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Related Concept Videos

Reporter Genes02:11

Reporter Genes

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Reporter genes are a type of protein-coding gene that are often tagged to a gene of interest. Once inside a target cell, reporter genes usually produce visually identifiable characteristics like fluorescence and luminescence when expressed along with the gene of interest. Thus, reporter genes “report” the presence or absence of genes of interest in an organism, determine the gene expression pattern, or track the physical location of a DNA segment or protein in the cell.
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Related Experiment Video

Updated: Nov 5, 2025

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
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Radiogenomics in prostate cancer evaluation.

Ronan Thenault1, Anis Gasmi1, Zine-Edine Khene1

  • 1Department of Urology, Service d'urologie, Rennes University Hospital, Hôpital Pontchaillou.

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|May 19, 2021
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Summary
This summary is machine-generated.

Radiogenomics integrates imaging and genetic data for prostate cancer management. While promising for personalized medicine, further research is needed to overcome current limitations for clinical integration.

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Area of Science:

  • Oncology
  • Medical Imaging
  • Genomics

Background:

  • Radiogenomics combines radiomics and genomics for enhanced cancer understanding.
  • Its application in prostate cancer management is an emerging research area.

Purpose of the Study:

  • To provide an overview of radiogenomics.
  • To highlight recent applications in prostate cancer management.

Main Methods:

  • Review of literature on radiogenomics in prostate cancer.
  • Focus on MRI-based radiomic features and deep learning.
  • Analysis of imaging biomarkers for predicting genomic profiles (e.g., PTEN, Oncotype DX, Prolaris).

Main Results:

  • Radiogenomics in prostate cancer primarily utilizes MRI-based features.
  • Studies show potential in predicting genomic profiles using radiomic features.
  • Current limitations hinder widespread clinical adoption.

Conclusions:

  • Radiogenomics offers a noninvasive approach for personalized prostate cancer medicine.
  • Artificial intelligence and integrated data hold future promise.
  • Further research is essential for clinical integration into decision-making.