lateral-molar-approach-driven-transoral-endoscopic-procedure-for

Lateral Molar Approach-Driven Transoral Endoscopic Procedure for Benign Infratemporal Fossa Tumor Resection

Benign infratemporal fossa tumors necessitate complete resection while preserving neurovascular integrity. Conventional open approaches risk delayed bone ...

Sichuan University

Oral cancer, a malignancy that is prevalent worldwide, is often diagnosed at an advanced stage. MicroRNAs (miRNAs) in circulating exosomes have emerged as promising cancer biomarkers. The role of miRNA let-7c-5p in oral cancer remains underexplored, and its potential involvement in tumorigenesis warrants comprehensive investigation.

Exosomal microRNA let-7c-5p enhances cell malignant characteristics by inhibiting TAGLN in oral cancer.

An accurate assessment of the surgical margins of tongue squamous cell carcinoma (TSCC), especially the deep muscle tissue, can help completely remove the cancer cells and thus minimize the risk of recurrence. This study aimed to develop a classification model that classifies TSCC and normal tissues in order to aid in the rapid and accurate intraoperative assessment of TSCC surgical deep muscle tissue margins.

Intraoperative rapid assessment of the deep muscle surgical margin of tongue squamous cell carcinoma via Raman spectroscopy.

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.

Noninvasive surface-enhanced Raman spectroscopy outperforms combined positive score in predicting sensitivity to neoadjuvant immunotherapy in head and neck squamous cell carcinoma.

This study introduces a novel classification approach that combines convolutional neural network (CNN) and Raman mapping to differentiate between tongue squamous cell carcinoma (TSCC) and non-tumorous tissue, as well as to identify different histological grades of TSCC.

Assessment of Surgical Margin of Tongue Squamous Cell Carcinoma via Raman Mapping.

Surface-enhanced Raman spectroscopy (SERS) has emerged as a crucial analytical tool in the field of oncology, particularly presenting significant challenges for the diagnosis and treatment of head and neck cancer. This Review provides an overview of the current status and prospects of SERS applications, highlighting their profound impact on molecular biology-level diagnosis, tissue-level identification, HNC therapeutic monitoring, and integration with emerging technologies. The application of SERS for single-molecule assays such as epidermal growth factor receptors and PD-1/PD-L1, gene expression analysis, and tumor microenvironment characterization is also explored. This Review showcases the innovative applications of SERS in liquid biopsies such as high-throughput lateral flow analysis for ctDNA quantification and salivary diagnostics, which can offer rapid and highly sensitive assays suitable for immediate detection. At the tissue level, SERS enables cancer cell visualization and intraoperative tumor margin identification, enhancing surgical precision and decision-making. The role of SERS in radiotherapy, chemotherapy, and targeted therapy is examined along with its use in real-time pharmacokinetic studies to monitor treatment response. Furthermore, this Review delves into the synergistic relationship between SERS and artificial intelligence, encompassing machine learning and deep learning algorithms, marking the dawn of a new era in precision oncology. The integration of SERS with genomics, metabolomics, transcriptomics, proteomics, and single-cell omics at the multiomics level will revolutionize our comprehension and management of HNC. This Review offers an overview of the transformative impacts of SERS and examines future directions as well as challenges in this dynamic research field.

Application of Surface-Enhanced Raman Spectroscopy in Head and Neck Cancer Diagnosis.

To establish a precise and efficient diagnostic framework for distinguishing medication-related osteonecrosis of the jaw, radiation-induced osteonecrosis of the jaw, and normal bone tissue, thus enhancing clinical decision-making and enabling targeted therapeutic interventions.

Article	Year
Exosomal microRNA let-7c-5p enhances cell malignant characteristics by inhibiting TAGLN in oral cancer. Oncology research\| PubMed ID: 39308508	2024
Intraoperative rapid assessment of the deep muscle surgical margin of tongue squamous cell carcinoma via Raman spectroscopy. Frontiers in bioengineering and biotechnology\| PubMed ID: 39439553	2024
Noninvasive surface-enhanced Raman spectroscopy outperforms combined positive score in predicting sensitivity to neoadjuvant immunotherapy in head and neck squamous cell carcinoma. Oral oncology\| PubMed ID: 39532023	2024
Assessment of Surgical Margin of Tongue Squamous Cell Carcinoma via Raman Mapping. Oral diseases\| PubMed ID: 39815649	2025
Application of Surface-Enhanced Raman Spectroscopy in Head and Neck Cancer Diagnosis. Analytical chemistry\| PubMed ID: 39951652	2025
Label-free rapid diagnosis of jaw osteonecrosis via the intersection of Raman spectroscopy and deep learning. Bone\| PubMed ID: 40320103	2025

Xiaobo Dai

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