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

Scientists at NCI Generate Largest Data Set of Cancer-Related Genetic Variations

Published: Tuesday, July 30, 2013
Last Updated: Tuesday, July 30, 2013
Bookmark and Share
Scientists have generated a data set of cancer-specific genetic variations and are making these data available to the research community.

This will help cancer researchers better understand drug response and resistance to cancer treatments.

"To date, this is the largest database worldwide, containing 6 billion data points that connect drugs with genomic variants for the whole human genome across cell lines from nine tissues of origin, including breast, ovary, prostate, colon, lung, kidney, brain, blood and skin," said Yves Pommier, M.D., Ph.D., chief of the Laboratory of Molecular Pharmacology at the NCI in Bethesda, Md., in an interview. "We are making this data set public for the greater community to use and analyze.

"Opening this extensive data set to researchers will expand our knowledge and understanding of tumorigenesis [the process by which normal cells are transformed into cancer], as more and more cancer-related gene aberrations are discovered," Pommier added. "This comes at a great time, because genomic medicine is becoming a reality, and I am very hopeful this valuable information will change the way we use drugs for precision medicine."

Pommier and colleagues conducted whole-exome sequencing of the NCI-60 human cancer cell line panel, which is a collection of 60 human cancer cell lines, and generated a comprehensive list of cancer-specific genetic variations. Preliminary studies conducted by the researchers indicate that the extensive data set has the potential to dramatically enhance understanding of the relationships between specific cancer-related genetic variations and drug response, which will accelerate the drug development process.

The NCI-60 human cancer cell line panel is used extensively by cancer researchers to discover novel anti-cancer drugs. To conduct whole-exome sequencing, Pommier and his NCI team extracted DNA from the 60 different cell lines, which represent cancers of the lung, colon, brain, ovary, breast, prostate and kidney, as well as leukemia and melanoma, and cataloged the genetic coding variants for the entire human genome. The genetic variations identified were of two types: type I variants corresponding to variants found in the normal population, and type II variants, which are cancer-specific.

The researchers then used the Super Learner algorithm to predict the sensitivity of cells harboring type II variants to 103 anti-cancer drugs approved by the FDA and an additional 207 investigational new drugs. They were able to study the correlations between key cancer-related genes and clinically relevant anti-cancer drugs, and predict the outcome.

The data generated in this study provide means to identify new determinants of response and mechanisms of resistance to drugs, and offer opportunities to target genomic defects and overcome acquired resistance, according to Pommier. To enable this, the researchers are making these data available to all researchers via two database portals, called the CellMiner database and the Ingenuity systems database.

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 2,700+ 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 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

NCI Scientists Identify Targets for Melanoma Immunotherapy
Researchers have identified seven targets that could potentially be used to develop new immunotherapies for patients with metastatic melanoma.
Wednesday, September 11, 2013
MicroRNA Molecule May Serve as Biomarker
MicroRNA molecule called miR-7 decreased in highly metastatic cancer stem-like cells.
Monday, February 18, 2013
MicroRNA Molecule May Serve as Biomarker, Target for Brain Metastases in Breast Cancer Patients
Currently, most deaths from breast cancer are a result of metastatic disease.
Wednesday, February 06, 2013
Scientific News
Gene Editing Could Enable Pig-To-Human Organ Transplant
The largest number of simultaneous gene edits ever accomplished in the genome could help bridge the gap between organ transplant scarcity and the countless patients who need them.
Antioxidants Cause Malignant Melanoma to Metastasize Faster
Fresh research at Sahlgrenska Academy has found that antioxidants can double the rate of melanoma metastasis in mice.
UC San Diego Team Up with Illumina to Speed-Read Your Microbiome
Data analysis app accelerates studies aimed at using microbes to predict, diagnose and treat human diseases.
Paving the Way for Diamonds to Trace Early Cancers
Researchers from the University of Sydney reveal how nanoscale 'diamonds' can light up early-stage cancers in MRI scans.
Researchers Develop Classification Model for Cancers Caused by KRAS
Most frequently mutated cancer gene help oncologists choose more effective cancer therapies.
Chromosomal Chaos
Penn study forms basis for future precision medicine approaches for Sezary syndrome
Shaking Up the Foundations of Epigenetics
Researchers at the Centre for Genomic Regulation (CRG) and the University of Barcelona (UB) published a study that challenges some of the current beliefs about epigenetics.
Genetic Defences of Bacteria Don’t Aid Antibiotic Resistance
Genetic responses to the stresses caused by antibiotics don’t help bacteria to evolve a resistance to the medications, according to a new study by Oxford University researchers.
Tolerant Immune System Increases Cancer Risk
Researchers have found that individuals with high immunoCRIT ratios may have an increased risk of developing certain cancers.
Developing a Gel that Mimics Human Breast for Cancer Research
Scientists at the Universities of Manchester and Nottingham have been funded to develop a gel that will match many of the biological structures of human breast tissue, to advance cancer research and reduce animal testing.
Skyscraper Banner

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
2,700+ scientific and medical posters
A library of 2,500+ scientific videos on LabTube
3,800+ scientific videos