Literature DB >> 24956938

MicroRNA-196a and -196b as Potential Biomarkers for the Early Detection of Familial Pancreatic Cancer.

Emily P Slater1, Konstantin Strauch2, Susanne Rospleszcz2, Annette Ramaswamy3, Irene Esposito4, Günter Klöppel4, Elvira Matthäi5, Kristin Heeger5, Volker Fendrich5, Peter Langer5, Detlef K Bartsch5.   

Abstract

Screening programs are recommended for individuals at risk (IAR) from families with familial pancreatic cancer (FPC). However, reliable imaging methods or biomarkers for early diagnosis of pancreatic ductal adenocarcinoma (PC) or its precursor lesions are still lacking. The ability of circulating microRNAs (miRNAs) to discriminate multifocal high-grade precursor lesions or PC from normal was examined. The presence of miRNA-21, -155, -196a, -196b and -210 was analyzed in the serum of transgenic KPC mice to test their ability to distinguish mice with different grades of pancreatic intraepithelial neoplasia (mPanIN1-3) or PC from control mice. Serum levels of miR-196a and -196b were significantly higher in mice with PanIN2/3 lesions (n = 10) or PC (n = 8) as compared to control mice (n = 10) or mice with PanIN1 lesions (n = 10; P = .01). In humans, miR-196a and -196b were also diagnostic. Patients with PC, sporadic (n = 9) or hereditary (n = 10), and IAR with multifocal PanIN2/3 lesions (n = 5) had significantly higher serum levels than patients with neuroendocrine pancreatic tumors (n = 10) or chronic pancreatitis (n = 10), IAR with PanIN1 or no PanIN lesions (n = 5), and healthy controls (n = 10). The combination of both miR-196a and -196b reached a sensitivity of 1 and specificity of 0.9 (area under the curve = 0.99) to diagnose PC or high-grade PanIN lesions. In addition, preoperative elevated serum levels of miR-196a and -196b in patients with PC or multifocal PanIN2/3 lesions dropped to normal after potential curative resection. The combination of miR-196a and -196b may be a promising biomarker test for the screening of IAR for FPC.
Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2014        PMID: 24956938      PMCID: PMC4202799          DOI: 10.1016/j.tranon.2014.05.007

Source DB:  PubMed          Journal:  Transl Oncol        ISSN: 1936-5233            Impact factor:   4.243


Introduction

Pancreatic ductal adenocarcinoma (PC) is a highly malignant tumor that has a poor prognosis because of the lack of early symptoms. Familial pancreatic cancer (FPC) accounts for about 3% of all PC cases [1], [2]. Families with at least two first-degree relatives with confirmed PC that do not fulfill the criteria of other inherited tumor syndromes with an increased risk for the development of PC, such as Peutz–Jeghers syndrome or hereditary pancreatitis, are defined as FPC [3], [4]. The major underlying gene defect(s) of FPC has not yet been identified, but causative BRCA2, PALB2, CDKN2a, and ATM germline mutations were identified in about 10% to 15% of the FPC families [4], [5], [6], [7], [8], [9]. It has been recommended by a recent consensus conference that individuals at risk (IAR) of FPC families should undergo PC screening under research protocol conditions [3]. Individuals with at least a 5- to 10-fold increased risk of PC, such as members of FPC families with two or more affected first-degree relatives, are considered to be candidates for screening. Most experts currently consider magnetic resonance imaging (MRI) and endoscopic ultrasonography to be the best imaging modalities for FPC screening [4]. Unfortunately, these imaging tools are not able to reliably visualize early PC or, even more important, its high-grade precursor lesions, i.e., pancreatic intraepithelial neoplasia grade 3 (PanIN3). Thus, there is a definite need for biomarkers to facilitate screening of IAR in the setting of FPC to identify those individuals with high-grade PanINs before the development of invasive carcinoma that could allow for a curative resection. Familial as well as sporadic PCs are characterized by a progression from low-grade PanINs (PanIN1) over carcinoma in situ (PanIN3) to invasive cancer. The majority of pancreatic specimens of resected FPC individuals reveal multifocal PanIN disease in addition to small intraductal papillary mucinous neoplasms (IPMNs) of branch duct/gastric type [10], [11], [12], [13]. Branch-duct IPMNs might be a surrogate marker for the presence of high-grade PanIN lesions in other locations of the gland in the FPC setting [14]. The stepwise progression from PanIN to invasive PC comprises activating mutations of the Kras oncogene and inactivation of the ARF-p53 tumor suppressor pathway in the great majority of cases [15]. Nowadays, genetically engineered mouse models of PC that closely recapitulate the histopathogenesis and progression of the human disease are available. These include the LSL-Kras;Pdx1-Cre (KC) mice that progress up to PanIN3 lesions and the LSL-Kras;LSL-Trp53;Pdx1-Cre (KPC) mice that develop PanIN lesions and ultimately invasive carcinoma at 5 to 10 months [16], [17], [18]. These mouse models are considered an adequate tool for the study of biomarkers [16], [17], especially given the lack of FPC patients with preoperative, well-defined high-grade PanIN lesions. MicroRNAs (miRNAs) are small non-coding molecules, which have an important function in regulating RNA stability and gene expression. The deregulation of miRNAs has been linked to cancer development and tumor progression [19]. Recently, it has been reported that serum contains sufficiently stable miRNA species that might deem useful as non-invasive biomarkers for several cancers, including pancreatic cancer [20], [21], [22]. Thus, the aim of the present study was to evaluate a panel of miRNAs as potential biomarkers for PC screening in IAR of FPC families.

Materials and Methods

miRNA Selection

miRNAs overexpressed in serum samples or specimens of human or murine PC were compiled by searching the PubMed and MEDLINE databases for articles published from 1 January 1990 to 31 July 2011. The search terms “miRNA,” “microRNA,” “pancreatic cancer” or “familial pancreatic cancer” and “protein markers” or “biomarker,” or “early detection,” or “diagnostic test” were used. A second-level manual search included the reference list of the articles considered to be of interest. The literature search and study selection were performed by two authors (D.K.B. and E.P.S.).

Transgenic KPC Mouse Samples

Conditional LSL-Trp53;LSL-Kras and Pdx1-Cre [17] strains were interbred to obtain LSL-Kras;LSL-Trp53;Pdx1-Cre (KPC) triple mutant animals on a mixed 129/SvJae/C57Bl/6 background as described previously by our group [18]. The time span for the development of different PanINs is well established in these mice. KPC mice develop PanIN2/3 lesions after 3 to 4 months and invasive cancer after 5 months. The generation of RIP1-Tag2 mice as a model of pancreatic islet cell carcinogenesis has been previously reported [23]. All experiments were approved by the local committee for animal care and use. Animals were maintained in a climate-controlled room kept at 22°C, exposed to a 12:12-hour light-dark cycle, fed standard laboratory chow, and given water ad libitum. For genotyping, genomic DNA was extracted from tail cuttings using the REDExtract-N-Amp Tissue PCR Kit (Sigma-Aldrich, St Louis, MO). Three polymerase chain reactions (PCRs) were carried out for each animal to test for the presence of the oncogenic Kras (using LoxP) primers, p53, and Pdx1-Cre transgene constructs (using Cre-specific primers), respectively. SV40-Tag specific primers were used for the genotyping of the RIP1-Tag2 mice. Mice were killed, blood was collected from the thoracic cavity for serum, and the pancreas was removed and inspected for grossly visible tumors and preserved in 10% formalin solution (Sigma-Aldrich) for histology. Formalin-fixed, paraffin-embedded tissues were sectioned (4 μm) and stained with hematoxylin and eosin. Six sections (100 μm apart) of pancreatic tissues were histologically evaluated by an experienced pathologist (A.R.) blinded to the experimental groups. mPanIN lesions were classified according to histopathologic criteria as recommended previously [18].

Human Samples

Preoperative serum samples of patients with histologically proven sporadic PC, familial PC, chronic pancreatitis (CP), and pancreatic neuroendocrine neoplasms (pNENs) were obtained from the tissue bank of the Department of Surgery, Philipps University of Marburg (Marburg, Germany) and analyzed for the presence and expression level of miR-196a and -196b. All tumors were histologically staged according to the Union Internationale Contre le Cancer/Tumor, Node, Metastasis (UICC-TNM) classification 2009 [24]. Serum and blood samples of 10 voluntary healthy individuals, 3 males and 7 females, 25 to 50 years of age, served as controls. In addition, preoperative and early postoperative serum samples of patients with potentially curative resected PC and IAR of FPC families who either underwent total pancreatectomy or partial pancreatic resection for suspicious imaging lesions were also analyzed for miR-196a and -196b. In IAR who underwent pancreatectomy, the entire resection specimen was cut into 5-mm sections and analyzed for the presence of PanINs, IPMNs, and invasive cancer by experienced pathologists (I.E. and G.K.). Informed written consent was obtained from every individual who participated in the study according to the ethics committee vote of the Philipps University of Marburg (No. 36/1997; Amendment 5/2009).

RNA Isolation and Real-Time PCR

Total RNA was extracted from mouse serum using mirVana PARIS kit (Ambion 1556; 100 μl) according to the manufacturer’s instructions. The PAXgene system (Becton Dickinson, Heidelberg, Germany) was used to isolate total RNA, including miRNA from human blood samples using the miRNeasy kit again according to the manufacturer’s instructions. Real-time PCR was performed in triplicate. miRNAs were amplified after specific reverse transcription using TaqMan microRNA assays and TaqMan MicroRNA Reverse Transcription Kit (Applied Biosystems, Darmstadt, Germany) according to the manufacturer’s instructions (Applied Biosystems, Darmstadt, Germany) and normalized against miR-24 as previously described [25]. These authors recently confirmed the validity of using miR-24 as it is ubiquitously expressed in normal and pancreatic tissues [26]. Relative expression was determined using the ∆∆Ct method and a Ct value > 35 indicated negative amplification.

Statistical Analysis

To assess whether the levels of the tested miRNAs in the murine PanIN and carcinoma samples were significantly different from the levels in the control samples, a Wilcoxon signed rank test was used. A P value < .05 was considered statistically significant. A logistic regression model was set up to determine the effect of the respective miRNAs on the affection status of a subject. Additionally, a model including the combination of miRNAs was calculated. To evaluate the ability of an miRNA to distinguish pairwise between PanIN, carcinoma, and control samples, true-positive rates (sensitivity) and true-negative rates (specificity) were determined by the calculation of a receiver operating characteristic (ROC) curve. The area under the curve (AUC) served as an additional performance index. For analysis of miR-196a and -196b expression in human samples, the Wilcoxon signed rank test as well as logistic regression modeling was applied. The resulting predicted probabilities of being affected were analyzed again by the calculation of an ROC curve and the determination of sensitivity, specificity, and AUC. All steps were conducted with R version 2.13.1. A cutoff value for a range of fold change that indicates the presence of high-grade PanIN (2 or 3) and/or PC was calculated.

Results

The literature search revealed a potential association between miRNAs (miR-21, -155, -196a, -196b, and -210) and pancreatic cancer or high-grade PanIN lesions [27], [28], [29], [30], [31], [32], [33]; thus, these miRNAs were evaluated. Although all five miRNAs could be detected in the serum of the analyzed KPC mice, miR-21, -155, and -210 did not discriminate between controls, PanINs, and PC (data not shown). miR-21 levels were already increased in mice with low-grade PanIN1 and there was no greater than a two-fold increase in expression levels of miR-155 and miR-210 in the KPC mice with PC as compared to controls (data not shown). Thus, these miRNAs were excluded from further analysis. Using miR-24 as a reference and wild-type mice (n = 10) as control, we were able to consistently measure significantly increased levels of miR-196a and -196b in the serum of mice with multifocal PanIN2/3 lesions (n = 10) and mice with invasive PC (n = 8) (Figure 1 and Table 1).
Figure 1

Histologic sections stained with hematoxylin and eosin from wild-type (A) and KPC mice with PanIN2/3 lesions (B) and invasive carcinoma (C). Scatter plot showing the results from TaqMan analyses of miR-196a (D) and miR-196b (E) in mouse serum. Results are expressed as the cycle threshold difference between miR-196a, or miR-196b, and miR-24 in the experimental animal compared to that of wild type. Control represents samples from wild-type mice, PanIN are the KPC mice with histologically proven PanIN2/3 lesions, and carcinoma are KPC mice presenting with invasive carcinoma. The values obtained with PanIN1 and mice with pancreatic endocrine tumors did not vary from control values.

Table 1

Results of TaqMan Analyses in Mice

NMedian Fold ChangeRangeP versus Control
T testWilcoxon Test
miR-196a
Mouse
 Control10
 PanIN1101.01-1.21.0.85
 PanIN2/3102.41-6.03*.05
 Carcinoma82.71.5-20≤ .01*<.01*
 Endocrine tumor41.21-1.51.0.85
miR-196b
Mouse
 Control10
 PanIN1101.01-1.31.01.0
 PanIN2/3104.32.1-30≤ .01*≤ .01*
 Carcinoma83.61.5-8.8≤ .01*.02*
 Endocrine tumor41.31-1.51.01.0

*Statistically significant as compared to control.

Histologic sections stained with hematoxylin and eosin from wild-type (A) and KPC mice with PanIN2/3 lesions (B) and invasive carcinoma (C). Scatter plot showing the results from TaqMan analyses of miR-196a (D) and miR-196b (E) in mouse serum. Results are expressed as the cycle threshold difference between miR-196a, or miR-196b, and miR-24 in the experimental animal compared to that of wild type. Control represents samples from wild-type mice, PanIN are the KPC mice with histologically proven PanIN2/3 lesions, and carcinoma are KPC mice presenting with invasive carcinoma. The values obtained with PanIN1 and mice with pancreatic endocrine tumors did not vary from control values. Results of TaqMan Analyses in Mice *Statistically significant as compared to control. The levels of miR-196a were similar between control mice (n = 10) and KPC mice with PanIN1 lesions (n = 10) or endocrine tumors (n = 4). In contrast, mice with PanIN2/3 lesions had a median fold change of 2.7 above control/PanIN1 and mice with PC revealed a median fold change of 3.0 compared to controls and mice with PanIN1 lesions, which were both statistically significant (P = .03 and P < .01, Table 1). miR-196a had a sensitivity and a specificity of 0.9 and 0.78 for the discrimination between normal and PanIN2/3 and 0.9 and 1 for the discrimination between normal and PC, respectively. The levels of miR-196b were also similar between control mice (n = 10) and KPC mice with PanIN1 lesions (n = 10) or endocrine tumors (n = 4). The mice with multifocal PanIN2/3 lesions (n = 10) and invasive carcinoma (n = 8) had a median fold change in the serum levels of miR-196b of 4.2-fold and 3.6-fold compared to normal controls and mice with PanIN1 lesions (Figure 1 and Table 1). The calculated sensitivity and specificity for miR-196b was 0.86 and 1 for the discrimination between control and PanIN2/3 lesions and 0.86 and 0.86 for the discrimination between control and invasive cancer. The combination of both miR-196a and miR-196b attained a perfect discrimination between control and PanIN2/3 with a sensitivity and a specificity of 1. Two of the 15 samples with PanIN2/3 lesions did not have elevated miR-196a levels (cycle threshold difference values: 0.022, 1.2), but both samples revealed raised miR-196b levels (cycle threshold difference values: − 2.02, − 1.2; Figure 1, D and E). For the discrimination between normal control and invasive PC, a sensitivity of 0.86 and a specificity of 1 were calculated. Since the levels of miR-196a and miR-196b are potential diagnostic serum markers for high-grade PanIN lesions and invasive PC, we next evaluated the presence of miR-196a and -196b in human blood samples. These included samples from patients with sporadic PC (n = 9, 2 stage I, 6 stage II, and 1 stage IV), familial PC (n = 10, 1 stage II, 9 stage IV), CP (n = 10), pNENs (n = 10), IAR with histologically proven multifocal PanIN2/3 lesions (n = 5), IAR with PanIN1 or no PanIN lesions upon histopathology (n = 5), and healthy subjects (n = 10) as controls. Again, the serum levels of miR-196a and miR-196b were significantly higher in patients with sporadic and familial PC and IAR with multifocal PanIN2/3 lesions than in patients with pNENs, CP, and PanIN1 lesions and healthy controls (Figure 2 and Table 2). miRNA levels were highest (up to 46-fold) in patients with metastasized PC stage IV (n = 10). miR-196a had a sensitivity of 1 and a specificity of 0.6 (AUC = 0.64) for the discrimination between normal and PanIN2/3 (Figure 3), as well as 0.9 and 0.89 (AUC = 0.97) for the discrimination between normal and PC, respectively. miR-196b had a sensitivity and a specificity of 1 each (AUC = 1.0) for the discrimination between normal and PanIN2/3 (Figure 3) and a sensitivity of 1 and a specificity of 0.78 (AUC = 0.86) for the discrimination between normal and PC. The combination of both miR-196a and miR-196b attained the best discrimination between control and either multifocal PanIN2/3 (a sensitivity of 1 and a specificity of 1) or sporadic invasive PC (a sensitivity of 1 and a specificity of 1). The results of miR-196a and -196b ROC curves are presented in Table 2. A ∆Ct value of 7.51 for miR-196a and a ∆Ct value of 6.35 for miR-196b were calculated as cutoff values that indicate the presence of high-grade PanIN2/3 lesions or PC.
Figure 2

Scatter plot showing the results from TaqMan analyses of miR-196a (A) and miR-196b (B) in samples of patients with FPC, sporadic PC, CP, and pNENs, IAR with multifocal PanIN2/3 lesions, IAR with PanIN1 lesions, and healthy controls. Results are expressed as the cycle threshold difference between miR-196a or miR-196b and miR-24 in the patient’s blood compared to that of control.

Table 2

ROC Curve Analyses of miR-196a and -196b in Human Blood Samples

HumanmiR-196amiR-196bmiR-196a/b
Con-PanIN2/3Sensitivity1.001.001.00
Specificity0.601.001.00
AUC0.641.001.00
Cutoff*7.516.357.51/6.35
Con-spPCSensitivity0.901.001.00
Specificity0.890.781.00
AUC0.970.861.00
Cutoff7.966.357.51/8.01
Con-FPCSensitivity0.901.001.00
Specificity1.001.001.00
AUC0.991.001.00
Cutoff7.966.357.96/6.35
Con-CPSensitivity0.900.891.00
Specificity1.001.001.00
AUC0.960.961.00
Cutoff7.966.878.84/6.87
CP-PanIN2/3Sensitivity1.000.780.89
Specificity0.601.001.00
AUC0.600.910.955
Cutoff7.095.907.09/5.76
CP-spPCSensitivity1.000.891.00
Specificity0.780.670.78
AUC0.830.700.90
Cutoff7.095.767.41/4.83
CP-FPCSensitivity1.000.891.00
Specificity0.901.000.90
AUC0.910.960.99
Cutoff7.095.767.41/4.83

*Cutoff is expressed in ∆Ct for the corresponding miRNA; a perfect discrimination (AUC = 1.00) is highlighted in bold; PanIN1 and endocrine tumor values versus control values showed no significant differences and are not presented here.

con, control; spPC, sporadic pancreatic carcinoma.

Figure 3

Serum miR-196a (A) and miR-196b (B) from preoperative IAR with multifocal PanIN2/3 lesions compared to healthy controls yielded ROC curves with AUC values of 64% and 100%, respectively.

Scatter plot showing the results from TaqMan analyses of miR-196a (A) and miR-196b (B) in samples of patients with FPC, sporadic PC, CP, and pNENs, IAR with multifocal PanIN2/3 lesions, IAR with PanIN1 lesions, and healthy controls. Results are expressed as the cycle threshold difference between miR-196a or miR-196b and miR-24 in the patient’s blood compared to that of control. Serum miR-196a (A) and miR-196b (B) from preoperative IAR with multifocal PanIN2/3 lesions compared to healthy controls yielded ROC curves with AUC values of 64% and 100%, respectively. ROC Curve Analyses of miR-196a and -196b in Human Blood Samples *Cutoff is expressed in ∆Ct for the corresponding miRNA; a perfect discrimination (AUC = 1.00) is highlighted in bold; PanIN1 and endocrine tumor values versus control values showed no significant differences and are not presented here. con, control; spPC, sporadic pancreatic carcinoma. Interestingly, in nine PC patients with available preoperative and early postoperative serum samples, the preoperative elevated miR-196a and miR-196b dropped to the normal range after potential curative resection. The same was true for the five IAR with multifocal PanIN2/3 lesions (Figure 4, A and B).
Figure 4

Scatter plot showing the results from TaqMan analyses of miR-196a (A) and miR-196b (B) in serum samples from patients both before and after resection of PC or multifocal PanIN2/3 lesions. Results are expressed as the cycle threshold difference between miR-196a or miR-196b and miR-24 in the patient’s blood compared to that of control.

Scatter plot showing the results from TaqMan analyses of miR-196a (A) and miR-196b (B) in serum samples from patients both before and after resection of PC or multifocal PanIN2/3 lesions. Results are expressed as the cycle threshold difference between miR-196a or miR-196b and miR-24 in the patient’s blood compared to that of control.

Discussion

Consensus statements recommend screening IAR of FPC families with endoscopic ultrasonography and MRI, as these are considered to be the best imaging modalities [12], [34]. However, these tools often fail to reliably detect high-grade lesions (PanIN3) and early PC. In addition, up to 40% of IAR show small cystic lesions on imaging that might represent small branch-duct type IPMNs [34]. It was suggested that these lesions are a surrogate for the presence of non-visible, high-grade PanIN lesions somewhere else in the pancreas of the IAR [14]. Thus, biomarkers that reliably indicate the presence of high-grade PanIN or early PC lesions would be of great value for the screening of IAR in the setting of FPC and could lead to curative resection. Several miRNAs can potentially serve as such biomarkers as these are reported to be upregulated in PC [27], PanINs [35], and IPMNs [28]. A recent meta-analysis of nine studies, including four with serum analysis, evaluating 20 miRNAs in 941 patients with PC calculated a pooled sensitivity of 0.89, a specificity of 0.93, and an AUC of 0.97 for the diagnosis of PC [36]. However, high-grade precursor PanIN lesions, which are the main targets of pancreatic cancer screening in IAR of FPC families, were not analyzed in this study. Thus, the present study focused on the identification of miRNAs that allows the detection of high-grade PanINs and early PC (T1 tumors) with high sensitivity and specificity. The optimal miRNA assay for routine clinical use in FPC screening should ideally consist of a small set of miRNAs that provides quick and reproducible results. Therefore, the presented study was focused on a small panel of five miRNAs (miR-21, -155, -196a, -196b, and -210). To ensure the investigation of properly characterized PanIN stages, the KPC mouse model mimicking the progression of PC was first used to test the five miRNAs for their diagnostic potential. All five tested miRNAs could be reproducibly detected in the serum of these animals. The important new finding of the present study is that only serum miR-196a and -196b proved to be promising in the ability to distinguish mice with high-grade PanIN lesions or PC from wild-type mice and KPC mice with no or low-grade PanIN lesions. The combination of both miRNAs reached a sensitivity and a specificity of 1 for the discrimination between control/PanIN1 and PanIN2/3 and a sensitivity of 0.86 and a specificity of 1 for the discrimination between control/PanIN1 and invasive PC. The diagnostic value also held true in human serum samples, because serum miR-196a and -196b expression revealed remarkable similarities between murine and human samples. Again, the serum levels of miR-196a and miR-196b were significantly higher in patients with PC and most importantly in IAR with multifocal PanIN2/3 lesions than in patients with pNENs and CP, IAR with none or PanIN1 lesions, and healthy controls, respectively. The combination of both miR-196a and miR-196b attained the best discrimination between control/PanIN1 and invasive PC (a sensitivity of 1 and a specificity of 1) as well as between control/PanIN1 and PanIN2/3 (a sensitivity of 1 and a specificity of 1). The presented findings are supported by previous reports. Significantly, a study on laser-dissected human PanIN lesions revealed miR-196b as the most selectively differentially expressed miRNA in PanIN3 lesions [35]. In addition, Liu et al. reported that serum levels of miR-196a were significantly higher in PC patients than in healthy controls, although the combination of miR-16, miR-196a, and CA19-9 was most effective for the PC diagnosis [37]. However, the present study shows for the first time based on well-defined PanIN lesions in the KPC mouse model that miRNA-196a/b might also be promising serum markers to detect high-grade PanIN lesions in IAR of FPC families. This is also supported by the fact that preoperatively elevated miR-196a and -196b levels in patients with PC as well as IAR with multifocal, non-imageable PanIN2/3 lesions dropped to normal values after potentially curative pancreatic resection. This provides strong evidence for the hypothesis that the diseased organ was the true cause of the overexpressed miR-196a and -196b levels. As available imaging methods alone are not sufficient for the diagnosis of high-grade PanIN precursor lesions in IAR, they might be complemented by the results of biomarkers miRNA-196a/b to make a decision for further surveillance or surgery. According to a large-scale microarray analysis, no single miRNA, including miR-196a and miR-196b, was able to reliably discriminate between PC and CP in serum samples [38]. In the present study, the combination of miR-196a and -196b reached a sensitivity of 0.89 and a specificity of 1.0 with an AUC of 0.96 for the discrimination between CP and multifocal PanIN2/3. However, this reduced sensitivity is of minor importance in the setting of FPC, because individuals with FPC usually do not present with the phenotype of CP. In contrast to miR-196a and -196b, miR-21, -155, and -210 could not discriminate between mice with high-grade PanIN or PC lesions and low-grade PanIN lesions or even wild-type mice. miRNA-21 already showed significant overexpression in low-grade murine PanIN 1 lesions, as reported previously [39], [40]. In the study of LaConti et al., miR-21 levels were even higher in PanIN1 than in PanIN2/3 lesions [40]. Because the major goal of FPC screening is the identification of high-grade PanIN lesions, miR-21 was considered not to be useful for further analysis in the present study. In the present study, there was no greater than a two-fold increase in serum levels of miR-155 in the KPC mice with PC as compared to controls and mice with PanIN1 lesions. This is in line with the study of LaConti et al. who reported an up-regulation of miR-155 in murine and human PC of at most two- to three-fold [40]. In another study of human laser-dissected PanIN lesions, miR-155 was also not significantly overexpressed in PanIN3 lesions, which is the most important lesion to identify in IAR undergoing PC screening. Ho et al. reported in a small-scale study of 22 PC patients and 25 controls that miR-210 was reliably detected and quantified in serum samples with a statistically significant four-fold increase in expression in PC patients compared with normal controls (P < .0001)[31]. In the present study, however, there was no greater than a two-fold increase in expression of miR-210 in the KPC mice with PC as compared to controls and mice with PanIN1 lesions. This is in line with the results of previous miRNA microarray analyses of human blood and tissue samples [37] and microdissected PanIN lesions [35], in which no significant overexpression of miR-210 was detected. Thus, miR-210 is not useful for the FPC screening. The present study has several limitations. First, the number of human samples is small, such that no definitive conclusion can be drawn. However, tissue and blood samples from IAR who underwent pancreatectomy and meticulous pathologic analysis are extremely rare. It would take years to accumulate significant numbers of samples from IAR with histologically proven PanIN2/3 lesions, even in a multicenter study. Nevertheless, the detected significance is strong underscoring the strengths of the finding. Second, neither the murine nor the human samples originated from living beings with pure PanIN2 or PanIN3 lesions, so that we could not determine, whether or to which extent miR-196a and -196b were exclusively expressed by either PanIN2 or PanIN3 lesions. Third, meanwhile other promising miRNAs such as miR-221, miR-27a-3p, miR-10b, and RNU2-1f were reported [41], [42], [43], [44], [45] that might also have potential value for the diagnosis of PC. However, there are no studies yet that analyzed their discriminatory potential between patients with different PanIN lesions and invasive cancer. In summary, the present study provides first evidence that miR-196a and -196b might be promising biomarkers for the detection of multifocal high-grade PanIN lesions and PC in IAR of FPC families. These results should be validated in larger controlled trials. If confirmed, these biomarkers could supplement imaging for an adequate timing of a curative pancreatic resection in IAR of FPC families.
  44 in total

1.  Advances in counselling and surveillance of patients at risk for pancreatic cancer.

Authors:  Randall E Brand; Markus M Lerch; Wendy S Rubinstein; John P Neoptolemos; David C Whitcomb; Ralph H Hruban; Teresa A Brentnall; Henry T Lynch; Marcia I Canto
Journal:  Gut       Date:  2007-10       Impact factor: 23.059

2.  Origin of pancreatic ductal adenocarcinoma from atypical flat lesions: a comparative study in transgenic mice and human tissues.

Authors:  Michaela Aichler; Christopher Seiler; Monica Tost; Jens Siveke; Pawel K Mazur; Patricia Da Silva-Buttkus; Detlef K Bartsch; Peter Langer; Sara Chiblak; Anna Dürr; Heinz Höfler; Günter Klöppel; Karin Müller-Decker; Markus Brielmeier; Irene Esposito
Journal:  J Pathol       Date:  2012-01-17       Impact factor: 7.996

Review 3.  New biomarkers and targets in pancreatic cancer and their application to treatment.

Authors:  Eithne Costello; William Greenhalf; John P Neoptolemos
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2012-06-26       Impact factor: 46.802

4.  PALB2 mutations in European familial pancreatic cancer families.

Authors:  E P Slater; P Langer; E Niemczyk; K Strauch; J Butler; N Habbe; J P Neoptolemos; W Greenhalf; D K Bartsch
Journal:  Clin Genet       Date:  2010-11       Impact factor: 4.438

Review 5.  Pancreatic intraepithelial neoplasia revisited and updated.

Authors:  B Sipos; S Frank; T Gress; S Hahn; G Klöppel
Journal:  Pancreatology       Date:  2008-12-12       Impact factor: 3.996

6.  MicroRNA expression patterns to differentiate pancreatic adenocarcinoma from normal pancreas and chronic pancreatitis.

Authors:  Mark Bloomston; Wendy L Frankel; Fabio Petrocca; Stefano Volinia; Hansjuerg Alder; John P Hagan; Chang-Gong Liu; Darshna Bhatt; Cristian Taccioli; Carlo M Croce
Journal:  JAMA       Date:  2007-05-02       Impact factor: 56.272

7.  MicroRNA-21 is induced early in pancreatic ductal adenocarcinoma precursor lesions.

Authors:  Maël Chalret du Rieu; Jérôme Torrisani; Janick Selves; Talal Al Saati; Anny Souque; Marlène Dufresne; Gregory J Tsongalis; Arief A Suriawinata; Nicolas Carrère; Louis Buscail; Pierre Cordelier
Journal:  Clin Chem       Date:  2010-01-21       Impact factor: 8.327

8.  Five years of prospective screening of high-risk individuals from families with familial pancreatic cancer.

Authors:  P Langer; P H Kann; V Fendrich; N Habbe; M Schneider; M Sina; E P Slater; J T Heverhagen; T M Gress; M Rothmund; D K Bartsch
Journal:  Gut       Date:  2009-05-25       Impact factor: 23.059

9.  Multiple small "imaging" branch-duct type intraductal papillary mucinous neoplasms (IPMNs) in familial pancreatic cancer: indicator for concomitant high grade pancreatic intraepithelial neoplasia?

Authors:  D K Bartsch; K Dietzel; M Bargello; E Matthaei; G Kloeppel; I Esposito; J T Heverhagen; T M Gress; E P Slater; P Langer
Journal:  Fam Cancer       Date:  2013-03       Impact factor: 2.375

10.  Diagnosis of pancreatic ductal adenocarcinoma and chronic pancreatitis by measurement of microRNA abundance in blood and tissue.

Authors:  Andrea S Bauer; Andreas Keller; Eithne Costello; William Greenhalf; Melanie Bier; Anne Borries; Markus Beier; John Neoptolemos; Markus Büchler; Jens Werner; Nathalia Giese; Jörg D Hoheisel
Journal:  PLoS One       Date:  2012-04-12       Impact factor: 3.240

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  34 in total

Review 1.  Liquid biopsy in patients with pancreatic cancer: Circulating tumor cells and cell-free nucleic acids.

Authors:  Taisuke Imamura; Shuhei Komatsu; Daisuke Ichikawa; Tsutomu Kawaguchi; Mahito Miyamae; Wataru Okajima; Takuma Ohashi; Tomohiro Arita; Hirotaka Konishi; Atsushi Shiozaki; Ryo Morimura; Hisashi Ikoma; Kazuma Okamoto; Eigo Otsuji
Journal:  World J Gastroenterol       Date:  2016-07-07       Impact factor: 5.742

Review 2.  Clinical implications of miRNAs in the pathogenesis, diagnosis and therapy of pancreatic cancer.

Authors:  Satyanarayana Rachagani; Muzafar A Macha; Nicholas Heimann; Parthasarathy Seshacharyulu; Dhanya Haridas; Seema Chugh; Surinder K Batra
Journal:  Adv Drug Deliv Rev       Date:  2014-10-23       Impact factor: 15.470

3.  Diagnosis of Pancreatic Cancer Using miRNA30e Biosensor.

Authors:  Namita Sharma; Sudha Srivastava
Journal:  Interdiscip Sci       Date:  2022-07-03       Impact factor: 3.492

Review 4.  Circulating RNAs as new biomarkers for detecting pancreatic cancer.

Authors:  Takahiro Kishikawa; Motoyuki Otsuka; Motoko Ohno; Takeshi Yoshikawa; Akemi Takata; Kazuhiko Koike
Journal:  World J Gastroenterol       Date:  2015-07-28       Impact factor: 5.742

Review 5.  MicroRNA in pancreatic ductal adenocarcinoma and its precursor lesions.

Authors:  Yasmin G Hernandez; Aimee L Lucas
Journal:  World J Gastrointest Oncol       Date:  2016-01-15

6.  Methods and outcomes of screening for pancreatic adenocarcinoma in high-risk individuals.

Authors:  Gabriele Capurso; Marianna Signoretti; Roberto Valente; Urban Arnelo; Matthias Lohr; Jan-Werner Poley; Gianfranco Delle Fave; Marco Del Chiaro
Journal:  World J Gastrointest Endosc       Date:  2015-07-25

Review 7.  Circulating biomarkers for early diagnosis of pancreatic cancer: facts and hopes.

Authors:  Xu Zhang; Si Shi; Bo Zhang; Quanxing Ni; Xianjun Yu; Jin Xu
Journal:  Am J Cancer Res       Date:  2018-03-01       Impact factor: 6.166

8.  Plasma miR-15b-5p, miR-338-5p, and miR-764 as Biomarkers for Hepatocellular Carcinoma.

Authors:  Yi Chen; Jin Chen; Yizhao Liu; Shiliang Li; Ping Huang
Journal:  Med Sci Monit       Date:  2015-06-29

Review 9.  Non-coding RNA biomarkers in pancreatic ductal adenocarcinoma.

Authors:  Geeta G Sharma; Yasuyuki Okada; Daniel Von Hoff; Ajay Goel
Journal:  Semin Cancer Biol       Date:  2020-10-10       Impact factor: 17.012

Review 10.  Molecular Imaging with MRI: Potential Application in Pancreatic Cancer.

Authors:  Chen Chen; Chang Qiang Wu; Tian Wu Chen; Meng Yue Tang; Xiao Ming Zhang
Journal:  Biomed Res Int       Date:  2015-10-22       Impact factor: 3.411

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