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Background:The aim of this study was to investigate the effect of platelet parameters before concurrent chemoradiotherapy (CCRT) on survival of patients with limited disease small cell lung cancer (LD-SCLC). Methods: This study consisted of patients who received CCRT due to LD-SCLC in the oncology clinic between 1997-2017. Examined platelet parameters included total platelet count (TPC), mean platelet volume, platelet distribution width, and platelet-lymphocyte ratio. The cut-off value for TPC was determined as 306x10 9 /U (sensitivity: 62%, specificity: 75.5%), where patients below or equal to this level was classified as Group I, and those above as Group II. Results:The study included 90 patients whose mean age was 59 years (range: 42-83) and male ratio was 80.0% (n=72). Near three-fourths of patients (74.4%) were at clinical stage III. Among stage I-II patients, mOS was found as 126 months for Group I whereas it had not been reached in Group II (p=0.158). Stage III patients showed significantly lower mOS for Group 1 (16 [range: 14.1-17.8] months) compared to that in Group 2 (19.0 [range: 15.6-62.8] months; p=0.002). In multivariate analysis, Eastern Cooperative Oncology Group performance score (p=0.003), clinical stage (p<0.001), prophylactic cranial irradiation (p=0.004), and TPC (p=0.031) was determined as the most significant factors affecting survival. Conclusion: Our study suggests association of high baseline levels of TPC to improved survival in patients scheduled to undergo CCRT for LD-SCLC. Considering easiness and universal availability of TPC measurement, potential utilization of this biomarker may be promising to predict survival, albeit requiring validation by further well-designated prospective studies.

Aim: Systemic inflammation has been associated with chemoresistance and prognosis in solid tumors. Systemic immune-inflammation index (SII) is a novel marker derived from complete blood count. We investigated whether differences between SIIs measured before and after neoadjuvant chemotherapy (NACT) are associated with tumor regression grade (TRG) and survival in gastric and gastroesophageal junction (GEJ) cancer patients.Methods: Records of gastric and GEJ cancer patients treated with NACT in two centers were evaluated retrospectively. Patients were categorized according to difference between pre-and post-NACT SII values (ΔSII). Association between clinicopathological factors and TRG was analyzed using logistic regression method. Predictors of diseasefree and overall survival (DFS and OS) were determined with Cox regression models. Results:The study included 140 patients. Patients with ΔSII<0 were more likely to achieve TRG 0/1 (45.2% vs. 19.1%, p = 0.003) and ΔSII<0 was an independent predictor of TRG 0/1 (OR = 6.05, p<0.001). DFS and OS of patients with ΔSII<0 were also significantly longer (p = 0.031 and p = 0.006, respectively). After adjustment for other variables, ΔSII≥0 was an independent prognostic factor for OS (Hazard ratio (HR) = 2.13, p = 0.008).Conclusions: Changes in SII, which is a low-cost and easily accessible marker, may be used to estimate prognosis, individualize postoperative treatment and optimize surveillance in gastric and GEJ cancer patients treated with NACT.

Treatment algorithms of metastatic castrationresistant prostate cancer were expanded with drugs targeting the androgen signaling pathway. The aim of this study was to evaluate the efficacy of abiraterone in patients with castration-resistant metastatic prostate cancer.

Background Prognostic markers in metastatic renal cell cancer (mRCC) are still insufficient. Any prognostic model objectively determines disease burden. Purpose To investigate the relationship between 18-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) parameters and outcomes in mRCC, and to define a revised International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) model for the intermediate-risk group. Material and Methods A retrospective study of mRCC was conducted. To investigate the prognostic significance of 18F-FDG PET/CT parameters, maximum standardized uptake value (SUVmax), total lesion glycolysis (TLG), and metabolic tumor volume (MTV) were determined in pre-treatment images. Cutoff values were defined by ROC curve analyses and their association with outcomes was analyzed. Additionally, a TLG-adjusted IMDC model was created by stratifying intermediate-risk group patients according to TLG levels. Results The study included 52 patients. The disease control rate (DCR) was 61.5% and median overall survival (OS) was 18 months (95% confidence interval=9.2–25.8). In the univariate analyses, IMDC score, MTV, and TLG were prognostic factors for Disease Control Rate (DCR), and Eastern Cooperative Oncology Group (ECOG)-Performance Status (PS), IMDC score, lactate dehydrogenase (LDH), treatment option, MTV, and TLG were prognostic factors for OS ( P < 0.05 each). In the multivariate analyses, MTV was an independent prognostic factor for DCR, and ECOG-PS, LDH, IMDC score, and TLG were independent prognostic factors for OS. According to the revised-IMDC model, the intermediate-favorable group showed longer OS than the intermediate-unfavorable group. Conclusion Pretreatment MTV was independent prognostic factor for DCR and ECOG-PS, LDH, IMDC score, and TLG were independent prognostic factors for OS. Revised-IMDC model could identify patients with a worse prognosis among the IMDC intermediate-risk group.