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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

Computational methods and challenges in analyzing intratumoral microbiome data.

Qi Wang¹, Zhaoqian Liu¹, Anjun Ma²

¹School of Mathematics, Shandong University, Jinan, Shandong, 250100, China.

Trends in Microbiology

|February 25, 2023

Summary

This summary is machine-generated.

The human microbiome significantly impacts cancer development and treatment efficacy, particularly in immuno-oncology-microbiome (IOM) interactions. This review explores intratumoral microbes and computational methods for IOM research insights.

Keywords:

cancer treatment and diagnosis computational methods immuno-oncology-microbiome immunotherapy intratumoral microbiome

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Area of Science:

Oncology
Microbiology
Immunology

Background:

The human microbiome influences cancer biology and treatment effectiveness, including immunotherapy.
Microbes impact tumor development via host immune system interactions, termed immuno-oncology-microbiome (IOM).

Purpose of the Study:

To review the intratumoral microbiome within the IOM field.
To describe data and computational methods for microbial profiling in cancer.
To discuss challenges and future directions in IOM research.

Main Methods:

Literature review and integration of microorganisms associated with cancer and its treatment.
Analysis of microbial profiling from bulk, single-cell, and spatial sequencing data.
Discussion of computational approaches for biological insights.

Main Results:

Identified microorganisms linked to cancer and treatment outcomes within the IOM context.
Highlighted data analysis and integration challenges in IOM research.
Synthesized current knowledge on the intratumoral microbiome's role in IOM.

Conclusions:

The intratumoral microbiome is a critical component of immuno-oncology-microbiome (IOM) interactions.
Advanced computational methods are essential for deciphering microbial roles in cancer.
Further research is needed to fully elucidate the IOM axis for improved cancer therapies.