Identifying the Best Ki-67 Cut-Off for Determining Luminal Breast Cancer Subtypes Using Immunohistochemical Analysis and PAM50 Genomic Classification

Author:

Escala-Cornejo Roberto1,Olivares-Hernández Alejandro2,García Muñoz María2,Figuero-Pérez Luis2,Vallejo Javier Martín3,Miramontes-González José Pablo4,Sancho de Salas Magdalena5,Gómez Muñoz María Asunción5,Tamayo Raquel Seijas2,García Germán Martín2,Sánchez Emilio Fonseca2,Rodríguez-Sánchez César2

Affiliation:

1. Sociedad de Lucha Contra el Cáncer, Guayaquil, Ecuador

2. Department of Medical Oncology, University Hospital of Salamanca, Spain

3. Department of Statistics, University of Salamanca, Spain

4. Department of Internal Medicine, University Hospital Río Hortega, Valladolid, Spain

5. Department of Pathology, University Hospital of Salamanca, Spain

Abstract

Background: A surrogate classification of breast cancer (BC) molecular subtypes based on immunohistochemistry (IHC) was established at the 13th St. Gallen International Breast Cancer Consensus (SG-BCC). The most controversial point of discussion was the difference between the luminal A and B subtypes. The Ki-67 cut-off that has been used to differentiate these BC subtypes is 14%; however, this cut-off was questioned. This study aimed to identifying the best Ki67 cut-off for determining the luminal BC by PAM50/Prosigna (NanoString Technologies, Seattle, Washington, USA). Methods: This study included females who were diagnosed with early-stage luminal BC between 2015–2020, and whose samples were subjected to genomic testing using PAM50. Results: A total of 143 samples were analysed. At the Ki-67 cut-off values of >14%; a correlation of 70.6%, with a sensitivity of 79.1% and a specificity of 55.8%; and a positive predictive value of 75.8% and negative predictive value of 60.4% were observed. When the Ki-67 cut-off was increased to >20%, the percentage of well-classified tumours based on IHC was 76.2%, increasing the agreement by 6.2%. The sensitivity was 93.4%, but the specificity was 46.1%. The positive predictive value was 75.2% while the negative predictive value was 80%, suggesting that IHC has a high probability of diagnosing luminal A and B. Conclusions: Increasing the Ki-67 cut-off to >20% leads to a better surrogate classification based on IHC and to a higher sensitivity in classifying the luminal subtypes. The authors propose that the cut-off for Ki-67, which is an independent factor, should be globally modified to >20%.

Publisher

European Medical Group

Subject

General Medicine

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