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Novel tool counts T cells quickly helping predict patient response to cancer therapy

8 September 2021

Scientists at 果冻影院 and the Francis Crick Institute, London, have developed a new tool, which can rapidly estimate the number of T cells (immune cells) in a cancerous tumour*; to help predict a patient鈥檚 response to immunotherapy.

Electron microscope image of T regulatory cells

Researchers are hopeful that the new findings听could enable more targeted and effective cancer therapies.

As part of the Cancer Research UK-funded TRACERx project, published in Nature, scientists analysed DNA sequencing data from patients鈥 cancerous tumours, to see if they could quantify the fraction of T cells within a sample.

Explaining the research, corresponding author Dr Nicholas McGranahan (果冻影院 Cancer Institute), said: 鈥淒NA sequencing is frequently performed on cancer patient鈥檚 tumours for patient stratification and to understand how a cancer has developed.

鈥淓stimation of immune cells, which are important for controlling cancers, influencing patient survival and guiding treatment, has in the past not been possible to estimate solely from DNA sequencing data.

鈥淲e aimed to explore whether we could develop a novel method to elucidate immune cells directly from DNA sequencing, without the need for more data.鈥

DNA sequencing allows scientists to see the evolutionary history of how individual tumours have developed. In this research they developed a tool (or method) to 鈥榣ook back鈥 and calculate levels of T cell 鈥VDJ recombination鈥; this is a process in T cells**, in which they are reassembled or altered and given the tools, allowing them to identify and attack invaders.

Specifically, they found a 鈥榮ignal鈥, which indicated the loss of T cell receptor excision circles (TRECs), needed for T cell maturation, which occurred during VDJ recombination. By giving this 鈥榣oss鈥 a score, they were able to estimate accurately the number of T cells present in the tumour.

Dr McGranahan added: 鈥淲e show that this score can be used to predict response to immunotherapy and immune evasion mechanisms.

鈥淭he score can also be applied to DNA sequencing data derived from normal blood samples that are typically collected but until now have not been able to be systematically analysed for immune content.鈥

Why this will help immunotherapy

In recent years checkpoint inhibitors (CPIs), a type of immunotherapy, have emerged

as a revolutionary treatment for many cancer types.

CPIs work by blocking proteins called checkpoints, that are made by T cells; these checkpoints help keep immune responses from being too strong and sometimes can keep T cells from killing cancer cells. When these checkpoints are blocked, T cells can kill cancer cells better.

One of the biomarkers found which predict the likely success of immunotherapy is the quantity of T cells present. The more T cells available for CPIs to adapt, the more cancer cells can be destroyed.

First author Dr Robert Bentham, Senior Research Fellow (果冻影院 Cancer Institute), said: 鈥Quantifying T cell infiltration directly from DNA sequencing provides greater predictive power of patient response to treatment without the need for additional data.

鈥淚ndeed, the process we鈥檝e developed can be done without additional time or cost, beyond standard DNA sequencing.

鈥淥ur tool will also enable more research into the immune system, not only in the context of cancer.鈥澨

Scientists say, as the tool has only been used in research so far, they will need to develop it further before it can be made available for clinical use.听

果冻影院 was assisted in this study by research partners at the Francis Crick Institute, London, and used patient samples from the CRUK-funded TRACERx study, led by Professor Charles Swanton, Group Leader at the Crick and Director of the 果冻影院 CRUK Lung Cancer Centre of Excellence.

Funding was received from Wellcome, Cancer Research UK and Rosetrees.

* The tool/method can work on any sequencing data, so could be applied to other conditions, where DNA sequencing is available.

** VDJ recombination also occurs in B cells (in a different gene). This method could be extended to B cells in future.

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Image

  • Electron microscope image of T regulatory cells (red) interacting with antigen-presenting cells (blue). Credit听

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