In the realm of oncology, genetic mutations are well-established as pivotal factors predisposing individuals to various cancers. Particularly, germline mutations hold considerable implications for familial cancer syndromes, offering a poignant window into inherited risk factors. Recent progress in next-generation sequencing (NGS) technologies has significantly enhanced our ability to pinpoint individuals at elevated risk of developing cancer. This technological leap forward not only facilitates more accurate predictions but also improves the timing of such forecasts, aligning earlier intervention possibilities with tailored therapeutic strategies. However, despite the fertile research ground presented by areas with a high and diverse incidence of cancer cases, there has been a lack of systematic efforts to explore the genetic landscape across certain populations, and insufficient focus on understanding the genetic underpinnings of cancer in these groups.

This Research Topic aims to explore and validate the impact of genetic profiling on predicting cancer risk and disease progression in populations with limited data and genetic landscape. The central objective is to first interrogate the genetic landscape among these populations and bolster the development of personalized prevention plans and early diagnostic tools, thereby optimizing clinical outcomes and potentially reducing cancer-related morbidity and mortality.

To delve deeper into the nuances of genetic influences on cancer, our scope is distinctly defined yet broad in its investigative potential. We will focus on the following key themes:

o Identification of Pathogenic Variants
o Functional studies: Characterizing the functional effects of candidate mutations which are unique to cancer patients
o Impact of Genetic Counseling: Examining the influence of familial genetic information on decisions made by patients and clinicians.
o Technological Advancements in Detection: Assessing the use of next-generation sequencing to detect and interpret complex genetic data.
o Predictive Value of Genetic Profiling: Evaluating the efficacy of genetic markers in forecasting cancer risk and outcomes.
o Policy and Ethical Considerations: Addressing the ethical, legal, and social implications of preemptive genetic testing.

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Unraveling Germline Mutations: Advances in Genetic Profiling for Cancer Risk