Recruitment

Recruitment Status
Recruiting
Estimated Enrollment
Same as current

Summary

Conditions
Carcinoma Non-small-cell Lung
Type
Observational
Design
Observational Model: CohortTime Perspective: Prospective

Participation Requirements

Age
Between 18 years and 125 years
Gender
Both males and females

Description

Even with the addition of durvalumab to concurrent chemoradiation, approximately only half of the patients are alive at 3 years, and more have progressed already, either locally or distant. Not much is known regarding to identification of patients that will benefit from adjuvant durvalumab, or regar...

Even with the addition of durvalumab to concurrent chemoradiation, approximately only half of the patients are alive at 3 years, and more have progressed already, either locally or distant. Not much is known regarding to identification of patients that will benefit from adjuvant durvalumab, or regarding resistance to adjuvant durvalumab after chemoradiation. Most data on immunotherapy resistance come from metastatic patients treated with monotherapy PD-(L)1 antagonists. Depending on PD-L1 expression level, 10-44% of patients respond well to PD-(L)1 antagonists. The majority of patients are either unresponsive, or experience a tumor recurrence after achieving an initial response. The development of individual immunological treatment strategies (e.g. selection of best treatment: mono- or combination ICI, ICI combined with chemotherapy, or the addition of radiotherapy) is hampered by the lack of knowledge in the best timing, sequencing, and dosing of all modalities and the lack of optimal biomarkers for monitoring the treatment response. This highlights the need of clear biomarkers that can be used to select the best treatment for each individual patient and predict whether patients will benefit from adjuvant immunotherapy. Currently, there is only limited data available on the functional immune changes after concurrent chemoradiation in NSCLC patients. Identifying the effect of the treatment on immune cells (e.g. T-, B-, NK-cells, dendritic cells, macrophages) and what their functional consequences are is an essential first step to come to prognostic and predictive biomarkers. Many studies investigating the role of immunomodulatory effects of treatment are carried out in either in vitro or in vivo animal models. However, identified factors frequently hamper clinical validation. In addition, as mentioned earlier, although several immunogenic factors have been shown to be released by irradiated tumor cells, so far, only a limited number of studies searched for potential predictive and prognostic immunological biomarkers. This will be the first time that the immune effects of both treatment modalities will be studied, with, in addition, the immune changes during durvalumab treatment, which are also unknown at present. By getting more insight in the treatment-induced immunomodulatory effects, ultimately, in subsequent projects, this will allow to determine optimal immune stimulation and hence improved outcomes of subsequent durvalumab immune therapy.

Tracking Information

NCT #
NCT04432142
Collaborators
Not Provided
Investigators
Principal Investigator: Dirk De Ruysscher, MD, PhD Maastro