Introduction and aim To investigate the effect of the prognostic nutritional index on treatment response and survival in patients with metastatic renal cell cancer. Methods We retrospectively analyzed the treatment modalities; the demographic, clinical and pathological features of 396 patients with RCC and prognostic nutritional index. Based on the median value, patients were grouped as having low and high prognostic nutritional index values. Kaplan-Meier method was used for survival analysis, and Cox-regression analysis was used for multivariate analysis. Results The median overall survival was 39 months (95% CI 26.1–51.8), 28 months (95% CI 17.9–38) and 7 months (95% CI 4.7–9.2) in patients with favorable, intermediate and poor International Metastatic Renal Cell Carcinoma Database Consortium risk group, respectively. The difference between the groups was statistically significant (p < 0001). Overall survival was 11 months (95% CI 7.5–14.5) in the low-prognostic nutritional index (prognostic nutritional index ≤38.5) group, and 41 months (95% CI 30.5–51.4) in the high prognostic nutritional index (prognostic nutritional index >38.5) group (p < 0.001). In Cox regression analysis, Eastern Cooperative Oncology Group performance score (HR: 2.5), time to systemic treatment (HR: 1.7) and prognostic nutritional index (HR: 1.8) were associated with overall survival. Conclusion In patients with renal cell cancer, prognostic nutritional index is closely related to survival and has prognostic significance.

Background/aim To evaluate the incidence, clinical features, risk factors, and prognosis of central nervous system (CNS) involvement in patients with acute myeloid leukemia (AML). Materials and methods All AML patients who were admitted to Hacettepe University hospital between 2000 and 2021 were evaluated. The medical records of 548 AML cases were retrospectively analyzed. Results The frequency of CNS involvement was 2.4% (n = 13) at diagnosis and 4.6% (n = 25) at diagnosis or during follow-up. Parenchymal involvement was seen in 5 patients, leptomeningeal involvement was seen in 11 patients. Three patients had both leptomeningeal and parenchymal involvements, and 6 patients had optic nerve or ocular involvement. In univariate analysis, younger age and extramedullary involvement at diagnosis were associated with CNS disease at diagnosis, and extramedullary involvement at diagnosis was associated with CNS disease during follow-up. In multivariate analysis; younger age and extramedullary involvement at diagnosis were associated with CNS disease at diagnosis and during follow-up respectively. Median overall survival was 5.4 months in patients with CNS disease at diagnosis and 16.9 months in patients with CNS disease during follow-up and 16.2 months in patients with no CNS disease. Conclusion CNS disease is a rare complication of AML. Younger age and extramedullary involvement at diagnosis are risk factors for CNS involvement.

Aim To define the inclusion/exclusion status of patients with brain metastasis in phase-III clinical trials and the effect of systemic therapies in metastatic renal cell cancer patients with brain metastasis. Methods “kidney neoplasms”[MeSH Terms] OR (“kidney”[All Fields] AND “neoplasms”[All Fields]) OR “kidney neoplasms”[All Fields] OR (“kidney”[All Fields] AND “cancer”[All Fields]) OR “kidney cancer”[All Fields] AND “brain metastasis” were used for searching “PubMed” electronic database and “clinicaltrials.gov” website. Results Five of 19 landmark phase-III clinical trials included patients with stable or asymptomatic brain metastasis and there was no data about outcomes of brain metastasis. The effect of systemic therapy on prevention of brain metastasis in renal cell cancer was evaluated in four studies. Two studies showed that the incidence of brain metastasis decreased, while the other two studies showed no effect of antiangiogenic agents on the prevention of brain metastasis in patients with renal cell cancer. There were 10 trials regarding systemic therapy of renal cell cancer brain metastasis. The overall response rate improved through a combination of targeted therapies and local treatment. The results of the trials studying the effect of tyrosine kinase inhibitors without local treatment were controversial. None of the ongoing clinical trials included patients with active brain metastasis. Conclusion In metastatic renal cell cancer patients with brain metastasis, the overall response rate improved with the combination of targeted agents and local treatment. Further trials are needed to evaluate the effect of systemic treatment on the prevention or treatment of brain metastasis in patients with renal cell cancer.

Purpose Studies in the last decade show survival improvement with checkpoint blocker therapy in patients with metastatic malign melanoma. Our purpose was to define the efficacy of ipilimumab according to the patient's baseline characteristics including absolute lymphocytes count. Methods We collected the data of 97 patients with advanced malign melanoma treated with ipilimumab (3 mg/kg, q3w) retrospectively. Log-rank test was used to analyze the univariate effects of patient's characteristics (age, gender, metastatic sites, ECOG PS, type of melanoma, lactic dehydrogenase levels, anemia, lymphocytes (L), neutrophils (N), N/L ratio), c-kit and BRAF status. Survival analyses were estimated with Kaplan–Meier method. Cox regression analysis was used to assess the possible factors identified with log-rank test. Results The median age was 58, and 58% were male and 90% of patients had at least one prior systemic therapy. The median survival was 9.7 months for all patients; and the 12- and 24-month survival rates were 43% and 19%, respectively. Absolute lymphocytes count, lactic dehydrogenase level, bone metastasis, the number of metastatic sites, and RECIST response were significantly related to survival. After Cox regression analysis, RECIST response (complete or partial response), absolute lymphocytes count (more than 1500/mm3) and the number of metastatic sites (less than three sites) remained as significant independent prognostic factors for longer survival. Conclusion Ipilimumab improved survival of patients with metastatic malign melanoma. However, patients with fewer metastatic sites and higher absolute lymphocytes count have a significantly better benefit. To determine if these markers could be used to direct patient therapy, further validation analysis is needed.

Objective To evaluate prognostic factors associated with the use of ipilimumab in patients with mucosal and uveal melanoma. Methods In this multicenter, retrospective study, 31 patients with uveal and mucosal melanoma diagnosed between 2010 and 2017 were enrolled. Patients’ characteristics, metastatic disease sites, treatment before ipilimumab therapy, performance status, hemoglobin, lactate dehydrogenase levels, B-RAF and c-kit mutation status, toxicity, and survival data were assessed for patients with mucosal and uveal melanoma. SPSS version 17 was used for statistical analysis. Kaplan–Meier method was used for survival analysis. The log-rank test was used for univariate analyses. The Cox regression analysis was used to test the association between multivariate variables and survival. The p-value of less than 0.05 was considered statistically significant. Results Twenty patients had uveal and eleven patients had mucosal melanoma. The median overall survival was seven months (95% confidence interval: 1.1–12.7). In univariate analysis, while bone metastasis, anemia, high lactate dehydrogenase level, and more metastatic sites were associated with lower overall survival, better treatment response and administration of ipilimumab in first or second lines were associated with favorable overall survival. In multivariate analysis, only treatment response status and administration of ipilimumab in first or second lines were found to be significant as independent prognostic factors for survival. Conclusion Ipilimumab therapy may be associated with increased survival, but this retrospective small N study makes that hard to definitely conclude.