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Renal Tumors of Childhood-A Histopathologic Pattern-Based Diagnostic Approach
- Source :
- Cancers, Cancers, MDPI, 2020, 12 (3), pp.729. ⟨10.3390/cancers12030729⟩, Cancers, Vol 12, Iss 3, p 729 (2020)
- Publication Year :
- 2020
- Publisher :
- HAL CCSD, 2020.
-
Abstract
- International audience; Renal tumors comprise approximately 7% of all malignant pediatric tumors. This is a highly heterogeneous group of tumors, each with its own therapeutic management, outcome, and association with germline predispositions. Histopathology is the key in establishing the correct diagnosis, and therefore pathologists with expertise in pediatric oncology are needed for dealing with these rare tumors. While each tumor shows different histologic features, they do have considerable overlap in cell type and histologic pattern, making the diagnosis difficult to establish, if based on routine histology alone. To this end, ancillary techniques, such as immunohistochemistry and molecular analysis, can be of great importance for the correct diagnosis, resulting in appropriate treatment. To use ancillary techniques cost-effectively, we propose a pattern-based approach and provide recommendations to aid in deciding which panel of antibodies, supplemented by molecular characterization of a subset of genes, are required.
- Subjects :
- 0301 basic medicine
Cancer Research
medicine.medical_specialty
renal tumors
[SDV.CAN]Life Sciences [q-bio]/Cancer
Review
lcsh:RC254-282
[SDV.MHEP.UN]Life Sciences [q-bio]/Human health and pathology/Urology and Nephrology
03 medical and health sciences
0302 clinical medicine
medicine
Pediatric oncology
molecular analysis
[SDV.MHEP.PED]Life Sciences [q-bio]/Human health and pathology/Pediatrics
Heterogeneous group
business.industry
Histology
lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
3. Good health
Molecular analysis
030104 developmental biology
pediatric
030220 oncology & carcinogenesis
oncology
immunohistochemistry
Immunohistochemistry
Histopathology
Radiology
business
Subjects
Details
- Language :
- English
- ISSN :
- 20726694
- Database :
- OpenAIRE
- Journal :
- Cancers, Cancers, MDPI, 2020, 12 (3), pp.729. ⟨10.3390/cancers12030729⟩, Cancers, Vol 12, Iss 3, p 729 (2020)
- Accession number :
- edsair.doi.dedup.....5ef189cba97dce2e95a6accef90cb2e8
- Full Text :
- https://doi.org/10.3390/cancers12030729⟩