TTD consensus document on the diagnosis and management of exocrine pancreatic cancer.

Exocrine pancreatic cancer (PC) is a very aggressive and heterogeneous tumor with several cellular signaling pathways implicated in its pathogenesis and maintenance. Several risk factors increase the risk of developing PC. Therapeutic strategies used are dictated by the extent of disease. Supportive treatment is critical because of the high frequency of symptoms. For localized disease, surgery followed by adjuvant gemcitabine is the standard. Neoadjuvant and new adjuvant chemotherapy regimens are being evaluated. Locally advanced disease should respond best guided by a multidisciplinary team. Various treatment options are appropriate such as chemotherapy alone or chemoradiotherapy with integration of rescue surgery if the tumor becomes resectable. In metastatic disease, chemotherapy should be reserved for patients with ECOG 0-1 using Folfirinox or gemcitabine plus nab-paclitaxel as the most recommended options. Several therapeutic strategies targeting unregulated pathways are under evaluation with an unmet need for biomarkers to guide management.

Incorporating inter-relationships between different levels of genomic data into cancer clinical outcome prediction.

In order to improve our understanding of cancer and develop multi-layered theoretical models for the underlying mechanism, it is essential to have enhanced understanding of the interactions between multiple levels of genomic data that contribute to tumor formation and progression. Although there exist recent approaches such as a graph-based framework that integrates multi-omics data including copy number alteration, methylation, gene expression, and miRNA data for cancer clinical outcome prediction, most of previous methods treat each genomic data as independent and the possible interplay between them is not explicitly incorporated to the model. However, cancer is dysregulated by multiple levels in the biological system through genomic, epigenomic, transcriptomic, and proteomic level. Thus, genomic features are likely to interact with other genomic features in the different genomic levels. In order to deepen our knowledge, it would be desirable to incorporate such inter-relationship information when integrating multi-omics data for cancer clinical outcome prediction. In this study, we propose a new graph-based framework that integrates not only multi-omics data but inter-relationship between them for better elucidating cancer clinical outcomes. In order to highlight the validity of the proposed framework, serous cystadenocarcinoma data from TCGA was adopted as a pilot task. The proposed model incorporating inter-relationship between different genomic features showed significantly improved performance compared to the model that does not consider inter-relationship when integrating multi-omics data. For the pair between miRNA and gene expression data, the model integrating miRNA, for example, gene expression, and inter-relationship between them with an AUC of 0.8476 (REI) outperformed the model combining miRNA and gene expression data with an AUC of 0.8404. Similar results were also obtained for other pairs between different levels of genomic data. Integration of different levels of data and inter-relationship between them can aid in extracting new biological knowledge by drawing an integrative conclusion from many pieces of information collected from diverse types of genomic data, eventually leading to more effective screening strategies and alternative therapies that may improve outcomes.

Biliary cystadenocarcinoma with mesenchymal stroma.

Hepatobiliary cystadenocarcinomas (BCACs) with mesenchymal stroma are a rare cystic lesion. This tumour needs to be distinguished from benign biliary cystadenoma, which is antecedent in most cases. The treatment of choice is radical excision of the mass. The diagnostic evaluation, surgical management, pathological characteristics, treatment and follow-up of one patient with hepatobiliary cystadenocarcinoma with ovarian stroma is described. Preoperative diagnosis of BCACs is often difficult, because their clinical manifestations are similar to those of other hepatic cystic lesions. MRI is suitable for accurate characterisation of cystic biliary lesions, but distinguishing between cystadenoma and cystadenocarcinoma remains difficult on the basis of imaging findings. Complete surgical excision gives a relatively good chance of long-term survival because of the slow growth rate of these tumours.

Intraoperative placement of a self-retaining Foley catheter for continuous drainage of malignant ascites.

Malignant ascites in advanced cancer is usually treated by repeated paracentesis, causing both discomfort and inconvenience to patients in the terminal stages of disease. We present a case of advanced ovarian carcinoma in which intraoperative placement of a Foley's self-retaining catheter into the peritoneal cavity was used to facilitate long-term continuous drainage of malignant ascites. This is a simple, convenient and cost-effective method which decreases the need for repeated hospital admissions. The aim complication might be peritonitis, but with proper care of the device and the use of antibiotics, this was not seen in our patient.