Saliva Based Diagnostic Prediction of Oral Squamous Cell Carcinoma using FTIR Spectroscopy.

Autor: Shree P; Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, Jharkhand 834009 India., Aggarwal Y; Department of Bioengineering and Biotechnology, Birla Institute of Technology Mesra, Ranchi, India., Kumar M; Department of Bioengineering, Birla Institute of Technology, Mesra, Ranchi, 835215 India., Majhee L; Department of Pharmacology, Rajendra Institute of Medical Sciences, Ranchi, India., Singh NN; Oral Pathology, Microbiology and Forensic Odontology, Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, 834009 India., Prakash O; Oral and Maxillofacial Pathology, Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, 834009 India., Chandra A; Department of Oral Pathology and Microbiology, Faculty of Dental Sciences, Banaras Hindu University, Varanasi, India., Mahuli SA; Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, 834009 India., Shamsi S; Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, 834009 India., Rai A; Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, Jharkhand 834009 India.
Jazyk: angličtina
Zdroj: Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India [Indian J Otolaryngol Head Neck Surg] 2024 Jun; Vol. 76 (3), pp. 2282-2289. Date of Electronic Publication: 2024 Jan 13.
DOI: 10.1007/s12070-023-04294-z
Abstrakt: Oral cancer ranks as the sixth most prevalent form of cancer worldwide, presenting a significant public health concern. According to the World Health Organization (WHO), within a 5-year period following diagnosis, the mortality rate among oral cancer patients of all stages stands at 45%. In this study, a total of 60 patients divided into 2 groups were recruited. Group A included 30 histo-pathologically confirmed OSCC patients and Group B included 30 healthy controls. A standardized procedure was followed to collect saliva samples. FTIR spectroscopy was done for all the saliva samples collected from both Group A and B. An IR Prestige-21 (Shimadzu Corp, Japan) spectrometer was used to record IR spectra in the 40-4000 cm -1 range SVM classifier was applied in the classification of disease state from normal subjects using FTIR data. The peaks were identified at wave no 1180 cm -1 , 1230 cm -1 , 1340 cm -1 , 1360 cm -1 , 1420 cm -1 , 1460 cm -1 , 1500 cm -1 , 1540 cm -1 , 1560 cm -1 , and 1637 cm -1 . The observed results of SVM demonstrated the accuracy of 91.66% in the classification of Cancer tissues from the normal subjects with sensitivity of 83.33% while specificity and precision of 100.0%. The development of oral cancer leads to noticeable alterations in the secondary structure of proteins. These findings emphasize the promising use of ATR-FTIR platforms in conjunction with machine learning as a reliable, non-invasive, reagent-free, and highly sensitive method for screening and monitoring individuals with oral cancer.
Competing Interests: Conflict of interestThe authors have no conflict of interest regarding the publication of this article.
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Databáze: MEDLINE
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