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MicroRNA‑mRNA integrated analysis based on a case of well‑differentiated thyroid cancer with both metastasis and

Yun-Jie Zhang1, Yu-Shui Ma2, Qing Xia3

  • 1Department of Orthopedics, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China.

Oncology Reports
|October 2, 2018
PubMed

Insights

This study identifies new molecular markers and networks in well-differentiated thyroid cancer (WDTC) progression. Understanding these mechanisms, including ribosome and p53 pathways, may improve treatment for distant metastasis and recurrence.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • Well-differentiated thyroid cancer (WDTC) incidence is rising, with poor outcomes linked to distant metastasis (DM) and recurrence.
  • Understanding molecular changes driving WDTC progression is crucial for improving patient survival.

Purpose of the Study:

  • To analyze gene and microRNA expression alterations in WDTC at different stages.
  • To investigate the regulatory mechanisms behind distant metastasis and recurrence in WDTC.
  • To identify novel prognostic markers and therapeutic targets.

Main Methods:

  • Performed mRNA and microRNA microarray on patient tissues (paracancerous, cancerous, metastatic, recurrent).
  • Utilized bioinformatics approaches and integrated data from The Cancer Genome Atlas (TCGA).
  • Analyzed common alterations and microRNA-mRNA interactions in tumorigenesis and metastasis.

Main Results:

  • Identified four novel mRNAs and two microRNAs associated with WDTC patient survival.
  • Observed lineage deregulation of genes like CXCR4 and TG from tumorigenesis to metastasis.
  • Found ribosome pathway enrichment in bone metastasis and impaired p53 pathway in recurrent lesions.

Conclusions:

  • Integrated analysis with TCGA data revealed prognostic markers and regulatory networks for WDTC.
  • The study suggests ribosome and p53 pathways play roles in bone metastasis and local recurrence, respectively.
  • Findings provide insights into molecular mechanisms driving WDTC evolution and recurrence.

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