Radiogenomics: creating a link between molecular diagnostics and diagnostic imaging.

Area of Science:

• Oncology
• Radiology
• Genomics

Background:

• High-throughput biological techniques improve cancer characterization but require tissue biopsies, limiting clinical use.
• Current radiographic imaging is histopathology-based, creating a gap between imaging and molecular tumor characteristics.

Purpose of the Study:

• To review the role of high-throughput gene expression analysis in cancer research.
• To explore novel methods for associating gene expression patterns with radiographic imaging phenotypes, termed radiogenomics.
• To highlight the potential of radiogenomics in clinical cancer assessment.

Main Methods:

• Review of studies utilizing high-throughput methods like microarray analysis for gene expression profiling in cancer.
• Focus on emerging techniques that correlate imaging features with molecular data.
• Exploration of radiogenomics as a bridge between imaging and genetics.

Main Results:

• Radiogenomics enables linking specific imaging traits to gene expression patterns, offering insights into tumor pathophysiology.
• Imaging features can serve as molecular surrogates for diagnosis, prognosis, and predicting treatment response.
• This field has the potential to integrate genetic assessment into routine radiological practice.

Conclusions:

• Radiogenomics represents a promising field for non-invasive cancer characterization.
• It can enhance diagnostic accuracy and prognostic capabilities by integrating imaging and molecular data.
• Radiologists may play a future role in the genetic assessment of cancer patients through imaging studies.