Abstract
Mantle cell lymphoma (MCL) has a heterogeneous clinical course and is mainly an aggressive B cell non-Hodgkin lymphoma; however, there are some indolent cases The Ki-67 index, defined by the percentage of Ki-67-positive lymphoma cells on histo-pathological slides, has been shown to be a very powerful prognostic biomarker. The pathology panel of the European MCL Network evaluated methods to assess the Ki-67 index including stringent counting, digital image analysis, and estimation by eyeballing. Counting of 2×500 lymphoma cells is the gold standard to assess the Ki-67 index since this value has been shown to predict survival in prospective randomized trials of the European MCL Network. Estimation by eyeballing and digital image analysis showed a poor concordance with the gold standard (concordance correlation coefficients [CCC] between 0.29 and 0.61 for eyeballing and CCC of 0.24 and 0.37 for two methods of digital image analysis, respectively). Counting a reduced number of lymphoma cells (2×100 cells) showed high interobserver agreement (CCC=0.74). Pitfalls of the Ki-67 index are discussed and guidelines and recommendations for assessing the Ki-67 index in MCL are given.
| Originalsprache | Englisch |
|---|---|
| Zeitschrift | Journal of Hematopathology |
| Jahrgang | 2 |
| Ausgabenummer | 2 |
| Seiten (von - bis) | 103-111 |
| Seitenumfang | 9 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 01.12.2009 |
Fördermittel
Acknowledgements This work was supported by the European Mantle Cell Lymphoma Network (No. LSHC-CT-2004-503351) and the Lymphoma Research Fund. The authors would like to thank Kay Dege for editing the manuscript and Erika Berg for the excellent technical assistance for help with the double stainings.
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
-
SDG 3 – Gesundheit und Wohlergehen
Fingerprint
Untersuchen Sie die Forschungsthemen von „Ki-67 as a prognostic marker in mantle cell lymphoma-consensus guidelines of the pathology panel of the European MCL network“. Zusammen bilden sie einen einzigartigen Fingerprint.Zitieren
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver