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Online monitoring and stable isotope tracing of cancer associated volatiles in murine model captures tumor associated markers in vivo

  • 0Department of Human Sciences, The Ohio State University, USA; James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, 43210, USA.
Analytica Chimica Acta +

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March 12, 2025

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March 12, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

Early lung cancer detection is challenging. This study used SESI-HRMS to identify volatile biomarkers in a mouse model, revealing metabolic pathways and treatment responses for improved diagnostics.

Area Of Science

  • Biochemistry
  • Analytical Chemistry
  • Oncology

Background

  • Early cancer detection significantly improves survival rates but lacks reliable diagnostic technologies and biomarkers.
  • The tumor microenvironment alters host metabolism, influencing volatile compound synthesis, yet unique markers remain elusive due to metabolic heterogeneity and analytical standardization issues.

Purpose Of The Study

  • To develop and validate a non-invasive screening platform for real-time monitoring of lung cancer volatiles.
  • To identify specific volatile metabolites associated with lung cancer onset, progression, and treatment response.

Main Methods

  • Utilized secondary electrospray ionization (SESI) coupled with high-resolution mass spectrometry (HRMS) for real-time volatile analysis.
  • Employed a pre-clinical mouse model to study lung cancer development and response to chemotherapy.

Main Results

  • Identified 651 dysregulated volatile features at cancer onset and 36 correlated with tumor size.
  • Revealed the gamma-glutamyl cycle, linked to glutathione metabolism and reactive oxygen species (ROS), as a key pathway in lung cancer.
  • Detected unique volatile changes with gemcitabine and cisplatin treatment, identifying 5-oxoproline as a marker for treatment response.

Conclusions

  • SESI-HRMS provides a novel, non-invasive platform for sensitive, real-time detection and monitoring of lung cancer.
  • The study elucidates volatile signatures linked to lung cancer metabolism and treatment efficacy.

Keywords: