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Parathyroid Carcinoma and Adenoma Co-existing in One Patient: Case Report and Comparative Proteomic Analysis
- Source :
- Cancer Genomics Proteomics
- Publication Year :
- 2021
- Publisher :
- Anticancer Research USA Inc., 2021.
-
Abstract
- Background/aim The lack of specific parathyroid carcinoma (PC) biomarkers in clinical practice points out the importance of analyzing the proteomic signature of this cancer. We performed a comparative proteomic analysis of PC and parathyroid adenoma (PA) co-existing in the same patient. Patients and methods PC and PA were taken from a 63-year-old patient. Using two-dimensional differential gel electrophoresis (2D-DIGE) coupled to mass spectrometry we examined the differences between PC and PA proteins. For validation, additional PC and PA samples were obtained from 10 patients. Western blot analysis was used to validate the difference of expression observed with 2D-DIGE analysis. Bioinfomatic analysis was performed using QIAGEN's Ingenuity Pathways Analysis (IPA) to determine the predominant canonical pathways and interaction networks involved. Results Thirty-three differentially expressed proteins were identified in PC compared to PA. Among these, ubiquitin C-terminal hydrolase-L1 (UCH-L1) was highly overexpressed in PC. The result was confirmed by Western Blot analysis in additional PC samples. Conclusion Our comparative proteomic analysis of co-existing neoplasms allowed detecting specific and peculiar differences between PC and PA overcoming population biological variability.
- Subjects :
- Adenoma
Male
Proteomics
Cancer Research
Population
2D-DIGE
biomarkers
case report
parathyroid adenoma
Parathyroid carcinoma
proteomics
Biochemistry
Western blot
Genetics
medicine
Humans
education
Molecular Biology
Parathyroid adenoma
Gel electrophoresis
education.field_of_study
medicine.diagnostic_test
business.industry
Cancer
Middle Aged
medicine.disease
Molecular biology
Parathyroid Neoplasms
business
Research Article
Subjects
Details
- ISSN :
- 17906245 and 11096535
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- Cancer Genomics - Proteomics
- Accession number :
- edsair.doi.dedup.....33086200adeb38041e1eccdc119a436e