Trastuzumab is a recombinant humanized monoclonal antibody used to treat human epidermal growth factor receptor 2 positive breast cancer, with recognized associated cardiotoxicity. In this retrospective observational study, we investigated associated cardiotoxicity on clinical outcomes using trastuzumab in women referred to our clinic. The study was made up of 111 women with human epidermal growth factor receptor 2-overexpressing breast cancer who received trastuzumab in the Medical Oncology Department, between 2010 and 2013. A > 10% reduction of the baseline fraction of the left ventricular ejection fraction was observed in 18 (16.21%) women. Two individuals (1.8%) suffered from symptomatic heart failure, seven women showed cardiac symptoms and nine women showed asymptomatic decline of left ventricular ejection fraction. Risk factors for cardiotoxicity in the group included: postmenopausal status (p = 0.01), hypertension (p = 0.002), obesity (p = 0.0001), previously diagnosed coronary artery disease (p = 0.0001) and smoking (p = 0.03). The aforementioned factors pose a risk for cardiotoxicity. We found postmenopausal status, hypertension, obesity, previous coronary artery disease and smoking to be associated with an increased risk of cardiac dysfunction in women using trastuzumab. While administering trastuzumab to women who have these conditions, one must be aware of the risk of cardiotoxicity of trastuzumab.

Lymphovascular invasion (LVI) and perineural invasion (PNI) are associated with poor prognosis in gastric cancers. In this work, we aimed to investigate the potential role of computed tomography (CT) texture analysis in predicting LVI and PNI in patients with tubular gastric adenocarcinoma (GAC) using a machine learning (ML) approach. Sixty-eight patients who underwent total gastrectomy with curative (R0) resection and D2-lymphadenectomy were included in this retrospective study. Texture features were extracted from the portal venous phase CT images. Dimension reduction was first done with a reproducibility analysis by two radiologists. Then, a feature selection algorithm was used to further reduce the high-dimensionality of the radiomic data. Training and test splits were created with 100 random samplings. ML-based classifications were done using adaptive boosting, k-nearest neighbors, Naive Bayes, neural network, random forest, stochastic gradient descent, support vector machine, and decision tree. Predictive performance of the ML algorithms was mainly evaluated using the mean area under the curve (AUC) metric. Among 271 texture features, 150 features had excellent reproducibility, which were included in the further feature selection process. Dimension reduction steps yielded five texture features for LVI and five for PNI. Considering all eight ML algorithms, mean AUC and accuracy ranges for predicting LVI were 0.777–0.894 and 76%–81.5%, respectively. For predicting PNI, mean AUC and accuracy ranges were 0.482–0.754 and 54%–68.2%, respectively. The best performances for predicting LVI and PNI were achieved with the random forest and Naive Bayes algorithms, respectively. ML-based CT texture analysis has a potential for predicting LVI and PNI of the tubular GACs. Overall, the method was more successful in predicting LVI than PNI.

Background: The efficacy and tolerability of modern cytotoxic chemotherapy regimens used in malnourished metastatic colorectal cancer (mCRC) patients is uncertain. The aim of this study was to investigate the effect of malnutrition on efficacy and tolerability of cytotoxic chemotherapy and overall survival in mCRC patients. Methods: In this multicenter study, demographic, oncologic and nutritional data were collected prospectively from mCRC patients. Nutritional status of the patients were evaluated on the basis of NRI (Nutritional Risk Assessment), BMI (Body Mass Index) and WL (Weight Loss) before the first chemotherapy, after the first and second chemotherapy during 2 cycles of chemotherapy every 15 days. To determine the inter-treatment weight loss toxicity assessment was included to theese parameters after each chemotherapy. NRI calculation was performed as [1.51xserum albumin level (g/L)+41.7xcurrent weight/basic weight]. NRIs were examined in 3 categories as ‘no malnutrition’ (NRI >97.5), ‘moderate malnutrition’ (97.5 ≥NRI ≥83.5) or ‘severe malnutrition’ (NRI <83.5). Response to treatment and drug-induced toxicities were assessed based on Criteria in Solid Tumors (RECIST) 1.1 and National Cancer Institute CTCAE version 4.0 respectively. Results: One-hundred and thirty-seven mCRC patients were prospectively included. Median age was 48 (range 18-83). Primary location was colon in 66% of patients and 84% of their primary source was left colon. Malnutrition was detected in 39% of the cases. Response rate to treatment was twenty four percent. While there was no significant relationship between chemotherapy response and moderate/severe malnutrition (p = 0.24), moderate/severe malnutrition was associated with multipl site of metastases, WHO PS (World Health Organization Performance Status) of 1, over the median value of CEA/CA 19-9 (carcinoembryonic antigen/carbohydate antigen 19-9) levels (p = 0.003, p = 0.03, p < 0.001, and p = 0.02; respectively). Hypoalbuminemia and moderate/severe malnutrition were associated with all types of toxicity (p < 0.001 and p < 0.001). Moderate/severe malnutrition was associated with thrombocytopenia, and diarrhea following chemotherapy predominately, (p = 0.02 and p = 0.04; respectively). In moderate/severe malnutrition group median overall survival was prominently shorter than those with no malnutrition [6.6 moths (95%CI, 5.6-7.6) vs 11.9 moths (95% CI, 11.1-12.7) respectively, p < 0.001]. Conclusions: Our study showed that moderate/severe malnutrition in mCRC patients was associated with decreased overall survival and increased chemotherapy toxicity.

Objectives: Although Hodgkin's lymphoma (HL) is one of the most curable cancers in adult patients, new targets have to be defined in cases resistant to traditional chemotherapy. The preferentially expressed antigen of melanoma (PRAME) is a cancer testis antigen and its expression is very scarce or absent in normal tissues. For this reason PRAME is a promising candidate for tumor immunotherapy. The aim of this study is to understand the correlation of PRAME expression with prognostic factors in HL, to determine the utility of PRAME as a targeted molecule for immunotherapy and to compare real-time polymerase chain reaction (real-time PCR) and immunohistochemistry (IHC) for the detection of PRAME. Methods: In 82 patients, PRAME was studied using real-time PCR and IHC. Data analyses were performed using statistical methods such as t test, Mann-Whitney U test, χ2 test, Kaplan-Meier method, log-rank test and Cox regression analysis. Results: PRAME was detected in 15 (18.3%) patients using IHC and in 8 (9.8%) patients using real-time PCR. A correlation was found between PRAME positivity and higher International Prognostic Score (p = 0.039). PRAME positivity detected using real-time PCR was found to be correlated with shorter disease-free survival (DFS) and overall survival (OS, p = 0.0005). Discussion: The demonstration of PRAME especially in histiocytes and Reed-Sternberg cells may provide guidance for immunotherapy. Although PRAME positivity increases the risk for death (3.56), independent risk factors that affected DFS and OS occurred in advanced age and high-risk groups. Conclusion: Although real-time PCR is sensitive in the detection of PRAME, IHC can be another useful method. Despite the need for studies conducted on larger patient samples, PRAME expression is considered as a poor prognostic parameter in HL.

Breast cancer (BC) is the most frequent cause of cancer death in women throughout the world. Thus, it is necessary to establish sensitive screening, diagnosis and treatment methods for BC. Heat shock protein 70 (HSP70) is an important cellular stress response protein that protects cells from apoptosis. Recent studies have shown that serum HSP70 levels may provide clinically important information in various types of cancer. HSP70 is also overexpressed in BC, which is known to be associated with cancer progression, apoptosis and cell proliferation. However, the serum level of HSP70 and its diagnostic and prognostic potential in BC have not been investigated yet. The aim of this study was to determine the usefulness of serum HSP70 level as a diagnostic test and its predictive value in patients with BC. This prospective study consisted of 45 female patients diagnosed with BC and 16 healthy women who were matched for age and body mass index (BMI). Enzyme-linked immunosorbent assay (ELISA) technique was used to measure the serum level of HSP70. The serum level of HSP70 was significantly higher in patients with BC than in the healthy control group (5.98 ± 2.05 vs. 1.49 ± 0.47 ng/ml, p = 0.001). HSP70 level > 2.41 ng/ml was the best cutoff value to predict BC (97.78% sensitivity and 93.75% specificity). This study shows that HSP70 can be used as an adjunct to other diagnostic tests for BC and may be helpful for identifying patients at increased risk of BC.