Thesis Abstract

**Abstract
** The field of cancer diagnosis and treatment has been revolutionized by the advent of Next-Generation Sequencing (NGS) technology. This thesis explores the application of NGS technology in cancer diagnosis and treatment, focusing on its impact on precision medicine and personalized treatment strategies. The study begins with an introduction to the background of NGS technology and its significance in the context of cancer research. The problem statement addresses the limitations of traditional diagnostic methods and the need for more targeted and efficient approaches in cancer management. The objectives of the study are to evaluate the efficacy of NGS technology in identifying cancer biomarkers, predicting treatment response, and guiding personalized treatment plans. The scope of the study covers various types of cancer, including solid tumors and hematologic malignancies, to provide a comprehensive overview of NGS applications across different cancer types. The limitations of the study include the cost and complexity of NGS technology, as well as the challenges associated with data analysis and interpretation. A thorough literature review is conducted in Chapter Two, which discusses ten key studies that have demonstrated the utility of NGS technology in cancer diagnosis and treatment. The review covers topics such as the identification of driver mutations, the detection of minimal residual disease, and the development of targeted therapies based on genomic profiling. Chapter Three outlines the research methodology, including sample collection and preparation, NGS data analysis pipelines, and validation strategies for clinical implementation. The chapter also discusses the ethical considerations and regulatory requirements associated with NGS testing in cancer patients. Eight key components are detailed to provide a comprehensive understanding of the experimental approach undertaken in this study. Chapter Four presents a detailed discussion of the findings obtained from the NGS analysis of cancer samples. The results highlight the utility of NGS technology in identifying actionable mutations, predicting treatment response, and monitoring disease progression. The implications of these findings for precision medicine and personalized cancer therapy are discussed in depth. In the final chapter, Chapter Five, the conclusions drawn from the study are summarized, emphasizing the potential of NGS technology to transform cancer care by enabling more targeted and effective treatment strategies. The significance of the study lies in its contribution to the field of oncology by showcasing the clinical utility of NGS technology in improving patient outcomes and advancing precision medicine approaches in cancer diagnosis and treatment. Overall, this thesis provides a comprehensive overview of the application of NGS technology in cancer diagnosis and treatment, highlighting its potential to revolutionize the field of oncology and pave the way for more personalized and effective cancer therapies.

Thesis Overview