关键词: angiogenesis cancer enriched environment pro-oncogenic factor tumor growth

Mesh : Humans Mice Animals Disease Models, Animal Neoplasms Medical Oncology

来  源:   DOI:10.3390/ijms242216516   PDF(Pubmed)

Abstract:
This systematic review aims to evaluate the influence of environmental enrichment (EE) on oncological factors in experimental studies involving various types of cancer models. A comprehensive search was conducted in three databases: PubMed (161 articles), Embase (335 articles), and Scopus (274 articles). Eligibility criteria were applied based on the PICOS strategy to minimize bias. Two independent researchers performed the searches, with a third participant resolving any discrepancies. The selected articles were analyzed, and data regarding sample characteristics and EE protocols were extracted. The outcomes focused solely on cancer and tumor-related parameters, including cancer type, description of the cancer model, angiogenesis, tumor occurrence, volume, weight, mice with tumors, and tumor inhibition rate. A total of 770 articles were identified across the three databases, with 12 studies meeting the inclusion criteria for this systematic review. The findings demonstrated that different EE protocols were effective in significantly reducing various aspects of tumor growth and development, such as angiogenesis, volume, weight, and the number of mice with tumors. Furthermore, EE enhanced the rate of tumor inhibition in mouse cancer models. This systematic review qualitatively demonstrates the impacts of EE protocols on multiple parameters associated with tumor growth and development, including angiogenesis, occurrence, volume, weight, and tumor incidence. Moreover, EE demonstrated the potential to increase the rate of tumor inhibition. These findings underscore the importance of EE as a valuable tool in the management of cancer.
摘要:
本系统综述旨在评估涉及各种类型癌症模型的实验研究中环境富集(EE)对肿瘤因素的影响。在三个数据库中进行了全面搜索:PubMed(161篇文章),Embase(335篇文章),和Scopus(274篇文章)。基于PICOS策略应用资格标准以最小化偏差。两名独立研究人员进行了搜索,与第三个参与者解决任何差异。对选定的文章进行了分析,并提取有关样本特征和EE方案的数据。结果仅集中在癌症和肿瘤相关参数上,包括癌症类型,癌症模型的描述,血管生成,肿瘤发生,volume,体重,患有肿瘤的小鼠,和肿瘤抑制率。在这三个数据库中总共发现了770篇文章,12项研究符合本系统评价的纳入标准.研究结果表明,不同的EE方案在显着减少肿瘤生长和发展的各个方面是有效的,比如血管生成,volume,体重,和肿瘤小鼠的数量。此外,EE提高了小鼠癌症模型中的肿瘤抑制率。本系统综述定性地证明了EE方案对与肿瘤生长和发育相关的多个参数的影响。包括血管生成,发生,volume,体重,和肿瘤发病率。此外,EE显示出增加肿瘤抑制率的潜力。这些发现强调了EE作为癌症管理中有价值的工具的重要性。
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