Large nuclear size correlated with better overall survival, Merkel cell polyomavirus positivity, and terminal deoxynucleotidyl transferase expression in Merkel cell carcinoma
Authors:
- Jakob M.T. Moran,
- Przemysław Biecek,
- Piotr Donizy,
- Cheng-Lin Wu,
- Janusz Kopczynski,
- Malgorzata Pieniazek,
- Janusz Ryś,
- Mai P. Hoang
Abstract
Computational method would provide an objective and reproducible measurement of the tumor cells. Nuclear features extracted from digital images of tissue microarray sections from 134 Merkel cell carcinomas (MCC), conventional histologic and clinical features, stage, Merkel cell polyomavirus (MCPyV) status (determined by CM2B4 immunostain) and TdT expression were correlated with patient outcome. The median number of evaluated nuclei for each tumor was 35,036 (range: 1817-94,401). The optimal cut-off median nuclear area, minimum and maximum nuclear distance were 30 µm2 (range: 22.53-38.22 µm2), 5.32 µm (range: 4.48-6.15 µm), and 8.2 µm (range: 6.90-8.65 µm), respectively. By box plots, large nuclear features significantly correlated with MCPyV positivity and TdT expression. By univariate Cox proportional hazard models and Kaplan-Meier curves, older age (p=0.00055), higher American Joint Commission Committee (AJCC) stage (stages III and IV) at presentation (p = 0.0066) and ulceration (p=0.0051), correlated with poorer overall survival. Larger nuclear features [nuclear area (p=0.0017), minimum (p=0.0057) and maximum (p=0.048) nuclear distance], MCPyV positivity (p= 0.0061) and high TdT expression (p= 0.0019) correlated with improved overall survival. In multivariate analyses smaller nuclear area (p=0.012), older age (p= 0.0017), higher stage (p= 0.032) and low TdT expression (p = 0.045) remained independent predictors of worse overall survival. In summary, large nuclear size correlated with better overall survival, MCPyV-positivity and TdT expression in MCC. Measurement of nuclear features by a computational method shows promise as an accurate and consistent tool for prognostication. Additional studies utilizing machine learning would be needed to validate this method for clinical practice.
- Record ID
- WUT4f21f48884b043fe86f7ef84cc6d291f
- Author
- Journal series
- Journal of the American Academy of Dermatology, ISSN 0190-9622, e-ISSN 1097-6787
- Issue year
- 2021
- Vol
- 84
- No
- 2
- Pages
- 550-552
- Publication size in sheets
- 0.30
- Keywords in Polish
- nowotwory, analiza danych
- Keywords in English
- oncology, predictive models
- ASJC Classification
- Abstract in Polish
- Analiza potencjału predykcyjnego właściwości topologicznych komórek.
- DOI
- DOI:10.1016/j.jaad.2020.05.125 Opening in a new tab
- URL
- https://www.sciencedirect.com/science/article/pii/S019096222031001X?via%3Dihub Opening in a new tab
- Language
- (en) English
- License
- File
-
- File: 1
- Large nuclear size correlated with better overall survival, Merkel cell polyomavirus positivity, and terminal deoxynucleotidyl transferase expression in Merkel cell carcinoma, File WUT4f21f48884b043fe86f7ef84cc6d291f.pdf / 822 KB
- WUT4f21f48884b043fe86f7ef84cc6d291f.pdf
- publication date: 31-03-2022
- Large nuclear size correlated with better overall survival, Merkel cell polyomavirus positivity, and terminal deoxynucleotidyl transferase expression in Merkel cell carcinoma, File WUT4f21f48884b043fe86f7ef84cc6d291f.pdf / 822 KB
-
- Score (nominal)
- 140
- Score source
- journalList
- Score
- = 140.0, 24-05-2022, ArticleFromJournal
- Publication indicators
- = 4; = 3; : 2018 = 1.758; : 2020 (2 years) = 11.527 - 2020 (5 years) =10.238
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- Uniform Resource Identifier
- https://repo.pw.edu.pl/info/article/WUT4f21f48884b043fe86f7ef84cc6d291f/
- URN
urn:pw-repo:WUT4f21f48884b043fe86f7ef84cc6d291f
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.