Literature DB >> 27172385

Proteomic analysis of fine-needle aspiration in differential diagnosis of thyroid nodules.

Federica Ciregia1, Laura Giusti2, Angelo Molinaro3, Filippo Niccolai3, Maria R Mazzoni1, Teresa Rago3, Massimo Tonacchera3, Paolo Vitti3, Gino Giannaccini1, Antonio Lucacchini1.   

Abstract

Thyroid nodules are common in the general population and vary widely in their propensity to harbor thyroid malignancies. The category of follicular lesion of undetermined significance, for instance, carries only a 15% risk of malignancy. The overarching aim of this work was the proteomic study of thyroid cancer because more effort needs to be placed on differentiating malignant thyroid nodules to avoid unnecessary thyroidectomy. We used 2-dimensional electrophoresis coupled to nano-liquid chromatography electrospray ionization tandem mass spectrometry, to examine fine-needle aspiration (FNA), which was easily attainable from the wash of the syringe used for classical FNA biopsy. Overall, we found 25 different proteins able to discriminate benign from malignant samples. The different expression of moesin; annexin A1 (ANXA1); cornulin (CRNN); lactate dehydrogenase; enolase; protein DJ-1; and superoxide dismutase was confirmed in FNA by enzyme-linked immunosorbent assay or Western blot. Receiver operating characteristic curves were calculated to investigate the discriminative power of our marker. The best performance in diagnosis was obtained by combining ANXA1, enolase, protein DJ-1, superoxide dismutase, and CRNN. In addition, the most highly ranked proteins, from the perspective of follicular lesion of undetermined significance, were ANXA1 and CRNN. The research of these candidate biomarkers has then been widened to other biological fluids, such as serum and whole saliva. In conclusion, we believe that when a decision by a thyroid nodule biopsy cannot be distinctly made, the combination of our biomarkers may be one of the criteria to be taken into account for the final decision, together with the identification of ANXA1 in serum and saliva.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27172385     DOI: 10.1016/j.trsl.2016.04.004

Source DB:  PubMed          Journal:  Transl Res        ISSN: 1878-1810            Impact factor:   7.012


  7 in total

Review 1.  Prognostic utility of the ovarian cancer secretome: a systematic investigation.

Authors:  Pradnya R Kamble; Apoorva Pawar; Ananya A Breed; Grishma Kasle; Bhakti R Pathak
Journal:  Arch Gynecol Obstet       Date:  2022-01-27       Impact factor: 2.493

2.  Parathyroid Carcinoma and Adenoma Co-existing in One Patient: Case Report and Comparative Proteomic Analysis.

Authors:  Federica Ciregia; Filomena Cetani; Elena Pardi; Alessio Soggiu; Cristian Piras; Lorenzo Zallocco; Simona Borsari; Maurizio Ronci; Vanni Caruso; Claudio Marcocci; Maria Rosa Mazzoni; Antonio Lucacchini; Laura Giusti
Journal:  Cancer Genomics Proteomics       Date:  2021 Nov-Dec       Impact factor: 4.069

Review 3.  Novel Insights into PARK7 (DJ-1), a Potential Anti-Cancer Therapeutic Target, and Implications for Cancer Progression.

Authors:  Wook Jin
Journal:  J Clin Med       Date:  2020-04-26       Impact factor: 4.241

4.  Single-Cell RNA Sequencing Revealed a 3-Gene Panel Predicted the Diagnosis and Prognosis of Thyroid Papillary Carcinoma and Associated With Tumor Immune Microenvironment.

Authors:  Zuoyu Chen; Yizeng Wang; Dongyang Li; Yuting Le; Yue Han; Lanning Jia; Caigu Yan; Zhigang Tian; Wenbin Song; Fuxin Li; Ke Zhao; Xianghui He
Journal:  Front Oncol       Date:  2022-03-11       Impact factor: 6.244

5.  Proteotypic Differences of Follicular-Patterned Thyroid Neoplasms.

Authors:  Dongdong Huang; Huifang Zhang; Lu Li; Weigang Ge; Wei Liu; Zhen Dong; Jinlong Gao; Nan Yao; Wenxin Fu; Lingling Huang; Tiannan Guo; Yaoting Sun; Xiaodong Teng
Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-06       Impact factor: 6.055

6.  Proteomic profiling of thyroid tissue in patients with obesity and benign diffuse goiter.

Authors:  Hicham Benabdelkamel; Mohamed Rafiullah; Afshan Masood; Abdulaziz Alsaif; Mohthash Musambil; Assim A Alfadda
Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-28       Impact factor: 6.055

7.  Artificial intelligence defines protein-based classification of thyroid nodules.

Authors:  Yaoting Sun; Sathiyamoorthy Selvarajan; Zelin Zang; Wei Liu; Yi Zhu; Hao Zhang; Wanyuan Chen; Hao Chen; Lu Li; Xue Cai; Huanhuan Gao; Zhicheng Wu; Yongfu Zhao; Lirong Chen; Xiaodong Teng; Sangeeta Mantoo; Tony Kiat-Hon Lim; Bhuvaneswari Hariraman; Serene Yeow; Syed Muhammad Fahmy Alkaff; Sze Sing Lee; Guan Ruan; Qiushi Zhang; Tiansheng Zhu; Yifan Hu; Zhen Dong; Weigang Ge; Qi Xiao; Weibin Wang; Guangzhi Wang; Junhong Xiao; Yi He; Zhihong Wang; Wei Sun; Yuan Qin; Jiang Zhu; Xu Zheng; Linyan Wang; Xi Zheng; Kailun Xu; Yingkuan Shao; Shu Zheng; Kexin Liu; Ruedi Aebersold; Haixia Guan; Xiaohong Wu; Dingcun Luo; Wen Tian; Stan Ziqing Li; Oi Lian Kon; Narayanan Gopalakrishna Iyer; Tiannan Guo
Journal:  Cell Discov       Date:  2022-09-06       Impact factor: 38.079

  7 in total

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