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Updated: Jul 28, 2026
13:24
Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016
[Perspectives on postgenome medicine: Cancer]
1Department of Molecular Diagnosis, Cancer Institute, Japanese Foundation for Cancer Research.
Nihon Rinsho. Japanese Journal of Clinical Medicine
|February 24, 2001
Summary
Cancer progression involves genetic and epigenetic changes, but predicting patient outcomes remains challenging. Functional genomics tools like DNA microarrays and SNP analysis offer new avenues for personalized cancer therapy and diagnosis.
Area of Science:
- Oncology
- Genomics
- Epigenetics
Context:
- Carcinogenesis is a complex, multistep process driven by accumulating genetic and epigenetic alterations.
- Individual cancer characteristics, including drug sensitivity and metastatic potential, vary significantly among patients.
- Accurate prediction of these patient-specific cancer traits is currently limited.
Purpose:
- To explore the utility of functional genomics tools in understanding cancer heterogeneity.
- To highlight the potential of DNA microarray and Single Nucleotide Polymorphism (SNP) data in advancing cancer diagnosis and treatment.
- To underscore the shift towards personalized medicine in oncology.
Summary:
- DNA microarray technology enables large-scale analysis of gene expression profiles, providing insights into cancer biology.
- SNP analysis offers valuable resources for understanding genetic variations relevant to cancer therapy.
- These genomic approaches are crucial for developing individualized treatment strategies.
Impact:
- These advancements are expected to significantly improve cancer diagnosis and therapeutic efficacy.
- The integration of functional genomics data paves the way for 'personalized medicine'.
- Future cancer care will be increasingly tailored to individual patient profiles and disease characteristics.
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