An integrated analytical approach for biomarker discovery in esophageal cancer: Combining trace element and oxidative stress profiling with machine learning.

Journal: Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS)
Published Date: May 28, 2025

Abstract

BACKGROUND: Early detection of esophageal squamous cell carcinoma (ESCC) significantly improves survival rates, yet reliable biochemical biomarkers for early diagnosis remain limited. The aim of this study is to identify potential early diagnostic biomarkers by integrating trace element and oxidative stress profiling with machine learning. This study investigates alterations in trace elements and oxidative stress-related biomarkers in cancerous and adjacent healthy esophageal tissues (used as paired controls) using ICP-MS and spectrophotometric biochemical assays.

Authors

  • Omer Faruk Kocak
    Department of Chemical Technology, Vocational School of Technical Sciences, Ataturk University, Erzurum, Turkey. Electronic address: omer.kocak@atauni.edu.tr.
  • Mehmet Emrah Yaman
    Department of Analytical Chemistry, Faculty of Pharmacy, Atatürk University, Erzurum, Turkey.
  • Atila Eroglu
    Department of Thoracic Surgery, Medical Faculty, Ataturk University, Erzurum, Turkey.

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