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分析癌症相关微生物组的挑战和机遇

Minghao Chia¹, Mihai Pop², Steven L Salzberg³

¹Genome Institute of Singapore, Singapore, Singapore.

Cancer research

|August 12, 2025

概括

与癌症相关的微生物组研究使用先进的测序来寻找生物标志物和治疗方法. 本综述涵盖了分析这些微生物组以获得更好的癌症护理的计算挑战和机会.

科学领域:

微生物学微生物学
生物信息学是一种生物信息学.
在瘤学瘤学.

背景情况:

癌症相关的微生物组研究正在迅速推进,这是由于高通量测序.
微生物组为非侵入性癌症生物标志物和新的治疗策略提供了潜力.

研究的目的:

审查分析癌症相关微生物组的计算挑战和机会.
讨论对分类学和功能性特征的测序驱动策略.
突出数据库选择和宿主微生物群相互作用推断的考虑因素.

主要方法:

对微生物组数据的当前计算工具和分析策略的审查.
讨论识别污染和偏差的优点和局限性.
探索统计,代谢和网络推断技术.

主要成果:

目前的工具在解决物种/菌株和识别污染方面存在局限性.
数据库的选择对于准确的元基因组学分析至关重要.
空间和单细胞技术,以及人工智能,正在增强微生物组的洞察力.

结论:

解决计算挑战是推动癌症微生物组研究的关键.
需要强大的分析方法来管理大型数据集并生成假设.
未来的方向包括整合多学科数据和人工智能,以更深入地理解.

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