US researchers have developed a technique to determine which pancreatic cysts could turn malignant.
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."
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."