Cancer biomarker discovery: current status and future perspectives
Katrin Mäbert1, Monica Cojoc, Claudia Peitzsch
1OncoRay-National Center for Radiation Research in Oncology, Medical Faculty Dresden Carl Gustav Carus , TU Dresden , Germany.
International Journal of Radiation Biology
|February 15, 2014
Summary
Discovering novel cancer biomarkers is crucial for early detection and personalized treatment. Advanced genomic and proteomic technologies are key to identifying these vital tumor signatures.
Area of Science:
- Oncology
- Biomarker Discovery
- Genomics and Proteomics
Background:
- Cancer is a complex multigene disease driven by genetic and epigenetic alterations.
- Tumor heterogeneity and cancer stem cells (CSC) present challenges in biomarker development.
- Biomarkers are essential for early cancer detection, staging, and personalized therapy.
Purpose of the Study:
- To review preclinical strategies for cancer biomarker discovery.
- To discuss emerging approaches for identifying sensitive and specific tumor signatures.
- To highlight the role of biomarkers in advancing individualized cancer treatment.
Main Methods:
- Genomic, proteomic, metabolomic, and microRNomic profiling.
- Comparative genome hybridization (CGH) and single nucleotide polymorphism (SNP) analysis.
- Next-generation sequencing (NGS), high-throughput screening (HTS), circulating tumor cells (CTC), CSC markers, and cell-free circulating tumor DNA (ctDNA).
Main Results:
- Powerful genomic and proteomic technologies enable simultaneous analysis of numerous biological molecules.
- These advancements facilitate the discovery of new, sensitive, and specific tumor signatures.
- Biomarker discovery is paving the way for improved cancer detection, monitoring, and treatment selection.
Conclusions:
- Integrated bioinformatic tools enhance the analysis of large-scale molecular data.
- New tumor signatures promise enhanced sensitivity and specificity for cancer diagnostics.
- Individualized cancer treatment strategies are becoming more attainable through advanced biomarker research.
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