Ciliation Index Is a Useful Diagnostic Tool in Challenging Spitzoid Melanocytic Neoplasms.


Journal

The Journal of investigative dermatology
ISSN: 1523-1747
Titre abrégé: J Invest Dermatol
Pays: United States
ID NLM: 0426720

Informations de publication

Date de publication:
07 2020
Historique:
received: 11 07 2019
revised: 08 11 2019
accepted: 27 11 2019
pubmed: 25 1 2020
medline: 3 3 2021
entrez: 25 1 2020
Statut: ppublish

Résumé

The loss of primary cilia on melanocytes is a useful biomarker for the distinction of melanoma from conventional melanocytic nevi. It is unknown whether ciliation status is beneficial for diagnosing spitzoid tumors-a subclass of melanomas that present inherently ambiguous histology and are challenging to classify. We evaluated the Ciliation Index (CI) in 68 cases of spitzoid tumors ranging from Spitz nevi and atypical Spitz tumors to spitzoid melanoma. We found a significant decrease in CI within the spitzoid melanoma group when compared with either the Spitz nevi or atypical Spitz tumors groups. In addition, we used a machine-learning-based algorithm to determine the value of CI when considered in combination with other histopathologic and molecular features commonly used for diagnosis. We found that a low CI was consistently ranked as a top predictive feature in the diagnosis of malignancy. Predictive models trained on only the top four predictive features (CI, asymmetry, hyperchromatism, and cytologic atypia) outperformed standard histologic assessment in an independent validation cohort of 56 additional cases. The results provide an alternative approach to evaluate diagnostically challenging melanocytic lesions, and further support the use of CI as an ancillary diagnostic test.

Identifiants

pubmed: 31978411
pii: S0022-202X(20)30038-5
doi: 10.1016/j.jid.2019.11.028
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1401-1409.e2

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Ursula E Lang (UE)

Department of Pathology, Dermatopathology Service, University of California, San Francisco, CA, USA; Department of Dermatology, University of California, San Francisco, CA, USA. Electronic address: Ursula.lang@ucsf.edu.

Rodrigo Torres (R)

Department of Dermatology, University of California, San Francisco, CA, USA.

Christine Cheung (C)

Department of Pathology, Stanford University Medical Center, Stanford, CA, USA.

Eszter K Vladar (EK)

Department of Pathology, Stanford University Medical Center, Stanford, CA, USA; Department of Medicine, Division of Pulmonary Sciences and Critical Care Medicine, Aurora, CO, USA; Department of Cell and Developmental Biology, University of Colorado School of Medicine, Aurora, CO, USA.

Timothy H McCalmont (TH)

Department of Pathology, Dermatopathology Service, University of California, San Francisco, CA, USA; Department of Dermatology, University of California, San Francisco, CA, USA.

Jinah Kim (J)

Department of Pathology, Stanford University Medical Center, Stanford, CA, USA; Palo Alto Medical Foundation, Division of Dermatopathology, Palo Alto, CA, USA.

Robert L Judson-Torres (RL)

Department of Dermatology, University of California, San Francisco, CA, USA; Department of Dermatology, University of Utah School of Medicine, Salt Lake City, UT, USA; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH