Suresh T Chari — Page 3

PubMed2002

Study of recurrence after surgical resection of intraductal papillary mucinous neoplasm of the pancreas.

BACKGROUND & AIMS: The aim of this study was to determine recurrence and long-term survival after resection of pancreatic intraductal papillary mucinous neoplasm and to correlate recurrence and survival with histology, extent of resection, and duration of follow-up. METHODS: A single pathologist, without knowledge of previous interpretations of histology or clinical data, retrospectively reviewed and classified 113 resected intraductal papillary mucinous neoplasms as invasive carcinoma (n = 40) or as noninvasive neoplasms (adenoma, borderline, or carcinoma in situ; n = 73). Data on recurrence (locoregional or metastatic), follow-up, and cause of death were obtained from patient records and/or by contacting patients and their physicians. RESULTS: In invasive intraductal papillary mucinous neoplasm, recurrence was similar after partial pancreatectomy (18/27; 67%) and total pancreatectomy (8/13; 62%) and occurred within 3 years of resection in 91%. Among noninvasive neoplasms, 5 of 60 (8%) recurred after partial pancreatectomy (median follow-up, 37 months); none recurred after total pancreatectomy (n = 13; median follow-up, 32 months). Recurrence after resection in noninvasive neoplasms was diagnosed after a median of 40 months (range, 23-75 months); recurrence was noninvasive in 3 and invasive cancer in 2. Five-year survival was better for noninvasive compared with invasive intraductal papillary mucinous neoplasm (84.5% vs. 36%; P < 0.001). CONCLUSIONS: Invasive intraductal papillary mucinous neoplasm recurs frequently even after a complete "curative" resection and portends poor survival. In contrast, noninvasive intraductal papillary mucinous neoplasm recurs infrequently after resection, and survival is excellent regardless of the degree of epithelial dysplasia in the tumor.

Adenocarcinoma, Mucinous↗

PubMedDate not supplied

Diagnosis of pancreatic cancer using serum proteomic profiling.

In the United States, mortality rates from pancreatic cancer (PCa) have not changed significantly over the past 50 years. This is due, in part, to the lack of early detection methods for this particularly aggressive form of cancer. The objective of this study was to use high-throughput protein profiling technology to identify biomarkers in the serum proteome for the early detection of resectable PCa. Using surface-enhanced laser desorption/ionization mass spectrometry, protein profiles were generated from sera of 49 PCa patients and 54 unaffected individuals after fractionation on an anion exchange resin. The samples were randomly divided into a training set (69 samples) and test set (34 samples), and two multivariate analysis procedures, classification and regression tree and logistic regression, were used to develop classification models from these spectral data that could distinguish PCa from control serum samples. In the test set, both models correctly classified all of the PCa patient serum samples (100% sensitivity). Using the decision tree algorithm, a specificity of 93.5% was obtained, whereas the logistic regression model produced a specificity of 100%. These results suggest that high-throughput proteomics profiling has the capacity to provide new biomarkers for the early detection and diagnosis of PCa.

Biomarkers, Tumor↗