Epidemiologic multicenter prospective study in advanced NSCLC patients with PDL1 expression : evaluation of clinical and pathological characteristics of PDL1 high expression patients compared to patients with a weak or no expression of PDL1.
Few data are published on the clinical and pathological characteristics of advanced NSCLC with high PDL1 expression compare to weak and no expression populations. There is not for the moment a standard test to determine a relevant target population. Preliminary data showed that around 25% of the NSCLC population may have a high PDL1 expression and may have a greater benefit of anti PDL1 therapy. But in fact limited data have been published in European populations on the clinical and pathological characteristics (high PDL1 expression) compared to the weak expression and no expression populations. More over the prognosis rule of a high PDL1 expression in NSCLC is not definitive, with some studies indicating it is a positive prognostic factor while other studies showing that it is a negative prognostic factor. To understand if there are differences in terms of prognostic between advanced NSCLC with high and low/no expression of PDL1 is a major challenge for the future management strategy of these patients. The results of this study should helps to elaborate new guidelines for this population. Therefore is also important to had data's on the natural course of the disease in these population for building cost effectiveness models of new immune therapies.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
OTHER
Masking
NONE
Enrollment
170
Intervention : 2 biopsy slides will be analyzed in central laboratory.
Centre Hospitalier D Argenteuil
Argenteuil, VAL D'oise, France
Site 12
Aix-en-Provence, France
Centre Hospitalier Universitaire
Angers, France
description of the PDL1 expression groups as follows : PDL1 negative, PDL1 positive, PDL1 weak, PDL1 strongly positive.
Descriptive and comparative analyses of different sub-populations will be performed with qualitative and quantitative variables. Quantitative variables will be described using the following descriptive statistics: sample size, number of missing values, mean, standard deviation, median, minimum and maximum. Qualitative variables will be described using the following descriptive statistics: sample size, number of missing values and percentage of each modality calculated from the responses expressed. The bivariate statistical analyses performed will be subjected to statistical tests, based on the nature of the variables analyzed.
Time frame: 24 Months
Clinical characteristics of PDL1 high expression patients compared to patients with a weak or no expression of PDL1.
Descriptive and comparative analyses of different sub-populations will be performed with qualitative and quantitative variables. Quantitative variables will be described using the following descriptive statistics: sample size, number of missing values, mean, standard deviation, median, minimum and maximum. Qualitative variables will be described using the following descriptive statistics: sample size, number of missing values and percentage of each modality calculated from the responses expressed. The bivariate statistical analyses performed will be subjected to statistical tests, based on the nature of the variables analyzed.
Time frame: 24 Months
Pathological characteristics of PDL1 high expression patients compared to patients with a weak or no expression of PDL1.
Descriptive and comparative analyses of different sub-populations will be performed with qualitative and quantitative variables. Quantitative variables will be described using the following descriptive statistics: sample size, number of missing values, mean, standard deviation, median, minimum and maximum. Qualitative variables will be described using the following descriptive statistics: sample size, number of missing values and percentage of each modality calculated from the responses expressed. The bivariate statistical analyses performed will be subjected to statistical tests, based on the nature of the variables analyzed.
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Site 22
Beauvais, France
Centre Hospitalier du Morvan
Brest, France
Site 48
Clermont-Ferrand, France
Site 33
Créteil, France
Site 04
Gap, France
Centre Hospitalier Les Oudairies
La Roche-sur-Yon, France
Centre Hospitalier Universitaire DUPUYTREN
Limoges, France
...and 3 more locations
Time frame: 24 Months
Clinical analysis of the patients' outcome : measure of Overall Survival (OS).
Descriptive and comparative analyses of different sub-populations will be performed with qualitative and quantitative variables. Quantitative variables will be described using the following descriptive statistics: sample size, number of missing values, mean, standard deviation, median, minimum and maximum. Qualitative variables will be described using the following descriptive statistics: sample size, number of missing values and percentage of each modality calculated from the responses expressed. The bivariate statistical analyses performed will be subjected to statistical tests, based on the nature of the variables analyzed.
Time frame: 24 Months
Immune characteristics of high PDL1 expression, concordance between PDL1 expression and description of immune environment measured through density of the intra tumoral Cluster of differentiation 8+ lymphocyte T cell (CD8+ Tcells/mDC).
The density of tumoral T cells will be described in the overall population and each subgroup through descriptive statistics. The Chi2 test will be used to assess the significance of the difference between the different subgroups.
Time frame: 24 Months
Quality of life of the patients measured at each cycle of therapy thanks to EuroQol Group 5-Dimension Self-Report Questionnaire score (EQ5D questionnaire).
A descriptive analysis of the answers to the EQ5D will be performed. Evolution of the EQ5D profile will be evaluated. Exploratory analyzes of various risk factors of impaired quality of life will be realized. The proportion of patients reporting "no", "some", or "extreme" EQ5D health state profiles at pre-specified time points will be described.
Time frame: 24 Months
Measure of the Health Care Resource Use (HCRU) associated to the management of the patients thanks to EQ5D (EuroQol Group 5-Dimension Self-ReportQuestionnaire score) questionnaire.
Health Care Resource Use consumption will be measured associated to EQ5D questionnaire answers.
Time frame: 24 Months