Differences in Gene Expression Profile of Primary Tumors in Metastatic and Non-Metastatic Papillary Thyroid Carcinoma—Do They Exist?

Autor: Ewa Zembala-Nożyńska, Malgorzata Oczko-Wojciechowska, Sylwia Szpak-Ulczok, Dagmara Rusinek, Małgorzata Kowalska, Michal Jarzab, Aleksandra Pfeifer, Jolanta Krajewska, Daria Handkiewicz-Junak, Marta Cieslicka, Agnieszka Czarniecka, Ewa Chmielik, Aneta Kluczewska-Gałka, Agnieszka Kotecka-Blicharz, Krzysztof Fujarewicz, Dariusz Lange, Barbara Jarzab, Tomasz Tyszkiewicz, Sebastian Student
Rok vydání: 2020
Předmět:
Male
0301 basic medicine
endocrine system diseases
Microarray
IGFBP3
Gene Expression
Papillary thyroid cancer
lcsh:Chemistry
Transcriptome
0302 clinical medicine
Gene expression
distant metastases
Neoplasm Metastasis
Child
lcsh:QH301-705.5
Spectroscopy
Aged
80 and over
Extracellular Matrix Proteins
General Medicine
Middle Aged
Primary tumor
Computer Science Applications
Thyroid Cancer
Papillary
Child
Preschool
030220 oncology & carcinogenesis
gene expression profile
Female
microarray
Adult
Adolescent
Biology
Article
Catalysis
Inorganic Chemistry
Thyroid carcinoma
03 medical and health sciences
Biomarkers
Tumor
medicine
Humans
papillary thyroid cancer
Thyroid Neoplasms
Physical and Theoretical Chemistry
Molecular Biology
Gene
Aged
Gene Expression Profiling
Organic Chemistry
medicine.disease
Carcinoma
Papillary
030104 developmental biology
lcsh:Biology (General)
lcsh:QD1-999
Cancer research
Zdroj: International Journal of Molecular Sciences
International Journal of Molecular Sciences, Vol 21, Iss 4629, p 4629 (2020)
Volume 21
Issue 13
ISSN: 1422-0067
Popis: Molecular mechanisms of distant metastases (M1) in papillary thyroid cancer (PTC) are poorly understood. We attempted to analyze the gene expression profile in PTC primary tumors to seek the genes associated with M1 status and characterize their molecular function. One hundred and twenty-three patients, including 36 M1 cases, were subjected to transcriptome oligonucleotide microarray analyses: (set A&mdash
U133, set B&mdash
HG 1.0 ST) at transcript and gene group level (limma, gene set enrichment analysis (GSEA)). An additional independent set of 63 PTCs, including 9 M1 cases, was used to validate results by qPCR. The analysis on dataset A detected eleven transcripts showing significant differences in expression between metastatic and non-metastatic PTC. These genes were validated on microarray dataset B. The differential expression was positively confirmed for only two genes: IGFBP3, (most significant) and ECM1. However, when analyzed on an independent dataset by qPCR, the IGFBP3 gene showed no differences in expression. Gene group analysis showed differences mainly among immune-related transcripts, indicating the potential influence of tumor immune infiltration or signal within the primary tumor. The differences in gene expression profile between metastatic and non-metastatic PTC, if they exist, are subtle and potentially detectable only in large datasets.
Databáze: OpenAIRE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje