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Recruiting NCT06929910

Assessing Systemic Treatment and ctDNA Monitoring Efficacy in Metastatic Cancer Patients Using K4Care Testing.

Observational Metastatic Cancers

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: Metastatic Cancers. Basic parameters: No limits · 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 →
Official title

Evaluation of Systemic Therapy and the Effectiveness of Circulating Tumor DNA (ctDNA) Assays in Monitoring Treatment Response in Patients With Metastatic Cancer Undergoing K4Care Testing

Overview

The goal of this observational study is to investigate the real-world treatment landscape of patients with metastatic cancer and determine the role of ctDNA in monitoring treatment response in patients with metastatic cancer who have undergone K4Care testing

Detailed description

Study design: This is a prospective, longitudinal, non-interventional study. Samples will be collected from patients with metastatic cancer who have undergone K4Care testing at Gene Solutions from 03/2025 to 03/2026.

\- Definition:

* Progression-free survival (PFS): The time from the start of treatment until disease progression, defined as the appearance of new tumor lesions or the spread of existing lesions to other organs or body parts. * Overall survival (OS): The time from the start of the study (for non-randomized clinical trials) until death from any cause. * Cell-free DNA (cfDNA) refers to DNA fragments released from cells into the bloodstream, with an average size of approximately 170 bp. A recent study showed that the concentration of cfDNA in the serum of cancer patients is elevated compared to healthy individuals. Circulating tumor DNA (ctDNA) refers to cfDNA released from cancer cells and carries tumor-associated mutations. The proportion of ctDNA within total cfDNA in cancer patients is highly variable, ranging from over 25% to as low as 0.01% (meaning that for every 10,000 cfDNA molecules in the blood, only 1 ctDNA molecule is released from cancer cells). This ratio is also known as the mutation allele fraction (MAF). MAF varies depending on the type and stage of cancer. The later the stage of the disease, the larger the tumor, and the more ctDNA is released into the blood. The presence of ctDNA in the serum indicates the presence of cancer in the body at the cellular level.

Due to the specificity of ctDNA for cancer, the correlation between ctDNA concentration and tumor size is less affected by other factors. Numerous studies have demonstrated that ctDNA levels change during treatment and correlate with early tumor response, which can be used as a companion biomarker and complement imaging response monitoring in patients treated with immunotherapy. Therefore, many studies have used ctDNA as a potential marker in monitoring tumor response in radical surgery, neoadjuvant chemoradiation, and evaluating treatment response in metastatic patients. NGS technology has brought tremendous value to the identification and treatment of cancer in recent years, helping to prolong the survival of patients and support the development of appropriate treatments for each patient with specific mutations. In addition, gene sequencing technology allows for the accurate detection of cancer-causing mutations in cfDNA samples, thereby identifying the composition of extracellular ctDNA released from the tumor.

* Blood sample: Each participant will have two times of 10mL blood sample collections, 1st blood sample collection is on the enrollment date and the 2nd blood sample collection is on the follow up visit date, from 3-6 months after the enrollment date or according to any participant follow-up visit during the study conduct. * Clinical information to be collected: will be collected and supplemented (if missing) during the patient's follow-up visits as scheduled by the physician. The information to be collected includes:

1. Basic patient demographics and medical history: age; sex; medical history (personal/family, viral infection status); diagnosis: time of diagnosis, cancer type (primary, secondary, metastatic), stage, location, histology, and other biochemical tests. 2. Pathological results, immunohistochemical results, and biopsy site. 3. Treatment regimen information: treatment types (surgery/chemotherapy/radiotherapy/targeted therapy), time points (start, mid-treatment, end of treatment):

* Curative surgery * TKI/ICI or Chemotherapy for metastatic stage * Palliative treatment for metastatic stage 4. Patient status: RECIST 1.1 response assessment at time points of Progressive Disease, Stable Disease, Partial Response, and Complete Response, based on the clinical physician's assessment documented in the medical record and accompanied by imaging (if available).

* Time of progression and metastatic site * Survival status (alive or deceased). Cause of death. Time of death. * Information regarding death: the cause of death to evaluate whether it is related to cancer complications. 5. Time of CT/MRI imaging, results, and clinical physician's interpretation (images can be provided if available)

Primary outcome measures

  • This study aims to evaluate the correlation between ctDNA clearance and treatment response in metastatic cancer: [Time frame: 18 months]

Eligibility criteria

Inclusion criteria

  • Pathological and imaging confirmation of metastatic or progressive stage IV cancer.
  • Consent to the use of their clinical data.
  • Diagnosis of one of the following common solid tumor types: lung, colorectal, breast, gastric, or cancer of unknown primary origin.
  • Prior K4Care testing to identify tumor tissue (FFPE) mutations and consent to the use of their sequencing data.

Exclusion criteria

  • Refusal to participate in the study.
  • Absence of prior K4Care testing.
  • Diagnosis of early-stage cancer or hematologic malignancy.
  • Refusal to provide clinical information or blood samples.

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
Other

Study locations

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

Publications

  • Kansara M, Bhardwaj N, Thavaneswaran S, Xu C, Lee JK, Chang LB, Madison RW, Lin F, Hsu E, Patel VK, Aleshin A, Oxnard GR, Simes J, Nimeiri H, Thomas DM. Early circulating tumor DNA dynamics as a pan-tumor biomarker for long-term clinical outcome in patients treated with durvalumab and tremelimumab. Mol Oncol. 2023 Feb;17(2):298-311. doi: 10.1002/1878-0261.13349. Epub 2022 Dec 13. PMID 36426653
  • Bratman SV, Yang SYC, Iafolla MAJ, Liu Z, Hansen AR, Bedard PL, Lheureux S, Spreafico A, Razak AA, Shchegrova S, Louie M, Billings P, Zimmermann B, Sethi H, Aleshin A, Torti D, Marsh K, Eagles J, Cirlan I, Hanna Y, Clouthier DL, Lien SC, Ohashi PS, Xu W, Siu LL, Pugh TJ. Personalized circulating tumor DNA analysis as a predictive biomarker in solid tumor patients treated with pembrolizumab. Nat Ca PMID 35121950
  • Cabel L, Riva F, Servois V, Livartowski A, Daniel C, Rampanou A, Lantz O, Romano E, Milder M, Buecher B, Piperno-Neumann S, Bernard V, Baulande S, Bieche I, Pierga JY, Proudhon C, Bidard FC. Circulating tumor DNA changes for early monitoring of anti-PD1 immunotherapy: a proof-of-concept study. Ann Oncol. 2017 Aug 1;28(8):1996-2001. doi: 10.1093/annonc/mdx212. PMID 28459943
  • Bettegowda C, Sausen M, Leary RJ, Kinde I, Wang Y, Agrawal N, Bartlett BR, Wang H, Luber B, Alani RM, Antonarakis ES, Azad NS, Bardelli A, Brem H, Cameron JL, Lee CC, Fecher LA, Gallia GL, Gibbs P, Le D, Giuntoli RL, Goggins M, Hogarty MD, Holdhoff M, Hong SM, Jiao Y, Juhl HH, Kim JJ, Siravegna G, Laheru DA, Lauricella C, Lim M, Lipson EJ, Marie SK, Netto GJ, Oliner KS, Olivi A, Olsson L, Riggins PMID 24553385
  • Shuel SL. Targeted cancer therapies: Clinical pearls for primary care. Can Fam Physician. 2022 Jul;68(7):515-518. doi: 10.46747/cfp.6807515. No abstract available. PMID 35831091
  • Kavun A, Veselovsky E, Lebedeva A, Belova E, Kuznetsova O, Yakushina V, Grigoreva T, Mileyko V, Fedyanin M, Ivanov M. Microsatellite Instability: A Review of Molecular Epidemiology and Implications for Immune Checkpoint Inhibitor Therapy. Cancers (Basel). 2023 Apr 13;15(8):2288. doi: 10.3390/cancers15082288. PMID 37190216
  • Devarakonda S, Rotolo F, Tsao MS, Lanc I, Brambilla E, Masood A, Olaussen KA, Fulton R, Sakashita S, McLeer-Florin A, Ding K, Le Teuff G, Shepherd FA, Pignon JP, Graziano SL, Kratzke R, Soria JC, Seymour L, Govindan R, Michiels S. Tumor Mutation Burden as a Biomarker in Resected Non-Small-Cell Lung Cancer. J Clin Oncol. 2018 Oct 20;36(30):2995-3006. doi: 10.1200/JCO.2018.78.1963. Epub 2018 Aug 14. PMID 30106638
  • Catalano M, Iannone LF, Nesi G, Nobili S, Mini E, Roviello G. Immunotherapy-related biomarkers: Confirmations and uncertainties. Crit Rev Oncol Hematol. 2023 Dec;192:104135. doi: 10.1016/j.critrevonc.2023.104135. Epub 2023 Sep 17. PMID 37717881

Identifiers

NCT: NCT06929910 · GS_ZKM

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗