Genetics of immunotherapy response in advanced lung cancer

Determining genetic factors that influence response of individual patients with lung cancer to checkpoint immunotherapy

In recent years, new treatments for lung cancer, so-called immunotherapy, have emerged. This form of treatment is based on stimulating the patient's immune system to attack the tumour(s). In some patients these treatments appear to be very successful, but this is not the case for all patients. With this project the aim is to develop a way of predicting whether or not an individual patient will respond to a specific form of immunotherapy with advanced analyses on the genetic material (DNA and RNA) of patients.

It will also be investigated whether very specific variations in the genetic material of an individual person, so-called frame shifts, can be used in the future to develop a fully customized immunotherapy treatment. Advanced computer analyses will be used for this, which will calculate, based on the results of analyses on the genetic material, what a personal anti-cancer vaccine should look like. It will also be investigated whether this computer model can predict whether a patient's immune system will actually respond to the anti-cancer vaccine.

It is expected that the continuation of this project will consist of a study in patients in which the effectiveness of the tailor-made anti-cancer vaccines will be further investigated.

For more information visit the website of Frame cancer therapeutics.

Disclaimer
This collaboration project is co-funded by the PPP Allowance made available by Health~Holland, Top Sector Life Sciences & Health, to EMC to stimulate public-private partnerships. For questions, please contact EMC directly via the following email address tki@erasmusmc.nl.
Summary
Erasmus MC and Frame Pharmaceuticals will investigate the role of frame-shift mutations in anti-tumour immune response, by evaluating frame-shift prevalence in lung tumours using genomics and bioinformatics approaches combined with clinical and treatment response data. This project will form the basis for development of novel, personalised, immunotherapy treatments for lung cancer patients.
Technology Readiness Level (TRL)
3 - 7
Time period
24 months
Partners
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