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Updated: May 23, 2026

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
Published on: April 18, 2025
Introduction to cancer biomarkers and current research
Ashutosh Rai1, Meenakshi Singh2, Shiv Charan3
1Department of Biochemistry, Panjab University, Chandigarh, India.
Cancer biomarkers are key indicators for diagnosis, prognosis, and treatment. Advanced techniques like liquid biopsy and AI are enhancing their precision for personalized oncology.
Area of Science:
- Oncology
- Biomarker Discovery
- Personalized Medicine
Background:
- Biomarkers are crucial in oncology for cancer diagnosis, prognosis, and treatment.
- They are classified as prognostic, predictive, and diagnostic based on application.
- Current research includes advanced markers like circulating tumor cells (CTCs) and lipid metabolism markers.
Purpose of the Study:
- To explore the utility, advancements, and challenges of biomarkers in oncology.
- To highlight the role of emerging technologies in biomarker discovery and application.
- To discuss the future trajectory of biomarkers in personalized cancer care.
Main Methods:
- Review of current literature on cancer biomarkers.
- Discussion of advanced detection techniques including molecular profiling and liquid biopsy.
- Exploration of high-throughput techniques like next-generation sequencing and mass spectrometry.
- Consideration of emerging tools such as radiogenomics and artificial intelligence (AI).
Main Results:
- Biomarkers guide personalized treatment strategies in oncology.
- Advances in molecular profiling and liquid biopsy enhance biomarker utility.
- High-throughput techniques accelerate biomarker discovery for personalized therapeutics.
- AI and radiogenomics show promise for more precise cancer biomarkers.
Conclusions:
- Biomarkers are integral to personalized oncology, aiding in diagnosis, prognosis, and treatment selection.
- Continuous innovation in detection and analysis technologies is expanding their capabilities.
- The future of oncology biomarkers involves AI and radiogenomics for enhanced precision and patient outcomes.
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