
For more information, contact:
Peter Sherwood
516-367-6947
sherwood@cshl.edu
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For Immediate
Release:
September 16, 2003
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Powerful
New Method Helps Reveal Genetic Basis of Cancer,
Plus Surprising Differences in "Normal" DNA |
Researchers at Cold Spring Harbor Laboratory have developed
one of the most sensitive, comprehensive, and robust methods that
now exists for profiling the genetic basis of cancer and other
diseases. The method detects chromosomal deletions and amplifications
(i.e. missing or excess copies of DNA segments), and is useful
for a wide variety of biomedical and other applications.
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The study, led by Rob Lucito and Michael
Wigler, is published in the October issue of the journal
Genome Research (advance on-line publication date: September
15). The powerful new gene discovery method described in
the study is called ROMA (Representational Oligonucleotide
Microarray Analysis).
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Above: Comparing normal and breast cancer
cells by ROMA reveals several chromosomal
amplifications (peaks above "0") and deletions (troughs
below "0"). |
By using ROMA to compare the DNA of normal cells and breast
cancer cells, the researchers have uncovered a striking collection
of chromosomal amplifications and deletions that are likely to
be involved in some aspect of breast cancer (see this page, and
http://roma.cshl.org).
Some of the DNA amplifications and deletions detected in this
study correspond to known oncogenes and tumor suppressor genes.
However, many of them are likely to reveal new genes and cellular
functions involved in breast cancer or cancer in general.
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Above: Close-up view of DNA amplifications
(peaks above "0") and deletions
(troughs below "0") associated with breast
cancer on human chromosome number 8. |
It would be enough that ROMA is capable of providing a comprehensive,
genome-wide view of the genetic alterations associated with breast
and other cancers. Such information is invaluable for improving
the diagnosis and treatment of the disease. But when comparing
"normal to normal" instead of "normal to tumor"
DNA samples, Lucito and Wigler got a big surprise.
They frequently detected large (100 kb to 1 Mb) chromosomal deletions
and duplications in such normal DNA samples. The scientists speculate
that such variations or "copy number polymorphisms"
among individuals might well underlie many human traits, including
heritable predisposition or resistance to disease.
Background Information Relevant to the Development of
ROMA
In 1981, using a gene transfer method he pioneered, Wigler, working
at Cold Spring Harbor Laboratory, discovered one of the first
human oncogenes (the H-ras oncogene). Hyperactive or excess Ras
protein, or alterations in cell functions related to Ras, are
implicated in the majority of cancers. Today, cancer therapies
that target components of the Ras pathway (e.g. farnesyl transferase
inhibitors) are in clinical trials.
In 1993, Wigler and Nikolai Lisitsyn developed a powerful and
versatile gene discovery method called Representational Difference
Analysis (RDA). RDA enables researchers to "clone the differences"
between any two sets of DNA (for example, normal versus tumor
DNA isolated from the same patient, or uninfected cells versus
cells infected with an unknown virus).
Since 1993, Wigler's lab, alone and in collaboration with groups
at Columbia University and Tularik, Inc., has used RDA to identify
several previously unrecognized oncogenes and tumor suppressors
genes, primarily from sporadic breast cancers (the most common
form of the disease). These include PTEN and DBC2 (tumor suppressor
genes frequently missing from or inactive in a large proportion
of breast and other cancers) in addition to KCNK9 (a gene whose
identification revealed a previously unrecognized mechanism for
oncogene action as well as an attractive therapeutic target, namely,
potassium channels).
The new method, ROMA, is essentially "RDA on a chip."
Combining RDA and DNA microarray analysis with the third "pillar"
of the method (i.e. knowledge of the complete human genome sequence)
gives ROMA unprecedented ability to detect copy number fluctuations
on a
genome-wide scale.
In addition to Lucito and Wigler, others involved with the study
include Larry Norton of Memorial Sloan-Kettering Cancer Center
and Scott Powers of Tularik, Inc.
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