- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04677205
Molecular Signature From Tumor to Lymph Nodes (N2-3S)
Molecular Signature From Tumor to Lymph Nodes: How to Identify the Right Candidate for IIIA-N2 Lung Cancer Surgery?
Mediastinal lymph node (LN) involvement (N2) in non-small cell lung cancer (NSCLC) concerns 15% of resectable tumors and is associated with a poor prognosis and an overall survival reaching 9 to 49%. Literature fails to provide any definitive consensus regarding the management of these patients, except for the platinum-based doublet chemotherapy. The N2 involvement remains a matter of debate because of its not yet well-classified heterogeneity. Regarding anatomy, the Mountain and Dresler's regional LN classification for lung cancer staging remains the reference. Different studies classified IIIA-N2 disease into 4 groups, in addition to the skip-N2 phenomenon: minimal-N2, N2 single station, N2 multiple stations, and bulky-N2. Other subgroups were recently proposed for the 8th edition of the TNM: N2a1 - single station skip, N2a2 - single station non-skip, N2b - multiple stations.
The French National Cancer Institute (INCa) proposed guidelines, but in case of cN2 staging without mediastinal infiltration, guidelines remained imprecise ("resectability should be discussed for each case") and suggested surgery first, or induction chemotherapy, or concomitant chemoradiation.
Thus, optimal management of cIIIA-N2 remains controversial but complete tumor resection can be related to long-term survival in some patients, including 10 years after surgery [1]. In this situation, the identification of markers that will help select IIIA-N2 patients who will benefit from surgical resection is mandatory.
Study Overview
Status
Detailed Description
We planned a comprehensive molecular characterization of tumors and lymph nodes to evaluate the impact of molecular signatures and molecular heterogeneity on disease-free survival after surgery in IIIA-N2 NSCLC patients. Identification of specific molecular profiles in primary tumors and evolution profiles in nodes might provide clues to the potential risk of metastatic evolution and trigger specific management.
For patients included prospectively, we planned to analyze cell free circulating tumor DNA (ctDNA) as prognostic marker. Because multiple biopsies are not always available in care settings, ctDNA could also be analyzed as a surrogate marker of molecular heterogeneity. Next generation sequencing (NGS) that was validated in our lab to screen ctDNA using a specific bio-informatics workflow allows accurate and cost effective ctDNA screening
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Antoine LEGRAS, MD PhD
- Phone Number: 33 2 47474747
- Email: antlegras@gmail.com
Study Contact Backup
- Name: Liliane HAMMANI-BERKANI, MSc
- Phone Number: 33 156093762
- Email: liliane.berkani@aphp.fr
Study Locations
-
-
-
Bordeaux, France
- Not yet recruiting
- Hôpital du Haut-Lévêque, CHU de Bordeaux
-
Contact:
- Jacques JOUGON, Pr
-
Clamart, France
- Not yet recruiting
- Hôpital MILITAIRE PERCY
-
Contact:
- Bertrand GRAND, Dr
-
Marseille, France
- Not yet recruiting
- Hôpital Nord
-
Contact:
- Pascal THOMAS, Pr
-
Nice, France
- Not yet recruiting
- Hôpital Pasteur, CHU de Nice
-
Contact:
- Jérome MOUROUX, Pr
-
Paris, France, 75015
- Recruiting
- Hôpital Européen Georges-Pompidou
-
Contact:
- Françoise LE PIMPEC-BARTHES, Pr
-
Paris, France
- Not yet recruiting
- Hopital Cochin
-
Contact:
- Marco ALIFANO, Pr
-
Paris, France
- Not yet recruiting
- Hopital Bichat
-
Contact:
- Pierre MORDANT, Dr
-
Paris, France, 75015
- Active, not recruiting
- Hegp-Aphp
-
Rennes, France
- Not yet recruiting
- Hôpital Pontchaillou, CHU de Rennes
-
Contact:
- Bertrand RICHARD DE LA TOUR, PR
-
Strasbourg, France
- Not yet recruiting
- Hopitaux Universitaires de Strasbourg
-
Contact:
- MASSARD Gilbert, Pr
-
Toulouse, France
- Not yet recruiting
- Hôpital Larrey, CHU de Toulouse
-
Contact:
- Laurent BROUCHET, Pr
-
Tours, France
- Not yet recruiting
- CHRU de Tours
-
Contact:
- Antoine LEGRAS, Dr
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
230 patients in 11 French centers in order to have 200 eligible patients. Objectives are 120 patients recruited retrospectively and 110 prospectively.
Inclusion criteria are: all consecutive patients operated with a curative intent for an IIIA-cN2 NSCLC.
Description
Inclusion Criteria:
- Adult patient, men and women age >18 years
- Patients operated with a curative intent for an IIIA-cN2 NSCLC
- Social security affiliation
- Written informed consent for patient included in part 2 (prospective) or not opposing the use of this data for patient included in part 1 (retrospective)
Exclusion Criteria:
- Patient with T4, R1 or R2 surgical resection, sublobar resection, no radical lymphadenectomy
- Patient under protectives measures
- Pregnancy or breast-feeding
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Cross-Sectional
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
3-year disease-free survival
Time Frame: 3 years
|
To identify a molecular signature based on a comprehensive molecular analysis at genomic and transcriptomic levels linked to 3-year disease-free survival in resected IIIA-N2 NSCLC.
|
3 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
5-year disease-free survival
Time Frame: 5 years
|
To identify a molecular signature based on a comprehensive molecular analysis at genomic and transcriptomic levels linked to 5-year disease-free survival in resected IIIA-N2 NSCLC.
|
5 years
|
pathological architectural patterns WHO 2015 classification
Time Frame: 5 years
|
To evaluate the impact of the pathological architectural patterns WHO 2015 classification on the 5-year cancer-specific survival and the 5-year overall survival
|
5 years
|
anatomical lymphatic spread
Time Frame: at the end of molecular analyses
|
To identify tumor molecular patterns associated with specific anatomical lymphatic spread subgroups.
|
at the end of molecular analyses
|
ctDNA
Time Frame: 3 years
|
To assess ctDNA prognostic impact, before and after surgery.
|
3 years
|
Collaborators and Investigators
Investigators
- Principal Investigator: Helene BLONS, PharmD PhD, Hôpital Européen Georges-Pompidou
Publications and helpful links
General Publications
- Altman DG, McShane LM, Sauerbrei W, Taube SE. Reporting recommendations for tumor marker prognostic studies (REMARK): explanation and elaboration. BMC Med. 2012 May 29;10:51. doi: 10.1186/1741-7015-10-51.
- Legras A, Mordant P, Arame A, Foucault C, Dujon A, Le Pimpec Barthes F, Riquet M. Long-term survival of patients with pN2 lung cancer according to the pattern of lymphatic spread. Ann Thorac Surg. 2014 Apr;97(4):1156-62. doi: 10.1016/j.athoracsur.2013.12.047. Epub 2014 Feb 26.
- Lin IF, Chang WP, Liao YN. Shrinkage methods enhanced the accuracy of parameter estimation using Cox models with small number of events. J Clin Epidemiol. 2013 Jul;66(7):743-51. doi: 10.1016/j.jclinepi.2013.02.002. Epub 2013 Apr 6.
- Peduzzi P, Concato J, Feinstein AR, Holford TR. Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates. J Clin Epidemiol. 1995 Dec;48(12):1503-10. doi: 10.1016/0895-4356(95)00048-8.
- Tapak L, Saidijam M, Sadeghifar M, Poorolajal J, Mahjub H. Competing risks data analysis with high-dimensional covariates: an application in bladder cancer. Genomics Proteomics Bioinformatics. 2015 Jun;13(3):169-76. doi: 10.1016/j.gpb.2015.04.001. Epub 2015 Apr 20.
- Um SW, Joung JG, Lee H, Kim H, Kim KT, Park J, Hayes DN, Park WY. Molecular Evolution Patterns in Metastatic Lymph Nodes Reflect the Differential Treatment Response of Advanced Primary Lung Cancer. Cancer Res. 2016 Nov 15;76(22):6568-6576. doi: 10.1158/0008-5472.CAN-16-0873. Epub 2016 Sep 13.
- Vittinghoff E, McCulloch CE. Relaxing the rule of ten events per variable in logistic and Cox regression. Am J Epidemiol. 2007 Mar 15;165(6):710-8. doi: 10.1093/aje/kwk052. Epub 2006 Dec 20.
- Pecuchet N, Rozenholc Y, Zonta E, Pietrasz D, Didelot A, Combe P, Gibault L, Bachet JB, Taly V, Fabre E, Blons H, Laurent-Puig P. Analysis of Base-Position Error Rate of Next-Generation Sequencing to Detect Tumor Mutations in Circulating DNA. Clin Chem. 2016 Nov;62(11):1492-1503. doi: 10.1373/clinchem.2016.258236. Epub 2016 Sep 13.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- D20180155 (Other Identifier: Assistance Publique - Hôpitaux de Paris)
- 2019-A02635-52 (Other Identifier: N° IDRCB)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
Data sharing must be accepted by the sponsor and the PI based on a scientific project and scientific involvement of the PI team. Collaboration will be fostered.
Teams wishing obtain IPD must meet the sponsor and IP team to present scientifics (and commercial) purpose, IPD needed, format of data transmission, and timeframe. Technical feasibility and financial support will be discussed before mandatory contractualization. Processing of shared data must comply with European General Data Protection Regulation (GDPR).
IPD Sharing Supporting Information Type
- Study Protocol
- Informed Consent Form (ICF)
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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