Molecular Aspects of Adrenal Diseases and Carcinoma
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 2025 | Viewed by 9484
Special Issue Editor
Special Issue Information
Dear Colleagues,
The adrenal gland is a rather hidden organ; thus, any pathological process developing in it can provoke wide differential diagnostic issues, as benign and malignant diseases can also affect the organ. After the exclusion of benign diseases and metastases, the malignant counterpart, adrenocortical cancer, is a very difficult diagnosis as not only the criteria of malignancy but also the prognostic factors and thus the behavior of the disease are hardly predictable. There are multiple risk-stratifications of both malignancy and progression; still, these are far for perfect and thus may be subject to considerable debate when defining therapeutic plans.
Nowadays, the revolution in data and molecular sciences as well as in digital pathology and artificial intelligence has the capacity to rephrase the approach to adrenal disease and neoplasia, potentially offering better screening, diagnosis, prognostication and tailored therapy. The aim of our Special Issue is to collect as much new molecular, genetic, prognostic, micro and macroenvironmental data in defining the best and individualized diagnosis and treatment for adrenal disease and neoplasia.
Topics of this Special Issue include, but are not limited to:
- Tumor microenvironment and macroenvironment;
- Cancer biomarkers: screening, diagnosis, prognosis;
- Adrenal disease and cancer therapy: target discovery, drug design, resistance, targeted therapy, theragnostic, 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;
- The exploitation of artificial intelligence in diagnosis, prognostication and personalized therapy.
Dr. Tamás Micsík
Guest Editor
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Keywords
- adrenal neoplasia
- adrenocortical cancer
- molecular and genetics
- omics
- artificial intelligence digital pathology
- individualized therapy
- prognostication
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