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Related Experiment Video

Updated: Jul 6, 2026

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

Indirect genomic effects on survival from gene expression data.

Egil Ferkingstad¹, Arnoldo Frigessi, Heidi Lyng

¹Department of Biostatistics and (sfi) Statistics for Innovation, University of Oslo, Gaustadalleen, Oslo, NO-0314, Norway. egil.ferkingstad@medisin.uio.no

|March 25, 2008

Summary

Researchers developed a new method to find indirect gene effects on cancer survival. This approach uncovers crucial genetic interactions impacting tumor progression using gene expression data.

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Area of Science:

Genomics
Bioinformatics
Cancer Research

Background:

Gene effects on cancer patient survival are complex.
Indirect gene effects, mediated by gene interactions, are significant but difficult to study.
Current methodologies are insufficient for analyzing these indirect genetic contributions.

Purpose of the Study:

To introduce a novel methodology for detecting and quantifying indirect gene effects.
To analyze indirect genetic effects on patient survival in cancer.
To identify key genetic interactions driving tumor progression.

Main Methods:

Development of a new computational methodology.
Application of the method to gene expression data from cancer microarrays.
Analysis of indirect effects from transcription factor target genes.

Main Results:

Successful detection and quantification of indirect gene effects.
Identification of specific indirect effects involving transcription factor target genes.
Demonstration of the significant role of these genetic interactions in tumor progression.

Conclusions:

The proposed methodology effectively identifies indirect gene effects on cancer survival.
Discovered genetic interactions offer new insights into tumor progression mechanisms.
This approach provides a valuable tool for cancer genomics research.