Biomarkers of Tumor Progression, Prognosis and Therapy: 2nd Edition
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Oncology".
Deadline for manuscript submissions: 31 July 2024 | Viewed by 567
Special Issue Editor
Interests: biomarkers of tumor development; progression and prognosis; targeted cancer therapy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Though cancer development and progression involve the aberrations of complex cellular pathways at the genetic and epigenetic levels, detection of a set of selected biomarkers may have prognostic relevance and/or may offer targets for tumor therapy. These biomarkers can be either directly related to cancer evolution, such as tumor driver/oncogenes and their protein products, or can reflect e.g., protective responses of cancer to hypoxia or the body’s defense mechanisms against carcinogenesis, or reveal impaired cell-death mechanisms. Biomarkers can be discovered at different levels including DNA, the transcribed mRNA, and its epigenetic regulators, miRNAs, as well as the translated proteins which may deregulate essential cell functions and lead to cancer and its aggressive progression. Besides functional testing, advanced molecular methods can be used and combined for identifying cancer biomarkers including next generation sequencing (NGS), in situ hybridization, immunological methods, and proteomics. Research data can be supported by the in silico analysis of biomarker databases and machine-learning- and artificial-intelligence-based automated image analysis of in situ-detected molecules.
This Special Issue “Biomarkers of Tumor Progression, Prognosis and Therapy 2.0” of the International Journal of Molecular Sciences aims to introduce novel biomarkers and review established ones which may have important impacts on tumor fate by using and combining up-to-date in silico, in vitro, and in situ molecular methods in a range of cancer types.
Prof. Dr. Tibor Krenacs
Guest Editor
Manuscript Submission Information
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Keywords
- cancer biomarkers
- genetic aberrations
- carcinogenesis
- cancer progression
- molecular methods
- in silico data analysis
- image analysis
- proteomics
