The Anticancer Potential of Ivermectin: Mechanisms of Action and Therapeutic Implications

Abstract Ivermectin is a well-known antiparasitic drug in the macrolide class with a 16-membered ring. It has been used for treating various parasitic diseases, including onchocerciasis, lymphatic filariasis, and strongyloidiasis. The present study aimed to review the mechanisms of action and therapeutic implications of Ivermectin as an anticancer agent. It has been used for over three decades, and its safety has been well-established in humans A growing body of evidence suggests that ivermectin has anticancer properties, making it an attractive candidate for treating various types of cancer. The reason is that ivermectin targets multiple signaling pathways, including the Wnt/β-catenin, PI3K/Akt/mTOR, and STAT3 pathways, to inhibit cancer cell proliferation and induce apoptosis. Inhibition of these pathways by ivermectin leads to suppression of cancer cell growth. Additionally, ivermectin has been shown to induce autophagy, which can lead to programmed cell death in cancer cells. One of the significant advantages of ivermectin as an anticancer drug is its safety profile. Furthermore, it is easily available and affordable, making it a promising alternative to conventional chemotherapy for various types of cancer, including breast, lung, and colon cancer. However, further research is needed to evaluate its clinical effectiveness in humans. Clinical trials are underway to investigate ivermectin's safety and efficacy in cancer treatment. In conclusion, the safety profile and low cost of ivermectin as an anticancer drug have turned it into a feasible alternative to conventional chemotherapy, which needs more investigation. https://jlar.rovedar.com/index.php/JLAR/article/view/1

Dentigerous cyst associated with an impacted anterior maxillary supernumerary tooth (mesiodens): A case report

Background: Dentigerous cysts are commonly seen in association with third molars and maxillary canines. Only 5–6% of dentigerous cysts are associated with supernumerary teeth. We report a rare case of dentigerous cyst associated with an impacted anterior maxillary supernumerary tooth (mesiodens). Case Presentation: A 30-year-old male reported to our Department of Oral Medicine, School of Dentistry at Hamedan University of Medical Sciences, with chief complaint of a painless swelling in the anterior upper jaw (in the region of incisors) for a duration of 3 month. At the time of his presentation, his medical history was unremarkable, with no systemic problems and no report of pain. Conclusion: Although the association of dentigerous cyst with an impacted supernumerary tooth (mesiodens) is rare, prevention of harmful complications as developmental cyst, early diagnosis and treatment is necessary. The standard treatment is Enucleation. Keywords: Dentigerous cysts; Mesiodens; Supernumerary teeth

Fibrosarcoma of mandible: A case report

Fibrosarcomas is an uncommon connective tissue growth that rises from the proliferation of malignant fibroblasts. Local recurrence is frequent, but metastasis is rare. About 0.05% of cases are affected in the head and neck. We report a case of mandibular fibrosarcoma in a 30-year-old man who presented with intraoral swelling in the ridge of the left mandibular alveolus. Histopathology showed the proliferation of malignant fibroblast cells arranged in a classic herringbone pattern. Keywords: Fibrosarcoma; Fibroblast; Malignancy; Lower jaw; Spindle cell tumor; Oral cavity

CRISPR/Cas9-mediated Genome Editing: In vivo Review

Abstract The CRISPR/Cas9 system has been a game-changer in genetics and biotechnology. This study aimed to investigate the existing in vivo uses and their potential to increase our understanding of gene function and biological processes in animal models. With its remarkable precision and accuracy, researchers can now easily edit specific genes within cells and organisms. This technology has opened up new avenues for studying genetic diseases and developing therapies to treat them. One of the most significant advantages of the CRISPR/Cas9 system is its ability to create precise cellular and animal models of human diseases. This allows researchers to investigate the role of genetics in disease development and to develop more effective therapies. For example, the system can correct genetic mutations that cause cystic fibrosis or sickle cell anemia. The therapeutic potential of CRISPR/Cas9 is enormous, especially in gene therapy. By correcting specific genetic mutations, the system can potentially treat human diseases that are currently untreatable with conventional therapies. However, some challenges still need to be addressed before this technology can be used in clinical settings. Despite these challenges, the potential of CRISPR/Cas9 to revolutionize the field of genetics and biotechnology cannot be overstated. Ultimately, this technology has the potential to transform medicine by providing new therapies for a wide range of genetic diseases. https://jlar.rovedar.com/index.php/JLAR/article/view/1

Flavonoids as Strong Inhibitors of MAPK3: A Computational Drug Discovery Approach

Background. Mitogen-activated protein kinase 3 (MAPK3) mediates the onset, progression, metastasis, drug resistance, and poor prognosis in various malignancies, including glioma, liver, ovarian, thyroid, lung, breast, gastric, and oral cancers. Negative regulation of MAPK3 expression using miRNAs has led to therapeutic effects in cancer. Objectives. The present study performed molecular docking and dynamics simulation to identify potential MAPK3 inhibitors from natural flavonoids, possibly leading to drug development in cancer therapy. Methods. A computational drug discovery approach was performed using the AutoDock tool to identify potential MAPK3 inhibitors from 46 plant-based flavonoids. A cross-validation study was executed using the Schrödinger Maestro docking tool. Molecular dynamics (MD) was executed to evaluate the stability of docked poses between the top-ranked compounds and the MAPK3 catalytic domain. Interactions among the most potent MAPK3 inhibitors and residues within the receptor’s active site were studied using the BIOVIA Discovery Studio Visualizer before and after 100 ns MD simulations. Results. Kaempferol 3-rutinoside-4′-glucoside, kaempferol 3-rutinoside-7-sophoroside, rutin, and vicenin-2 exhibited a magnificent binding affinity to the receptor’s active site. In addition, the stability of the docked poses of these compounds seemed to be stable after ∼45 ns computer simulations. Conclusion. The present study suggests that kaempferol 3-rutinoside-4′-glucoside, kaempferol 3-rutinoside-7-sophoroside, rutin, and vicenin-2 could strongly bind to the MAPK3 catalytic site and could be assigned as a potent inhibitor for MAPK3. These findings may be helpful in the treatment of various cancers. However, further validation experiments are needed

Artificial Intelligence in Cancer Care: From Diagnosis to Prevention and Beyond

<p>Artificial Intelligence (AI) has made significant strides in revolutionizing cancer care, encompassing various aspects from diagnosis to prevention and beyond. With its ability to analyze vast amounts of data, recognize patterns, and make accurate predictions, AI has emerged as a powerful tool in the fight against cancer. This article explores the applications of AI in cancer care, highlighting its role in diagnosis, treatment decision-making, prevention, and ongoing management. In the realm of cancer diagnosis, AI has demonstrated remarkable potential. By processing patient data, including medical imaging, pathology reports, and genetic profiles, AI algorithms can assist in early detection and accurate diagnosis. Image recognition algorithms can analyze radiological images, such as mammograms or CT scans, to detect subtle abnormalities and assist radiologists in identifying potential tumors. AI can also aid pathologists in analyzing tissue samples, leading to more precise and efficient cancer diagnoses. AI's impact extends beyond diagnosis into treatment decision-making. The integration of AI algorithms with clinical data allows for personalized treatment approaches. By analyzing patient characteristics, disease stage, genetic markers, and treatment outcomes, AI can provide valuable insights to oncologists, aiding in treatment planning and predicting response to specific therapies. This can lead to more targeted and effective treatment strategies, improving patient outcomes and reducing unnecessary treatments and side effects. Furthermore, AI plays a crucial role in cancer prevention. By analyzing genetic and environmental risk factors, AI algorithms can identify individuals at higher risk of developing certain cancers. This enables targeted screening programs and early interventions, allowing for timely detection and prevention of cancer. Additionally, AI can analyze population-level data to identify trends and patterns, contributing to the development of public health strategies for cancer prevention and control. AI's involvement in cancer care goes beyond diagnosis and treatment, encompassing ongoing management and survivorship. AI-powered systems can monitor treatment response, track disease progression, and detect recurrence at an early stage. By continuously analyzing patient data, including imaging, laboratory results, and clinical assessments, AI algorithms can provide real-time insights, facilitating timely interventions and adjustments to treatment plans. This proactive approach to disease management improves patient outcomes and enhances quality of life.</p&gt