We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Multiple Copies of RNA Editing Enzyme Gene Promote Lung Cancer Growth

By LabMedica International staff writers
Posted on 30 Dec 2015
A gene that codes for an enzyme that modulates RNA editing is present in multiple copies in non-small-cell lung cancer cells where they stimulate growth and cell division and indicate a poor prognosis for patients that carry them.

Investigators at the Bellvitge Biomedical Research Institute (Barcelona, Spain) reported in the December 7, 2015, online edition of the journal Oncogene that the RNA-editing enzyme ADAR1 (adenosine deaminase, RNA-specific) underwent gene amplification as part of the natural history of non-small-cell lung cancer. More...


The copy-number gain for ADAR1 was associated with overexpression of the transcript and protein in lung cancer cell lines and primary tumors. Under these circumstances, ADAR1 exerted growth-enhancing activity in vitro and in vivo, as was demonstrated in depletion and transfection experiments in cell culture and mouse models.

From a functional standpoint, ADAR1 mediated the adenosine-to-inosine editing levels of coding (e.g., the NEIL1 or Nei-like DNA glycosylase 1 gene) and noncoding (miR-381) RNA transcripts. A high ADAR1 copy number was associated with poor outcome in early-stage lung cancer patients, which could be useful in the clinical management of these cases.

"We found that 5%–10% of lung tumors, instead of having the normal dose of a gene (two copies, one on the maternal chromosome and another in his father) have an overdose of the same, around 10 extra copies of the gene," said senior author Dr. Manel Esteller, professor of genetics at the Bellvitge Biomedical Research Institute.

"The ADAR1 gene regulates the level of mutations in RNA, and it is a publisher gene. People with an excess of this gene have an imbalance in the composition of this molecule just causing abnormal proteins that contribute to tumor growth. If we study these altered target genes we would not see mutations in their DNA, but we will see altered proteins because of these sequence alterations of the intermediate molecule, RNA."

"Graphically we could say that there has been a problem of 'Lost in Translation,'" said Dr. Esteller. "Now it will be important to know whether this type of alteration is common in the rest of human tumors, if it occurs significantly in other diseases, and if there is any way to use this knowledge to better treatment."

Related Links:
Bellvitge Biomedical Research Institute



Gold Member
Neonatal Heel Incision Device
Tenderfoot
Online QC Software
Acusera 24•7
Multi-Chamber Washer-Disinfector
WD 390
Prefilled Tubes
Prefilled 5.0ml Tubes
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Pathology

view channel
Image: Immune-related signals in routine bone marrow biopsy slides could help predict multiple myeloma outcomes and support more personalized treatment strategies (image credit: Shutterstock)

AI Tool Extracts Immune Signals from Biopsy to Inform Myeloma Therapy

Multiple myeloma is a bone marrow malignancy in which patients can respond very differently to the same treatments, making initial therapy decisions difficult. Clinicians must choose among options such... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.