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Mean platelet volume (MPV), the most commonly used measure of platelet size, and is altered in patients with malignancies. The aim of this study was to investigate the effect of MPV on overall survival (OS) of patients with locally advanced (Stage IIIA/B) inoperable non-small cell lung cancer (NSCLC). This retrospective study included patients who received concomitant chemoradiotherapy (CCRT) with cisplatin + etoposide regimen due to locally advanced stage IIIA/B NSCLC. The study included a total of 115 cases, consisting of 110 (95.7%) male and 5 (4.2%) female patients. The mean age of the patients was 61.3 ± 10.4 (22–82) years. ROC curve generated by MPV for OS yielded an AUC of 0.746 (95% CI 0.659–0.833), (p < 0.001). MPV was detected as >9 fL with a sensitivity of 74.4% and a specificity of 72.0%. In patients with stage IIIA, median OS was 45.0 months (95% CI 17.3–74.1) and 21 months (95% CI 10.6–31.3) in groups with MPV > 9.0 fL and ≤9.0 fL, respectively (p = 0.013). In patients with stage IIIB, median OS was 44.0 months (95% CI 13.8–60.6) and 16 months (95% CI 9.5–22.4) in groups with MPV > 9.0 fL and ≤9.0 fL, respectively (p = 0.036). ECOG performance score, total platelet count, and MPV were found as the most significant independent factors affecting survival (p < 0.001, p = 0.008, and, p = 0.034, respectively). In this study, we showed that decreased pre-treatment MPV was an independent risk factor for survival in NSCLC patients who were administered CCRT. As part of routine complete blood count panel, MPV may represent one of the easiest measuring tools as an independent prognostic marker for survival in locally advanced NSCLC.

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Background: Neuroendocrine tumors are a heterogeneous group of tumors that can originate from all of the neuroendocrine cells in the body, mostly from the gastrointestinal tract. In addition to early diagnosis, streaming patients into appropriate prognostic groups is an important component of treatment. In this study, we examined the factors that affect survival in patients we followed in our center between 2000-2016. Methods: The demographic data, clinical and pathological features of patients were obtained from their medical files. TNM staging and tumor grading were performed according to AJCC and WHO 2010 classification. SPSS 15.0 for Windows programme was used for statistical analysis. Results: 85 patients (32 male, 53 female) were included into the study. The median age of the patients was 55,7 (27-83) years. Eighty percent of the tumors were of gastroenteropancreatic system, most commonly stomach (27.1%) origin. Nineteen patients (22.4%) died during follow-up. In univariate analysis; age (p<0,001), stage (p=0.002), primary tumor localization (p=0.005), grade (p<0.001), Ki-67 value (p<0.001), number of metastases (p=0.001) and type of surgery (p<0.001) were found to be factors affecting survival. Age (p=0.024) and Ki67 (p <0.001) were the independent prognostic factors for survival in multivariate analysis. For the cut-off value of 6%, Ki-67 had a sensitivity of 83.3% and specifity of 71.4% for survival determination. Conclusion: Ki-67 ratio and age were the most important factors affecting survival in neuroendocrine tumors in our study. Ki-67 ratio has a high sensitivity and specificity for predicting survival, a cut-off value of 6% may be used to predict survival.

Introduction: Ado-trastuzumab emtansine (T-DM1) is an antibody–drug conjugate and its survival advantage has been shown in advanced human epidermal growth factor receptor 2 (HER2)–positive breast cancer. However, clinical trials underrepresent patients ⩾65 years of age, leading to a lack of information in this population. We analyzed the real-world outcomes of older women who were treated with T-DM1 therapy. Methods: We performed a multicenter, observational, retrospective analysis of patients aged ⩾65 years treated with T-DM1. A total of 93 patients from 10 cancer centers were involved in the study. Our goal was to determine the survival, response rates, and toxicity profile in T-DM1–treated patients, as well as the factors that influence survival. Results: Median follow-up was 12.2 months. Objective response rate was 29%. Median progression-free survival (PFS) and overall survival (OS) were 8.47 and 15.0 months, respectively. In multivariate analysis, Eastern Cooperative Oncology Group Performance Score 2 was found to be an independent prognostic factor for worse PFS (hazard ratio [HR] 1.81, p = 0.032) and OS (HR 2.33, p = 0.006). Any adverse event (AE) was seen in 92.5% of patients; grade 3 or 4 AEs were seen in 30.1%. Dose reduction or treatment discontinuation rates were 11.8% and 6.5%, respectively. Conclusion: The efficacy of T-DM1 was acceptable and it was generally well-tolerated among older patients with advanced HER2-positive breast cancer.

Introduction To evaluate the predictive significance of pretreatment metabolic tumor volume on pathologic response in patients who received neoadjuvant chemotherapy for breast cancer. Methods Seventy patients who received neoadjuvant chemotherapy between 2013 and 2017 years were enrolled in the study. Pathologic responses and 18-fluorodeoxyglucose positron emission tomography/computed tomography metabolic dates of patients were obtained from archive files. Results Forty-six (65.7%) patients were in stage II and 24 (34.3%) patients were in stage III; 25 (35.7%) patients were human epidermal growth factor receptor 2 positive, 46 (65.7%) patients were estrogen receptor-positive, 26 (37.1%) patients were progesterone receptor-positive. According to the Miller-Payne grading system, 24 (34.3%) patients constituted 100% pathological response; patients with 91–99% pathological response were 12 (17.1%), the number of patients with non-pathologic response was 6 (8.6%). Median metabolic tumor volume was 7.3 cm3 (7.1 ± 3.5), 8.8 (11.4 ± 9.4), 7.7 (8.3 ± 4.6) and 22 cm3 (19.8 ± 11.0) in patients with stages IIA, IIB, IIIA, and IIIB, respectively ( p = 0.032). In Miller-Payne grading, the median metabolic tumor volume value was higher in patients with no pathologic response group than 100% response group ( p = 0.003). The cut-off metabolic tumor volume value determining no pathologic response was calculated as higher than 13.62 cm3 (sensitivity 83.3% and specificity 82.8%). Conclusions Our study results suggest that higher pretreatment metabolic tumor volume values are predictive on no pathologic response in patients treated with neoadjuvant chemotherapy for breast cancer.

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