We've updated our Privacy Policy to make it clearer how we use your personal data.

We use cookies to provide you with a better experience. You can read our Cookie Policy here.

Advertisement
RNA Sequencing Improves Diagnosis of Childhood Cancers
News

RNA Sequencing Improves Diagnosis of Childhood Cancers

RNA Sequencing Improves Diagnosis of Childhood Cancers
News

RNA Sequencing Improves Diagnosis of Childhood Cancers

Read time:
 

Want a FREE PDF version of This News Story?

Complete the form below and we will email you a PDF version of "RNA Sequencing Improves Diagnosis of Childhood Cancers "

First Name*
Last Name*
Email Address*
Country*
Company Type*
Job Function*
Would you like to receive further email communication from Technology Networks?

Technology Networks Ltd. needs the contact information you provide to us to contact you about our products and services. You may unsubscribe from these communications at any time. For information on how to unsubscribe, as well as our privacy practices and commitment to protecting your privacy, check out our Privacy Policy

Analysis of the entire tumor RNA picks up more clinically relevant genetic changes in children with cancer than traditional diagnostic methods, new research has shown.

A piece of tumor tissue is taken from all children with cancer to determine the exact form of their disease. The piece of tissue is looked at under the microscope, but also analyzed for genetic faults.

Changes in both DNA and RNA – a translation of the DNA code – can provide important clues about the exact cancer type, the aggressiveness of the tumor, and the possible benefit of targeted drugs.

Replacing classical tests

Since the opening of the Princess Máxima Center, all available RNA in a piece of tumor tissue from every child with cancer in the Netherlands is studied using so-called 'RNA sequencing' – currently in addition to traditional diagnostics.


In some children, RNA sequencing has already led to improved diagnosis and adapted treatment. For a large number of cancer types, the Diagnostic Lab in the Princess Máxima Center has already replaced the traditional tests with broad RNA analyses. The researchers expect that they will soon also be able to switch completely for other cancer types – especially forms of leukemia.

Fusion genes

In a new study, scientists at the Princess Máxima Center compared the effectiveness of RNA sequencing with traditional methods that allow you to specifically search the DNA and RNA for known gene changes. The study was published today (Thursday) in the journal JCO Precision Oncology, and was funded by the Dutch Research CouncilChildren Cancer-free Foundation (KiKa) and the Adessium Foundation.


The team analyzed tissue samples from 244 children referred to the Princess Máxima Center between late 2018 and mid-2019 after suspected cancer. They focused on picking up so-called fusion genes – a kind of genetic fault where two separate genes together form one new, faulty gene. Such fusion genes are found in many cancers and can often influence treatment decisions.


Using RNA sequencing, the team picked out a total of 78 fusion genes. That was 23 – or 40% – more than they found using traditional techniques. Traditional methods did find the other 55 fusion genes – but often only one of the two genes was picked up from the fusion, while information from both genes can be important for diagnosis or treatment.

More accurate diagnosis

In almost a third of the 23 RNA sequencing specific gene fusions, the finding led to a more accurate diagnosis or possible treatment. In the case of one girl, the pathologist’s diagnosis was modified on the basis of RNA sequencing to infantile fibrosarcoma, a soft tissue tumor, with a so-called NTRK fusion. This meant she was able to receive a new targeted drug as part of a clinical trial.


The diagnosis of a one-year-old boy with a brain tumor was changed from glioblastoma to hemispheric glioma, a tumor with a less bad outcome. When standard treatment stopped working, he was given a precision medicine that kept him stable for another year.


For a third of the 23 abnormalities ‘missed’ by traditional diagnostics, no specific tests currently exists. For the other missed gene changes, technical reasons played a role – or the relevant test was simply not requested because it did not seem relevant for the tumor type.

Possible consequences for treatment

Dr. Bastiaan Tops, head of the Diagnostic Lab at the Princess Máxima Center and co-leader of the study, says: ‘RNA sequencing was already used before, but only in children who were very ill, and for whom standard treatment had stopped working. In our research hospital setting at the Princess Máxima Center, we have implemented RNA sequencing into standard diagnostics. Our new study shows that this approach is paying off.


‘Because we can look at the full genetic landscape of a child’s tumor at diagnosis, we can discuss possible consequences for treatment with the child’s doctor right away. That means we can offer children with cancer the very best opportunities, based on the latest scientific insights.’

Benefit from new findings

Dr. Patrick Kemmeren, group leader and head of the Big Data Core at the Princess Máxima Center, and co-leader of the study, says: ‘In this study, we show that a single test that searches the entire tumor RNA is almost one and a half times more sensitive to genetic faults in childhood cancer. I expect that the test we have developed will replace the various traditional methods in the foreseeable future.


‘In my group, we conduct much broader research into DNA and RNA abnormalities in childhood cancer. If we discover new abnormalities, they can also be immediately included as part of new diagnoses – and even tested retrospectively in children who are already under treatment. In this way, children with cancer benefit as quickly as possible from new findings within fundamental research.’


Reference: Hehir-Kwa JY, Koudijs MJ, Verwiel ETP, et al. Improved gene fusion detection in childhood cancer diagnostics using RNA sequencing. JCO Precis. Oncol. 2022;(6):e2000504. doi: 10.1200/PO.20.00504


This article has been republished from the following materials. Note: material may have been edited for length and content. For further information, please contact the cited source.


Advertisement