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Updated: Jun 10, 2026

Establishing Intracranial Brain Tumor Xenografts With Subsequent Analysis of Tumor Growth and Response to Therapy using Bioluminescence Imaging

Establishing Intracranial Brain Tumor Xenografts With Subsequent Analysis of Tumor Growth and Response to Therapy using Bioluminescence Imaging

Published on: July 13, 2010

[Microarray analysis of tumor xenograft model].

Fumiko Fujita¹, Masatoshi Shirane, Kazushige Mori

¹Experimental Cancer Chemotherapy Research Laboratories Co., Ltd.

Gan to Kagaku Ryoho. Cancer & Chemotherapy

|August 19, 2010

Summary

Gene expression profiling accurately predicts anticancer drug sensitivity in human tumors. This approach aids in selecting the most effective treatments, paving the way for personalized cancer medicine.

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Area of Science:

Oncology
Genomics
Pharmacology

Context:

Personalized medicine aims to tailor cancer treatments to individual patients.
Accurate prediction of drug response is crucial for effective cancer therapy.
Gene expression profiling offers a potential method for predicting chemosensitivity.

Purpose:

To investigate the utility of gene expression profiling for predicting anticancer drug efficacy.
To cluster human tumor cells based on their response to nine antitumor drugs.
To identify specific gene expression patterns associated with drug sensitivity.

Summary:

Gene expression profiling was performed on forty human tumor cell lines using unsupervised hierarchical clustering analysis.
Tumor cells were clustered into four groups based on their response to nine antitumor drugs, including a 5-fluorouracil (5-FU)-related group.
Analysis revealed up-regulation of p53-related genes in 5-FU-sensitive tumor groups, suggesting a link between gene expression and drug response.

Impact:

Gene expression profiling can predict chemosensitivity, enabling the selection of optimal anticancer drugs.
Microarray analysis serves as a valuable tool for developing tailor-made cancer medications.
This research supports the advancement of personalized oncology through molecular profiling.