Tumor Markers and Tumor Microenvironment
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: 20 April 2026 | Viewed by 34
Special Issue Editor
Special Issue Information
Dear Colleagues,
Our aging population on the Earth has two leading mortality causes: cardiovascular and malignant diseases. Due to the tremendous progress achieved in medicines, the survival time of patients suffering from various neoplastic diseases is continuously increasing. Despite this, for good disease control, we still need good tumor markers, therapeutic targets and better understanding of the tumors’ micro- and macro-environment.
Nowadays, the revolution in data and molecular sciences, as well as in digital pathology and artificial intelligence, has the capacity to revolutionize our approach to malignant diseases, potentially offering better screening, diagnostic, prognostication and targeting therapy. The aim of our Special Issue is to collect many studies investigating new molecular, genetic, prognostic, tumor environment and tumor marker data in defining the best and individualized diagnosis and treatment for malignant diseases.
Topics of this Special Issue include, but are not limited to, the following:
- Tumor microenvironment and macroenvironment
- Cancer biomarkers: screening, diagnosis, prognosis
- Cancer therapy: target discovery, drug design, resistance, targeted therapy, theranostics, personalized medicine
- Translational cancer research
- High-throughput technologies: genomics, epigenomics, proteomics, metabolomics, microarray, next generation sequencing, and other omics technologies involved in developing diagnosis and therapy
- Genomic and proteomic databases and applications
- Digital pathological approach to develop diagnosis, prognostication and treatment
- Exploitations of artificial intelligence in diagnosis, prognostication and personalized therapy
Dr. Tamás Micsik
Guest Editor
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Keywords
- tumor markers
- tumor environment
- molecular and genetics
- omics
- artificial intelligence
- digital pathology
- computational pathology
- individualized therapy
- prognostication
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