Modelo predictivo de metástasis en ganglios axilares no centinela en cáncer de mama. Variables emergentes. Estudio MOTTO, parte I / Predictive model of breast cancer metastasis in axillary non-sentinel lymph nodes. Emergent variables. The MOTTO study, part I

INTRODUCCIÓN: La carga tumoral total (CTT) obtenida del estudio OSNA de cada uno de los ganglios centinela ha sido identificada como el predictor más potente de metástasis en ganglios linfáticos axilares no centinela. Por otra parte, los distintos subtipos moleculares (SM) de cáncer de mama difieren entre ellos de forma significativa no solo en términos de incidencia, pronóstico y tratamiento, sino también respecto al patrón de afectación metastásica axilar. Nuestra hipótesis consiste en que la predicción de enfermedad metastásica en la linfadenectomía axilar puede mejorar aplicando un modelo predictivo basado en la CTT y el subtipo intrínseco del tumor. OBJETIVO: Evaluar el impacto del SM subrogado inmunohistoquímicamente en la predicción metastásica de los ganglios axilares no centinela con base en la CTT. MATERIAL Y MÉTODOS: Estudio retrospectivo, multicéntrico europeo, que incluye 683 pacientes procedentes de 9 hospitales. RESULTADOS: El análisis univariante identificó 6 variables independientes que correlacionan significativamente con la afectación metastásica axilar no centinela. De ellas, las variables valor logarítmico de la CTT, diámetro tumoral y SM diagnosticado por inmunohistoquímica fueron seleccionadas para el modelo multivariante. Las odds ratio estimadas por el modelo fueron valor logarítmico de la CTT 1.527 (IC 95% 1.299-1.796), diámetro tumoral 1.503 (IC 95% 1.062-2.129) y SM 2.195 (IC 95% 1.246-3.867). CONCLUSIONES: El SM, la CTT y el diámetro tumoral son los predictores más potentes de afectación axilar y deben ser incluidos en los algoritmos diagnósticos como variables esenciales para la toma de decisiones terapéuticas sobre la axila

INTRODUCTION: The total tumour load (TTL) obtained from OSNA study in each of the sentinel lymph nodes has been identified as the most powerful predictor of axillary non-sentinel lymph node metastasis. In addition, the distinct molecular subtypes (MS) of breast cancer differ significantly not only in terms of incidence, prognosis and treatment but also in terms of the pattern of axillary metastatic involvement. We hypothesised that the prediction of metastatic disease in axillary lymphadenectomy could be enhanced by applying a predictive model based on the TTL and the intrinsic tumour subtype. OBJECTIVE: To evaluate the impact of the MS identified by immunohistochemistry on prediction of metastatic disease in axillary non-sentinel lymph nodes based on TTL. MATERIAL AND METHODS: Retrospective, European multicenter study including 683 patients from 9 hospitals. RESULTS: Univariate analysis identified 6 variables that were significantly correlated with axillary non-sentinel metastasis. Of these, the variables logarithmic value of the TTL, tumour diameter and MS diagnosed by immunohistochemistry were selected for multivariate analysis. The odds ratio estimated by the model were: logarithmic value of the TTL 1.527 (95% CI: 1.299-1.796), tumour diameter 1.503 (95% CI: 1.062-2.129) and MS 2.195 (95% CI: 1.246-3.867). CONCLUSIONS: The strongest predictors of axillary involvement were MS, TTL and tumour diameter. These variables should be included in diagnostic algorithms as essential parameters for therapeutic decision-making on the axilla

mRNA in situ hybridization (HistoSonda): a new diagnostic tool for HER2-status in breast cancer-a multicentric Spanish study.

Monoclonal therapies could represent baseline-personalized medicine for patients with neoplasia. One of the most successful examples is Trastuzumab, a humanized antibody against epidermal growth factor receptor 2. Human epidermal growth factor receptor 2 (HER2) is a trans-membrane tyrosine kinase coded by the gene HER2/neu and overexpressed in approximately 12% to 20% of infiltrating breast carcinomas. The overexpression of HER2 is an independent adverse prognostic factor in relation to survival and is also predictive of response to treatment. Therefore, the correct evaluation of HER2 status is essential for the management of infiltrating breast carcinoma to determine the response to Trastuzumab. The most common evaluation technique is immunohistochemistry, which is confirmed by fluorescent or chromogenic monochrome or dual-gene in situ hybridization in ambiguous cases (immunohistochemical 2+). Our objective was to evaluate the diagnostic value of a new technique on the basis of HER2 mRNA in situ hybridization (HistoSonda) and study its correlation with immunohistochemistry and dual-chromogenic in situ hybridization (DUO-CISH) in 403 cases of infiltrating breast carcinoma. The percentage of DUO-CISH amplification was 25.8%, HistoSonda positivity was 31.2%, and positivity for Hercep-Test was 48.1%, including (+2) and (+3). Comparisons were made of each of the techniques, HistoSonda to IHQ and HistoSonda to DUO-CISH. The overall concordance between DUO-CISH and HistoSonda was 89%. Our data support the consistency of HistoSonda as a useful tool to determine HER2 status in breast cancer.