RESUMO
On page 5 of the article, in the last paragraph of the section "Prognostic genetic platforms: molecular phenotypes and translation to the clinic" a relevant discrepancy between the text and Table 1 could be misunderstood, therefore the paragraph was corrected.
RESUMO
This consensus statement revises and updates the recommendations for biomarkers use in the diagnosis and treatment of breast cancer, and is a joint initiative of the Spanish Society of Medical Oncology and the Spanish Society of Pathology. This expert group recommends determining in all cases of breast cancer the histologic grade and the alpha-estrogen receptor (ER), progesterone receptor, Ki-67 and HER2 status, in order to assist prognosis and establish therapeutic options, including hormone therapy, chemotherapy and anti-HER2 therapy. One of the four available genetic prognostic platforms (MammaPrint®, Oncotype DX®, Prosigna® or EndoPredict®) may be used in node-negative ER-positive patients to establish a prognostic category and decide with the patient whether adjuvant treatment may be limited to hormonal therapy. Newer technologies including next-generation sequencing, liquid biopsy, tumour-infiltrating lymphocytes or PD-1 determination are at this point investigational.
Assuntos
Biomarcadores Tumorais/genética , Neoplasias da Mama/diagnóstico , Tomada de Decisões , Guias de Prática Clínica como Assunto/normas , Neoplasias da Mama/genética , Feminino , Perfilação da Expressão Gênica , Humanos , Sociedades Médicas , EspanhaRESUMO
PURPOSE: To evaluate the utility of Ki67 as a prognostic marker in Luminal B node-negative breast cancer patients. METHODS: We identified 888 patients with invasive breast carcinomas who underwent surgery between 1997 and 2004. Several classical factors were collected: age, tumor size, node involvement, tumor grade, estrogen and progesterone receptors, HER2 and Ki-67 expression. We analyzed if these parameters could be considered as a prognostic factor. In early Luminal B group, we investigated which of the following biological features provide information about bad prognosis: lack of progesterone receptor expression, HER2 overexpression/amplification or high Ki-67 value. RESULTS: The majority of patients were alive and without relapse of tumor at the moment of the analysis (70 %). The prognostic factors founded in multivariate analysis were: tumor size, node involvement, grade 3 and Ki-67 expression. When we stratified the sample by immunohistochemistry (IHC) in tumor subtypes, we assessed 680 patients and we observed 191 Luminal B tumors. The biological parameter related to the worst survival in absence of nodal involvement was Ki-67 value. CONCLUSIONS: Ki-67 represents an additional predictor of survival in Luminal B node negative breast cancer. Conversely, neither Progesterone-receptor nor HER2 status proved prognostic significance in this group in our study.