Track topics on Twitter Track topics that are important to you
Published in the journal Nature Communications, the method may provide a more accurate snapshot of rearranged DNA found in cancer, and could help connect cancer patients with personalised treatments faster than current methods.
Our DNA provides the code for our cells to function, and certain changes in this code can drive cancer development. One such change is gene ‘fusion’, where genes from different sections of the DNA, often different chromosomes, become joined together when DNA breaks and rejoins in an aberrant way. These fusion genes can produce abnormal transcripts coding for proteins which contribute to tumour formation and are estimated to drive one-fifth of all human cancers.
Many cancer types, including leukaemias and sarcomas, are routinely screened for fusion genes using standard clinical diagnostic methods, such as fluorescence in situ hybridisation (FISH). However, these methods have limitations.
“The standard FISH diagnostic for fusion genes has been used clinically for around 30 years but each test only provides one answer on one fusion gene, which is not the full story,” said Dr Jim Blackburn, who leads the DNA and RNA Methodologies Group at Garvan and serves as co-senior author on the new study.
Dr Blackburn added that current methods can miss uncommon fusion genes, and that the wrong test could initially be requested. For instance, a metastasised sarcoma found in the lung — without knowledge of the original tumour — may be incorrectly screened for fusion genes commonly associated with lung cancer. And while targeted therapies for some fusion genes already exist, assigning such specific treatments requires identifying the right fusion gene.
“The approach we’ve taken in our study is to wipe away the information about where the cancer is found — we take a broad view and just look at genes that are known to be involved in fusions across all cancer subtypes,” said Dr Erin Heyer, first author of the study.
To develop their new method, the Garvan researchers investigated whether sequencing the cancer cells’ RNA — a ‘transcript’ of DNA that cells use to make proteins — could provide a more accurate snapshot of fusion genes than the FISH method. The team designed two extensive panels as tools to allow them to screen the RNA of all known fusion genes at once — one for blood cancers and one for solid tumours.
The team tested their new method using clinical cancer patient samples, including samples from the Molecular Screening and Therapeutics (MoST) clinical trials, and discovered that their RNA analysis not only more accurately detected fusion genes previously identified with FISH analyses, it identified 20% more fusion genes that the FISH analyses missed.
“We hope that our two diagnostic tests will not only save time and money, but will better detect fusion genes in cancers that don’t fit the norm,” Dr Blackburn said.
The team is now seeking funding to clinically accredit their two tests, to progress the method from a lab technique to a clinical diagnostic. Dr Blackburn said, “We want to help make diagnosing patients more accurate and more efficient, so that they can receive the right treatments faster.”
Original Article: New method to more accurately diagnose cancer subtypesNEXT ARTICLE
Bioinformatics is the application of computer software and hardware to the management of biological data to create useful information. Computers are used to gather, store, analyze and integrate biological and genetic information which can then be applied...
Bladder Cancer Brain Cancer Breast Cancer Cancer Cervical Cancer Colorectal Head & Neck Cancers Hodgkin Lymphoma Leukemia Lung Cancer Melanoma Myeloma Ovarian Cancer Pancreatic Cancer ...
Cancer is not just one disease but many diseases. There are more than 100 different types of cancer. Most cancers are named for the organ or type of cell in which they start - for example, cancer that begins in the colon is called colon cancer; cancer th...