1. Distinct clinical phenotypes in gastric pathologies: a cluster analysis of demographic and biomarker profiles in a diverse patient population.
- Author
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Gorjizadeh N, Arani AS, Yazdi SAM, Biglari M, and Bahar M
- Abstract
Background: Understanding the heterogeneity of a population at risk is an important step in the early detection of gastric cancer. We aimed to cluster demographic, hematological, and biochemical markers of gastric cancer in a heterogeneous sample of patients., Methods: Data of 695 adult patients (50.0% women) who were diagnosed with histologically confirmed gastric cancer, benign gastric disease, or identified as healthy individuals (December 2018 to August 2019, Hangzhou, China) were analyzed. We conducted hierarchical clustering using a factorial analysis of mixed data. To assess the clustering scheme, we also developed a machine-learning classification model using the Extreme Gradient Boosting algorithm and subsequently ranked the variables for differentiating patient phenotypes., Results: Three clusters were identified using patient characteristics. The classification model showed high performance (multi-class AUC = 0.921) for recognizing the clusters. The top five important variables in differentiating the clusters were sex, hemoglobin, albumin, creatinine, and high-density lipoprotein (all ANOVA P <0.001) in decreasing order of importance. The prevalence of gastric cancer in clusters I, II, and III was 95.8%, 53.8%, and 34%, respectively [χ
2 (2) = 164.050, P <0.001]. Cluster I (N = 167) predominantly had an inflammatory profile, Cluster II (N = 240) showed metabolic disturbances, and Cluster III (N = 288) presented a relatively favorable metabolic and inflammatory profile., Conclusion: There were distinct clinical phenotypes in the population, each with varying prevalence of gastric cancer. A combination of routine clinical data outperformed carbohydrate or carcinoembryonic antigens in capturing the heterogeneity of the population regarding gastric pathologies., (Copyright © 2025 Society for Surgery of the Alimentary Tract. Published by Elsevier Inc. All rights reserved.)- Published
- 2025
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