Dados do Trabalho

Título

ASSOCIAÇAO DOS VALORES DE KI-67 COM FATORES PROGNOSTICOS NO CANCER DE MAMA

Título em Inglês

ASSOCIATION OF KI-67 VALUES AND PROGNOSTIC FACTORS IN BREAST CANCER

Introdução

This study observed the relation of ki-67 values with prognostic factors and sought which cutoff points would be the best predictors for tumor staging.

Objetivos

Find which cut-off points for ki-67 would be the best predictors of tumor staging in breast cancer.

Métodos

The medical records patients diagnosed with breast cancer from the Instituto Sul Paranaense de Oncologia (Ponta Grossa – PR) during the period from 2016 to 2017 were analyzed and then statistical tests were performed to evaluate the relationship between ki-67 and prognostic factors in order to find the cutoff point with better sensitivity and specificity in the characterization of tumor staging.

Resultados

The highest values of ki-67 were found in younger patients and histological grade III tumors. The 30% ki-67 cutoff point obtained 64.06% sensitivity and 62.67% specificity in differentiating tumors with lymph node metastasis (N +) or without lymph node metastasis (N0). The cutoff point of 40% obtained sensitivity of 74.3% and specificity of 70% in the prediction of early or advanced tumors. Ki-67 values were positively associated with prognostic factors such as histological grade, molecular profile, age, tumor size and lymph node involvement.

Conclusões

The level of Ki-67 positivity is directly correlated with prognostic factors in breast cancer. Rates above 30% demonstrated a high correlation with lymph node involvement. The lack of studies in the literature that used the same methodology to calculate the sensitivity of ki-67 cutoff points in the prediction of lymph node metastasis was a differential in this study, which may bring new perspectives for the use of this marker in the clinical and therapeutic orientation of breast cancer, needing new studies with larger sampling to confirm the results found.

Palavras Chave

Breast cancer, ki-67 antigen, immunohistochemistry, prognostic factors, cell proliferation

Área

EPIDEMIOLOGY, RISK, AND PREVENTION - Risk factors and modeling