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Use of Circulating Exosomal LncRNA-GC1 to Monitor Gastric Cancer (UCELMGC)

L

Lin Chen

Status

Enrolling

Conditions

Gastric Cancer

Treatments

Diagnostic Test: Measurement of levels of circulating exosomal lncRNA-GC1

Study type

Observational

Funder types

Other

Identifiers

NCT05397548
GC-biomarker

Details and patient eligibility

About

Background:

Although its incidence and mortality has decreased, gastric cancer (GC) is the fourth most common cancer and the second leading cause of cancer-related death worldwide, particularly in China. The number of new cases and deaths may comprise approximately one-half of the global total. The high mortality of GC is partially attributed to late detection and nonspecific symptoms. The current gold standard for diagnosing GC is endoscopic biopsy. However, because of its discomfort to the patient and high cost, screening for early GC (EGC) is a major difficulty in clinical practice, particularly for asymptomatic individuals. Unfortunately, gastric precursor lesions such as intestinal metaplasia (IM), chronic atrophic gastritis (CAG), and persistent Helicobacter pylori (HP) infection increase the difficulty of screening for EGC. Furthermore, the standard serum biomarkers for GC, such as CEA, CA72-4, and CA19-9 achieve a low positive rate. Thus, it is critically important to develop new approaches for diagnosing EGC with high specificity and sensitivity.

Objective:

To study circulating exosomal lncRNA-GC1 as a potential biomarker for detection of gastric cancer.

Eligibility:

Participants from two medical centers in China

Design:

Investigators will use blood samples from participants in the two medical centers. Investigators will use samples from some who developed gastric cancer. The other samples will be from some who stayed cancer free in that time.

Participants already gave written informed consent.

Investigators will take exosomes from the samples and look for lncRNA-GC1.

Full description

Late detection is a major reason for the poor prognosis of patients with gastric cancer. For example, the proportion of patients diagnosed with early gastric cancer is as low as 9% in China. The survival rate of patients with early gastric cancer ranges from 60%-80% compared with 15%-24% of patients with advanced gastric cancer. It is therefore imperative to develop novel, relatively noninvasive approaches to improve early diagnosis of gastric cancer. Endoscopy has been considered as the gold standard for diagnosis of gastric cancer but endoscopy-based mass screening may not be feasible in relatively low-risk or less developed regions. Therefore, identification of biomarkers for early stage disease is crucial to in the development of effective screening strategies. With the recent advances in cancer genetics and assay technologies, this is an opportune time to discover minimally invasive, specific, and cost-effective biomarkers. The investigators' previous study has identified circulating exosomal lncRNA-GC1 as a potential biomarker for gastric cancer. The investigators then conducted this prospective study to further investigate the predictive value of circulating exosomal lncRNA-GC1 for early-detection and monitoring progression of gastric cancer.

Enrollment

700 estimated patients

Sex

All

Ages

18 to 80 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Having signed informed consent
  • 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

Trial design

700 participants in 2 patient groups

case
Description:
Gastric cancer cases from two medical centers in China
Treatment:
Diagnostic Test: Measurement of levels of circulating exosomal lncRNA-GC1
control
Description:
Controls from two medical centers in China
Treatment:
Diagnostic Test: Measurement of levels of circulating exosomal lncRNA-GC1

Trial contacts and locations

1

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Central trial contact

Xinxin Wang, MD, PhD

Data sourced from clinicaltrials.gov

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