Is arterial infiltration still a criterion for unresectability in pancreatic adenocarcinoma?

Metabolomics Applications in Precision Medicine: An Oncological Perspective

Nowadays, cancer therapy remains limited by the conventional one-size-fits-all approach. In this context, treatment decisions are based on the clinical stage of disease but fail to ascertain the individual´s underlying biology and its role in driving malignancy. The identification of better therapies for cancer treatment is thus limited by the lack of sufficient data regarding the characterization of specific biochemical signatures associated with each particular cancer patient or group of patients. Metabolomics approaches promise a better understanding of cancer, a disease characterized by significant alterations in bioenergetic metabolism, by identifying changes in the pattern of metabolite expression in addition to changes in the concentration of individual metabolites as well as alterations in biochemical pathways. These approaches hold the potential of identifying novel biomarkers with different clinical applications, including the development of more specific diagnostic methods based on the characterization of metabolic subtypes, the monitoring of currently used cancer therapeutics to evaluate the response and the prognostic outcome with a given therapy, and the evaluation of the mechanisms involved in disease relapse and drug resistance. This review discusses metabolomics applications in different oncological processes underlining the potential of this omics approach to further advance the implementation of precision medicine in the oncology area.

Locally advanced pancreatic duct adenocarcinoma: pancreatectomy with planned arterial resection based on axial arterial encasement

Pancreatectomy with arterial resection for locally advanced pancreatic duct adenocarcinoma (PDA) is associated with high morbidity and is thus considered as a contraindication. The aim of our study was to report our experience of pancreatectomy with planned arterial resection for locally advanced PDA based on specific selection criteria.

MATERIAL AND METHODS

All patients receiving pancreatectomy for PDA between October 2008 and July 2014 were reviewed. The patients were classified into group 1, pancreatectomy without vascular resection (66 patients); group 2, pancreatectomy with isolated venous resection (31 patients), and group 3, pancreatectomy with arterial resection for locally advanced PDA (14 patients). The primary selection criteria for arterial resection was the possibility of achieving a complete resection based on the extent of axial encasement, the absence of tumor invasion at the origin of celiac trunk (CT) and superior mesenteric artery (SMA), and a free distal arterial segment allowing reconstruction. Patient outcomes and survival were analyzed.

RESULTS

Six SMA, two CT, four common hepatic artery, and two replaced right hepatic artery resections were undertaken. The preferred arterial reconstruction was splenic artery transposition. Group 3 had a higher preoperative weight loss, a longer operative time, and a higher incidence of intraoperative blood transfusion. Ninety-day mortality occurred in three patients in groups 1 and 2. There were no statistically significant differences in the incidence, grade, and type of complications in the three groups. Postoperative pancreatic fistula and postpancreatectomy hemorrhage were also comparable. In group 3, none had arterial wall invasion and nine patients had recurrence (seven metastatic and two loco-regional). Survival and disease-free survival were comparable between groups.

CONCLUSION

Planned arterial resection for PDA can be performed safely with a good outcome in highly selected patients. Key elements for defining the resectability is based on the extent of the axial arterial encasement with two criteria: the origin of the CT and SMA are free from tumor invasion and the possibility of distal reconstruction.

Metabolic tumor burden: a new promising way to reach precise personalized therapy in PDAC

Pancreatic cancer is currently one of the deadliest solid malignancies and pancreatic ductal adenocarcinoma (PDAC) is the most common type of pancreatic cancer. In the past decade, diagnostics and surgical techniques for PDAC have been evolving steadily; however, clinical outcomes of patients with PDAC have shown little, if any, improvement. Subgroup classification based on accurate prediction of prognosis in patients with pancreatic cancer is important for treatment selection and clinical decision-making. The traditional method to evaluate prognosis relies on the TNM staging system, but it may not reflect the true status of every patient due to individual biological differences. Metabolomics is a field of study that involves the identification and quantification of metabolites present in a biological system. Analysis of metabolic differences between cancerous and noncancerous tissues can provide novel insights into tumor biology that are closely associated with disease prognosis and diagnosis. Therefore, evaluation of metabolic tumor burden may improve the accuracy of the clinical decision-making process, thereby facilitating optimization of the treatment strategies for pancreatic cancer.