Suppr超能文献

蠕虫及其抗原在癌症治疗中的作用:来自细胞系模型的见解。

The role of helminths and their antigens in cancer therapy: insights from cell line models.

作者信息

Alizadeh Gita, Kheirandish Ali, Alipour Maryam, Jafari Mahnaz, Radfar Mahdis, Bybordi Tina, Rafiei-Sefiddashti Raheleh

机构信息

Department of Parasitology and Mycology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.

Department of Pharmacology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.

出版信息

Infect Agent Cancer. 2024 Oct 9;19(1):52. doi: 10.1186/s13027-024-00613-3.

Abstract

BACKGROUND

Recent articles have explored the effect of worms on cancer cells. This review focused on various cell cultures employed to understand which cells are more commonly and less utilized.

METHODS

The present review analyzed studies published between 2013 and 2023 to obtain information about different cell cultures used in cancer studies involving helminths. Databases such as PubMed, Google Scholar, HINARI, and the Cochrane Library were searched.

RESULTS

This search yielded 130 records, but 97 papers were excluded because they were either irrelevant to the research topic (n = 72) or contradicted the research idea (n = 25).The remaining twenty-one articles focused on different types of worms, such as Echinococcus granulosus, Clonorchis sinensis, Opisthorchis felineus, Opisthorchis viverrini, Trichinella spiralis, Toxocara canis, and Heligmosomoides polygyrus.

CONCLUSION

Due to the presence of numerous antigens, parasites at different growth stages can impact various cells through unknown mechanisms. Given the high diversity of antigens and their effects, artificial intelligence can assist in predicting initial outcomes for future studies.

摘要

背景

近期的文章探讨了蠕虫对癌细胞的影响。本综述聚焦于用于了解哪些细胞被更普遍和较少使用的各种细胞培养。

方法

本综述分析了2013年至2023年间发表的研究,以获取有关涉及蠕虫的癌症研究中使用的不同细胞培养的信息。检索了PubMed、谷歌学术、HINARI和考克兰图书馆等数据库。

结果

该检索产生了130条记录,但97篇论文被排除,因为它们要么与研究主题无关(n = 72),要么与研究思路相悖(n = 25)。其余21篇文章聚焦于不同类型的蠕虫,如细粒棘球绦虫、华支睾吸虫、猫后睾吸虫、麝猫后睾吸虫、旋毛虫、犬弓首蛔虫和多房棘球绦虫。

结论

由于存在众多抗原,不同生长阶段的寄生虫可通过未知机制影响各种细胞。鉴于抗原的高度多样性及其影响,人工智能可协助预测未来研究的初步结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dacc/11465614/e766a2e2b56e/13027_2024_613_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验