PMID- 27102343
OWN - NLM
STAT- MEDLINE
DCOM- 20180112
LR  - 20230210
IS  - 1530-0285 (Electronic)
IS  - 0893-3952 (Linking)
VI  - 29
IP  - 7
DP  - 2016 Jul
TI  - A diagnostic algorithm for atypical spitzoid tumors: guidelines for 
      immunohistochemical and molecular assessment.
PG  - 656-70
LID - 10.1038/modpathol.2016.70 [doi]
AB  - Atypical spitzoid tumors are a morphologically diverse group of rare melanocytic 
      lesions most frequently seen in children and young adults. As atypical spitzoid 
      tumors bear striking resemblance to Spitz nevus and spitzoid melanomas clinically 
      and histopathologically, it is crucial to determine its malignant potential and 
      predict its clinical behavior. To date, many researchers have attempted to 
      differentiate atypical spitzoid tumors from unequivocal melanomas based on 
      morphological, immonohistochemical, and molecular diagnostic differences. A 
      diagnostic algorithm is proposed here to assess the malignant potential of 
      atypical spitzoid tumors by using a combination of immunohistochemical and 
      cytogenetic/molecular tests. Together with classical morphological evaluation, 
      this algorithm includes a set of immunohistochemistry assays (p16(Ink4a), a 
      dual-color Ki67/MART-1, and HMB45), fluorescence in situ hybridization (FISH) 
      with five probes (6p25, 8q24, 11q13, CEN9, and 9p21), and an array-based 
      comparative genomic hybridization. This review discusses details of the 
      algorithm, the rationale of each test used in the algorithm, and utility of this 
      algorithm in routine dermatopathology practice. This algorithmic approach will 
      provide a comprehensive diagnostic tool that complements conventional 
      histological criteria and will significantly contribute to improve the diagnosis 
      and prediction of the clinical behavior of atypical spitzoid tumors.
FAU - Cho-Vega, Jeong Hee
AU  - Cho-Vega JH
AD  - Department of Pathology, Dermatopathology, University of Miami Miller School of 
      Medicine, Miami, FL, USA.
LA  - eng
PT  - Journal Article
PT  - Review
DEP - 20160422
PL  - United States
TA  - Mod Pathol
JT  - Modern pathology : an official journal of the United States and Canadian Academy 
      of Pathology, Inc
JID - 8806605
RN  - 0 (Biomarkers, Tumor)
SB  - IM
MH  - Algorithms
MH  - Biomarkers, Tumor/metabolism
MH  - Diagnosis, Differential
MH  - Humans
MH  - Immunohistochemistry
MH  - In Situ Hybridization, Fluorescence
MH  - Melanocytes/metabolism/*pathology
MH  - Melanoma/*diagnosis/metabolism/pathology
MH  - Nevus, Epithelioid and Spindle Cell/*diagnosis/metabolism/pathology
MH  - Skin Neoplasms/*diagnosis/metabolism/pathology
EDAT- 2016/04/23 06:00
MHDA- 2018/01/13 06:00
CRDT- 2016/04/23 06:00
PHST- 2015/11/08 00:00 [received]
PHST- 2016/02/28 00:00 [revised]
PHST- 2016/03/06 00:00 [accepted]
PHST- 2016/04/23 06:00 [entrez]
PHST- 2016/04/23 06:00 [pubmed]
PHST- 2018/01/13 06:00 [medline]
AID - S0893-3952(22)02134-2 [pii]
AID - 10.1038/modpathol.2016.70 [doi]
PST - ppublish
SO  - Mod Pathol. 2016 Jul;29(7):656-70. doi: 10.1038/modpathol.2016.70. Epub 2016 Apr 
      22.