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Determining Minimal Residual Disease Using ctDNA Deep Sequencing

Determination of Minimal Residual Disease by Deep ctDNA Sequencing.

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07660627
Acronym
CIT-SEQ
Enrollment
34
Registered
2026-06-22
Start date
2022-08-22
Completion date
2026-12-31
Last updated
2026-06-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Esophageal Adenocarcinoma, Gastric Cancer, Pancreatic Cancer

Keywords

Minimal residual disease, NGS sequencing, gastrointestinal tumors, Preoperative neoadjuvant chemotherapy

Brief summary

Preoperative neoadjuvant chemotherapy is the standard treatment for locally advanced gastrointestinal tumours. However, not all patients respond to preoperative treatment. Early identification of progression during neoadjuvant chemotherapy or diagnosis of early disease relapse during adjuvant treatment is essential to modify the treatment strategy. The aim of this project is to validate ctDNA as a biomarker of molecular relapse/progression of disease.

Detailed description

Neoadjuvant chemotherapy is the standard of care for locally advanced gastrointestinal tumors. However, not all patients respond to preoperative treatment. Early identification of disease progression during neoadjuvant chemotherapy or diagnosis of early disease relapse during adjuvant therapy is essential for modifying the treatment strategy. The aim of the project is to validate ctDNA as a molecular biomarker of disease relapse/progression. The persistence of tumor cells after primary treatment of cancer is a key prognostic indicator of the disease's future course. In solid tumors, minimal residual disease (MRD) may involve tumor cells in the blood, small metastases in the body, or a small portion of the primary tumor that remains after treatment. Detection of MRD at a stage when the tumor cannot be detected by morphological imaging techniques is becoming an important diagnostic indicator that could better stratify patients after primary treatment in the future. MRD determination should thus serve in the future both to indicate further treatment and to monitor treatment response. For the successful clinical application of MRD determination, it is crucial to establish a sufficiently sensitive and specific method based on the detection of circulating tumor DNA (ctDNA). Tumor ctDNA is a component of circulating free DNA (cfDNA), which is released into the plasma from apoptotic or necrotic cells in the form of fragments with an average length of approximately 170 bp. The release of DNA from cells into the bloodstream can be influenced by a number of factors, which is reflected in the high variability of total cfDNA concentration, which can range from 1 to 100,000 fragments per milliliter of plasma. Therefore, to quantify MRD, it is crucial to determine both the total concentration of cfDNA and the proportion of tumor ctDNA. To reliably distinguish tumor ctDNA from non-tumor cfDNA, the detection of mutations identified in the primary tumor is currently used. For this purpose, PCR or digital PCR detecting specific mutations using fluorescent probes can be used. An alternative to PCR is mutation detection using next-generation sequencing (NGS), which allows for the detection of multiple different mutations in parallel. A disadvantage of MRD determination using commercial NGS kits designed for liquid biopsies is the high financial cost and the time-consuming preparation of sequencing libraries. We hypothesize that deep sequencing of cfDNA targeting mutations identified in the primary tumor can significantly increase both the specificity and sensitivity of MRD detection from liquid biopsies. Deep sequencing of 2-3 genomic regions with known mutations should enable the parallel detection of MRD in multiple patients while reducing the cost of this type of testing compared to commercially available options.

Interventions

DIAGNOSTIC_TESTNGS sequencing of mutations selected based on sequencing of primary tumors

Sequencing of the primary tumor will be performed on a MiSeq instrument using the Accel-Amplicon panel, which covers the most common mutations. For deep sequencing of ctDNA, 2-3 genomic regions carrying mutations in the primary tumor will be selected for the patient. For these regions, sets of universal primers will be designed to amplify the mutations most commonly found in solid tumors (RAS, BRAF, TP53, EGFR, APC, etc.). Another set of universal primers will contain a sequence for indexing individual samples, enabling the parallel sequencing of up to 96 samples simultaneously. The sequencing library will be analyzed on a NextSeq 500 instrument, which allows for up to 400 million reads in a single sequencing run. The sequencing results will then be correlated with the clinical course of the disease.

Sponsors

Masaryk Memorial Cancer Institute
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* Consent to participate in the study * Patients with esophageal, gastric, or pancreatic cancer, stage 0-2 * Patients with locally advanced, potentially operable disease treated with systemic perioperative chemotherapy or chemoradiotherapy * Patients with metastatic disease treated with first- to third-line palliative systemic therapy

Exclusion criteria

* not specified

Design outcomes

Primary

MeasureTime frameDescription
Sensitivity of targeted NGS assay for ctDNA mutation detectionThrough study completion, an average of 24 months.Proportion of tumor-confirmed driver mutations detected in plasma cfDNA using the developed targeted NGS assay. Unit of Measure: Percentage (%)

Secondary

MeasureTime frameDescription
Monitoring ctDNA levelsThrough study completion, an average of 24 months.A secondary objective is to monitor ctDNA levels throughout the patient's treatment and to determine appropriate intervals for plasma collection after surgery and during adjuvant therapy.
Variant allele frequency (VAF) of detected driver mutations in cfDNAThrough study completion, an average of 24 months.Quantitative assessment of tumor-specific mutations detected in cfDNA using targeted NGS sequencing. Unit of Measure: Variant allele frequency (%)

Countries

Czechia

Contacts

CONTACTMartina Lojová, PhD
martina.lojova@mou.cz+420543136232
CONTACTTereza Štěpánková, PhD
tereza.stepankova@mou.cz+420543136223
STUDY_DIRECTORPetr Müller, MD, PhD

Masaryk Memorial Cancer Institute

PRINCIPAL_INVESTIGATORRadka Lordick Obermannová, MD, Doc, PhD

Masaryk Memorial Cancer Institute

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 25, 2026