Please use this identifier to cite or link to this item: doi:10.22028/D291-30560
Title: Renal Tumors of Childhood—A Histopathologic Pattern-Based Diagnostic Approach
Author(s): Ooms, Ariadne H.A.G.
Vujanić, Gordan M.
D’Hooghe, Ellen
Collini, Paola
L’Herminé-Coulomb, Aurore
Vokuhl, Christian
Graf, Norbert
van den Heuvel-Eibrink, Marry M.
de Krijger, Ronald R.
Language: English
Title: Cancers
Volume: 12
Issue: 3
Publisher/Platform: MDPI
Year of Publication: 2020
Free key words: pediatric
oncology
renal tumors
immunohistochemistry
molecular analysis
DDC notations: 600 Technology
Publikation type: Journal Article
Abstract: 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.
DOI of the first publication: 10.3390/cancers12030729
Link to this record: urn:nbn:de:bsz:291--ds-305609
hdl:20.500.11880/30207
http://dx.doi.org/10.22028/D291-30560
ISSN: 2072-6694
Date of registration: 15-Dec-2020
Description of the related object: Supplementary Materials
Related object: http://www.mdpi.com/2072-6694/12/3/729/s1
Faculty: M - Medizinische Fakultät
Department: M - Pädiatrie
Professorship: M - Prof. Dr. Norbert Graf
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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