scholarly journals Molecular classification of papillary thyroid carcinoma: distinct BRAF, RAS, and RET/PTC mutation-specific gene expression profiles discovered by DNA microarray analysis

Oncogene ◽  
2005 ◽  
Vol 24 (44) ◽  
pp. 6646-6656 ◽  
Author(s):  
Thomas J Giordano ◽  
Rork Kuick ◽  
Dafydd G Thomas ◽  
David E Misek ◽  
Michelle Vinco ◽  
...  
Keyword(s):  
Gene Expression ◽  
Papillary Thyroid Carcinoma ◽  
Thyroid Carcinoma ◽  
Dna Microarray ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Molecular Classification ◽  
Specific Gene ◽  
Papillary Thyroid

scholarly journals Organ-Specific Molecular Classification of Primary Lung, Colon, and Ovarian Adenocarcinomas Using Gene Expression Profiles

2001 ◽  
Vol 159 (4) ◽  
pp. 1231-1238 ◽  
Author(s):  
Thomas J. Giordano ◽  
Kerby A. Shedden ◽  
Donald R. Schwartz ◽  
Rork Kuick ◽  
Jeremy M.G. Taylor ◽  
...  
Keyword(s):  
Gene Expression ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Molecular Classification ◽  
Organ Specific ◽  
Ovarian Adenocarcinomas

scholarly journals MicroRNA-based molecular classification of papillary thyroid carcinoma

2017 ◽  
Vol 50 (5) ◽  
pp. 1767-1777 ◽  
Author(s):  
Francesca Rosignolo ◽  
Lorenzo Memeo ◽  
Fabio Monzani ◽  
Cristina Colarossi ◽  
Valeria Pecce ◽  
...  
Keyword(s):  
Papillary Thyroid Carcinoma ◽  
Thyroid Carcinoma ◽  
Molecular Classification ◽  
Papillary Thyroid

scholarly journals Gene Expression Patterns Unveil New Insights in Papillary Thyroid Cancer

Medicina ◽  
2019 ◽  
Vol 55 (8) ◽  
pp. 500 ◽  
Author(s):  
Saftencu ◽  
Braicu ◽  
Cojocneanu ◽  
Buse ◽  
Irimie ◽  
...  
Keyword(s):  
Gene Expression ◽  
Papillary Thyroid Carcinoma ◽  
Thyroid Carcinoma ◽  
Clinical Relevance ◽  
Expression Patterns ◽  
Gene Expression Signature ◽  
Specific Gene ◽  
Endocrine Tumors ◽  
Papillary Thyroid ◽  
Data Set

Background and objectives: Papillary thyroid carcinoma is the most frequent variety of all malignant endocrine tumors. It represents a heterogeneous malignancy with various clinical outcomes, emphasizing the need to identify powerful biomarkers with clinical relevance. Materials and Methods: Available gene expression data (level 3) for thyroid cancers were downloaded from the Cancer Genome Atlas (TCGA), followed by bioinformatic analyses performed on the data set. Results: Based on gene expression analysis, we were able to identify common and specific gene signatures for the three main types of papillary thyroid carcinoma (classical, follicular variant, and tall-cell). The survival rate was not significantly different among the main subtypes, but we were able to identify a biological adhesion signature with impact in patient prognostic. Conclusions: Taken together, the gene expression signature and particular adhesion signature, along with ITGA10 and MSLN in particular, could be used as a prognostic tool with important clinical relevance.

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