Use of a Liquid Biopsy Signature to Detect Early-onset Gastric Cancer

NCT ID: NCT06023121

Last Updated: 2023-09-05

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

COMPLETED

Total Enrollment

800 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-01-01

Study Completion Date

2023-08-30

Brief Summary

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Early-onset gastric cancer (EOGC) is a lethal malignancy with a poor prognosis. It differs from late-onset gastric cancer (LOGC) in clinical and molecular characteristics. The current strategies for EOGC detection have certain limitations in diagnostic performance due to the rising trend in EOGC. Hence, identifying novel EOGC bioindicators is crucial.

Detailed Description

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Due to widespread gastric cancer (GC) detection efforts and timely interventions (removal of precancerous lesions and early-stage GC), the GC-associated mortality rate has declined worldwide. However, epidemiological studies show rising GC incidences among young adults (\< 50 years old) without familial or hereditary origin. This illness, known as early-onset GC (EOGC), comprises 20-30% of new GC diagnoses, mainly among individuals aged 30-40 years; the median overall survival time is 11.7 months. Although the underlying cause behind this trend is poorly understood, there is a general understanding that EOGC epidemiologically, biologically, and pathologically differs from late-onset GC (LOGC, ≥ 50 years). Therefore, EOGC patients require clinical assessment and intervention distinct from those applied in LOGC.

Of note, several population-based epidemiological studies have suggested that EOGC patients exhibit significantly different behaviors from LOGC patients. EOGC patients are more likely to have earlier lymph node and distal metastasis than LOGC patients during disease progression. These tough challenges raise clinical concerns: EOGC is more aggressive than LOGC; thus, a delayed diagnosis can severely affect patient survival outcomes. Moreover, the current approaches to GC detection, such as CEA, HP serology, and pepsinogen (PG), are insufficient for detecting early-stage GC and have yet to be investigated in young individuals with EOGC. Accordingly, these limitations strongly underscore the necessity to establish potent alternative indicators that facilitate the timely detection of EOGC.

Conditions

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Gastric Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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Cases

Gastric cancer cases from two medical centers in China

Measurement of levels of an exosome-based liquid biopsy signature

Intervention Type DIAGNOSTIC_TEST

Each participant was enrolled to assess the levels of an exosome-based liquid biopsy signature

Controls

Controls from two medical centers in China

Measurement of levels of an exosome-based liquid biopsy signature

Intervention Type DIAGNOSTIC_TEST

Each participant was enrolled to assess the levels of an exosome-based liquid biopsy signature

Interventions

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Measurement of levels of an exosome-based liquid biopsy signature

Each participant was enrolled to assess the levels of an exosome-based liquid biopsy signature

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Having signed informed consent
* 50 years old ≥ Age ≥ 18 years old
* Histologically confirmed gastric adenocarcinoma

Exclusion Criteria

* Other previous malignancy within 5 year
* Surgery (excluding diagnostic biopsy) within 4 weeks prior to study
* Pregnancy or lactation period
* Legal incapacity
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Chinese PLA General Hospital

OTHER

Sponsor Role lead

Responsible Party

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Lin Chen

Director of department of General Surgery

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Chinese PLA General Hospital Ethics Committee

Beijing, Beijing Municipality, China

Site Status

Countries

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China

Other Identifiers

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EOGC-biomarker

Identifier Type: -

Identifier Source: org_study_id

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