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Updated: Jun 7, 2025
Surface-enhanced Resonance Raman Scattering Nanoprobe Ratiometry for Detecting Microscopic Ovarian Cancer via Folate Receptor Targeting
Published on: March 25, 2019
Noninvasive surface-enhanced Raman spectroscopy outperforms combined positive score in predicting sensitivity to
Bowen Yang1, Xiaobo Dai1, Zhixin Li1
1State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Head and Neck Oncology Surgery, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China.
Background:
Head and neck squamous cell carcinoma poses a formidable treatment challenge owing to its complex anatomy and essential functions of the organs involved. Neoadjuvant immunotherapies, particularly PD-1 inhibitors, have shown promise in improving patient outcomes. Nevertheless, the ability to accurately predict which patients will benefit from neoadjuvant immunotherapy continues to be a significant hurdle.
Methods:
We investigated 46 patients diagnosed with head and neck squamous cell carcinoma. Combined positive score was assessed before treatment. Serum samples were collected both before and after neoadjuvant immunotherapy, and subsequently analyzed utilizing surface-enhanced Raman spectroscopy.
Results:
Significant differences in Raman spectral peaks were observed between the partial response and stable disease groups before treatment, particularly in the regions of 516-525 cm-1, 1240-1400 cm-1, 1600-1636 cm-1, and 1647-1680 cm-1. These peaks represent different cancer-related biochemical components, including protein and nucleic acid vibrations, disulfide bonds, amide III bands, CH2/CH3 deformations, and amide I bands. Principal Component Analysis-Linear Discriminant Analysis and Receiver Operating Characteristic analysis demonstrated that surface-enhanced Raman spectroscopy exhibited remarkable sensitivity and specificity, surpassing the combined positive score in assessing patient responses to neoadjuvant immunotherapy.
Conclusion:
Surface-enhanced Raman spectroscopy offers significant potential to surpass the conventional combined positive score in predicting responses to neoadjuvant immunotherapy.
Insights
Surface-enhanced Raman spectroscopy shows promise in predicting head and neck cancer treatment response. This method may outperform the combined positive score for assessing neoadjuvant immunotherapy effectiveness.
Area of Science:
- Oncology
- Biochemistry
- Spectroscopy
Background:
- Head and neck squamous cell carcinoma presents treatment challenges due to anatomical complexity and vital organ involvement.
- Neoadjuvant immunotherapies, including PD-1 inhibitors, offer potential patient outcome improvements.
- Predicting patient response to neoadjuvant immunotherapy remains a significant challenge.
Purpose of the Study:
- To evaluate the efficacy of surface-enhanced Raman spectroscopy (SERS) in predicting treatment response.
- To compare SERS-based predictions with the combined positive score (CPS) in head and neck cancer patients undergoing neoadjuvant immunotherapy.
Main Methods:
- Investigated 46 patients with head and neck squamous cell carcinoma.
- Assessed combined positive score (CPS) pre-treatment.
- Analyzed serum samples pre- and post-neoadjuvant immunotherapy using surface-enhanced Raman spectroscopy (SERS).
Main Results:
- Distinct Raman spectral peaks (516-525 cm⁻¹, 1240-1400 cm⁻¹, 1600-1636 cm⁻¹, 1647-1680 cm⁻¹) differed between partial response and stable disease groups pre-treatment.
- These peaks correspond to cancer-related biochemical components like protein, nucleic acid vibrations, and amide bands.
- SERS demonstrated high sensitivity and specificity, outperforming CPS in predicting patient response to neoadjuvant immunotherapy via PCA-LDA and ROC analysis.
Conclusions:
- Surface-enhanced Raman spectroscopy (SERS) shows significant potential for predicting neoadjuvant immunotherapy response.
- SERS may offer superior predictive capability compared to the conventional combined positive score (CPS).
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