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The proteome of postsurgical pancreatic juice.

ABSTRACT: This study aimed to evaluate the proteome of the pancreatic juice after pancreatectomy.Pancreatic juice samples were obtained during surgery and the postoperative period. Proteins were identified by mass spectrometry-based protein quantification technology and compared with published data of the nonoperated pancreas. Subgroup analyses were done in patients with pancreatic ductal adenocarcinoma (PDAC) receiving neoadjuvant chemotherapy and in smokers.Five hundred eighteen proteins were identified in the postoperative pancreatic juice, encompassing all of the main organ functions. Sixty-seven of these were also present in the published data of the nonoperated pancreas and 7 of these had significant variation of concentration after surgery. Growth factors that have been described in postsurgical regeneration of the liver were not found to be overexpressed, whereas clusterin did, confirming the finding of previous experimental studies on pancreatic regeneration. Several proteins involved in immunomodulation and organ functions were differently expressed, depending on PDAC, neoadjuvant therapy, and smoking.The proteome of the pancreas after surgical resection contains factors related to all main organ functions, changes over time, and is different in patients with PDAC receiving neoadjuvant therapy and in smokers. The pancreas reacts to the surgical trauma by producing proteins that protect the organ and stimulate the restoration of its function.

SUBMITTER: Marchegiani G

PROVIDER: S-EPMC4506756 | biostudies-other | 2015 May

REPOSITORIES: biostudies-other

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The proteome of postsurgical pancreatic juice.

Marchegiani Giovanni G Paulo Joao A JA Sahora Klaus K Fernández-Del Castillo Carlos C

Pancreas 20150501 4

<h4>Objective</h4>This study aimed to evaluate the proteome of the pancreatic juice after pancreatectomy.<h4>Methods</h4>Pancreatic juice samples were obtained during surgery and the postoperative period. Proteins were identified by mass spectrometry-based protein quantification technology and compared with published data of the nonoperated pancreas. Subgroup analyses were done in patients with pancreatic ductal adenocarcinoma (PDAC) receiving neoadjuvant chemotherapy and in smokers.<h4>Results< ...[more]

PMID: 25875796

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Project description:Background & aimsPrecursors of pancreatic cancer arise in the ductal epithelium; markers exfoliated into pancreatic juice might be used to detect high-grade dysplasia (HGD) and cancer. Specific methylated DNA sequences in pancreatic tissue have been associated with adenocarcinoma. We analyzed these methylated DNA markers (MDMs) in pancreatic juice samples from patients with pancreatic ductal adenocarcinomas (PDACs) or intraductal papillary mucinous neoplasms (IPMNs) with HGD (cases), and assessed their ability to discriminate these patients from individuals without dysplasia or with IPMNs with low-grade dysplasia (controls).MethodsWe obtained pancreatic juice samples from 38 patients (35 with biopsy-proven PDAC or pancreatic cystic lesions with invasive cancer and 3 with HGD) and 73 controls (32 with normal pancreas and 41 with benign disease), collected endoscopically from the duodenum after secretin administration from February 2015 through November 2016 at 3 medical centers. Samples were analyzed for the presence of 14 MDMs (in the genes NDRG4, BMP3, TBX15, C13orf18, PRKCB, CLEC11A, CD1D, ELMO1, IGF2BP1, RYR2, ADCY1, FER1L4, EMX1, and LRRC4), by quantitative allele-specific real-time target and signal amplification. We performed area under the receiver operating characteristic curve analyses to determine the ability of each marker, and panels of markers, to distinguish patients with HGD and cancer from controls. MDMs were combined to form a panel for detection using recursive partition trees.ResultsWe identified a group of 3 MDMs (at C13orf18, FER1L4, and BMP3) in pancreatic juice that distinguished cases from controls with an area under the receiver operating characteristic value of 0.90 (95% CI, 0.83-0.97). Using a specificity cut-off value of 86%, this group of MDMs distinguished patients with any stage of pancreatic cancer from controls with 83% sensitivity (95% CI, 66%-93%) and identified patients with stage I or II PDAC or IPMN with HGD with 80% sensitivity (95% CI, 56%-95%).ConclusionsWe identified a group of 3 MDMs in pancreatic juice that identify patients with pancreatic cancer with an area under the receiver operating characteristic value of 0.90, including patients with early stage disease or advanced precancer. These DNA methylation patterns might be included in algorithms for early detection of pancreatic cancer, especially in high-risk cohorts. Further optimization and clinical studies are needed.

Project description:Purpose: The measurement of mutations in pancreatic juice samples collected from the duodenum during endoscopic ultrasound (EUS) may improve the diagnostic evaluation of patients undergoing pancreatic surveillance. Our aim was to evaluate the accuracy of using pancreatic juice mutation concentrations to predict the presence and histologic grade of neoplasia in the pancreas.Experimental Design: Digital next-generation sequencing (NGS) of pancreatic juice DNA using a targeted 12-gene panel was performed on 67 patients undergoing pancreatic evaluation during EUS, including patients with pancreatic ductal adenocarcinoma, patients who subsequently underwent pancreatic resection for precursor lesions, patients undergoing surveillance for their familial/inherited susceptibility to pancreatic cancer, and normal pancreas disease controls.Results: Patients with pancreatic cancer or high-grade dysplasia as their highest grade lesion had significantly higher pancreatic juice mutation concentrations than all other subjects (mean/SD digital NGS score; 46.6 ± 69.7 vs. 6.2 ± 11.6, P = 0.02). Pancreatic juice mutation concentrations distinguished patients with pancreatic cancer or high-grade dysplasia in their resection specimen from all other subjects with 72.2% sensitivity and 89.4% specificity [area under the curve (AUC) = 0.872]. Mutant TP53/SMAD4 concentrations could distinguish patients with pancreatic cancer or high-grade dysplasia in their resection specimen from all other subjects with 61.1% sensitivity and 95.7% specificity (AUC = 0.819). Among 31 high-risk individuals under surveillance, 2 of the 3 individuals with most abnormal pancreatic juice mutation profiles also had the most abnormalities on pancreatic imaging.Conclusions: Pancreatic juice mutation analysis using digital NGS has potential diagnostic utility in the evaluation of patients undergoing pancreatic surveillance. Clin Cancer Res; 24(12); 2963-74. ©2018 AACRSee related commentary by Lipner and Yeh, p. 2713.

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The proteome of postsurgical pancreatic juice.

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The proteome of postsurgical pancreatic juice.

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