Title |
Clusterin transcript variants expression in thyroid tumor: a potential marker of malignancy?
|
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Published in |
BMC Cancer, May 2015
|
DOI | 10.1186/s12885-015-1348-0 |
Pubmed ID | |
Authors |
Paolo Fuzio, Anna Napoli, Anna Ciampolillo, Serafina Lattarulo, Angela Pezzolla, Nicoletta Nuzziello, Sabino Liuni, Francesco Giorgino, Eugenio Maiorano, Elda Perlino |
Abstract |
Clusterin (CLU) is a ubiquitous multifunctional factor involved in neoplastic transformation. The CLU transcript variants and protein forms play a crucial role in balancing cells proliferation and death. We investigated the regulation of CLU transcript variants expression in an in vivo model system consisting of both neoplastic tissues and fine needle aspiration biopsy (FNAB) samples isolated from patients undergoing thyroidectomy. The immunohistochemical analyses showed an overall CLU up-regulation in papillary carcinoma. A specific CLU2 transcript variant increase was registered using qPCR in papillary carcinomas while CLU1 decreased. In addition, the analysis of CLU transcripts expression level showed an increase of the CLU2 transcript in the TIR 3 patients with histologically confirmed thyroid cancer. Our results suggest the existence of a specific alteration of CLU2:CLU1 ratio towards CLU2, thus providing the first circumstantial evidence for the potential use of CLU transcript variants as effective biomarkers for a more accurate assessment of the so called "indeterminate" thyroid nodules. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 6 | 26% |
Student > Ph. D. Student | 4 | 17% |
Student > Doctoral Student | 3 | 13% |
Researcher | 2 | 9% |
Lecturer | 1 | 4% |
Other | 5 | 22% |
Unknown | 2 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 7 | 30% |
Medicine and Dentistry | 3 | 13% |
Nursing and Health Professions | 2 | 9% |
Agricultural and Biological Sciences | 2 | 9% |
Unspecified | 1 | 4% |
Other | 1 | 4% |
Unknown | 7 | 30% |