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PREDICT is a tool designed to estimate the benefits of adjuvant therapy and the overall survival of women with early breast cancer. The model uses clinical, histological, and immunohistochemical variables. This study aimed to evaluate the model's performance in a Brazilian population. We assessed the discrimination and calibration of the PREDICT model to estimate overall survival (OS) in five and ten years of follow-up in a cohort of 873 women with early breast cancer diagnosed from January 2001 to December 2016. A total of 743 patients had estrogen receptor (ER)-positive and 130 had ER-negative tumors. The area under the receiver operating characteristic (ROC) curve (AUC) for discrimination was 0.72 (95%CI: 0.66-0.78) at five years and 0.67 (95%CI: 0.61-0.72) at ten years for women with ER-positive tumors. The AUC was 0.72 (95%CI: 0.62-0.81) at five years and 0.67 (95%CI: 0.54-0.77) at ten years for women with ER-negative tumors. The predicted survival in ER-positive tumors was 91.0% (95%CI: 90.2-91.6%) at five years and 79.3% (95%CI: 77.7-81.0%) at ten years, and the observed survival 90.7% (95%CI: 88.6-92.9%) and 77.2% (95%CI: 73.4-81.4%), respectively. The predicted survival in ER-negative tumors was 84.5% (95%CI: 82.5-86.6%) at five years and 75.0% (95%CI: 71.6-78.5%) at ten years, and the observed survival 76.3% (95%CI: 69.1-84.3%) and 67.9% (95%CI: 58.6-78.6%), respectively. In conclusion, PREDICT was accurate to estimate OS in women with ER-positive tumors and overestimated the OS in women with ER-negative tumors.

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RESUMEN

PREDICT is a tool designed to estimate the benefits of adjuvant therapy and the overall survival of women with early breast cancer. The model uses clinical, histological, and immunohistochemical variables. This study aimed to evaluate the model's performance in a Brazilian population. We assessed the discrimination and calibration of the PREDICT model to estimate overall survival (OS) in five and ten years of follow-up in a cohort of 873 women with early breast cancer diagnosed from January 2001 to December 2016. A total of 743 patients had estrogen receptor (ER)-positive and 130 had ER-negative tumors. The area under the receiver operating characteristic (ROC) curve (AUC) for discrimination was 0.72 (95%CI: 0.66-0.78) at five years and 0.67 (95%CI: 0.61-0.72) at ten years for women with ER-positive tumors. The AUC was 0.72 (95%CI: 0.62-0.81) at five years and 0.67 (95%CI: 0.54-0.77) at ten years for women with ER-negative tumors. The predicted survival in ER-positive tumors was 91.0% (95%CI: 90.2-91.6%) at five years and 79.3% (95%CI: 77.7-81.0%) at ten years, and the observed survival 90.7% (95%CI: 88.6-92.9%) and 77.2% (95%CI: 73.4-81.4%), respectively. The predicted survival in ER-negative tumors was 84.5% (95%CI: 82.5-86.6%) at five years and 75.0% (95%CI: 71.6-78.5%) at ten years, and the observed survival 76.3% (95%CI: 69.1-84.3%) and 67.9% (95%CI: 58.6-78.6%), respectively. In conclusion, PREDICT was accurate to estimate OS in women with ER-positive tumors and overestimated the OS in women with ER-negative tumors.

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Obesity has been associated with an increased risk of breast cancer recurrence and death. Some readily available biomarkers associated with systemic inflammation have been receiving attention as potential prognostic indicators in cancer, including neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR). This study aimed to explore the correlation between body mass index (BMI) and invasive breast cancer and the association of NLR, PLR, and BMI with breast cancer outcomes. We undertook a retrospective study to evaluate patients treated for breast cancer over 14 years. Clinicopathological data was obtained before receiving any treatment. Of the 1664 patients included with stage I-III, 567 (34%) were obese (BMI≥30 kg/m2). Obese patients had larger tumors compared to non-obese patients. Higher BMI was associated with recurrence and worse survival only in patients with stage I disease. NLR and PLR were classified into high and low level groups. The NLRhigh (NLR>4) was found to be an independent prognostic factor for recurrence and mortality, while the PLRhigh (PLR>150) group had no impact on survival. A subgroup of patients with NLRhigh and BMIhigh had the worst disease-free survival (P=0.046), breast cancer-specific survival (P<0.001), and overall survival (P=0.006), compared to the other groups. Patients with early-stage breast cancer bearing NLRhigh and BMIhigh had worse outcomes, and this might be explained by the dysfunctional milieu of obesity in adipose tissue and its effects on the immune system. This study highlights the importance of lifestyle measures and the immune system interference with clinical outcomes in the early breast cancer setting.

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Obesity has been associated with an increased risk of breast cancer recurrence and death. Some readily available biomarkers associated with systemic inflammation have been receiving attention as potential prognostic indicators in cancer, including neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR). This study aimed to explore the correlation between body mass index (BMI) and invasive breast cancer and the association of NLR, PLR, and BMI with breast cancer outcomes. We undertook a retrospective study to evaluate patients treated for breast cancer over 14 years. Clinicopathological data was obtained before receiving any treatment. Of the 1664 patients included with stage I-III, 567 (34%) were obese (BMI≥30 kg/m2). Obese patients had larger tumors compared to non-obese patients. Higher BMI was associated with recurrence and worse survival only in patients with stage I disease. NLR and PLR were classified into high and low level groups. The NLRhigh (NLR>4) was found to be an independent prognostic factor for recurrence and mortality, while the PLRhigh (PLR>150) group had no impact on survival. A subgroup of patients with NLRhigh and BMIhigh had the worst disease-free survival (P=0.046), breast cancer-specific survival (P<0.001), and overall survival (P=0.006), compared to the other groups. Patients with early-stage breast cancer bearing NLRhigh and BMIhigh had worse outcomes, and this might be explained by the dysfunctional milieu of obesity in adipose tissue and its effects on the immune system. This study highlights the importance of lifestyle measures and the immune system interference with clinical outcomes in the early breast cancer setting.

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Reducing primary tumor volume is the main role of neoadjuvant chemotherapy for breast cancer. We evaluated the benefit of adding docetaxel to anthracyclin as neoadjuvant therapy. This study is a retrospective cohort analysis comparing the efficacy of neoadjuvant chemotherapy in patients subjected to docetaxel and epirubicin or 5-fluoruracil, epirubicin and cyclophosphamide combinations (DE and FEC group, respectively). The mean number of chemotherapy delivered was similar in both groups (P = 0.8). A total of 316 patients were treated (151 in FEC group and 165 in DE group). Primary endpoint was the clinical and pathological response to therapy. Breast conserving surgery rate was compared. In T1/2 staged patients, the complete clinical response rate was 7.5% in FEC group and 32% in DE group (P = 0.002), and the breast conserving surgery rate was 72 and 73% in FEC and DE groups, respectively (P = 0.9). In the subset of patients staged as T3 and T4a-c, objective response was higher in DE group (P < 0.0001 and P = 0.008, respectively). Breast conserving surgery rate was 38 and 63% in FEC and DE groups, respectively, in T3 staged patients and, 20.5 and 37% in T4a-c staged patients (P = 0.003 and 0.08). Despite the similar number of chemotherapy cycles delivered in both groups, the presence of microscopic axillary lymph node involvement after chemotherapy was less frequent in DE group. Neoadjuvant chemotherapy with DE combination is more effective in terms of clinical and pathological response propitiating higher breast conserving surgery rate than FEC combination in stage II and III breast cancer.

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PURPOSE: To verify if a third series of images acquired by reinjection thallium-201, 24h after conventional myocardial perfusion with the radioisotope, improves the identification of myocardial viability segments. METHODS: We studied 30 patients, mean age 57.7 +/- 9.4 years, with old myocardial infarction using thallium (Tl)-201 SPECT (single-photon-emission computed tomography), and we obtained 3 series of images (stress, redistribution after 4h and reinjection after 24h. Cardiac images were divided in 5 segments (apical, lateral, anterior, septal and inferior) and each one received a value by a score system according to the Tl-201 myocardial uptake (0 = normal uptake; 1 = mild hypoperfusion; 2 = moderate hypoperfusion; 3 = severe hypoperfusion or no myocardial uptake). We considered viable myocardium when the uptake of Tl-201 in the segment related to the myocardial infarction increased at least 1 point in two different axis of Tl-201 SPECT. RESULTS: Seven (23.3%) patients demonstrated increase of Tl-201 uptake only at reinjection images, showing a higher efficacy of the method. Nine (30%) patients showed persistent hypoperfusion at all series of images suggesting only fibrosis in the area related to the infarction. Fourteen (46.7%) patients showed increase of Tl-201 concentration at redistribution images; among these patients, six showed improvement of myocardial uptake at reinjection. This condition were interpreted as regional chronic ischemic process: hibernating myocardium. CONCLUSION: Tl-201 hypoperfusion at redistribution images without significant changes in relation to the stress images do not represent fibrosis at all. The reinjection technic was better than conventional redistribution in the detection of viable myocardium. This data allows a better therapeutic orientation.

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