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Objective: The objective is to evaluate and compare immunohistochemically, the biological behavior of keratocystic odontogenic tumor (KCOT) with normal oral mucosa by analyzing cell proliferation, angiogenesis, and antiapoptosis using cyclooxygenase-2 (COX-2), protein 53 (p53), B-cell lymphoma-2 (Bcl-2), and CD105 (endoglin).
Materials And Methods: The present study comprised 30 cases of KCOT in the study group, in which the expression of COX-2, p53, Bcl-2, and CD105 were analyzed and compared with that of control group consisting of 30 normal oral mucosae.
Results: The results were evaluated based on a number of positively stained cells; among 30 samples of KCOT, 22 samples were p53 positive, 23 samples were Bcl-2 positive, 18 samples were COX-2 positive, whereas all the above markers were negative in all the 30 samples of the normal oral mucosa and CD105 mean vascular density in KCOT 13.8 in normal oral mucosa.
Conclusion: The present study suggests that angiogenesis, cell proliferation, and antiapoptosis may be the possible factors contributing for the unique biological behavior of KCOT.
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http://dx.doi.org/10.4103/ijabmr.IJABMR_138_18 | DOI Listing |
Cells
September 2025
Department of Medical, Oral and Biotechnological Sciences, University of Chieti-Pescara, Via dei Vestini 29, 66100 Chieti, Italy.
The journal retracts the article titled "Multipotent Stromal Cells from Subcutaneous Adipose Tissue of Normal Weight and Obese Subjects: Modulation of Their Adipogenic Differentiation by Adenosine A Receptor Ligands" [...
View Article and Find Full Text PDFJ Appl Physiol (1985)
September 2025
Women's Heart Health Laboratory, Institute for Exercise and Environmental Medicine at Texas Health Presbyterian Hospital Dallas, TX, USA.
We investigated the impact of short-term dietary nitrate supplementation on sympathetic neural responses to isometric exercise in postmenopausal women. Ten healthy women aged 64±2 (SD) years participated in this randomized, placebo-controlled, double-blind, crossover study. All participants underwent two-week beetroot juice (BRJ: 800 mg nitrate/day) and placebo (nitrate-depleted BRJ) interventions with ≥14 days of wash-out.
View Article and Find Full Text PDFJ Oral Pathol Med
September 2025
Department of Oral Pathology, Federal University of Rio Grande do Norte, Natal, Brazil.
Background: Fibro-osseous lesions (FOL) of the jawbones and cemento-ossifying fibroma (COF) represent a heterogeneous group of lesions with overlapping histopathological features and variability in biological behavior. Thus, this study aimed to evaluate the clinical, radiographic, and histopathological characteristics of FOLs (cemento-osseous dysplasia-COD, fibrous dysplasia-FD, ossifying fibroma-OF) as well as COF, diagnosed at a reference center in oral pathology over 53 years.
Methods: Sex, age, symptoms, clinical diagnosis, time of evolution, anatomical site, size of the lesion, and radiographic characteristics were collected from all cases of lesions previously diagnosed as FOLs.
J Oral Pathol Med
September 2025
Department of Oral and Maxillofacial Pathology, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
Background: Oral squamous cell carcinoma (OSCC) is one of the most frequent head and neck cancers. The 4-nitroquinoline 1-oxide (4NQO) mouse model of oral carcinogenesis is a well-established model to investigate the mechanism behind OSCC development, including epigenetic alterations. Studies have shown that histone acetylation is a key regulator of gene expression and may play a role in such a tumor.
View Article and Find Full Text PDFJ Oral Biol Craniofac Res
August 2025
Neura Integrasi Solusi, Jl. Kebun Raya No. 73, Rejowinangun, Kotagede, Yogyakarta, 55171, Indonesia.
Background: Periodontal disease is an inflammatory condition causing chronic damage to the tooth-supporting connective tissues, leading to tooth loss in adults. Diagnosing periodontitis requires clinical and radiographic examinations, with panoramic radiographs crucial in identifying and assessing its severity and staging. Convolutional Neural Networks (CNNs), a deep learning method for visual data analysis, and Dense Convolutional Networks (DenseNet), which utilize direct feed-forward connections between layers, enable high-performance computer vision tasks with reduced computational demands.
View Article and Find Full Text PDF