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New patterns in cancer genetics point to tumour suppressor genes as potential therapeutic targets

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  • Researchers at IRB Barcelona have characterized how a gene is more likely to contribute to cancer when it is both mutated and has an altered number of copies.
  • The findings also suggest that tumour suppressor genes, traditionally not considered targets for cancer therapy, could be potential treatment approaches. 
  • The study, based on the comprehensive analysis of 18,000 cancer genomes, has been published in Nature Communications.
     

Cancer is caused by genetic changes that occur in our cells over time. There are two main types of changes, namely somatic mutations, which are alterations in the DNA sequence, and copy number alterations, which are changes in the number of copies of a particular gene. Until now, these two types of alterations were appreciated to work together in causing cancer, but systematic studies of how they affect the same gene in the same individual were needed.

Scientists at IRB Barcelona have published new findings in Nature Communications revealing that cancer progression is significantly influenced by the interaction between gene copy number alterations and mutations. The research confirms previous knowledge that a decreased copy number correlates with mutations in tumour suppressor genes (which hinders their cancer-protective functions), while an increased copy number correlates with a higher number of oncogene mutations that drive cancer development. Unexpectedly, the researchers have also established a link between a gain in gene copy number and mutations in tumour suppressor genes, and a link between a lower copy number and more mutations in oncogenes. Both of these paradoxical associations between mutations and copy number were also found to be prevalent in cancer genomes.

Researchers Dr. Elizaveta Besedina and Dr. Fran Supek have provided new insights into the roles of genetic alterations in cancer development, opening new avenues for considering tumour suppressor genes as potential targets for cancer treatment.

“Our research reveals that both increases and decreases in the number of gene copies can occur in surprising ways, which drive cancer evolution,” explains Dr. Supek, head of the Genome Data Science lab at IRB Barcelona, and a professor at the Biotech Research & Innovation Centre at the University of Copenhagen. “This finding challenges the traditional view of how these interactions occur and suggests that we may have missed important cancer-causing events in the past,” he adds.


Second-hit events: a common feature of cancer

“Second-hit” events involve one type of genetic alteration, such as a mutation, occurring in combination with another event, commonly a copy number alteration. This combination amplifies the effects of the single events and increases the likelihood of cancer development. This was well-known to occur with inherited cancer-risk variants, such as pathogenic variants in BRCA1 gene, causing breast and ovarian cancer. Here the researchers focused on less studied "second hits" involving somatic mutations.  The discovery that these events are a common driver across different types of cancer underscores the importance of considering the combination of different mutation types in genomic analyses.

The scientists developed a novel method called MutMatch to study the combined effects of mutations and copy number alterations in cancer. They analysed genetic data from around 18,000 tumours to uncover patterns of genetic changes.

“These two-hit events are crucial for understanding the later stages of tumour progression. They set complex interactions between different genetic changes and how they collectively contribute to cancer,” says Dr. Besedina, first author of the study.


Pathways to new therapeutic approaches

This research provides a roadmap for future research into cancer genetics. By exploring the interactions between different types of genetic changes, scientists can gain a deeper understanding of how cancer develops and progresses. This knowledge could lead to the development of new, more effective treatments for the disease.

Understanding the interaction between mutations and copy number alterations enables scientists to identify new targets for cancer therapies, including those previously overlooked, such as tumour suppressor genes. The observation that these genes, paradoxically, drive cancer also by copy number gains suggests that many mutations in them are so-called “dominant negative” mutations. These are, in principle, targetable by therapies.  This is how these new genetic insights could lead to the identification of new cancer drugs or the repurposing of existing ones, potentially enhancing their efficacy.

Finally, an understanding of the diverse genetic landscapes of tumours can help stratify patients into more precise subgroups and thus contribute to guiding personalised treatment approaches and potentially identifying additional patient groups that could benefit from current therapies.


The study was funded by the ERC, the Government of Catalonia, and the Spanish Ministry of Science and Innovation.

 

Related article:
Copy number losses of oncogenes and gains of tumor suppressor genes generate common driver mutations of human cancer 
Elizaveta Besedina & Fran Supek 
Nature Communications (2024) DOI: 10.1038/s41467-024-50552-1
 

About IRB Barcelona

The Institute for Research in Biomedicine (IRB Barcelona) pursues a society free of disease. To this end, it conducts multidisciplinary research of excellence to cure cancer and other diseases linked to ageing. It establishes technology transfer agreements with the pharmaceutical industry and major hospitals to bring research results closer to society, and organises a range of science outreach activities to engage the public in an open dialogue. IRB Barcelona is an international centre that hosts 400 researchers and more than 30 nationalities. Recognised as a Severo Ochoa Centre of Excellence since 2011, IRB Barcelona is a CERCA centre and member of the Barcelona Institute of Science and Technology (BIST).

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