Cancer genetics has become a relevant topic given the prevalence of cancer. Kent (2020) examined predictive analytics detection of genes that drive cancer progression. In her article, she indicated that researchers from UCI identified undiscovered genes that accelerate cancer spread through a predictive analytics tool known as DORGE. According to her, the algorithm has increased the researchers’ level of understanding of epigenetic elements in carcinogenesis. The UCI researchers' study showcased how cancer accelerator genes predetermined by the algorithm entailed both recognized cancer driver genes and new accelerator genes not published in current literature. The findings also showed that the new dual-functional genes, which the algorithm predicted as oncogenes and tumor suppressor genes, were significantly enhanced at protein-protein interaction points. The researchers also discovered that DORGE could assist healthcare practitioners in better comprehending cancer’s genetic elements. The algorithm could integrate epigenetic data to realize a more comprehensive forecast of cancer accelerator genes. According to her, they also indicated that DORGE could be useful in cancer biology, specifically in the creation of targeted therapeutics and individualized medicine for treating cancer. Kent (2020) indicated that the researchers’ findings could play a considerable part in improved cancer care in the future. She also contended that researchers have recently made progress in comprehending the genetic variables linked with cancer development and advancement. According to her, another study showed that wide genetic testing could determine inherited genetic mutations and drive precision medicine therapies for cancer patients. The results indicated that when physicians employed standard measures to choose patients for genetic testing, healthcare practitioners could only find forty-eight percent of patients with an acquired genetic mutation. They also indicated that more than fifty percent of the patients who had cancer as a result of inherited mutations were undetected. They mentioned that every individual has a risk of becoming a cancer victim, and in most instances, the condition develops by chance. Regardless, some individuals are genetically susceptible to developing specific cancer types, including colon or breast cancers.
Content Connection
The news article's content directly relates to three course components, including the nature of cancer, tumor suppressor genes, and oncogenes. Cancer can be regarded as genetic alterations in somatic cells. It is a genetic disorder, given that it is associated with families. Kent’s (2020) article highlights cancer’s genetic and hereditary nature. According to her, an inherited mutation can contribute to cancer development. In this respect, cancer is the product of an accumulation of vital genetic changes that interrupt the balance between cell division and programmed cell death. Study results showed that forty-eight percent of patients with a hereditary genetic mutation were identified when physicians utilized normal guidelines to choose patients for genetic testing. They also showed that some individuals are genetically prone to developing specific cancers, including colon or breast cancers. In this case, the author showcased the hereditary and genetic nature of cancer. The course content mentions the primary types of genes linked to cancer. One such gene is the tumor suppressed genes, which play a role in regulating the cell cycle. Kent (2020) indicates that the tumor suppressed genes have driver mutations and, in this case, can cause the development of cancer. Another gene linked with cancer is oncogenes, which contribute to cell growth. According to the author, oncogenes also contribute to cancer progression. In this sense, the content of the author's article supported the course content related to the two cancer-linked genes.
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Reference
Kent, J. (2020). Predictive analytics detects genes that accelerate cancer progression . Health IT Analytics. https://healthitanalytics.com/news/predictive-analytics-detects-genes-that-accelerate-cancer-progression .
