Blood metal levels predict digestive tract cancer risk using machine learning in a U.S. cohort.

Journal: Scientific reports

PMID: 39779803

Abstract

BACKGROUND: Environmental metal exposure has been implicated in the development of digestive tract cancers, although the specific associations remain poorly defined. This study aimed to investigate the relationship between blood metal levels and the risk of digestive tract cancers among U.S. adults.

Authors

Chenyuan Shi

Department of Emergency Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Hanfeng Jiang

School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, China.
Fangzhou Zhao

School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, China.
Yigang Zhang

Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. zhangyg0021@163.com.
Haoming Chen

Keywords

Adult Aged Cadmium Cohort Studies Environmental Exposure Esophageal Neoplasms Female Humans Lead Machine Learning Male Metals Middle Aged Nutrition Surveys Risk Factors Stomach Neoplasms United States

External Resources

View on PubMed Access via DOI PubMed (39779803)

Blood metal levels predict digestive tract cancer risk using machine learning in a U.S. cohort.

Abstract

Authors

Keywords

External Resources

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