Web of Science: 1 citas, Scopus: 2 citas, Google Scholar: citas
Conventional and digital Ki67 evaluation and their correlation with molecular prognosis and morphological parameters in luminal breast cancer
Pons, Laura (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Hernández-León, Laura (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Altaleb, Ahmad (Mubarak Al-Kabeer Hospital, Jabriya, Kuwait)
Ussene, Esperança (Hospital Vila Franca de Xira, Portugal)
Iglesias, Roman (Hospital Santa Bárbara (Puertollano, Ciutat Real))
Castillo, Ana (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Rodríguez-Martínez, Paula (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Castellà Fernández, Eva (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Quiroga, Vanesa (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Felip, Eudald (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Cirauqui, Beatriz (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Margelí, Mireia (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Fernández, Pedro Luis (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Universitat Autònoma de Barcelona

Fecha: 2022
Resumen: Digital counting methods were developed to decrease the high intra- and inter-observer variability of immunohistochemical markers such as Ki67, with most presenting a good correlation coefficient (CC). Since Ki67 is one of the major contributors to Oncotype DX, it is conceivable that Ki67 expression and the recurrence score (RS) obtained by the multigene panel are positively correlated. We decided first to test to what extent conventional and digital Ki67 quantification methods correlate in daily practice and, second, to determine which of these methods correlates better with the prognostic capacity of the Oncotype DX test. Both Ki67 evaluations were performed in 89 core biopsies with a diagnosis of estrogen receptor (ER) positive HER2-negative breast cancer (BC). Cases were, thus, classified twice for surrogate subtype: first by conventional analysis and then by digital evaluation. The Oncotype RS was obtained in 55 cases that were subsequently correlated to Ki67 evaluation by both methods. Conventional and digital Ki67 evaluation showed good concordance and correlation (CC = 0. 81 (95% CI 0. 73-0. 89)). The correlation of Oncotype DX risk groups and surrogate derived subtypes was slightly higher for the digital technique (r = 0. 46, p < 0. 01) compared to the conventional method (r = 0. 39, p < 0. 01), even though both were statistically significant. In conclusion, we show that digital evaluation could be an alternative to conventional counting, and also has advantages for predicting the risk established by the Oncotype DX test in ER-positive BC. This study also supports the importance of an accurate Ki67 analysis which can influence the decision to submit ER-positive HER2-negative BC to prognostic molecular platforms.
Ayudas: Instituto de Salud Carlos III PI19/01371
Derechos: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Lengua: Anglès
Documento: Article ; recerca ; Versió publicada
Publicado en: Scientific reports, Vol. 12 (may 2022) , ISSN 2045-2322

DOI: 10.1038/s41598-022-11411-5
PMID: 35581229


9 p, 1.1 MB

El registro aparece en las colecciones:
Documentos de investigación > Documentos de los grupos de investigación de la UAB > Centros y grupos de investigación (producción científica) > Ciencias de la salud y biociencias > Institut d'Investigació en Ciencies de la Salut Germans Trias i Pujol (IGTP)
Artículos > Artículos de investigación
Artículos > Artículos publicados

 Registro creado el 2023-09-28, última modificación el 2024-05-21



   Favorit i Compartir