Early Detection of Gastric Cancer Using Plasma Cell-free DNA Fragmentomics

NCT ID: NCT05269056

Last Updated: 2022-06-02

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

300 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-09-01

Study Completion Date

2023-05-31

Brief Summary

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The purpose of this study is to enable non-invasive early detection of gastric cancer in high-risk populations through the establishment of a multimodal machine learning model using plasma cell-free DNA fragmentomics. Plasma cell-free DNA from early stage gastric cancer patients and healthy individuals will be subjected to whole-genome sequencing. Features, such as cell-free DNA fragmentation, copy number variations and microbiome, will be assessed to generate this model.

Detailed Description

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Improvement in the specificity of early cancer detection reduces financial and mental burdens from unnecessary screenings. Advances in liquid biopsy approaches have expanded the clinical scope of cell-free DNA analysis in cancer early detection, by moving away from cell-free DNA methylome toward an integrative approach that enables the simultaneous assessment of multimodal cell-free DNA features. Integration of liquid biopsy-based cancer early detection into the clinic requires optimization of detection techniques, large-scale studies and prospective clinical validation. In the early detection of gastric cancer, the top research priorities are to identify relevant target features and to improve the sensitivity and specificity of detection. This large-scale early detection study will randomly enroll 200 stage I/II pathologically diagnosed gastric patients and 100 age- and sex-matched healthy individuals upon providing written informed consent. Plasma samples will be collected and extracted cell-free DNA will be subjected to whole genome sequencing. We aimed to incorporate genome-wide copy number variations, cell-free DNA fragmentomics, and microbiome features into the development of a multimodal biomarker-based prediction model.

Conditions

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Early Gastric Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Stage I-II gastric cancer

Cell-free DNA collected from plasma samples of 200 patients with stage I-II gastric cancer will undergo whole-genome sequencing

No interventions assigned to this group

Healthy controls

Cell-free DNA collected from plasma samples of 100 non-cancer individuals will serve as controls

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Age minimum 18 years
* Participants must have histologically and/or cytologically confirmed stage I/II gastric cancer
* Full access to the patients' clinical and pathological records
* Ability to understand and the willingness to sign a written informed consent document
* Non-cancer controls are sex- and age-matched individuals without presence of any tumors or nodules or any other severe chronic diseases through systematic screening

Exclusion Criteria

* Participants must not be pregnant or breastfeeding
* Participants must not have prior cancer histories or a second non-gastric malignancy
* Participants must not have had any form of cancer treatment before enrollment or plasma collection, including surgery, chemotherapy, radiotherapy, targeted therapy and immunotherapy
* Participants must not present medical conditions of fever or have acute or immunological diseases that required treatment 14 days before plasma collection
* Participants who underwent organ transplant or allogenic bone marrow or hematopoietic stem cell transplantation
* Participants with clinically important abnormalities or conditions unsuitable for blood collection
* Any uncontrolled intercurrent illness including, but not limited to, ongoing or active infection, symptomatic congestive heart failure, unstable angina pectoris, cardiac arrhythmia, myocardial infarction, major seizure disorder, unstable spinal cord compression, superior vena cava syndrome, or psychiatric illness/social situations that would limit compliance with study requirements or influence patient signing the written informed consent
Minimum Eligible Age

18 Years

Maximum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Nanjing Geneseeq Technology Inc.

INDUSTRY

Sponsor Role collaborator

Zhejiang Cancer Hospital

OTHER

Sponsor Role lead

Responsible Party

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Xiangdong Cheng

MD

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Xiangdong Cheng, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

Zhejiang Cancer Hospital

Locations

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Zhejiang Cancer Hospital;Cancer hospital of the university of chinese academy of sciences

Hangzhou, Zhejiang, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Pengfei Yu, MD, PhD

Role: CONTACT

86-571-88128031

Facility Contacts

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Pengfei Yu, MD,PhD

Role: primary

+86-571-88128031

References

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Yu P, Chen P, Wu M, Ding G, Bao H, Du Y, Xu Z, Yang L, Fang J, Huang X, Lai Q, Wei J, Yan J, Yang S, He P, Wu X, Shao Y, Su D, Cheng X. Multi-dimensional cell-free DNA-based liquid biopsy for sensitive early detection of gastric cancer. Genome Med. 2024 Jun 7;16(1):79. doi: 10.1186/s13073-024-01352-1.

Reference Type DERIVED
PMID: 38849905 (View on PubMed)

Other Identifiers

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IRB-2021-295

Identifier Type: -

Identifier Source: org_study_id

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