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Related Experiment Video

Updated: May 8, 2026

A Three-dimensional Model of Spheroids to Study Colon Cancer Stem Cells

A Three-dimensional Model of Spheroids to Study Colon Cancer Stem Cells

Published on: January 22, 2021

Can stroma reaction predict cancer lethality?

Michael R Freeman¹, Quanlin Li, Leland W K Chung

¹Authors' Affiliations: Departments of Medicine, Surgery, Biomedical Sciences, and Biostatistics and Bioinformatics Center, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles, California.

Clinical Cancer Research : an Official Journal of the American Association for Cancer Research

|September 7, 2013

Summary

This summary is machine-generated.

Stromal features in solid tumors can help stratify patients. Stroma-derived gene expression signatures may predict patient survival and guide precision medicine for disease progression and treatment resistance.

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Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies

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Published on: July 3, 2025

Area of Science:

Oncology
Molecular Biology
Bioinformatics

Background:

Stromal characteristics in solid tumors offer consistent patient stratification potential.
Tumor microenvironment interactions are crucial in cancer progression.

Purpose of the Study:

To investigate the utility of stroma-derived transcriptome signatures for predicting patient survival.
To explore the clinical application of these signatures in precision medicine.

Main Methods:

Analysis of stroma-derived gene expression profiles.
Correlation of transcriptome signatures with patient survival data.
Evaluation of predictive power for disease progression and therapeutic resistance.

Main Results:

Stromal transcriptome signatures demonstrate consistency in patient stratification.
These signatures are predictive of patient survival outcomes.
Potential for predicting disease progression and therapeutic resistance identified.

Conclusions:

Stromal features provide a reliable method for stratifying cancer patients.
Stroma-derived transcriptome signatures hold promise for clinical applications in precision oncology.
These signatures can aid in predicting patient prognosis and guiding treatment strategies.