Background

Researches on Lifestyle medicine (LM) have emerged in recent years to garner wide attention. Prostate cancer (PCa) could be prevented and treated by positive lifestyles, but the association between lifestyles and PCa is always personalized.

Objectives

In order to solve the heterogeneity and diversity of different data types related to PCa, establish a standardized lifestyle ontology, promote the exchange and sharing of disease lifestyle knowledge, and support text mining and knowledge discovery.

Methods

The overall construction of PCLiON was created in accordance with the principles and methodology of ontology construction. Following the principles of evidence-based medicine, we screened and integrated the lifestyles and their related attributes. Protégé was used to construct and validate the semantic framework. All annotations in PCLiON were based on SNOMED CT, NCI Thesaurus, the Cochrane Library and FooDB, etc. HTML5 and ASP.NET was used to develop the independent Web page platform and corresponding intelligent terminal application. The PCLiON also uploaded to the National Center for Biomedical Ontology BioPortal.

Results

PCLiON integrates 397 lifestyles and lifestyle-related factors associated with PCa, and is the first of its kind for a specific disease. It contains 320 attribute annotations and 11 object attributes. The logical relationship and completeness meet the ontology requirements. Qualitative analysis was carried out for 329 terms in PCLiON, including factors which are protective, risk or associated but functional unclear, etc. PCLiON is publicly available both at http://pcaontology.net/PCaLifeStyleDefault.aspx and https://bioportal.bioontology.org/ontologies/PCALION.

Conclusions

Through the bilingual online platforms, complex lifestyle research data can be transformed into standardized, reliable and responsive knowledge, which can promote the shared-decision making (SDM) on lifestyle intervention and assist patients in lifestyle self-management toward the goal of PCa targeted prevention.

中文翻译：

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PCLiON：前列腺癌相关生活方式的数据标准化和共享的本体论

背景

近年来，人们对生活方式医学（LM）的研究引起了广泛关注。积极的生活方式可以预防和治疗前列腺癌（PCa），但生活方式与PCa之间的关联始终是个性化的。

目标

为了解决与PCa相关的不同数据类型的异质性和多样性，建立标准化的生活方式本体，促进疾病生活方式知识的交换和共享，并支持文本挖掘和知识发现。

方法

PCLiON的整体构建是根据本体构建的原理和方法创建的。遵循循证医学的原则，我们筛选并整​​合了生活方式及其相关属性。Protégé被用来构建和验证语义框架。PCLiON中的所有注释均基于SNOMED CT，NCI词库，Cochrane库和FooDB等。HTML5和ASP.NET用于开发独立的Web平台平台和相应的智能终端应用程序。PCLiON还上传到了国家生物医学本体生物学门户网站。

结果

PCLiON整合了397种与PCa相关的生活方式和与生活方式相关的因素，并且是针对特定疾病的首例。它包含320个属性注释和11个对象属性。逻辑关系和完整性满足本体要求。对PCLiON中的329个术语进行了定性分析，包括具有保护性，风险性或相关性但功能不清楚的因素等。PCLiON可在http://pcaontology.net/PCaLifeStyleDefault.aspx和https://bioportal.bioontology.org/ontologies/PCALION上公开获得。

结论

通过双语在线平台，可以将复杂的生活方式研究数据转换为标准化，可靠和响应式的知识，从而可以促进生活方式干预的共享决策（SDM），并帮助患者实现生活方式自我管理，从而实现针对PCa的预防目标。