Browsing by Author "Shree P."

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    Saliva Based Diagnostic Prediction of Oral Squamous Cell Carcinoma using FTIR Spectroscopy
    (Springer, 2024) Shree P.; Aggarwal Y.; Kumar M.; Majhee L.; Singh N.N.; Prakash O.; Chandra A.; Mahuli S.A.; Shamsi S.; Rai A.
    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. � Association of Otolaryngologists of India 2024.
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    Salivary transforming growth factor beta in oral submucous fibrosis: A diagnostic and predictive marker
    (Wolters Kluwer Medknow Publications, 2024) Rai A.; Parveen S.; Shree P.; Ahmed T.; Ali S.; Kaur M.; Sircar K.; Sybil D.; Chandra A.
    Context: Growth factors and cytokines like transforming growth factor beta (TGF-b) play a key role in the pathogenesis of oral submucous fibrosis. Aims: To elucidate the role of Salivary TGF-b isoforms as a predictive and diagnostic marker for oral submucous fibrosis. Settings and Design: A total of 30 OSMF and 10 control patients were included in this study, and their clinic-epidemiological data was recorded. Methodology: The expression of TGF-b genes�TGF-b1, TGF-b2, TGF-b3�was studied by a real-time polymerase chain reaction in tissue and saliva. Patients were given medicinal intervention for 12 weeks along with jaw-opening exercises. Expression of salivary TGF-b genes was studied at 12 weeks. Statistical Analysis Used: SPSS software version 20. Result: Expression of salivary TGF beta isoforms in OSMF was more than in the control group. There was an increase in salivary TGF-b1, b2, b3 expressions with increasing clinical grades of OSMF and advancing the stage of the disease. Expression of all the TGF beta isoforms was decreased after treatment with statistically significant results. Statistically significant correlations were found between the mean difference of TGF-b1 and the mean difference between mouth opening and tongue protrusion. Conclusion: Salivary TGF-b isoforms may be used in diagnosis, risk assessment, and screening of the entire population at risk of OSMF after its clinical validation. However, adequate sample size and segmental assessment of the expression of TGF-b isoforms are needed for further evaluation. � 2023 Journal of Cancer Research and Therapeutics.