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Research on etiology and pathogenesis of cancer based on data mining under theguidance of Neijing theory

Research on etiology and pathogenesis of cancer based on data mining under theguidance of Neijing theory
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摘要 Etiology and pathogenesis are the causes and mechanisms of disease development and change. The unification and innovation of cancer pathogenesis is the key to the breakthrough of Chinese medicine. According to the related theory in Neijing, cancer in different parts of the body could be classified based on the five elements. Chinese mainland is divided into five parts: east, south, west, north and central section. Based on the annual data of China Cancer Center, we analyzed the data of 72 cancer registries covering 32 provinces and autonomous regions for consecutive 5 years. The results showed that the total incidence of the five regions in the mainland of China was statistically significant (F = 8.561, P 〈 0.01); the east was the highest, the west was the lowest, and the south, middle and north were in the middle level. The incidence of tumors in different parts of the human body was statistically significant (F = 523.382, P 〈 0.01). The incidence rate from high to low was lung, spleen, kidney, liver and heart. The heat is too much in China's eastern and the southern, and Qi is not too enough in the northwest. Five-Qi was imbalance. The pathogenesis of cancer is due to the two aspects, deficiency of five Zang-organs and abnormal seasonal climates. The viscera weakness for a long period and abnormal seasonal climates causes the body Yin and Yang disharmony, resulting in five zang organs dysfunction. 病因病机是研究疾病发生、发展、变化的原因和机理.癌症病机理论的统-和创新是中医药抗癌获得实质性突破的关键.按照《内经》相关理论,人体不同部位的癌症可以按照五行归类;中国大陆划分为东南西北中五方.以中国癌症中心年报大数据为基础,我们对覆盖32个省市自治区72个癌症登记处连续5年的发病数据进行分析研究.研究结果表明中国大陆五个地区的总发病率间有统计学意义(F=8.561,P〈0.01),东部最高,西部最低,南、中、北部居于中间水平.人体不同部位的肿瘤发病率有统计学意义(F=523.382,P〈0.01),发病率从高到低依次是肺、脾、肾、肝、心.我国东方风气、南方暑气太过,西北中之气不及,处于五气失衡状态;癌症的病机为脏腑虚弱、长期收受四时不正之气,引起机体阴阳不和,五脏功能失调,五行生克制化失衡,行(形)气败乱.
出处 《TMR Theory and Hypothesis》 2018年第2期26-33,共8页 TMR理论与假说
关键词 Huangdi neijing CANCER Big data Etiology and pathogenesis 黄帝内经 癌症 数据挖掘 病因病机
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