New Advances in Cancer Genomics
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Biology".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 160
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue will focus on recent advances in cancer genomics, covering a wide range of topics such as genomic and structural variations, biomarker discovery, and novel methodologies for understanding cancer biology. With the rapid development of emerging technologies, we also welcome studies that explore computational approaches, artificial intelligence, and their potential to enhance the interpretation of complex genomic data. These technologies hold promise for improving patient outcomes and accelerating precision oncology.
Contributions addressing the integration of genomics into clinical practice, highlighting translational research, or proposing innovative solutions to current challenges in cancer genomics are particularly encouraged. Furthermore, we are interested in research targeting "undruggable" oncogenes, such as KRAS, focusing on drug discovery and development strategies that overcome previous limitations. Studies exploring novel therapeutic approaches and molecular mechanisms to address these challenging targets are highly welcomed.
This Special Issue aims to provide a platform for cutting-edge and multidisciplinary research that pushes the boundaries of cancer genomics and fosters collaboration across different scientific domains.
Topics of interest include, but are not limited to:
- Genomic and structural variations in cancer
- Biomarker discovery for precision oncology
- The integration of multi-omics data with AI for personalized cancer care
- AI-driven diagnostics and treatment planning in oncology
- Drug discovery for undruggable targets, including KRAS
Dr. Yoshihito Kano
Guest Editor
Manuscript Submission Information
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Keywords
- cancer genomics
- biomarker discovery
- precision oncology
- KRAS and undruggable targets
- artificial intelligence in oncology
- multi-omics data integration
- drug discovery
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