Guest Editors
Prof. William CHO
Email: williamcscho@gmail.com
Affiliation: Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong
Homepage:
Research Interests: utilizing high-throughput technologies to discover biomarkers for cancer diagnosis, treatment prediction and prognostication
Prof. Sanjay Gupta
Email: gxs44@case.edu
Affiliation: Department of Urology, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA
Homepage:
Research Interests: cancer biomarkers, cancer therapeutics and drug repurposing and cancer stem cells research
Prof. Dr. Vittorio Gebbia
Email: vittorio.gebbia@gmail.com
Affiliation: Chair of Medical Oncology, School of Medicine, University of Enna Kore, Enna, 94100, ITALY
Homepage:
Research Interests: medial oncology, hematology, lung cancer, chemotherapy
Summary
The rapid advancements in precision medicine have revolutionized cancer diagnosis and treatment, with biomarker discovery playing a pivotal role in personalized oncology. Identifying reliable biomarkers can enhance early detection, predict treatment response, and improve patient outcomes by tailoring therapies to individual genetic and molecular profiles.
This Special Issue aims to explore cutting-edge research on novel biomarkers for various cancer types, including genetic, epigenetic, proteomic, and metabolomic markers. We welcome original research and review articles focusing on biomarker identification, validation, and clinical application in precision oncology. Topics of interest include, but are not limited to:
- Novel diagnostic and prognostic biomarkers
- Biomarkers for predicting therapy response and resistance
- Integration of multi-omics data for biomarker discovery
- AI and machine learning approaches in biomarker research
Through this Special Issue, Oncology Research seeks to advance the development of biomarker-driven strategies that can transform cancer care. We invite researchers to contribute their latest findings to foster innovation in personalized oncology.
Keywords
Biomarkers, Personalized Oncology, Precision Medicine, Cancer Diagnosis, Therapy Response Prediction, Drug Resistance Mechanisms
Published Papers
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