Neoplasms

All Conditions

Digestive System Diseases

Rare Diseases

Adenocarcinoma

Stomach Neoplasms

Carcinoma in Situ

Carcinoma

Neoplasms, Glandular and Epithelial

Neoplasms by Histologic Type

Gastrointestinal Neoplasms

Digestive System Neoplasms

Gastrointestinal Diseases

Stomach Diseases

Stomach Cancer

Individuals with a pathologically confirmed diagnosis of gastric cancer

Individuals without cancer at the time of blood sampling

A panel of microRNA, whose expression level is tested in serum samples.

DESTINEX

Ajay Goel, PhD

Silei Sui

Caiming Xu

Yasuhiro Kodera

Mitsuo Kanda

Yuji Toiyama

Yoshinaga Okugawa

Gastric cancer continues to have a poor prognosis primarily due to the inability to detect it in its early stages. This study will develop and validate a blood assay to facilitate the non-invasive detection of gastric cancer.

Gastric cancer continues to have a poor prognosis primarily due to the inability to detect it in its early stages. Because conventional endoscopy is invasive and costly, gastric cancer is currently not considered to be screenable at a population level. However, if one could find less invasive and cheaper tools that accurately detect gastric cancer in its early stages, it could make a significant difference. Accurate biomarkers could help identify patients with gastric cancer before it becomes incurable.

This study aims to develop a non-invasive test to detect gastric cancer early. It consists of four phases:

1. Discovering potential biomarkers with a comprehensive and genome-wide transcriptomic sequencing analysis that will involve gastric cancer tissue, normal tissue, and serum samples from patients with gastric cancer, as well as samples from people without the disease.
2. Using machine learning to develop a combination "signature" of cell-free (cf) and exosomal (exo)-miRNA in serum specimens from a training cohort.
3. A validation of this signature in an independent cohort to confirm its accuracy.
4. An evaluation of the temporal trend of this signature in paired samples collected pre-surgery and post-surgery to investigate their potential and specificity as indicators of minimal residual disease.

In summary, this study aims to develop a highly accurate and cost-effective blood test for detecting gastric cancer early. Success could lead to significant improvements in clinical practice by catching cancer when it is most treatable. By combining different genetic markers (cell-free microRNA and exosomal microRNA) for accuracy, this study has the potential to reduce gastric cancer deaths and could lead to new screening methods in the future.

Formalin-fixed and paraffin-embedded tissue samples Serum

Stomach Cancer Exosome-based Detection

Early Detection of Stomach Cancer With a Liquid Biopsy Based on Exosomal Micro-RNA

Data collected for the study will be made available to others, including de-identified participant data, at publication, via a signed data access agreement and at the discretion of the investigators' approval of the proposed use of such data

True positive rate: the probability of a positive test result, conditioned on the individual truly being positive

True negative rate: the probability of a negative test result, conditioned on the individual truly being negative

A measure of trueness: proportion of correct predictions (both true positives and true negatives) among the total number of cases examined

Spots Global Cancer Trial Database for gastric cancer stage ia