Nodal metastasis microRNA expression correlates with the primary tumour in MTC

Justin S Gundara1, Jing Ting Zhao, Anthony J Gill

  • 1Cancer Genetics Laboratory, Kolling Institute of Medical Research, Royal North Shore Hospital, St. Leonards, Sydney, New South Wales, Australia; Endocrine Surgical Unit, Royal North Shore Hospital, St. Leonards, Sydney, New South Wales, Australia; University of Sydney, Sydney, New South Wales, Australia; Northern Translational Cancer Research Unit, Kolling Institute of Medical Research, Royal North Shore Hospital, St. Leonards, Sydney, New South Wales, Australia.

ANZ Journal of Surgery
|October 18, 2012
PubMed
Abstract

Insights

MicroRNA (miRNA) expression in medullary thyroid carcinoma (MTC) lymph node metastases mirrors primary tumors. This finding supports using miRNA analysis from lymph node biopsies for MTC diagnosis and treatment decisions.

Area of Science:

  • Endocrinology
  • Oncology
  • Molecular Biology

Background:

  • Lymph node metastases in medullary thyroid carcinoma (MTC) present diagnostic and management challenges.
  • Understanding microRNA (miRNA) profiles in metastatic MTC is crucial for developing novel therapeutic strategies.

Purpose of the Study:

  • To investigate and compare miRNA expression patterns between primary MTC tumors and their corresponding lymph node metastases.
  • To assess the potential of specific miRNAs (miR-9*, miR-183, miR-375) in MTC pathophysiology and clinical decision-making.

Main Methods:

  • Analysis of formalin-fixed paraffin-embedded tumor tissue from seven MTC patients.
  • Quantitative polymerase chain reaction (qPCR) to measure expression levels of miR-9*, miR-183, and miR-375 in primary tumors and lymph node metastases.

Main Results:

  • Significant correlations were observed between primary tumors and lymph node metastases for miR-9* (P < 0.001), miR-183 (P = 0.001), and miR-375 (P = 0.004).
  • Clinicopathological data including age, tumor size, and follow-up revealed disease progression in some patients.

Conclusions:

  • miRNA expression profiles in MTC lymph node metastases are highly reflective of the primary tumor.
  • The study validates the significance of miR-9*, miR-183, and miR-375 in MTC.
  • Lymph node biopsy miRNA analysis may offer a new avenue for clinical decision-making in MTC management.

Related Concept Videos

MicroRNAs01:22

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
MicroRNAs01:22

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA ends...
Metastasis02:30

Metastasis

Metastasis is the spread of cancer cells from the original site to distant locations in the body. Cancer cells can spread via blood vessels (hematogenous) as well as lymph vessels in the body.
Epithelial-to-Mesenchymal Transition
The epithelial-to-mesenchymal transition or EMT is a developmental process commonly observed in wound healing, embryogenesis, and cancer metastasis. EMT is induced by transforming growth factor-beta (TGF-β) or receptor tyrosine kinase (RTK) ligands, which further...
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA (lncRNA)...