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| Name | Class |
|---|---|
| APHP | OTHER |
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The goal of the present research is to identify an "EMT signature", associated with long term disease-free survival after surgery in NSCLC. This study will potentially lead to specific treatment recommendations, thanks to an integrated molecular approach including DNA, RNA and miR profiling In vitro analyses using lung cancer cell lines will subsequently be conducted to validate markers identified in tumor screenings.
One critical issue in studying oncogenesis is the comprehensive understanding of tumor genome complexity. Molecular subtypes may be identified through large-scale molecular screenings or gene expression analyses and molecular signatures are recognized as a relevant source of disease stratification.
The investigators will focus on NSCLC patients with localized diseases included in the ONCOHEGP tissue collection project (OncoHEGP, Ministere de la Recherche n° DC 2009-950). The investigators had previously shown that in EGFR mutated cancer, reactivation of TWIST1 was reversibly linked to EMT and to survival. To go further, the investigators plane to investigate EMT in a large cohort of patients with lung cancer to identify prognostic and predictive markers of long term survival.
The investigators will integrate mutation, and copy number alterations to EMT gene expression analyses and to EMT related miR quantification. Tumor phenotype, miR signatures, mutation status will help classify patients according to survival.
Clinical data will be assessed thanks to the epithor database. Epithor is a government-recognized clinical database, accredited by the French Health Authorities (Haute Autorité de Santé) and is supported by the National Cancer Institute (Institut National du Cancer).
EMT characterization and scoring will be done using 10 markers by qPCR, mutation and CNV screenings by targeted NGS analysis, miRs signature by MIRSeq and qPCR.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| NSCLC | NSCLC localized disease treated by surgery |
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| Measure | Description | Time Frame |
|---|---|---|
| Relapse free survival | Time to relapse after surgery | 1 year |
| Overall survival | Time to death | 5 years |
| Measure | Description | Time Frame |
|---|---|---|
| Overall survival | Time to death | 3 years |
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Inclusion Criteria:
Exclusion Criteria:
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All patients treated by surgery at HEGP having signed the ONCOHEGP consent are eligible to this observational study
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Helene BLONS, PharmD PhD | Contact | 00 33 156095686 | helene.blons@aphp.fr | |
| Antoine Legras, MD PhD | Contact | antoine.legras@aphp.fr |
| Name | Affiliation | Role |
|---|---|---|
| Francoise Lepimpec Barthes, MD PhD | APHP | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Aphp Hegp | Recruiting | Paris | 75015 | France |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 37189151 | Derived | Garinet S, Didelot A, Marisa L, Beinse G, Sroussi M, Le Pimpec-Barthes F, Fabre E, Gibault L, Laurent-Puig P, Mouillet-Richard S, Legras A, Blons H. A novel Chr1-miR-200 driven whole transcriptome signature shapes tumor immune microenvironment and predicts relapse in early-stage lung adenocarcinoma. J Transl Med. 2023 May 15;21(1):324. doi: 10.1186/s12967-023-04086-7. |
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| ID | Term |
|---|---|
| D002289 | Carcinoma, Non-Small-Cell Lung |
| D018450 | Disease Progression |
| ID | Term |
|---|---|
| D002283 | Carcinoma, Bronchogenic |
| D001984 | Bronchial Neoplasms |
| D008175 | Lung Neoplasms |
| D012142 | Respiratory Tract Neoplasms |
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Tumor samples analyzed for somatic mutations using NGS
| D013899 |
| Thoracic Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |