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The new system, designed by a team from the UB and IRB Barcelona, will help to improve the diagnosis of cancers and the design of specific treatments for patients.
A team of the University of Barcelona and IRB Barcelona has designed a new bioinformatics tool to identify the chromosomal alterations that are characteristic of cancer cells. This new detection system, known as QATS (QuAntification of Toroidal nuclei in biological imageS), is a computational biological imaging processing tool that will contribute to improving tumour research and classification through its ability to automatically identify and quantify the phenotypes associated with chromosomal instability in the nuclei of cancer cells.
The study, published in the journal Bioinformatics, is signed by Professor Dr. Caroline Mauvezin, from the UB’s Faculty of Medicine and Health Sciences and IDIBAPS, and researcher Dr. Carles Pons, member of IRB Barcelona.
Identifying chromosomal changes in cancer cells
Chromosomal instability is common in solid tumours, and it is linked to both the start and the progression of cancer and the metastasis of cancer cells. This phenomenon, caused by changes in the number and structure of chromosomes during cell division, can induce changes in the DNA and affect the entire cellular machinery. Moreover, chromosomal instability not only favours tumour origin and progression, but also enhances intra-tumour heterogeneity and resistance to anti-tumour treatments.
Cancer cells can survive with high levels of chromosomal instability. The new QATS tool is a predictive system that will help to identify and quantify the toroidal nuclei — new biomarkers of chromosomal instability — in biological images.
“Toroidal nuclei are phenotypically different from normal nuclei, since these present a ring shape and a void with cytosolic material. In the field of research, these have been recently characterized as important biomarkers of chromosomal instability, and they represent an innovative pathway to understand and fight cancer”, notes Dr. Caroline Mauvezin, from the UB’s Department of Biomedicine, who is also an IRB Barcelona Alumni. “Traditionally, the level of chromosomal instability in cancer cells has only been assessed by quantifying micronuclei, which are irregular structures derived from the cell nucleus that may contain chromosomes or chromosomal fragments”, she adds.
“Therefore, integrating the strategy to assess toroidal nuclei into research and clinical practice has immense potential for tumour stratification and the design of patient-specific treatments”, says Dr. Carles Pons, member of the Structural Bioinformatics and Network Biology Laboratory at IRB Barcelona.
Currently, the QATS system has shown its efficiency in identifying and quantifying toroidal nuclei in preclinical studies of cancer cell lines. “In the future, the application of QATS in more complex biological scenarios — human tissue samples from patient biopsies — will represent a breakthrough for the scientific and medical communities to improve cancer diagnosis and patient treatment”, conclude the authors.
The QATS program can be downloaded for free on the website www.toroidalnucleus.org
Reference article:
QATS: An ImageJ plugin for the quantification of toroidal nuclei in biological images
Carles Pons & Caroline Mauvezin
Bioinformatics (2024) DOI: 10.1093/bioinformatics/btae026.
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).
