Working with researchers from the University of Michigan and Indiana University, Van Andel Research Institute (VARI) investigators have developed a method that could be used to predict whether pancreatic cysts are benign or are precursors to invasive cancer.
More pancreatic cysts are being detected due to the widespread use of high resolution abdominal imaging. These advances in early detection, when coupled with the new findings, could result in fewer deaths from pancreatic cancer, which struck more than 42,000 Americans in 2009 and killed more than 35,000, according to the National Cancer Institute.
“Because of the difficulty in detecting pancreatic cancer in its early stages, most cancers are advanced at the time of diagnosis and recur after removal of the tumor,” said VARI Senior Scientific Investigator Brian Haab, Ph.D., first author of a study published in the May issue of Annals of Surgery. “The best hope for a long-term cure may be the detection and removal of these pre-cancerous cysts.”
“Dr. Haab and his colleagues have sought to address a very challenging clinical management problem regarding cystic lesions of the pancreas,” said Peter J. Allen, MD, FACS, a physician and researcher specializing in pancreatic, liver, and stomach cancer at Memorial Sloan-Kettering Cancer Center. “As the use of cross-sectional imaging increases, clinicians are seeing increased numbers of patients with these lesions and it will become imperative to sort out benign from pre-malignant.”
The most common and deadly form of pancreatic cancer, pancreatic ductal adenocarcinomas, develops from three types of cysts. Although the most prevalent type is too small to be detected, the other two can be found using CT or ultrasound imaging and account for 10 – 15% of pancreatic cancers. However, current methods can only distinguish pre-cancerous cysts from those that are benign with up to 79% accuracy.
Using fluid from a variety of cyst types, researchers looked for patterns in the variations of carbohydrate structures called glycans to determine if there were any biomarkers that could more accurately distinguish between pre-cancerous and benign cysts. They found several candidates, some of which could be used in combination to determine cyst type.
“Further study will be needed to validate the clinical value of using glycan variations to differentiate cyst types, but it seems like they are more accurate than current methods,” said Dr. Haab.
“(Dr. Haab’s) identification of variants of MUC-1, MUC-5AC, and MUC-16 (genes) within the cyst fluid of pre-malignant lesions is exciting as our current ability to non-operatively define these lesions is limited,” said Dr. Allen. “Hopefully with larger numbers of patients these results can be validated and be put into clinical use.”
On the home page: snapshot from analysis tool used by researchers in the study
The researchers gratefully acknowledge support of this work by the National Institutes of Health (NCI R21 CA122890 and R33 CA122890 to B.B.H.; 1 R03 CA 112629-01A1 to C.M.S.; UO1 1CA117452), the Van Andel Research Institute, and University of Michigan Comprehensive Cancer Center. The contents of the study Glycosylation Variants of Mucins and CEACAMs As Candidate Biomarkers for the Diagnosis of Pancreatic Cystic Neoplasms are solely the responsibility of the authors and do not necessarily represent the official views of the National Institutes of Health or the National Cancer Institute.)About Van Andel Institute
Joe Gavan | EurekAlert!
Second cause of hidden hearing loss identified
20.02.2017 | Michigan Medicine - University of Michigan
Prospect for more effective treatment of nerve pain
20.02.2017 | Universität Zürich
Cells need to repair damaged DNA in our genes to prevent the development of cancer and other diseases. Our cells therefore activate and send “repair-proteins”...
The Fraunhofer IWS Dresden and Technische Universität Dresden inaugurated their jointly operated Center for Additive Manufacturing Dresden (AMCD) with a festive ceremony on February 7, 2017. Scientists from various disciplines perform research on materials, additive manufacturing processes and innovative technologies, which build up components in a layer by layer process. This technology opens up new horizons for component design and combinations of functions. For example during fabrication, electrical conductors and sensors are already able to be additively manufactured into components. They provide information about stress conditions of a product during operation.
The 3D-printing technology, or additive manufacturing as it is often called, has long made the step out of scientific research laboratories into industrial...
Nature does amazing things with limited design materials. Grass, for example, can support its own weight, resist strong wind loads, and recover after being...
Nanometer-scale magnetic perforated grids could create new possibilities for computing. Together with international colleagues, scientists from the Helmholtz Zentrum Dresden-Rossendorf (HZDR) have shown how a cobalt grid can be reliably programmed at room temperature. In addition they discovered that for every hole ("antidot") three magnetic states can be configured. The results have been published in the journal "Scientific Reports".
Physicist Dr. Rantej Bali from the HZDR, together with scientists from Singapore and Australia, designed a special grid structure in a thin layer of cobalt in...
13.02.2017 | Event News
10.02.2017 | Event News
09.02.2017 | Event News
20.02.2017 | Materials Sciences
20.02.2017 | Health and Medicine
20.02.2017 | Health and Medicine