MATLAB based phenotypic evaluation and gene expression of CD44 and CD133 biomarkers in the prediction of Oral Squamous Cell Carcinoma metastasis

Oral cancer accounts to 20–30% of all cancers in India. The major difficulty in managing carcinomas is due to failure in the control and detection of metastases (\u3e90% deaths). Cancer stem cells (CSCs) are tumor-initiating cells that survive even after extensive radiotherapy and chemotherapy. Recently, the use of computer-assisted quantification methods employing image processing is drawing attention wherein information can be automatically extracted from the immunostained digitized images. The aim of the study was to assess the metastatic risk of Oral Squamous Cell Carcinoma (OSCC) by the phenotypic evaluation and gene expression of CD44 and CD133 biomarkers with clinical correlation. The study also assessed the role of Cancer Stem Cells through phenotypic evaluation and gene expression of CD44 and CD133 in metastasis of OSCC

Cheiloscopic Characteristics detection and Pattern Classification by Machine Learning Technique

Machine Learning (ML) is a field enhancing the rapid growth of technology. Though use of digital softwares for cheiloscopic investigations have been attempted with limited success, the use of ML based techniques are scarce and seldom have been employed in forensic odontology. The present study aimed to identify cheiloscopic patterns through machine learning based methods and to correlate the segmented patterns with age and gender of individuals

Determination of The Correlation Between Age and Gender with Canine Index, Intermolar Width and Palatal Rugae Patterns

Dental records are of paramount importance in human identification considering the distinct traits of every individual. Although DNA and finger print analysis are techniques employed for faster and secure identification, in mass disasters, odontometric analysis can play a vital role in identification. Studies in the past have used parameters like arch perimeters, lip prints and palatal rugae pattern to determine age and gender of an individual. However, these studies correlated one parameter at a time and concluded that there was no significant correlation of the parameters to age and gender. The present study aimed to assess the canine index, intermolar width and palatal rugae pattern from the obtained dental casts. The correlation of age and gender with canine index, intermolar width and palatal rugae patterns were determined

Association Between ABO Blood Grouping and Odontometry: An Unexplored Evidence in Forensics

Recent research has exhibited a strong association between ABO blood groups and susceptibility to diseases. Extraoral and intraoral hard tissue landmarks provide a stable and reliable record for odontological and anthropological analysis, forensic investigations and identification. The association between anthropometric indices and ABO blood grouping have been reported in the past, however, the association between ABO blood groups and odontometric indices is yet to be comprehensively explored. This study aimed to establish the correlation of ABO blood groups with odontometric indices and extraoral hard tissue landmarks for personnel identification

Pathogenic Implications of Candidal Species in Both Oral Cancer and Oral Potentially Malignant Disorders - A Review

Oral squamous cell carcinoma (OSCC) is the 6th most common cancer in worldwide. Cigarette smoking, alcohol consumption, and betel quid chewing are its major risk factors other factors that can lead to OSCC include excessive sun exposure, viral or fungal infection, poor nutrition, and poor oral hygiene. The carcinogenesis of OSCC occurs gradually and oral epithelial dysplasia is considered a potential histologic precursor of OSCC. Most OSCC cases are preceded by clinically evident oral potentially malignant disorders (OPMDs). The aim of this review is to correlate the association between Candida species and oral potentially malignant disorders and its possible mechanisms in oral cancer progression

Assessment of Micrometastasis in Lymph Nodes of Oral Squamous Cell Carcinoma –Attaining Excellence through Immunohistochemistry

Cervical lymph node metastasis is the most important prognostic factor in Squamous Cell Carcinoma of Head and Neck (SCCHN). Lymph node prognostic determinants hold immense significance in influencing both patient’s survival outcomes and the propensity for recurrence. The current study aimed to evaluate the diagnostic accuracy of Cyclin D1 and Pan-CK for the detection of lymph node micrometastasis in oral squamous cell carcinoma tissue sections and re-evaluate the tumor staging