Computational methods and challenges in analyzing intratumoral microbiome data

Wang Q.; Liu Z.; Ma A.Li Z.Liu B.Ma Q.

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Computational methods and challenges in analyzing intratumoral microbiome data

机译：Computational methods and challenges in analyzing intratumoral microbiome data

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© 2023 Elsevier LtdThe human microbiome is intimately related to cancer biology and plays a vital role in the efficacy of cancer treatments, including immunotherapy. Extraordinary evidence has revealed that several microbes influence tumor development through interaction with the host immune system, that is, immuno–oncology–microbiome (IOM). This review focuses on the intratumoral microbiome in IOM and describes the available data and computational methods for discovering biological insights of microbial profiling from host bulk, single-cell, and spatial sequencing data. Critical challenges in data analysis and integration are discussed. Specifically, the microorganisms associated with cancer and cancer treatment in the context of IOM are collected and integrated from the literature. Lastly, we provide our perspectives for future directions in IOM research.

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《Trends in Microbiology》 |2023年第7期|707-722|共16页
作者
Wang Q.; Liu Z.; Ma A.Li Z.Liu B.Ma Q.;
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作者单位

School of Mathematics Shandong University;

Department of Biomedical Informatics The Ohio State University;

Pelotonia Institute for Immuno-Oncology The James Comprehensive Cancer Center The Ohio State University;

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原文格式 PDF
正文语种英语
中图分类微生物学;
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cancer treatment and diagnosis; computational methods; immuno-oncology-microbiome; immunotherapy; intratumoral microbiome;

Computational methods and challenges in analyzing intratumoral microbiome data

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