Identifying Functional Genomics and Pathways in Cancer Pathogenesis and Therapy Resistance
A special issue of Cells (ISSN 2073-4409). This special issue belongs to the section "Cellular Pathology".
Deadline for manuscript submissions: 25 September 2025 | Viewed by 63
Special Issue Editors
Interests: bioinformatics; cancer immunotherapy; RNA biology; alternative splicing; multi-omics integration; proteogenomics
Interests: computational biology; bioinformatics; network and systems biology; machine learning; non-coding RNA
Special Issue Information
Dear Colleagues,
Understanding cancer pathogenesis and resistance to therapy mechanisms remains a significant challenge in oncology because many underlying mechanisms are unidentified and uninvestigated. These mechanisms often arise from genomic, epigenetic, or transcriptomic dysregulations, among many other alterations, which disrupt critical cellular processes such as cell cycle regulation, signal transduction, DNA repair, and apoptosis. This Special Issue invites original research articles, reviews, and communications from investigators in the field of cancer to advance our understanding of functional genomics and pathways in cancer pathogenesis and therapy resistance. Potential topics include but are not limited to the following:
- Machine learning, integrative bioinformatics or systems biology approaches, and computational methods to address the highlighted areas mentioned above.
- Meta-analysis for identifying high-confidence genes and non-coding RNAs critical to cancer pathogenesis or therapy resistance.
- Analysis of combined multi-omics data, including but not limited to mutation, copy number, RNA and protein expression, and DNA methylation to identify risk pathways and pathway crosstalk.
- Pharmacogenomics.
- The tumor microenvironment.
- Tumor-associated regulatory mechanisms contributing to drug resistance.
Dr. Yang Xu
Dr. Ramkrishna Mitra
Guest Editors
Manuscript Submission Information
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Keywords
- functional genomics
- cancer signaling pathways
- targeted therapy
- drug resistance
- tumor microenvironment
- oncogenomics
- acquired resistance
- tumor mutations
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