroid tumours, very few new markers revealed diagnostic or prognostic value per se. BRAF mutation can have some value if associated to other clinico-pathological parameters, or in the particular setting of iodine refractory tumours. Others can prove interesting in the future as predictive biomarkers of therapeutic response, but more studies are needed to confirm these potential biomarkers. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| Colombia | 1 | 2% |
| Portugal | 1 | 2% |
| Unknown | 63 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 18% |
| Student > Master | 11 | 17% |
| Student > Postgraduate | 8 | 12% |
| Student > Bachelor | 5 | 8% |
| Student > Ph. D. Student | 5 | 8% |
| Other | 13 | 20% |
| Unknown | 12 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 39% |
| Biochemistry, Genetics and Molecular Biology | 15 | 23% |
| Agricultural and Biological Sciences | 5 | 8% |
| Engineering | 2 | 3% |
| Nursing and Health Professions | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 15 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 April 2014.
All research outputs
#13,401,381
of 22,743,667 outputs
Outputs from Virchows Archiv
#1,027
of 1,940 outputs
Outputs of similar age
#162,357
of 307,251 outputs
Outputs of similar age from Virchows Archiv
#14
of 34 outputs
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