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The Tumor Microenvironment

The Tumor Microenvironment

Every normal cell or tissue is embedded in a complex local environment called stroma, consisting of different cell types, a basal membrane, and blood vessels. As normal cells mutate and develop into cancer cells, their local environment also changes to allow cancer progression. The tumor microenvironment (TME) consists of a complex cellular matrix of stromal cells and the developing tumor. The cross-talk between cancer cells and surrounding stromal cells is critical to disrupt normal tissue...

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Updated: Sep 30, 2025

A Biomimetic Model for Liver Cancer to Study Tumor-Stroma Interactions in a 3D Environment with Tunable Bio-Physical Properties

A Biomimetic Model for Liver Cancer to Study Tumor-Stroma Interactions in a 3D Environment with Tunable Bio-Physical Properties

Published on: August 7, 2020

[Microenvironment in Hepatocellular Carcinoma].

Shinichi Hashimoto¹

¹Dept. of Molecular Pathophysiology, Institute of Advanced Medicine, Wakayama Medical University.

Gan to Kagaku Ryoho. Cancer & Chemotherapy

|March 17, 2022

Summary

This summary is machine-generated.

Single-cell transcriptome analysis reveals cellular diversity and intercellular interactions in hepatocellular carcinoma. This advanced technique aids in identifying specific marker genes for disease research.

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Area of Science:

Molecular Biology
Genomics
Oncology

Background:

Understanding complex cell populations is crucial for disease research.
Single-cell gene expression analysis offers insights into cellular diversity and tissue microenvironments.
Technological advancements enable high-throughput single-cell analysis in various cancer tissues.

Purpose of the Study:

To explore the utility of single-cell transcriptome analysis in hepatocellular carcinoma research.
To demonstrate the application of single-cell analysis in understanding intercellular interactions and identifying marker genes in cancer.

Main Methods:

Single-cell gene expression analysis.
Transcriptome sequencing of individual cells from hepatocellular carcinoma tissues.
Analysis of cellular diversity and stromal cell populations.

Main Results:

Detailed characterization of individual cell populations within hepatocellular carcinoma.
Identification of specific marker genes associated with hepatocellular carcinoma.
Insights into intercellular communication networks within the tumor microenvironment.

Conclusions:

Single-cell transcriptome analysis is a powerful tool for dissecting hepatocellular carcinoma complexity.
This approach facilitates the discovery of novel therapeutic targets and biomarkers.
Further research using single-cell analysis can advance our understanding of cancer biology and disease progression.