Transcriptomic profiling predicts multiple pathways and molecules associated with the metastatic phenotype of oral cancer cells

Yuka Ideta, Takanobu Tagawa, Yuichiro Hayashi, Junichi Baba, Kimiko Takahashi, Kenji Mitsudo, Kouhei Sakurai

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Background/Aim: Metastasis to cervical lymph nodes of oral squamous cell carcinoma (OSCC) leads to a poor prognosis. The present study aimed at investigating the pathways and molecules associated with OSCC metastasis. Materials and Methods: The transcriptome between HSC-3 cells and their highly metastatic subline, HSC-3-M3 cells, was examined using gene expression microarray. Gene enrichment analyses and Ingenuity Pathway Analysis were performed. Kaplan-Meier plot analysis using a publicly available dataset was conducted to assess whether candidate molecules are prognosticators. Results: A total of 1,018 genes were differentially expressed, and the inflammatory pathway and NF-κB were predicted to be activated in HSC-3-M3 cells. CSF2 was suggested to be an indicator of poor prognosis in head and neck cancers. Conclusion: Inflammation and NF-κB may be involved in the metastasis of OSCC, and CSF2 is a promising diagnostic and therapeutic molecule. Moreover, HSC-3-M3 cells are a useful cell line model for studying OSCC progression.

Original languageEnglish
Pages (from-to)17-27
Number of pages11
JournalCancer Genomics and Proteomics
Volume18
Issue number1
DOIs
Publication statusPublished - 01-2021
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Molecular Biology
  • Genetics
  • Cancer Research

Fingerprint

Dive into the research topics of 'Transcriptomic profiling predicts multiple pathways and molecules associated with the metastatic phenotype of oral cancer cells'. Together they form a unique fingerprint.

Cite this