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Cell and Developmental Biology Commons

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Full-Text Articles in Cell and Developmental Biology

The Evolution Of Tumor Suppressing Genes In Multicellular Organisms: Nature’S Prevention Of Oncogenesis, Melanie Perez May 2024

The Evolution Of Tumor Suppressing Genes In Multicellular Organisms: Nature’S Prevention Of Oncogenesis, Melanie Perez

FIU Undergraduate Research Journal

The p53 gene family, a well-known group of genes, is the primary propagator of tumor-suppressing mechanisms in multicellular organisms. Although they are currently critical drug targets in cancer, the p53 family also serves specific functions in the development of multicellular organisms. In this paper, the current function, origin, and evolutionary purpose of the p53 family are reviewed in the evolution of multicellular organisms. The TP53 gene induces cellular responses such as apoptosis as a way to combat detrimental environmental and cellular factors that can damage the integrity of a cell’s DNA. The other two members of the p53 family are …


The Transmission Of Oropharyngeal Squamous Cell Carcinoma, Kunjal Patel, Aleesha Thomas Feb 2024

The Transmission Of Oropharyngeal Squamous Cell Carcinoma, Kunjal Patel, Aleesha Thomas

Mako: NSU Undergraduate Student Journal

The existence of Oropharyngeal Squamous Cell Carcinoma (OPSCC) has recently been found to have correlations with the Human Papillomavirus. HPV-associated OPSCC exhibits a unique method of infection and transmission and has made this branch an emerging disease in the recent decade. This systematic review of the literature was conducted to further explore research into Oropharyngeal Squamous Cell Cancer (OPSCC). Commonly referred to as “throat cancer”, this growth originates in the oropharynx. Symptoms of this condition include sore throat, lumps in the neck, and difficulty with swallowing. OPSCC has many variants but has shown a strong association with Human Papillomavirus (HPV), …


Targeting Strategies To Optimize The Therapeutic Potential Of Gold Compounds Against Her2-Positive Breast Cancers, Afruja Ahad Feb 2024

Targeting Strategies To Optimize The Therapeutic Potential Of Gold Compounds Against Her2-Positive Breast Cancers, Afruja Ahad

Dissertations, Theses, and Capstone Projects

The overexpression of HER2 accounts for 20-30% of breast cancer tumors and not only serves as a marker for poor predictive clinical outcomes but also as a target for treatment. Antibody-drug conjugates (ADCs) combine the selectivity of monoclonal antibodies (mAbs) with the efficacy of chemotherapeutic drugs to provide targeted treatment without toxicity to normal tissue. Most of the ADCs currently in the clinic for cancer chemotherapy are based on complex organic molecules. In contrast, the conjugation of metallodrugs to mAbs has been overlooked when there is enormous potential in this area with the resurgence of metal-based drugs as prospective cancer …


Protein-Protein Interactions In Cell Cycle Proteins: An In Silico Investigation Of Two Important Players, Andriele Eichner Feb 2024

Protein-Protein Interactions In Cell Cycle Proteins: An In Silico Investigation Of Two Important Players, Andriele Eichner

Dissertations, Theses, and Capstone Projects

The examination of the cell cycle carries significant implications for the biology, health, and overall existence of all living things. These implications span from the development and growth of these organisms to the aging process and cancer, as well as the potential of stem cell therapies to repair diseases and injuries. Numerous proteins of the cell cycle are essential for cellular division and proliferation and are widely conserved over the course of evolution. In this work, we aimed to investigate the molecular processes of protein-protein interactions in cell cycle proteins, centering on two key players: Cdc6 in budding yeast and …


Machine Learning As A Tool For Early Detection: A Focus On Late-Stage Colorectal Cancer Across Socioeconomic Spectrums, Hadiza Galadima, Rexford Anson-Dwamena, Ashley Johnson, Ghalib Bello, Georges Adunlin, James Blando Jan 2024

Machine Learning As A Tool For Early Detection: A Focus On Late-Stage Colorectal Cancer Across Socioeconomic Spectrums, Hadiza Galadima, Rexford Anson-Dwamena, Ashley Johnson, Ghalib Bello, Georges Adunlin, James Blando

Community & Environmental Health Faculty Publications

Purpose: To assess the efficacy of various machine learning (ML) algorithms in predicting late-stage colorectal cancer (CRC) diagnoses against the backdrop of socio-economic and regional healthcare disparities. Methods: An innovative theoretical framework was developed to integrate individual- and census tract-level social determinants of health (SDOH) with sociodemographic factors. A comparative analysis of the ML models was conducted using key performance metrics such as AUC-ROC to evaluate their predictive accuracy. Spatio-temporal analysis was used to identify disparities in late-stage CRC diagnosis probabilities. Results: Gradient boosting emerged as the superior model, with the top predictors for late-stage CRC diagnosis being anatomic site, …