Related Experiment Video

Updated: Mar 24, 2026

Spontaneous Murine Model of Anaplastic Thyroid Cancer
05:39

Spontaneous Murine Model of Anaplastic Thyroid Cancer

Published on: February 3, 2023

2.4K

MicroRNAs let7 expression in thyroid cancer: correlation with their deputed targets HMGA2 and SLC5A5

Alexander I Damanakis1, Sabine Eckhardt1, Annette Wunderlich1

  • 1Department of Visceral, Thoracic and Vascular Surgery, Philipps University Marburg, Baldingerstrasse, 35043, Marburg, Germany.

Journal of Cancer Research and Clinical Oncology
|March 11, 2016
PubMed
Abstract

Insights

Thyroid cancer microRNA expression varies by type. hsa-let-7b-5p and hsa-let-7f-5p showed distinct patterns, impacting SLC5A5 and HMGA2 in follicular, papillary, and anaplastic thyroid cancers.

Area of Science:

  • Endocrinology
  • Molecular Biology
  • Oncology

Background:

  • Thyroid cancer (TC) is the most common endocrine malignancy with increasing incidence.
  • MicroRNAs (miRNAs) are implicated in tumorigenesis and can serve as diagnostic markers for TC.
  • Specific miRNAs, hsa-let-7b-5p and hsa-let-7f-5p, and their targets SLC5A5 and HMGA2, are investigated for their roles in different TC subtypes.

Purpose of the Study:

  • To analyze the expression of tumor suppressor miRNAs hsa-let-7b-5p and hsa-let-7f-5p.
  • To investigate the expression of their predicted targets, SLC5A5 (sodium-iodide symporter) and HMGA2 (high mobility group AT-hook 2).
  • To compare these expression patterns across papillary (PTC), follicular (FTC), and anaplastic (ATC) thyroid cancer subtypes.

Main Methods:

  • Quantitative reverse transcription polymerase chain reaction (RT-qPCR) was used to measure the expression of pre-let-7b, hsa-let-7b-5p, hsa-let-7f-5p, SLC5A5, and HMGA2.
  • Samples included 8 FTC, 14 PTC, 12 ATC, and 3 normal thyroid tissues.
  • Data analysis was performed using REST 2008 software.

Main Results:

  • Follicular thyroid cancer (FTC) exhibited down-regulation of hsa-let-7b-5p, overexpression of hsa-let-7f-5p, and suppressed SLC5A5, with HMGA2 overexpression.
  • Papillary thyroid cancer (PTC) showed up-regulation of hsa-let-7b-5p and hsa-let-7f-5p, suppressed SLC5A5, and overexpressed HMGA2.
  • Anaplastic thyroid cancer (ATC) displayed similar miRNA profiles to PTC but with stable or up-regulated SLC5A5 and HMGA2, indicating a loss of correlation.

Conclusions:

  • HMGA2 expression is not consistently correlated with regulatory let-7 miRNAs across all thyroid cancer subtypes.
  • SLC5A5 was down-regulated in FTC and PTC, potentially modulated by hsa-let-7f-5p.
  • ATC presents a distinct pattern with a loss of SLC5A5/hsa-let-7f-5p correlation, warranting further investigation into the mechanisms altering SLC5A5 expression.
Keywords:
Diagnostic markersEpigeneticThyroid cancerlet7miRNAs

More Related Videos

In Vivo Inhibition of MicroRNA to Decrease Tumor Growth in Mice07:02

In Vivo Inhibition of MicroRNA to Decrease Tumor Growth in Mice

Published on: August 23, 2019

7.9K
Induction and Analysis of Epithelial to Mesenchymal Transition10:37

Induction and Analysis of Epithelial to Mesenchymal Transition

Published on: August 27, 2013

36.7K

Related Concept Videos

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...
10.1K
Master Transcription Regulators02:23

Master Transcription Regulators

Master transcription regulators are regulatory proteins that are predominantly responsible for regulating the expression of multiple genes. Often these genes work in concert to drive a  complex process. Activation of a master transcription regulator can lead to a cascade of transcriptional activation necessary for that outcome. These regulators can directly bind to the regulatory sequences of the various genes involved, or they can indirectly regulate transcription by binding to regulatory...
8.0K