Label-free molecular profiling of cancer using Raman spectroscopy: from fundamentals to clinical applications - Report - MDSpire

Label-free molecular profiling of cancer using Raman spectroscopy: from fundamentals to clinical applications

  • By

  • Minglong Li

  • Dongjie Yang

  • Tong Liu

  • Shiyin Liu

  • Wenqi Sun

  • Ping Cai

  • Yanping Shen

  • Weimin Zhang

  • Guye Lu

  • Yuan Weng

  • Haifeng Wang

  • Xiaoyu Zhao

  • Jinyou Li

  • July 3, 2026

  • 0 min

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Clinical Report: Unlabeled Molecular Characterization of Cancer through Raman Spectroscopy

Overview

Raman spectroscopy is a label-free technique for early cancer detection and real-time histopathological evaluation. This report highlights its applications in various cancers and discusses the challenges and future directions for integrating this technology into clinical practice.

Background

Early detection of cancer and personalized therapy are critical challenges in oncology. Current diagnostic methods often face limitations such as false negatives and inaccuracies in tumor margin assessment. Raman spectroscopy offers a non-invasive alternative.

Data Highlights

No numerical data provided in the article.

Key Findings

  • Raman spectroscopy can facilitate early cancer detection and real-time histopathological evaluation.
  • Enhanced Raman techniques, like CARS and SRS, have shown potential in tumor classification and metabolic profiling.
  • Technical challenges include signal enhancement, spectral unmixing, and instrument miniaturization.
  • Raman spectroscopy has applications in diagnosing cancers of the lung, liver, colorectum, and gastrointestinal tract.
  • Future developments may lead to integrated diagnostic platforms combining Raman spectroscopy with other optical methods.

Clinical Implications

The integration of Raman spectroscopy into clinical practice could address significant diagnostic challenges, particularly in real-time margin assessment during surgery.

Conclusion

Further research and standardization are necessary for clinical implementation of Raman spectroscopy.

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