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Recruiting NCT06167460

Analysis of Circulating Tumor DNA Dynamics to Predict and Monitor Response to TKI in Patients With Advanced NSCLC.

— Observational Non Small Cell Lung Cancer Stage IIIB Non-small Cell Lung Cancer Stage IIIC Non-Small Cell Lung Cancer Stage IV Non-small Cell Lung Cancer

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
This is an observational study: the protocol does not assign a study treatment.
Who it may be relevant to
Registry conditions: Non Small Cell Lung Cancer, Stage IIIB Non-small Cell Lung Cancer, Stage IIIC Non-Small Cell Lung Cancer, Stage IV Non-small Cell Lung Cancer. Basic parameters: 18 years — 80 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
Vietnam
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

Unsure about the terms? Read our patient guide →

Official title

Analysis of Circulating Tumor DNA Dynamics to Predict and Monitor Response to Tyrosine Kinase Inhibitors in Patients With Advanced Non-small Cell Lung Cancer

Overview

This is an observational study, aiming to investigate whether the ctDNA dynamics analyzed by the K-TrackTM assay could predict early response to Tyrosine kinase inhibitors (TKIs) in patients with advanced non-small cell lung cancer (NSCLC). 1. Determine relationship between ctDNA dynamics and clinical response to TKI, * No response/progressive disease = ctDNA levels increase from baseline * Partial response/stable disease = ctDNA levels decrease from baseline * Complete response = ctDNA clearance. 2. Compare and combine ctDNA dynamics and RECIST1.1 to predict clinical response. 3. Determine relationship between ctDNA dynamics and progression free survival, overall survival.

Detailed description

This study is recruiting female and male patients, aged 18 and older:

* Who are diagnosed with advanced non-small cell lung cancer and indicated for TKI (first or second line). TKI combined with chemotherapy is allowed, * Who have not started TKI / chemotherapy before enrollment, * Who have no medical or psychiatric conditions or occupational responsibilities that may preclude compliance with the protocol, * FFPE/FNA sample is available, * Compliant with treatment protocol, * Patients consented to participate in the study. As part of the protocol, demographic data, medical and family history, and any relevant prior concomitant medication data will be recorded during follow-up visits. All patients are to be followed for 2 years from enrollment, with CT scan imaging measured every clinical visit for 24 months.

Sample collection:

* 10 mL of peripheral blood (in Streck tubes) is collected for ctDNA analysis at 8 time points: pre-treatment (\<10 days before TKI), during TKI every 3 months until 21 months. * 6-8 sections of formalin-fixed paraffin-embedded (FFPE) tumor samples before TKI/chemotherapy treatment.

Primary outcome measures

  • Relationship between ctDNA dynamics and clinical response to TKI [Time frame: 24 months following up.]
  • To compare and combine ctDNA dynamics and RECIST1.1 to predict clinical response. [Time frame: 24 months following up.]
  • To investigate the relationship between ctDNA dynamics and progression free survival, overall survival. [Time frame: 24 months following up.]

Eligibility criteria

Inclusion criteria

  • Patients are diagnosed with advanced non-small cell lung cancer and indicated for TKI (first or second line). TKI combined with chemotherapy is allowed.
  • FFPE/FNA sample is available.
  • Compliant with treatment protocol.
  • Patients consented to participate in the study.

Exclusion criteria

  • Patients already started TKI before enrollment.
  • Patients already started chemotherapy before enrollment.
  • Medical or psychiatric conditions or occupational responsibilities that may preclude compliance with the protocol.
  • Patients did not agree to participate in the studies.

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: No

Study design

Observational model
Cohort

Study locations

Vietnam · 1 center
  • Medical Genetics Institute — Ho Chi Minh City

Publications

  • Yang J, Gong Y, Lam VK, Shi Y, Guan Y, Zhang Y, Ji L, Chen Y, Zhao Y, Qian F, Chen J, Li P, Zhang F, Wang J, Zhang X, Yang L, Kopetz S, Futreal PA, Zhang J, Yi X, Xia X, Yu P. Deep sequencing of circulating tumor DNA detects molecular residual disease and predicts recurrence in gastric cancer. Cell Death Dis. 2020 May 11;11(5):346. doi: 10.1038/s41419-020-2531-z. PMID 32393783
  • Reinert T, Henriksen TV, Christensen E, Sharma S, Salari R, Sethi H, Knudsen M, Nordentoft I, Wu HT, Tin AS, Heilskov Rasmussen M, Vang S, Shchegrova S, Frydendahl Boll Johansen A, Srinivasan R, Assaf Z, Balcioglu M, Olson A, Dashner S, Hafez D, Navarro S, Goel S, Rabinowitz M, Billings P, Sigurjonsson S, Dyrskjot L, Swenerton R, Aleshin A, Laurberg S, Husted Madsen A, Kannerup AS, Stribolt K, Pal PMID 31070691
  • Magbanua MJM, Swigart LB, Wu HT, Hirst GL, Yau C, Wolf DM, Tin A, Salari R, Shchegrova S, Pawar H, Delson AL, DeMichele A, Liu MC, Chien AJ, Tripathy D, Asare S, Lin CJ, Billings P, Aleshin A, Sethi H, Louie M, Zimmermann B, Esserman LJ, van 't Veer LJ. Circulating tumor DNA in neoadjuvant-treated breast cancer reflects response and survival. Ann Oncol. 2021 Feb;32(2):229-239. doi: 10.1016/j.annon PMID 33232761
  • Christensen E, Birkenkamp-Demtroder K, Sethi H, Shchegrova S, Salari R, Nordentoft I, Wu HT, Knudsen M, Lamy P, Lindskrog SV, Taber A, Balcioglu M, Vang S, Assaf Z, Sharma S, Tin AS, Srinivasan R, Hafez D, Reinert T, Navarro S, Olson A, Ram R, Dashner S, Rabinowitz M, Billings P, Sigurjonsson S, Andersen CL, Swenerton R, Aleshin A, Zimmermann B, Agerbaek M, Lin CJ, Jensen JB, Dyrskjot L. Early Det PMID 31059311
  • Coombes RC, Page K, Salari R, Hastings RK, Armstrong A, Ahmed S, Ali S, Cleator S, Kenny L, Stebbing J, Rutherford M, Sethi H, Boydell A, Swenerton R, Fernandez-Garcia D, Gleason KLT, Goddard K, Guttery DS, Assaf ZJ, Wu HT, Natarajan P, Moore DA, Primrose L, Dashner S, Tin AS, Balcioglu M, Srinivasan R, Shchegrova SV, Olson A, Hafez D, Billings P, Aleshin A, Rehman F, Toghill BJ, Hills A, Louie MC PMID 30992300
  • Labgaa I, Villacorta-Martin C, D'Avola D, Craig AJ, von Felden J, Martins-Filho SN, Sia D, Stueck A, Ward SC, Fiel MI, Mahajan M, Tabrizian P, Thung SN, Ang C, Friedman SL, Llovet JM, Schwartz M, Villanueva A. A pilot study of ultra-deep targeted sequencing of plasma DNA identifies driver mutations in hepatocellular carcinoma. Oncogene. 2018 Jul;37(27):3740-3752. doi: 10.1038/s41388-018-0206-3. Ep PMID 29628508
  • Nguyen HT, Nguyen TV, Nguyen Hoang VA, Tran DH, Le Trinh NA, Le MT, Nguyen Tran TA, Pham TH, Dinh TC, Nguyen TS, Nguyen The KC, Mai H, Chu MT, Pham DH, Nguyen XC, Ngo Ha TM, Nguyen DS, Nguyen DQ, Lu YT, Do Thi TT, Truong DK, Nguyen QT, Nguyen HN, Giang H, Tu LN. Tumor genomic profiling and personalized tracking of circulating tumor DNA in Vietnamese colorectal cancer patients. Front Oncol. 2022 De PMID 36578946
  • Nguyen Hoang VA, Nguyen ST, Nguyen TV, Pham TH, Doan PL, Nguyen Thi NT, Nguyen ML, Dinh TC, Pham DH, Nguyen NM, Nguyen DS, Nguyen DQ, Lu YT, Do TTT, Truong DK, Phan MD, Nguyen HN, Giang H, Tu LN. Genetic landscape and personalized tracking of tumor mutations in Vietnamese women with breast cancer. Mol Oncol. 2023 Apr;17(4):598-610. doi: 10.1002/1878-0261.13356. Epub 2023 Jan 15. PMID 36495126

Identifiers

NCT: NCT06167460 · GS_ZTKL

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗