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Updated: Jul 11, 2025

Modeling Primary Bone Tumors and Bone Metastasis with Solid Tumor Graft Implantation into Bone

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Published on: September 9, 2020

Engineering Heterogeneous Tumor Models for Biomedical Applications.

Zhuhao Wu¹, Danqing Huang¹, Jinglin Wang¹

¹Department of Rheumatology and Immunology, Nanjing Drum Tower Hospital, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)

|November 10, 2023

Summary

Engineered tumor models can mimic cancer in vitro, but struggle with heterogeneity. This review explores methods to build better tumor models for cancer research and therapy.

Keywords:

drug screening microfluidics organ-on-a-chip tissue engineering tumor heterogeneity tumor models

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Area of Science:

Oncology
Biomedical Engineering
Tissue Engineering

Background:

Tumor tissue engineering aims to replicate in vitro tumor characteristics for research.
Current tumor models lack sufficient reconstruction of tumor heterogeneity, hindering widespread adoption.
Tumor heterogeneity encompasses signaling pathways, cell proliferation, and spatial configurations.

Purpose of the Study:

To review the progress in engineering heterogeneous tumor models.
To summarize components of tumor heterogeneity and contemporary engineering approaches.
To discuss characterization, applications, challenges, and future directions for engineered tumor models.

Main Methods:

Summarizing major components of tumor heterogeneity.
Elucidating contemporary tumor engineering approaches guided by tumor biology principles.
Highlighting the potential of bottom-up approaches in tumor engineering.

Main Results:

Engineered tumor models offer new opportunities for studying the tumor microenvironment and anti-cancer therapeutics.
Characterization approaches and biomedical applications of tumor models are discussed.
The significant role of engineered tumor models in scientific research and clinical trials is emphasized.

Conclusions:

Addressing challenges in heterogeneous tumor models is crucial for advancing oncology research and tumor therapy.
Future research should focus on improving the understanding and reconstruction of tumor heterogeneity.
Engineered heterogeneous tumor models hold significant promise for future cancer research and treatment development.