by University College London

SPRINTER identifies tumor clone proliferation heterogeneity in patient CRUKP9145 with NSCLC. Credit: Nature Genetics (2024). DOI: 10.1038/s41588-024-01989-z

The first computer algorithm capable of identifying which tumor cells are driving aggressive cancer growth has been developed by scientists from UCL and The Francis Crick Institute.

The innovative algorithm, called SPRINTER, analyzes individual cells within a tumor to identify those that are growing the most rapidly. The technology could eventually help clinicians to detect fast-growing cancer cells in early-stage tumors and predict how a patient's cancer might progress.

The researchers detailed their work in a new study published in Nature Genetics.

Dr. Simone Zaccaria, senior author of the study from UCL Cancer Institute, said, "The importance of having access to sophisticated computational algorithms in this work cannot be overstated. It helped us to process large amounts of complex data quickly and accurately, uncovering patterns in cell growth which would be impossible to spot manually.

"Future progress in cancer research hinges on the use of cutting-edge technologies to pave the way for more precise interventions and better patient outcomes."

Developing new targeted cancer treatments is challenging because tumors consist of diverse and complex populations of cancer cells. This means that different cells within the same tumor can respond differently to treatments, evolve resistance, or adapt in unexpected ways.

Dr. Zaccaria and his team wanted to find a way to differentiate between these cell populations by identifying which were the fastest growing and therefore the most likely to impact a patient's prognosis.

The SPRINTER algorithm. Credit: Nature Genetics (2024). DOI: 10.1038/s41588-024-01989-z

The team used SPRINTER to analyze nearly 15,000 cancer cells from a patient with non-small cell lung cancer, the most common type of lung cancer.

This allowed the team to compare cells from both the patient's primary tumor and tumors that had spread to other parts of the body as the cancer developed.

SPRINTER revealed that the cells that were growing the fastest were responsible for spreading the cancer to other parts of the body, and that these cells were also responsible for seeding additional secondary tumors (rather than all secondary tumors originating from the primary tumor).

It also showed that these cells shed more of their DNA into the bloodstream, also known as circulating tumor DNA (ctDNA). This presents an opportunity to develop blood tests which could identify the aggressive cells which drive a patient's tumor with a simple and minimally invasive procedure.

Executive Director of Research and Innovation at Cancer Research UK, Dr. Iain Foulkes, said, "This research is another crucial step in our efforts to improve the outlook for people affected by lung cancer, while also providing valuable insights into the fundamental biology of all cancers. From uncovering the causes of lung cancer to pioneering drugs to treat it and campaigning for change, Cancer Research UK is powering progress for people impacted by the disease."

The researchers hope that these findings will lay the foundations for further clinical studies, bringing the insights gained from SPRINTER into real-world cancer treatment. The possibility of detecting aggressive cancer cell populations early and monitoring them over time offers a new avenue for more proactive and personalized cancer care.

The patient who participated in this study was also enrolled in the TRACERx and PEACE studies, which work in tandem to track the evolution of lung cancer from when a patient is diagnosed to their death.

Professor Charles Swanton, Cancer Research UK's chief clinician from UCL Cancer Institute and the Francis Crick Institute, said, "This research demonstrates the profound impact of pioneering studies like TRACERx and PEACE on our understanding of cancer. By leveraging cutting-edge technologies and bringing together some of the brightest minds in cancer research, these studies are unraveling the complexities of cancer progression and evolution."

More information: Olivia Lucas et al, Characterizing the evolutionary dynamics of cancer proliferation in single-cell clones with SPRINTER, Nature Genetics (2024). DOI: 10.1038/s41588-024-01989-z

Journal information: Nature Genetics 

Provided by University College London