Summary Primary breast diffuse large B-cell lymphoma (DLBCL) is a rare subtype of non-Hodgkin lymphoma (NHL) with limited data on pathology and outcome. A multicentre retrospective study was undertaken to determine prognostic factors and the incidence of central nervous system (CNS) relapses. Data was retrospectively collected on patients from 8 US academic centres. Only patients with stage I/II disease (involvement of breast and localized lymph nodes) were included. Histologies apart from primary DLBCL were excluded. Between 1992 and 2012, 76 patients met the eligibility criteria. Most patients (86%) received chemotherapy, and 69% received immunochemotherapy with rituximab; 65% received radiation therapy and 9% received prophylactic CNS chemotherapy. After a median follow-up of 4.5 years (range 0.6 – 20.6 years), the Kaplan-Meier estimated median progression-free survival was 10.4 years (95% confidence interval [CI] 5.8 – 14.9 years), and the median overall survival was 14.6 years (95% CI 10.2 – 19 years). Twelve patients (16%) had CNS relapse. A low stage-modified International Prognostic Index (IPI) was associated with longer overall survival. Rituximab use was not associated with a survival advantage. Primary breast DLBCL has a high rate of CNS relapse. The stage-modified IPI score is associated with survival.

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To evaluate the significance of the association of malignant disease with bullous pemphigoid, we reviewed 497 consecutive cases with positive immunofluorescence tests for circulating antibodies to basement membrane. We searched the Swedish Cancer Registry, Stockholm, Sweden, for records reporting malignancies in the study population (1958 to 1985), and the expected number of malignancies was calculated on the basis of age- and sex-standardized incidence data. In 61 patients, a total of 69 malignancies were diagnosed. The expected number of malignancies was 82.6. In 25 patients, a total of 27 malignancies appeared during the same year as the onset of pemphigoid, or later. The expected number was 35.8. The median titer of circulating antibodies in the 497 patients, in the 61 patients with malignancy, and in the 25 patients with malignancy preceded by the pemphigoid, were not significantly different. We conclude that pemphigoid is not statistically associated with malignancy, and that the former hypothesis of such an association was based on age only.

The Internet of Things (IoT) integrates billions of self-organized and heterogeneous smart nodes that communicate with each other without human intervention. In recent years, IoT based systems have been used in improving the experience in many applications including healthcare, agriculture, supply chain, education, transportation and traffic monitoring, utility services etc. However, node heterogeneity raised security concern which is one of the most complicated issues on the IoT. Implementing security measures, including encryption, access control, and authentication for the IoT devices are ineffective in achieving security. In this paper, we identified various types of IoT threats and shallow (such as decision tree (DT), random forest (RF), support vector machine (SVM)) as well as deep machine learning (deep neural network (DNN), deep belief network (DBN), long short-term memory (LSTM), stacked LSTM, bidirectional LSTM (Bi-LSTM)) based intrusion detection systems (IDS) in the IoT environment have been discussed. The performance of these models has been evaluated using five benchmark datasets such as NSL-KDD, IoTDevNet, DS2OS, IoTID20, and IoT Botnet dataset. The various performance metrics such as Accuracy, Precision, Recall, F1-score were used to evaluate the performance of shallow/deep machine learning based IDS. It has been found that deep machine learning IDS outperforms shallow machine learning in detecting IoT attacks.

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