Multi-Omics Analysis in the Study of Carcinogenesis
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Pathophysiology".
Deadline for manuscript submissions: 15 September 2025 | Viewed by 1148
Special Issue Editor
Interests: obesity; cytokine; diabetes; breast cancer; steroid
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Multi-omics analyses have been established as powerful tools in investigating carcinogenesis, offering a broad view of the molecular mechanisms underlying cancer initiation and progression. The importance of integrating data obtained from multi-omics analyses with data derived from single-omics methods has been widely acknowledged. Correlating datasets from genomics, transcriptomics, proteomics, and metabolomics with clinical practice observations has proven to be a powerful approach to distinguishing different subtypes of patients within a population, as well as in the search for novel drug targets. In addition, the use of machine and deep learning in multi-omics data analyses is promising for the future development of oncology research.
This Special Issue welcomes the submission of a broad range of research and review manuscripts investigating the implications of multi-omics analysis in oncology research. We believe that such a group of articles will benefit basic science and clinical research scientists by providing a valuable summary of knowledge from various disciplines.
Dr. Dimiter Avtanski
Guest Editor
Manuscript Submission Information
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Keywords
- carcinogenesis
- cancer initiation and progression
- oncology research
- multi-omics analyses
- genomics
- transcriptomics, proteomics
- metabolomics
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