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Differences in gene expression profile of primary tumors in metastatic and non‐metastatic papillary thyroid carcinoma—do they exist?

  • Sylwia Szpak‐ulczok
  • , Aleksandra Pfeifer
  • , Dagmara Rusinek
  • , Malgorzata Oczko‐wojciechowska
  • , Malgorzata Kowalska
  • , Tomasz Tyszkiewicz
  • , Marta Cieslicka
  • , Daria Handkiewicz‐junak
  • , Krzysztof Fujarewicz
  • , Dariusz Lange
  • , Ewa Chmielik
  • , Ewa Zembala‐nozynska
  • , Sebastian Student
  • , Agnieszka Kotecka‐blicharz
  • , Aneta Kluczewska‐galka
  • , Barbara Jarzab
  • , Agnieszka Czarniecka
  • , Michal Jarzab
  • , Jolanta Krajewska
  • Maria Sklodowska-Curie Institute of Oncology

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

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—U133, set B—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.

Original languageEnglish
Article number4629
Pages (from-to)1-22
Number of pages22
JournalInternational Journal of Molecular Sciences
Volume21
Issue number13
DOIs
Publication statusPublished - Jul 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Distant metastases
  • Gene expression profile
  • Microarray
  • Papillary thyroid cancer

ASJC Scopus subject areas

  • Catalysis
  • Molecular Biology
  • Computer Science Applications
  • Spectroscopy
  • Physical and Theoretical Chemistry
  • Organic Chemistry
  • Inorganic Chemistry

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