Clinical trial · Observational
Predicting Non-small Cell Lung Cancer (NSCLC) Lymph Node Metastasis: Integrating Circulating Tumor DNA (ctDNA) Mutation/ Methylation Profiling With Positron Emission Tomography-computed Tomography (PET-CT) Scan
Predicting NSCLC Lymph Node Metastasis: Integrating ctDNA Mutation/ Methylation Profiling With PET-CT Scan: The LUNon-invasive Study
NCT06358222CI-TRIAL-00089869recruitingClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This is a single center, prospective and observational study conducted in three stages to predict the NSCLC lymph node metastasis based on ctDNA/specific methylation molecular features combined with PET-CT imaging features and intervention study.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Carcinoma | Carcinoma | ONTOLOGY_EXACT | 0.98 |
| Non-small Cell Lung Cancer | Lung Non-Small Cell Carcinoma | ALIAS | 0.90 |
Interventions
Interventions (3)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Blood ctDNA + methylation + PET-CT and Postoperative pathology | Procedure | — | UNRESOLVED |
| Intraoperative lymph node dissection | Procedure | — | UNRESOLVED |
| MRD+ methylation (or combined with PET-CT) and Invasive mediastinoscopy /EBUS-TBNA | Procedure | — | UNRESOLVED |
Design
Arms and outcomes
Arms (3)
- label
- Blood ctDNA + methylation + PET-CT vs Postoperative pathology
- interventionNames
- Procedure: Blood ctDNA + methylation + PET-CT and Postoperative pathology
- label
- MRD+ methylation (or combined with PET-CT) vs Invasive mediastinoscopy /EBUS-TBNA
- interventionNames
- Procedure: MRD+ methylation (or combined with PET-CT) and Invasive mediastinoscopy /EBUS-TBNA
- label
- Lymph Node dissection vs no lymph node dissection
- interventionNames
- Procedure: Intraoperative lymph node dissection
Primary outcomes (3)
- measure
- Negative prediction value (NPV) of lymph node metastasis rates
- timeFrame
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 75 Years
Show eligibility criteria text
Inclusion Criteria: 1. Provision of informed consent prior to study initiation. 2. Age between 18 and 75 years. 3. Preoperative clinical evaluation indicating non-small cell lung cancer (NSCLC) stage I-IIIB (without initial treatment sought). 4. Newly treated patients who have consented to undergo surgery. 5. Eastern Cooperative Oncology Group (ECOG) performance status (PS) score of 0-1. Exclusion Criteria: 1. Non-small cell lung cancer (NSCLC) histopathologically determined to be other than stage I-IIIB following surgical evaluation. 2. Presence of other active malignant tumor diseases. 3. Evidence of any serious or uncontrolled systemic illness, including uncontrolled hypertension and active bleeding, as assessed by the investigator, which may contribute to reluctance to participate in the trial or decrease adherence to the study regimen. Additionally, active infectious diseases such as hepatitis B, hepatitis C, and human immunodeficiency virus (HIV) infection are grounds for exclusion. 4. History of interstitial lung disease (ILD), drug-induced ILD, radiation pneumonitis requiring steroid therapy, or any indication of clinically active ILD. 5. Patients considered by the investigator to be unable to comply with the study protocol, restrictions, and requirements, or those facing circumstances at the investigator's discretion that would impede their participation in the study.
References
Publications (6)
- RESULTAbbosh C, Birkbak NJ, Wilson GA, Jamal-Hanjani M, Constantin T, Salari R, Le Quesne J, Moore DA, Veeriah S, Rosenthal R, Marafioti T, Kirkizlar E, Watkins TBK, McGranahan N, Ward S, Martinson L, Riley J, Fraioli F, Al Bakir M, Gronroos E, Zambrana F, Endozo R, Bi WL, Fennessy FM, Sponer N, Johnson D, Laycock J, Shafi S, Czyzewska-Khan J, Rowan A, Chambers T, Matthews N, Turajlic S, Hiley C, Lee SM, Forster MD, Ahmad T, Falzon M, Borg E, Lawrence D, Hayward M, Kolvekar S, Panagiotopoulos N, Janes SM, Thakrar R, Ahmed A, Blackhall F, Summers Y, Hafez D, Naik A, Ganguly A, Kareht S, Shah R, Joseph L, Marie Quinn A, Crosbie PA, Naidu B, Middleton G, Langman G, Trotter S, Nicolson M, Remmen H, Kerr K, Chetty M, Gomersall L, Fennell DA, Nakas A, Rathinam S, Anand G, Khan S, Russell P, Ezhil V, Ismail B, Irvin-Sellers M, Prakash V, Lester JF, Kornaszewska M, Attanoos R, Adams H, Davies H, Oukrif D, Akarca AU, Hartley JA, Lowe HL, Lock S, Iles N, Bell H, Ngai Y, Elgar G, Szallasi Z, Schwarz RF, Herrero J, Stewart A, Quezada SA, Peggs KS, Van Loo P, Dive C, Lin CJ, Rabinowitz M, Aerts HJWL, Hackshaw A, Shaw JA, Zimmermann BG; TRACERx consortium; PEACE consortium; Swanton C. Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution. Nature. 2017 Apr 26;545(7655):446-451. doi: 10.1038/nature22364. PMID 28445469
- RESULTChaudhuri AA, Chabon JJ, Lovejoy AF, Newman AM, Stehr H, Azad TD, Khodadoust MS, Esfahani MS, Liu CL, Zhou L, Scherer F, Kurtz DM, Say C, Carter JN, Merriott DJ, Dudley JC, Binkley MS, Modlin L, Padda SK, Gensheimer MF, West RB, Shrager JB, Neal JW, Wakelee HA, Loo BW Jr, Alizadeh AA, Diehn M. Early Detection of Molecular Residual Disease in Localized Lung Cancer by Circulating Tumor DNA Profiling. Cancer Discov. 2017 Dec;7(12):1394-1403. doi: 10.1158/2159-8290.CD-17-0716. Epub 2017 Sep 24. PMID 28899864
- RESULTChen K, Zhao H, Shi Y, Yang F, Wang LT, Kang G, Nie Y, Wang J. Perioperative Dynamic Changes in Circulating Tumor DNA in Patients with Lung Cancer (DYNAMIC). Clin Cancer Res. 2019 Dec 1;25(23):7058-7067. doi: 10.1158/1078-0432.CCR-19-1213. Epub 2019 Aug 22. PMID 31439586
- RESULTTravis WD, Brambilla E, Nicholson AG, Yatabe Y, Austin JHM, Beasley MB, Chirieac LR, Dacic S, Duhig E, Flieder DB, Geisinger K, Hirsch FR, Ishikawa Y, Kerr KM, Noguchi M, Pelosi G, Powell CA, Tsao MS, Wistuba I; WHO Panel. The 2015 World Health Organization Classification of Lung Tumors: Impact of Genetic, Clinical and Radiologic Advances Since the 2004 Classification. J Thorac Oncol. 2015 Sep;10(9):1243-1260. doi: 10.1097/JTO.0000000000000630.