The goal of this project is to characterize the genetic profile of patients with advanced stage IIIB/IV non-small cell lung cancer (NSCLC) using liquid biopsies
Lung cancers are the first cause of death by cancer in the world. The majority of these patients are diagnosed at a late stage, non-eligible to a curative treatment. Due to tumoral genomic identification, it has been possible to classify NSCLC in molecular subtypes according to molecular abnormalities detection called "drivers" which can be targeted using an appropriate treatment. This change modifies the standard treatments from the very first line of treatment particularly for patients having an EGFR mutation or an ALK or ROS1 rearrangement, with a significant benefit of progression free survival. The French NCI (INCa) recommends to identify genomic alterations of a genes panel including EGFR, KRAS, BRAF, HER2, ALK and ROS1 as well as mutations in MET exon 14. However, all the patients who benefit from a targeted therapy develop resistance after a mean duration of 10-12 months after starting the treatment. In case of progression, the tumour genetic analysis through new biopsies, enables to identify these mechanisms and then to determine if the patient can benefit or not from a third generation molecule active on these mechanisms, and to have a better understanding of the disease evolution. The detection of these alterations is routinely performed using tissular biopsies but in 10 to 20% of the cases, it is not possible. The detection of these molecular abnormalities in the plasma, called " liquid biopsy " is a valuable non-invasive complementary approach for these patients. It is presently used in routine for detecting the EGFR mutations at diagnosis as well as for searching EGFR T790M mutation for resistant patients. The liquid biopsies enable to detect circulating tumoral DNA.
Study Type
OBSERVATIONAL
Enrollment
900
Centre Hospitalier Annecy Genevois
Annecy, France
ACTIVE_NOT_RECRUITINGCH Fleyriat
Bourg-en-Bresse, France
ACTIVE_NOT_RECRUITINGHôpital Louis Pradel
Bron, France
Identification of the genetic profile in advanced or metastatic NSCLC patients using liquid biopsies (circulating tumoral DNA)
Technique: ddPCR + targeted NGF, whole exome sequencing
Time frame: 5 years
Identification of genetic biomarkers (or molecular profiles) having a potential predictive value in the treatments response
Techniques: ddPCR + targeted NGF, whole exome sequencing
Time frame: 5 years
Detection of the ALK and ROS1 genes translocations in the circulating DNA
Techniques: ddPCR + targeted NGF, whole exome sequencing
Time frame: 5 years
Evaluation of the liquid biopsies role in the tumoral monitoring
Correlation between mutated allelic fractions or expression's modification with the treatment response. Techniques: ddPCR + targeted NGF, whole exome sequencing
Time frame: 5 years
Evaluation of genomic and transcriptomic factors detectable in the plasma, associated to the immunotherapy response
Correlation between transcriptomic and genomic factors and response to immunotherapy. Techniques: ddPCR + targeted NGF, whole exome sequencing
Time frame: 5 years
Evaluation of the spatial and temporal tumor heterogeneity under targeted therapy treatment
Techniques: ddPCR + targeted NGF, whole exome sequencing
Time frame: 5 years
Evaluation of the miRNAs' expression in plasma as an epigenetic factor associated to treatments response
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
CHU Grenoble Alpes
Grenoble, France
ACTIVE_NOT_RECRUITINGCentre Léon Bérard
Lyon, France
RECRUITINGCHRU de Saint-Etienne
Saint-Priest-en-Jarez, France
ACTIVE_NOT_RECRUITINGInstitut de Cancérologie Lucien Neuwirth
Saint-Priest-en-Jarez, France
ACTIVE_NOT_RECRUITINGHôpital Nord Ouest
Villefranche-sur-Saône, France
ACTIVE_NOT_RECRUITINGCorrelation between miRNAS expression in plasma and treatment's efficacy. Techniques: miRNAs profiling using HTG technology
Time frame: 5 years
Circulating tumoral cells isolation and analysis to determine the role of non-genomic and/or phenotypic factors in the treatments response.
Single cell isolation technology
Time frame: 5 years
Evaluation of the resistance mechanisms to targeted therapies
Technique: ddPCR + targeted NGF, whole exome sequencing
Time frame: 5 years