Mini-array for Estimating Gastric Cancer Disease State
Author Information
Author(s): Furuya Tomoko, Uchiyama Tetsuji, Adachi Atsushi, Okada Takae, Nakao Motonao, Oga Atsunori, Yang Song-Ju, Kawauchi Shigeto, Sasaki Kohsuke
Primary Institution: Yamaguchi University School of Medicine
Hypothesis
The study aims to develop a BAC mini-array to estimate the disease state of gastric adenocarcinoma.
Conclusion
The mini-array can help determine optimal treatment for patients with gastric adenocarcinoma.
Supporting Evidence
- The mini-array was constructed using 50 BAC clones linked with disease states.
- The diagnostic performance of the mini-array was evaluated on an independent set of 30 gastric cancers.
- The overall accuracy for node metastasis was 66.7%, and for depth of tumor invasion, it was 96.7%.
Takeaway
Researchers created a special test to help doctors figure out how serious a stomach cancer is, which can help them choose the best treatment.
Methodology
The study analyzed DNA copy number aberrations in 83 gastric adenocarcinomas and validated the mini-array on 30 independent samples.
Potential Biases
Potential bias due to the small sample size and the specificity of the mini-array.
Limitations
The study had a limited sample size and may not fully meet the requirements for clinical use.
Participant Demographics
The study included 83 gastric adenocarcinoma patients, with an average age of 70 years, consisting of 62 males and 21 females.
Statistical Information
P-Value
<0.0001
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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