Method and device for calculating relationship between high-risk HPV types and cervical cancer precancerous lesion stages

Abstract

The invention provides a method and a device for calculating a relationship between high-risk HPV types and cervical cancer precancerous lesion stages. The method comprises the steps: carrying out classification on N kinds of high-risk HPV infection data, obtained through thin-layer cytological examination (TCT) and HPV genotyping detection, under M kinds of cervical cancer precancerous lesion stages, and obtaining HPV infection preprocessing data in different infection modes; performing clustering analysis based on the HPV preprocessing data, and obtaining the similarity of different high-risk HPVs based on a clustering analysis result; and carrying out modeling according to Poisson distribution based on the HPV preprocessing data under the single infection and multiple infection modes, and performing regression analysis to obtain the influence proportion of the HPV single infection and multiple infection on the cervical cancer precancerous lesion. According to the method, a clustering technology and a statistical analysis method are combined to mine biological data, and the relationship between different high-risk HPVs and different cervical cancer precancerous lesion stages is found.

Description

technical field [0001] The invention relates to a method for mining and researching the relationship between different high-risk HPV types and cervical precancerous lesion stages by combining biomedical data, using computer data mining technology and statistical analysis technology, especially involving a high-risk HPV type and A calculation method and device for the stage relationship of cervical precancerous lesions. Background technique [0002] Cervical cancer, as the fourth most common tumor threatening women's health in the world, has been confirmed by research to be mainly caused by human papillomavirus (HPV). According to the report, cancer cases associated with HPV infection account for 4.5% of the total number of new cancers worldwide, and cervical cancer accounts for 83% of these HPV infection-related cancers, which poses a serious threat to women's health, especially in developing countries. a great threat. Epidemiological studies have shown that N HPV types (t...

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Problems solved by technology

However, due to the prevalence of some HR-HPV types in the same precancerous lesion stage will be significantly higher than other HR-HPV types; and for the same HR-HPV, the subtype in different precancerous Prevalence rates are also not consistent within the lesion stage group, so it is controversial to use the total precancerous lesion stage data to describe the infection relationship between HR-HPV types and precancerous lesion stage

[0004] On the other hand, at the level of HPV multiple infection, it is not clear whether multiple infection (infection with two or more HPV types) has a greater impact on the risk of cervical cancer than single infection (infection with only one HPV type) Big

Many scholars have studied this. For example, Chaturvedi et al. studied the co-infection mode of 25 HPV genotypes and calculated the odds ratio (OR) of each genotype combined with 24 other genotypes. The results showed that multiple The risk of infection is close to the sum of the estimated risks of individual types, and there is little evidence of synergistic interactions between HPV genotypes; however, the findings of Ying et al. mono-infected women

It may be due to the differences in the HPV types, patient age and other related factors collected in these different multiple infection studies, which led to inconsistent conclusions on the risk of multiple infections causing cervical lesions

In addition, most previous studies mainly used cohort analysis methods without considering the use of regression models to study the impact of single infection and multiple infection of different HPV types at different stages of precancerous lesions

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