Corporate Banner
Satellite Banner
RNAi
Scientific Community
 
Become a Member | Sign in
Home>News>This Article
  News
Return

RNA Diagnostic Test from Paraffin Improves Lung Cancer Diagnosis

Published: Thursday, July 18, 2013
Last Updated: Thursday, July 18, 2013
Bookmark and Share
Scientists have developed a histology expression predictor for the most common types of lung cancer.

Knowing what type of lung cancer a patient has is critical to determine which drug will work best and which therapies are safest in the era of personalized medicine. Key to making that judgment is an adequate tumor specimen for the pathologist to determine the tumor’s histology, a molecular description of a tumor based on the appearance of cells under a microscope. But not all specimens are perfect, and are sometimes so complex that a definitive diagnosis presents a challenge.

Scientists at the Universities of North Carolina and Utah have developed a histology expression predictor for the most common types of lung cancer: adenocarcinoma, carcinoid, small cell carcinoma and squamous cell carcinoma.  This predictor can confirm histologic diagnosis in routinely collected paraffin samples of patients’ tumors and can complement and corroborate pathologists’ findings.

Their findings were reported in the July 2013 issue of the Journal of Molecular Diagnostics.

Neil Hayes, MD, MPH, associate professor of medicine and corresponding author of the study says, “As we learn more about the genetics of lung cancer, we can use that understanding to tailor therapies to the individual’s tumor.  Gene expression profiling has great potential for improving the accuracy of the histologic diagnosis.  Historically, gene expression analysis has required fresh tumor tissue that is usually not possible in routine clinical care.  We desperately needed to extend the analysis of genes (aka RNA) to paraffin samples that are routinely generated in clinical care, rather than fresh frozen tissue.  That is the major accomplishment of the current study and one of the first large scale endeavors in lung cancer to show this is possible.

“Our predictor identifies the major histologic types of lung cancer in paraffin-embedded tissue specimens which is immediately useful in confirming the histologic diagnosis in difficult tissue biopsy specimens.”  Dr. Hayes is a member of UNC Lineberger Comprehensive Cancer Center.

The scientists used 442 samples of formalin-fixed paraffin-embedded specimens from lung cancer patients at UNC and the University of Utah Health Sciences Center as they developed their predictor.

First author Matthew Wilkerson, PhD, explains, “Our question was,  ‘Can histology be predicted accurately by gene expression?’  We had lung cancer genes we already knew were differentially expressed in the different tumor types, so we measured them in tumor paraffin specimens. Next we developed a predictor in an independent set of tumor samples. We then compared the predictor to the actual clinical diagnosis and had additional pathologists review the samples. We showed accuracy as least as good as the pathologist.  Our predictor exhibited a mean accuracy of 84 percent, and when compared with pathologist diagnoses, yielded similar accuracy and precision as the pathologists.”

Dr. Hayes summarizes, “Going beyond meeting a current need of increasing the accuracy of histologic diagnosis is expected to be the ultimate benefit of this technology.  There are many additional characteristics of tumors that could be leveraged for clinical purposes once the world of gene expression analysis from paraffin is efficient from clinical samples.  We anticipate additional uses such as predicting responses to additional therapies and prognostication as near term additions.”


Further Information
Access to this exclusive content is for Technology Networks Premium members only.

Join Technology Networks Premium for free access to:

  • Exclusive articles
  • Presentations from international conferences
  • Over 2,500+ scientific posters on ePosters
  • More than 3,800+ scientific videos on LabTube
  • 35 community eNewsletters


Sign In



Forgotten your details? Click Here
If you are not a member you can join here

*Please note: By logging into TechnologyNetworks.com you agree to accept the use of cookies. To find out more about the cookies we use and how to delete them, see our privacy policy.

Related Content

Cell Death Mystery Yields New Suspect for Cancer Drug Development
A mysterious form of cell death, coded in proteins and enzymes, led to a discovery by UNC researchers uncovering a prime suspect for new cancer drug development.
Friday, September 14, 2012
Scientific News
Microscopic Fish are 3D-Printed to do More Than Swim
Researchers demonstrate a novel method to build microscopic robots with complex shapes and functionalities.
Inciting an Immune Attack on Cancer Cells
A new minimally invasive vaccine that combines cancer cells and immune-enhancing factors could be used clinically to launch a destructive attack on tumors.
Reprogramming Cancer Cells
Researchers on Mayo Clinic’s Florida campus have discovered a way to potentially reprogram cancer cells back to normalcy.
New Strategy for Combating Adenoviruses
Using an animal model they developed, Saint Louis University and Utah State university researchers have identified a strategy that could keep a common group of viruses called adenoviruses from replicating and causing sickness in humans.
Surprising Mechanism Behind Antibiotic-Resistant Bacteria Uncovered
Now, scientists at TSRI have discovered that the important human pathogen Staphylococcus aureus, develops resistance to this drug by “switching on” a previously uncharacterized set of genes.
Fat in the Family?
Study could lead to therapeutics that boost metabolism.
Imaging Software Could Speed Up Breast Cancer Diagnosis
Researchers use high speed optical microscopy of intact breast tissue specimens to analyze breast tissue.
A Metabolic Master Switch Underlying Human Obesity
Researchers find pathway that controls metabolism by prompting fat cells to store or burn fat.
Synthetic DNA Vaccine Against MERS Shows Promise
A novel synthetic DNA vaccine can, for the first time, induce protective immunity against the Middle East Respiratory Syndrome (MERS) coronavirus in animal species.
How Small RNA Helps Form Memories
In a new study, a team of scientists at Scripps Florida has found that a type of genetic material called "microRNA" (miRNA) plays surprisingly different roles in the formation of memory in animal models.
SELECTBIO

Skyscraper Banner
Go to LabTube
Go to eposters
 
Access to the latest scientific news
Exclusive articles
Upload and share your posters on ePosters
Latest presentations and webinars
View a library of 1,800+ scientific and medical posters
2,500+ scientific and medical posters
A library of 2,500+ scientific videos on LabTube
3,800+ scientific videos
Close
Premium CrownJOIN TECHNOLOGY NETWORKS PREMIUM FREE!