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Background <p>Endometrial cancer (EC) is the 6th most common cancer among women worldwide. No effective non-invasive screening methods or approved blood biomarkers for EC exist. Previous research explored Attenuated Total Reflection-Fourier Transform Infrared (ATR-FtIR) and Raman spectroscopies, using dried blood plasma. Fresh, ‘wet’, blood samples, that might provide faster results, have not been investigated. This study compared ATR-FtIR and Raman spectroscopies on ‘wet’ and dry blood plasma samples for EC detection. It also conducted a preliminary exploration into their diagnostic potential for EC in high-risk individuals with polycystic ovary syndrome (PCOS).</p> Methods <p>‘Wet’ and dry blood plasma samples from participants with EC, PCOS and healthy controls were analysed using ATR-FtIR and Raman spectroscopies. Machine learning algorithms and multivariate statistical analyses assessed spectral variance across datasets to evaluate the techniques’ diagnostic performance.</p> Results <p>Raman analysis of ‘wet’ plasma achieved 82% accuracy in detecting EC, while ATR-FtIR spectroscopy reached 78%. When combined, diagnostic accuracy reached 86%. In comparison, dry plasma analysis with ATR-FtIR detected EC with 83% accuracy. Spectral similarities were found between EC and PCOS.</p> Conclusions <p>Our study suggests that ATR-FtIR and Raman spectroscopies could revolutionise early diagnosis of EC. More research is required to validate these promising findings.</p>

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Infrared and Raman spectroscopy of blood plasma for rapid endometrial cancer detection

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年5月18日

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  • Roberta Schiemer,
  • Jessica Grant,
  • Mohamad N. Shafiee,
  • Sendy Phang,
  • David Furniss,
  • Radu Boitor,
  • Angela B. Seddon,
  • Ioan Notingher,
  • William Atiomo,
  • Nia W. Jones,
  • Ketankumar B. Gajjar

摘要

Background

Endometrial cancer (EC) is the 6th most common cancer among women worldwide. No effective non-invasive screening methods or approved blood biomarkers for EC exist. Previous research explored Attenuated Total Reflection-Fourier Transform Infrared (ATR-FtIR) and Raman spectroscopies, using dried blood plasma. Fresh, ‘wet’, blood samples, that might provide faster results, have not been investigated. This study compared ATR-FtIR and Raman spectroscopies on ‘wet’ and dry blood plasma samples for EC detection. It also conducted a preliminary exploration into their diagnostic potential for EC in high-risk individuals with polycystic ovary syndrome (PCOS).

Methods

‘Wet’ and dry blood plasma samples from participants with EC, PCOS and healthy controls were analysed using ATR-FtIR and Raman spectroscopies. Machine learning algorithms and multivariate statistical analyses assessed spectral variance across datasets to evaluate the techniques’ diagnostic performance.

Results

Raman analysis of ‘wet’ plasma achieved 82% accuracy in detecting EC, while ATR-FtIR spectroscopy reached 78%. When combined, diagnostic accuracy reached 86%. In comparison, dry plasma analysis with ATR-FtIR detected EC with 83% accuracy. Spectral similarities were found between EC and PCOS.

Conclusions

Our study suggests that ATR-FtIR and Raman spectroscopies could revolutionise early diagnosis of EC. More research is required to validate these promising findings.