Serum Metabolomics Study to Screen Potential Biomarkers of Lung Cancer Risk in High Natural Background Radiation Areas of Thailand: A Pilot Study
2024

Potential Biomarkers for Lung Cancer Risk in High Radiation Areas of Thailand

Sample size: 45 publication 10 minutes Evidence: moderate

Author Information

Author(s): Autsavapromporn Narongchai, Duangya Aphidet, Klunklin Pitchayaponne, Chitapanarux Imjai, Kranrod Chutima, Jaikang Churdsak, Monum Tawachai, Paemanee Atchara, Tokonami Shinji

Primary Institution: Chiang Mai University

Hypothesis

This study aimed to identify potential biomarkers for lung cancer risk in high background radiation areas using a metabolomics approach.

Conclusion

This study provides new insights into metabolic biomarkers for screening lung cancer development in high-risk individuals with prolonged exposure to indoor radon.

Supporting Evidence

  • Indoor radon is a significant risk factor for lung cancer development.
  • 90 and 111 differential metabolites were identified in the lung cancer group compared to low- and high-radon groups, respectively.
  • D-sphingosine may serve as a candidate biomarker associated with lung cancer in both groups.
  • ROC analysis indicated that certain metabolites had high diagnostic value for lung cancer.
  • Further large-scale studies are needed to validate the findings.

Takeaway

Researchers looked at blood samples from people living in areas with high radiation to find markers that could help detect lung cancer early.

Methodology

The study used a metabolomics approach with UHPLC-HRMS to analyze serum samples from lung cancer patients and matched healthy controls.

Potential Biases

The study may not be generalizable due to the specific inclusion criteria and small sample size.

Limitations

The sample size was small, only NSCLC patients were included, and all participants were either nonsmokers or former smokers.

Participant Demographics

Participants included 15 lung cancer patients and 30 matched healthy controls, all either nonsmokers or former smokers.

Statistical Information

P-Value

p = 8.9 × 10−95

Confidence Interval

95% CI: 0.82–1.0

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3390/cancers16244182

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