Researchers at Karolinska Institutet in Sweden have developed a new,
cheap method that can identify highly heterogeneous tumors that tend to
be very aggressive, and therefore need to be treated more aggressively.
The technique is presented in the scientific journal Nature Communications.
A common feature of cancer cells is alterations in the number of
copies in which each chromosome or gene is present in the genome—a
phenomenon known as copy number alterations or CNAs. Within the same
tumor, cells belonging to different anatomical parts of the tumor may
carry different CNAs. tumors with many CNAs are typically very
aggressive and tend to reform more often, even after harsh treatments.
Now, the Bienko-Crosetto Laboratory at Karolinska Institutet and
Science for Life Laboratory (SciLifeLab) in Sweden have developed a new
genomic method, named CUTseq, which can assess the amount and type of
CNAs in many different parts of the same tumor, at a much lower cost
than existing technologies.
“I expect that CUTseq will find many useful applications in cancer diagnostics,”
says Nicola Crosetto, senior researcher at the Department of Medical
Biochemistry and Biophysics, Karolinska Institutet, and one of the
senior authors of the paper. “Multi-region tumor sequencing is going to
be increasingly used in the diagnostic setting, in order to identify
patients with highly heterogeneous tumors that need to be treated more
aggressively. I believe that our method can play a leading role here.”
The method works with DNA extracted from multiple biopsies and even
from very small portions of thin tissue sections—the type of sample that
pathologists commonly rely on to make a diagnosis of cancer under the
microscope.
By tagging the DNA extracted from multiple regions of the same tumor
sample with unique molecular barcodes, a comprehensive picture of the
heterogeneity of CNAs in a tumor can be obtained with a single
sequencing experiment.
Applications of CUTseq are not only limited to cancer diagnostics, according to the researchers behind the new method.
“For example, CUTseq could be used as a platform for cell line
authentication and to monitor genome stability in large cell line
repositories and biobanks,” says Magda Bienko, senior researcher at the
same department and the other senior author of the paper. “It could also
be applied in ecology, as an alternative to other reduced
representation genome sequencing methods, such as RAD-seq, to assess
biodiversity in a cost-effective way.”
https://medicalxpress.com/news/2019-10-diagnostic-method-aggressive-tumors.html
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