कैंसर विज्ञान और अनुसंधान जर्नल

कैंसर विज्ञान और अनुसंधान जर्नल
खुला एक्सेस

आईएसएसएन: 2576-1447

अमूर्त

Risk Probability of Having a Metabolic Disorder Induced Cancer (GHMethod:MPM)

Mr Gerald C. Hsu

Cancer is an exceedingly difficult and complicated disease that can affect any organ within the body, where abnormal cells divide and mutate rapidly, destroying healthy normal cells in the process. The possible cause of cancer can result from a combination of many different reasons. The author has dedicated the past decade on researching endocrinology and metabolism. He considers that both endocrinology and cancer are quite similar from the viewpoint of “digging into the black box”. However, based on his rudimentary understanding of cancer, he also feels that the diseases caused by cancer are probably at least 10 times more complicated than endocrinology. Although he is not an oncology expert, only a veteran and research scientist on chronic diseases and metabolism, he still has a strong curiosity and motivation in want to know what is his own risk probability of having cancer? This reason inspires his cancer research work by using his strength of metabolism knowledge to conduct his assessment on the relationship between metabolism and cancer. Table 1 demonstrate three parts of a summarized table developed by the author which connect certain cancer causing or influencing factors and organ systems affected by cancer. He still has a lot to learn about cancer diseases, for example, which organs in one particular organ system are most likely to be affected by which influential factor. Therefore, this article only serves as the beginning of his long journey of cancer research using his developed GH-Method: Math-Physical Medicine (MPM approach). The article indicates that there are 23 cancer factors to cause a total of 45.2% of entire cancer cases in China (around 2.3 million cases per year) [1]. Most of these 23 influential factors happen to be a part of components identified in his developed mathematical

अस्वीकरण: इस सार का अनुवाद कृत्रिम बुद्धिमत्ता उपकरणों का उपयोग करके किया गया था और अभी तक इसकी समीक्षा या सत्यापन नहीं किया गया है।
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