Transfer RNA-Derived Fragments as Novel Diagnostic and Functional Targets for Malignant Mesothelioma

Abstract

This project explores the potential for small fragments of genetic material called transfer RNA-derived fragments (tRF)s as novel diagnostic, early disease and disease progression biomarkers as well as targets for therapy in malignant mesothelioma. In the first two years of the study most of the research effort was in sample preparation and PCR analysis of the two patient sample cohorts of over 1000 samples. Data emanating from the analysis of the first patient cohort of 400 samples did not support the original observations presented in the preliminary data cohort. Due to identified potential technical issues related to the way the samples were initially run, all samples were reanalysed. We are currently awaiting statistical analysis data. The second cohort of 600 samples (including 100 new controls) were also prepared and analyzed and we are awaiting statistical analysis data. We also continued to examine functional roles of the tRFs in mesothelioma cells and their effect on tumor growth, but these studies have been limited due to difficulty getting reagents from suppliers. Furthermore, reagents initially used to inhibit tRF cellular expression did not successfully block the tRFs and so have had to be redesigned to improve effectiveness. COVID has delayed the progress of the study and as such we have applied for and been granted a 12 month extension to the study.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2022
Accession Number
AD1193025

Entities

People

  • Cecilia Prele
  • Nick De Klerk
  • Steven Mutsaers

Organizations

  • University of Western Australia

Tags

DTIC Thesaurus Topics

  • Antisense Elements (Genetics)
  • Australia
  • Biological Markers
  • Biomedical Research
  • Cancer
  • Cell Line
  • Cells
  • Data Analysis
  • Disease Attributes
  • Diseases
  • Extraction
  • Lung Cancer
  • Mesothelioma
  • Neoplasms
  • Ribonucleic Acids
  • Standards
  • Statistical Analysis
  • Students
  • Trna

Readers

  • Gender and Food Studies
  • Instructional Design and Training Evaluation.
  • Molecular and genetic basis of cancer.

Technology Areas

  • Biotechnology