Literature DB >> 27995180

Endoscopic ultrasound-guided fine-needle aspiration plus KRAS and GNAS mutation in malignant intraductal papillary mucinous neoplasm of the pancreas.

Barbara Bournet1, Alix Vignolle-Vidoni2, David Grand3, Céline Roques3, Florence Breibach3, Jérome Cros4, Fabrice Muscari5, Nicolas Carrère6, Janick Selves7, Pierre Cordelier2, Louis Buscail1.   

Abstract

Background:KRAS and GNAS mutations are common in intraductal papillary mucinous neoplasia of the pancreas (IPMN). The aims of this study were to assess the role of pre-therapeutic cytopathology combined with KRAS and GNAS mutation assays within cystic fluid sampled by endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) to predict malignancy of IPMN. Patients and methods: We prospectively included 37 IPMN patients with clinical and/or imaging predictors of malignancy (men: 24; mean age: 69.5 years). Cytopathology (performed on cystic fluid and/or IPMN nodules), KRAS (Exon 2, codon 12) and GNAS (Exon 8, codon 201) mutations assays (using TaqMan® allelic discrimination) were performed on EUS-FNA material. The final diagnosis was obtained from IPMN resections (n = 18); surgical biopsies, EUS-FNA analyses, and follow-up (n = 19): 10 and 27 IPMN were benign and malignant, respectively.
Results: Sensitivity, specificity, positive and negative predictive values, and accuracy of cytopathology alone to diagnose IPMN malignancy were 55 %, 100 %, 100 %, 45 %, and 66 %, respectively. When KRAS-mutation analysis was combined with cytopathology these values were 92 %, 50 %, 83 %, 71 %, and 81 %, respectively. GNAS assays did not improve the performances of cytopathology alone or those of cytopathology plus a KRAS assay. Conclusions: In patients with a likelihood of malignant IPMN at pre-therapeutic investigation, testing for KRAS mutations in cystic fluid sampling by EUS-FNA improved the results of cytopathology for the diagnosis of malignancy whereas GNAS mutation assay did not.

Entities:  

Year:  2016        PMID: 27995180      PMCID: PMC5161125          DOI: 10.1055/s-0042-117216

Source DB:  PubMed          Journal:  Endosc Int Open        ISSN: 2196-9736


Introduction

Intraductal papillary mucinous neoplasia of the pancreas (IPMN) is characterized by adenomatous proliferation of the pancreatic-duct epithelium and may involve the main pancreatic duct (MPD), the branch ducts (BD), or both 1). Accordingly, IPMNs are named after the structure from which they are derived and are classified into 3 groups: the MPD, branch duct, or mixed (when they originate from both the main duct and branch ducts). Without exception, all cases of IPMN are considered to be potentially malignant 1 2 and surgical resection of pancreatic lesions is recommended to prevent transformation into malignancy. In most cases, BD-IPMNs are benign, but there is a 15 % risk of invasive carcinoma 3 4 5 6 7 8. Conversely, MPD- and mixed-IPMN cases are frequently malignant with a 50 % risk of invasive carcinoma 9 10 11 12. Until now, predictive factors for malignancy have not been fully defined and are still debated, even considering the consensus meeting held in 2012 2. Many studies, including ours, have provided several clinical and imaging pre-therapeutic criteria for malignancy, which greatly influence the prognosis and mortality from IPMN, such as age (> 70 years), presence of symptoms, a BD lesion with a diameter > 3 cm, dilatation of the MPD, presence of mural solid nodules and/or thickening of a branch-duct cyst or the MPD wall, lymph nodes, peri-pancreatic extension, and positive cytology 11 12 13 14. The recent consensus divided these indications into “high-risk stigmata” and “worrisome features” 2. Taking into consideration that surgical resection of IPMN with a “malignancy signature” is the best-recommended treatment, the benefit – risk ratio should be considered. Surgical intervention may include major pancreatic resection, such as the Whipple procedure, or total pancreatectomy, as is routinely used for multifocal lesions: these procedures have risks of mortality and morbidity of 0 % to 5 % and 30 % to 50 %, respectively 15. Therefore, in aged patients and/or patients with comorbidities, a preoperative diagnosis or a prediction of malignancy could be highly useful in current clinical practice. Endoscopic ultrasound (EUS) is a highly sensitive imaging modality used to evaluate pancreatic cystic lesions. Assessment of cyst fluid for carcinoembryonic antigen (CEA) levels does not differentiate IPMN from mucinous cystic neoplasm and does not correlate with the degree of dysplasia or malignancy 16 17 18. Molecular pathology and genetic changes have been studied in IPMN and have shown that a point KRAS mutation is found in 48 % of benign cases of IPMN (low-grade or intermediate dysplasia) 19 20. GNAS mutations are present in 50 % to 64 % of cases of IPMN (predominantly of the intestinal subtype and to a lesser extent the gastric subtype) 21 22 23 24. Recent studies report that GNAS and/or KRAS mutations were found in 90 % of cases of IPMN 24 25. However, the role of KRAS and GNAS assays for the diagnosis of malignancy remains controversial and preliminary, taking into account that mutations of KRAS and GNAS were found in 50 % to 83 % and 25 % to 83 % of malignant IPMN, respectively 19 23 24. In other terms, whether DNA-based mutation assays are good biomarkers for predicting malignancy of IPMN remains to be demonstrated. The aims of our study were to assess the role of pre-therapeutic cytopathology combined with KRAS and GNAS mutation assays within cystic fluid, sampled by EUS-FNA, to predict malignancy in a subgroup of patients with a likelihood of degenerative IPMN.

Patients and methods

Patients and inclusion criteria

Forty-one patients with BD, MPD-IPMN, or mixed-IPMN were prospectively enrolled between January 2010 and December 2014. A diagnosis of BD IPMN was established from radiologic criteria when unilocular or multilocular lesions with grapelike structures were observed communicating with the pancreatic ducts. In cases of mixed- or MPD-IPMN, MPD dilatation ≥ 5 mm was present in all patients. These imaging criteria were formerly identified (including communication between BD-cyst and MPD) from at least 2 morphologic examinations, including computed tomography (CT) scan, magnetic resonance cholangiopancreatography (MRCP), and EUS. We selected jaundice, acute pancreatitis, diabetes, BD dilatation > 30 mm, mural-tissue component or thickening (branch-duct cyst or MPD wall), MPD size > 10 mm, and lymph nodes as predictors of malignancy (i. e., a high likelihood of degenerative IPMN) as previously described 1 10 11 13. We excluded patients with IPMN and without clinical and/or imaging predictors of malignancy, a pancreatic cystic tumor that was different from IPMN, a solid pancreatic tumor, evidence of metastasis or a non-resectable pancreatic cystic tumor, and a contraindication to undergo an EUS-FNA.

Data, imaging, and EUS-FNA at inclusion

The clinical data recorded were age, gender, medical history, circumstances of diagnosis, and symptoms related to IPMN. All patients underwent helical triple-phase CT examinations and MRCP was performed in 81 % of patients 8 11. EUS-FNA procedures were performed, as previously described 8 11 26 (Olympus GF-UC140 T echo-endoscope – Hamburg, Germany). Data recorded at imaging were maximal diameter of the MPD and branch-duct cyst, the tissular component surrounding the MPD, mural modules and/or tissular thickening of the MPD and/or BD cyst wall (mainly at EUS), localization of BD lesions, and maximal diameter of the side-branch IPMN. In each patient with predictor signs of malignancy, a fine-needle aspiration of cystic fluid was obtained using a Wilson Cook USN1 22G needle biopsy (Limerick, Ireland). All the cystic fluid was systematically sampled (with a collapse of cystic walls) and placed in a dry sterile tube for cytologic analysis (a minimum of 1 mL), except 500 to 750 microliters that was kept for molecular analyses. In cases where there was a mural nodule or a solid component within the IPMN, another FNA was systematically performed during the same procedure, using a different needle, in order to obtain tissue for a histologic microbiopsy (core biopsy). In cases where IPMN was resectioned, the pathology and IPMN histologic subtypes were assessed. The pathologic classification of IPMN was adopted in this work as follows: low-grade dysplasia, high-grade dysplasia, and invasive carcinoma 1 2. We considered malignant IPMN as having high-grade dysplasia and invasive carcinoma. In patients where an IPMN resection was not performed, clinical and biological follow-up were systematically conducted at least every 6 months (hospitalization or consultation), together with abdominal imaging (MRCP or CT) performed every 6 months for the first year, and then annually. In cases of clinical and/or radiologic evolution of IPMN, another EUS-FNA was performed. For all patients, decisions on management were systematically made during a multidisciplinary meeting dedicated to pancreatic disease and that included at least 2 gastrointestinal surgeons, 2 gastroenterologists, an anesthesiologist, a pathologist and a radiologist. The regional platform committee for somatic genetics of tumors in the Midi-Pyrénées approved the protocol for the KRAS and GNAS assays from the EUS-FNA samples. Informed written and signed consent for investigations was obtained from each patient and the research was conducted in full accordance with ethical principles outlined in the Declaration of Helsinki.

KRAS and GNAS mutation assays

The cystic fluid from IPMN was sampled using EUS-FNA: 500 – 700-µL aliquots were placed in dry sterile 1-mL Eppendorf tubes, and were rapidly frozen at – 20 °C until DNA was extracted. Samples were then centrifuged for 10 minutes at 8000 rpm. DNA was extracted from the pellets using a QIAamp DNA micro kit (QIAGEN-Les Ulis, France). Nucleic acids were quantified using a Nanovue spectrophotometer (GE Healthcare, Buckinghamshire, UK). To identify KRAS exon 2, codon-12 mutations, we performed a mutation-detection assay based on custom TaqMan® MGB™ dual probes (KRAS codon-12 mutations: c.34G > C/p.G12R; c.35G > A/p.G12D; c.35G > T/p.G12V). Polymerase chain reaction (PCR) sequences were detected using 20 ng of genomic DNA, as previously described 27. The remaining DNA was subsequently used to assess GNAS mutations. To identify the GNAS exon 8, codon-201 mutations, we performed a mutation-detection assay based on custom TaqMan® MGB™ dual probes (GNAS codon-201 mutations: c.601C > T/p.R201C and c.602G > A/pR201H). Each probe incorporated a 5’ reporter dye (VIC/FAM) specific to the WT or SNP sequence, and a 3’ non-fluorescent quencher. Positive controls included DNA that was extracted from resected IPMN specimens and with known GNAS R201C and R201H mutations (sequencing). The negative control included DNA extracted from human pancreatic cancer cells (MiaPaca2 cells) with a known GNAS wild type 28. Amplification of the probe-specific product caused cleavage of the probe and generated an increase in reporter fluorescence. The use of a dual probe in each experiment made it possible to discriminate the signal for WT- and SNP-specific fluorescence in a single PCR and closed-tube format. Each alternation was screened with a dual-probe assay, with a wild-type and mutant for each of the 2 mutations screened. The runs were performed on a ROCHE LightCycler 480II (Roche Life Science, Boulogne-Billancourt, France) real-time PCR system. PCR was done in 10-µL reaction volumes that included 20 ng of genomic DNA and a 1X final master-mix custom Taqman® SNP genotyping assay (Life Technologies, Gent, Belgium). The cycling condition was a 3-step PCR in 96-well plates, as follows: denaturation at 95 °C for 15 min, amplification for 40 cycles at 95 °C for 10 s, at 60 °C for 1 min, and then cooling at 40 °C for 30 s. Each run included positive and negative controls. Investigators who performed the KRAS and GNAS assays were blinded to the diagnoses.

Statistical analyses

Results are expressed as mean ± SE. Qualitative and quantitative data were analyzed using Student’s t-test, the chi-squared test, or Fisher’s exact test, and Spearman’s and Pearson’s correlation tests, as appropriate, using GraphPad-Instat (version 3.1a) and GraphPad-Prims (version 6) software.

Results

Patient characteristics and diagnoses

Among the 41 patients diagnosed with IPMN, 18 underwent surgical resection with confirmation of IPMN in all cases (a Whipple procedure in 9, a left pancreatectomy in 7, a total pancreatectomy in 2). Twenty-three patients did not undergo resection because 3 cases of IPMN displayed signs of unresectability at laparotomy, 3 patients refused surgery, and 17 patients had contraindications for pancreatic surgery because of age and/or multiple comorbidities, including concomitant extra-pancreatic carcinoma. In the non-surgical group, 4 patients refused follow-up, so a diagnosis could not be confirmed. Among the 41 patients included, 37 could be analyzed (the flowchart for the study is shown in Fig. 1). Table 1 and Table 2 show the clinical, imaging, cytopathologic, and molecular characteristics at EUS-FNA of these 37 patients (men: 24; women: 13; mean age 69.5 years, median age 70 years). Half of the patients presented with at least 2 predictive signs of malignancy at diagnosis. No complication occurred during or after the EUS-FNA procedure. A final histologic diagnosis was obtained for all patients from resected specimens (n = 8) (Table 1). For non-resected IPMN the final diagnosis was obtained (Table 2): from biopsy tissue material obtained during a laparotomy (n = 3), from core biopsy at initial EUS-FNA (n = 12) and/or subsequent follow-up with second biopsy (EUS- or CT-guided) and occurrence of metastasis in case of malignant IPMN. On the whole, all 19 patients with non-resected IPMN were followed up after diagnosis (median 13 months, range 4 – 60). In 8 patients with invasive carcinoma or high-grade dysplasia at baseline FNA (n = 6), or who had a surgical biopsy during laparotomy (n = 2) disease progressed both clinically and anatomically (median follow-up 7.5 months, deaths n = 5). In the 6 patients with no malignancy found on EUS-FNA (low-grade dysplasia or normal/hyperplasia), an invasive carcinoma was subsequently diagnosed based on clinical and/or imaging evidence (including a subsequent EUS-guided or CT-guided FNA with histologic analysis of a microbiopsy as well as a surgical biopsy during laparotomy): the median time to diagnosis of carcinoma was 8.5 months (range 2 – 24) and there were 4 deaths. The 5 remaining patients did not have disease progression (median follow-up 52 months: range 14 – 58 months), and this included 3 subsequent EUS-FNAs that still showed low-grade dysplasia. In these 5 patients, a diagnosis of benign IPMN was definitively attributed. Taking into account resected and non-resected IMPN, the final diagnoses were benign IPMN in 10 and malignant IPMN in 27 patients (i. e., 2with high-grade dysplasia; 25 with invasive carcinoma).
Fig. 1

 Flowchart of the study, including distribution of intraductal papillary mucinous neoplasia of the pancreas (IPMN) in patients depending on resection or not and the follow-up. IPMN with predictors of malignancy that indicated a high likelihood of malignancy were: jaundice, branch-duct dilatation > 30 mm, a mural-tissue component, dilatation of the main pancreatic duct > 10 mm, or lymph nodes. Malignant IPMN means high-grade dysplasia and invasive carcinoma; benign IPMN means low-grade dysplasia.

Clinical, anatomical, and molecular characteristics, and pathologic findings in patients with resected branch-duct (BD)-, mixed-, or main pancreatic duct (MPD) intraductal papillary mucinous neoplasia of the pancreas (IPMN).

#SexAgesignsTypeBD size (mm)MPD size(mm)SiteCytopathologyat EUS-FNA KRAS status GNAS statusFinal histology and diagnosis
 1M62PainMixed27  6HeadNormalG12 DR201CIC, gastric
 2W75NoneMixed60 8HeadCarcinomaWTWTHGD pancreato-biliary
 3M58PainMixed3211HeadCarcinomaG12VWTIC, intestinal
 4W76DiabetesBD35 3.5BodyCarcinomaG12VWTIC, intestinal
 5W71NoneMixed 612HeadNormalWTWTIC, intestinal
 6M72PainMixed70  8HeadCarcinomaWTWTIC, intestinal
 7M59APMixed35  7HeadCarcinomaWTWTIC intestinal
 8M65NoneMixed25  6BodyCarcinomaG12VWTIC, intestinal
 9W80NoneMixed50 6TailLGDG12 DWTHGD, gastric
10M57NoneMixed40  8headLGDWTWTLGD, gastric
11M61APMixed40 5headNormalG12 DR201HLGD, gastric
12W72Weight lossBD90 5headHGDWTR201HIC, gastric
13W66NoneMixed18  6bodyCarcinomaWTWTIC, intestinal
14M65noneMixed33  6headNormalG12VR201HIC, gastric
15M68Weight lossMixed30  7headLGDG12 DR201CLGD, intestinal
16M77PainMixed32 12bodyNormalG12 DWTLGD, gastric
17M62PainMixed40 9headLGDG12 DWTIC, pancreato-biliary
18M70APBD 25  3headLGDG12 DR201CLGD, gastric

IC: IPMN with invasive adenocarcinoma; HGD = high-grade dysplasia IPMN; LGD = intermediate or low-grade dysplasia IPMN; AP: acute pancreatitis; BD: branch duct IPMN; MD: main-duct IPMN; mixed: mixed IPMN. WT: wild-type.

Clinical, anatomic, and molecular characteristics, and pathologic findings of patients with non-resected branch-duct (BD)-, mixed-, or main pancreatic duct (MPD) intraductal papillary mucinous neoplasia of the pancreas (IPMN).

#.GenderAgeSignsTypeBD size (mm)MPD size (mm)SiteCytopathologyat EUS-FNA KRAS status GNAS statusFinal diagnosis(assessment)
 1W56PainBD30 4HeadCarcinoma(cytology)G12 DWTIC, gastric(surgical biopsy)
 2M73PainBD50  4HeadNormal(cytology)G12 DWTIC, intestinal(surgical biopsy)
 3M75PainBD60 4BodyHGD(core biopsy)WTR201CIC(surgical biopsy)
 4W82JaundiceMixed20 12BodyHGD(core biopsy)G12 DWTIC (follow-up)
 5M79Weight lossMixed30 7HeadLGD(core biopsy)G12VWTIC(follow-up)
 6M64NoneMixed33 8HeadLGD(core biopsy)G12VWTLGD(second biopsy)
 7M73JaundiceBD35 3.5HeadHGD(core biopsy)G12 DWTIC, intestinal(follow – up)
 8M78DiabetesBD32  5HeadLGD(cytology)WTWTLGD(follow-up)
 9M67NoneMixed35 7HeadNormal(cytology)G12 DWTIC(follow-up)
10M85JaundiceMixed40  8HeadNormal(cytology) G12VWTIC(follow-up)
11W57PainMixed75 6BodyNormal(cytology)G12 DWTIC(second biopsy)
12W58NoneBD50 3BodyLGD(core biopsy)WTWTLGD(follow-up)
13W67PainBD30 4BodyHGD(core biopsy)G12 RWTIC(follow-up)
14W78NoneBD31 3BodyLGD(core biopsy)WTWTLGD(follow-up)
15M64JaundiceMixed33  8HeadCarcinoma(core biopsy)WTR201CIC, intestinal(follow-up)
16W70JaundiceMixed30  5HeadLGD(cytology)WTWTIC (follow-up)
17M84PainMixed60 6HeadNormal(core biopsy)WTWTLGD(second biopsy)
18M67Bowel obstruct.Mixed3511BodyCarcinoma(core biopsy)G12 DWTIC, gastric(follow-up)
19M78NoneMixed28  7HeadCarcinoma(core biopsy)G12 DNDIC(follow-up)

IC: IPMN with invasive adenocarcinoma; HGD = high-grade dysplasia IPMN; LGD = intermediate or low-grade dysplasia IPMN; AP: acute pancreatitis; BD: branch duct IPMN; MD: main-duct IPMN; mixed: mixed IPMN. WT: wild-type. For initial EUS-cytopathology the material obtained is detailed in parenthesis: cytology alone (cytology n = 7) or histology on core biopsies (core biopsy n = 12). For the final diagnosis the assessment is detailed in parenthesis: surgical biopsy during laparotomy, second biopsy (EUS- or CT-guided) and follow-up (subsequent occurrence of metastasis).

Flowchart of the study, including distribution of intraductal papillary mucinous neoplasia of the pancreas (IPMN) in patients depending on resection or not and the follow-up. IPMN with predictors of malignancy that indicated a high likelihood of malignancy were: jaundice, branch-duct dilatation > 30 mm, a mural-tissue component, dilatation of the main pancreatic duct > 10 mm, or lymph nodes. Malignant IPMN means high-grade dysplasia and invasive carcinoma; benign IPMN means low-grade dysplasia. IC: IPMN with invasive adenocarcinoma; HGD = high-grade dysplasia IPMN; LGD = intermediate or low-grade dysplasia IPMN; AP: acute pancreatitis; BD: branch duct IPMN; MD: main-duct IPMN; mixed: mixed IPMN. WT: wild-type. IC: IPMN with invasive adenocarcinoma; HGD = high-grade dysplasia IPMN; LGD = intermediate or low-grade dysplasia IPMN; AP: acute pancreatitis; BD: branch duct IPMN; MD: main-duct IPMN; mixed: mixed IPMN. WT: wild-type. For initial EUS-cytopathology the material obtained is detailed in parenthesis: cytology alone (cytology n = 7) or histology on core biopsies (core biopsy n = 12). For the final diagnosis the assessment is detailed in parenthesis: surgical biopsy during laparotomy, second biopsy (EUS- or CT-guided) and follow-up (subsequent occurrence of metastasis).

Cytopathology and yield of KRAS and GNAS assays at the baseline EUS-FNA

Cytology and/or histologic analysis of EUS-FNA materials are detailed in Table 1 and Table 2 for patients with confirmed IPMN and carcinoma (n = 11, 30 %), for IPMN with high-grade dysplasia (n = 4,11 %), and for IPMN with low-grade dysplasia and normal/hyperplasia (n = 22, 59 %). KRAS and a GNAS assays were possible in all cases except one because of insufficient DNA material for subsequent GNAS-mutation analysis after assessing KRAS status. Fig. 2 shows the representative curve plots for wild-type and mutated KRAS and GNAS samples. The mean quantity of DNA extracted per sample was 269 ± 58 ng (min: 35 ng; max: 1660 ng). There was no statistical difference in terms of quantity of DNA extracted from the subgroups with wild-type (232 ± 73 ng) or mutated (290 ± 86 ng) KRAS and GNAS (P = 0.65), or between the 2 subgroups with malignant (250 ± 78 ng) or benign (288 ± 103 ng) IPMN at the final diagnosis (P = 0.85) (unpaired Student’s t test). In addition, there was no correlation between the size of the BD-IPMN in which fluid samples had been made by EUS and the amount of extracted DNA (Pearson’s and Spearman’s correlation tests: 0.027 < r < 0.05, data not shown). This indicates that neither the presence of malignancy nor the size of the side-branch IPMN influenced the amount of DNA in the cystic fluid.
Fig. 2

 Representative chromatogram of TaqMan allelic discrimination analysis of G12 D KRAS and R201C GNAS mutations obtained from EUS-guided fine-needle cystic-fluid aspiration from intraductal papillary mucinous neoplasia of the pancreas (IPMN). Panels a and c: plots of a wild-type DNA sample; panels b and d: plots of mutated DNA samples with distinct curves generated by mutated and wild-type probes.

Representative chromatogram of TaqMan allelic discrimination analysis of G12 D KRAS and R201C GNAS mutations obtained from EUS-guided fine-needle cystic-fluid aspiration from intraductal papillary mucinous neoplasia of the pancreas (IPMN). Panels a and c: plots of a wild-type DNA sample; panels b and d: plots of mutated DNA samples with distinct curves generated by mutated and wild-type probes.

Combination of cytopathology and the KRAS/GNAS mutation assays to predict IPMN malignancy

Data on sensitivity, specificity, predictive values, overall accuracy of the cytopathology alone, the KRAS analysis alone, the GNAS analysis alone, and the combination of either 2 or 3 tests to diagnose malignant versus benign IPMN are detailed in Table 3.

Performance of cystic fluid EUS-FNA, EUS-FNA and a KRAS assay, EUS-FNA and a GNAS assay, EUS-FNA and a KRAS plus a GNAS assay to diagnose malignant intraductal papillary mucinous neoplasia of the pancreas (IPMN) in 37 patients with clinical and/or radiologic predictors of malignancy.

Sensitivity (95 % CI)Specificity (95 % CI)PPV (95 % CI)NPV (95 % CI)Accuracy (95 % CI)
EUS-FNA55 (35 – 94)100 (69 – 100)100 (78 – 100)45 (24 – 67)66 (54 – 96)
KRAS 66 (46 – 83) 50 (18 – 80) 78 (56 – 92)36 (12 – 64)61 (48 – 92)
GNAS 19 (6 – 38) 70 (34 – 93) 62 (24 – 91)24 (10 – 43) 61 (43 – 87)
EUS-FNA + KRAS 92 (75 – 99) 50 (18 – 81) 83 (66 – 93)71 (29 – 96)81 (67 – 96)
EUS-FNA + GNAS 62 (42 – 80) 70 (34 – 93) 85 (62 – 96)41 (18 – 67)64 (37 – 83)
EUS-FNA + KRAS + GNAS 92 (75 – 99) 50 (18 – 81)  83 (66 – 93)71 (29 – 96)81 (67 – 96)

PPV: positive predictive value; NPV: negative predictive value; EUS-FNA: endoscopic ultrasound-fine-needle guided aspiration.

PPV: positive predictive value; NPV: negative predictive value; EUS-FNA: endoscopic ultrasound-fine-needle guided aspiration. We observed that combining cytopathologic analysis and the KRAS mutation assay increased the sensitivity (from 53 to 92 %), the negative predictive value (NPV) (from 45 to 71 %), and the accuracy (from 66 to 81 %) compared to cytopathology alone to diagnose malignant IPMN. This was not observed when using the combined cytopathologic analysis and GNAS-mutation assay. In addition, combining the cytopathology and KRAS and GNAS assays did not improve the performance of combining cytopathology and the KRAS assay. In Table 4 we compared the performances of cytopathology alone and the combination of cytopathology plus KRAS status in the 2 subgroups of patients that did or did not undergo resection of their IPMN. In these 2 subgroups, the sensitivity, the NPV, and the accuracy of cytopathology alone to diagnose IPMN malignancy were also increased when they were combined with the cystic fluid KRAS-mutation assay. Overall, we can conclude that when the EUS-FNA cytopathology and KRAS mutation assay are combined we can predict a malignancy in 80 % of cases of IPMN.

Performance of cystic fluid EUS-FNA and EUS-FNA plus a KRAS assay to diagnose malignant intraductal papillary mucinous neoplasia of the pancreas (IPMN) in two subgroups of patients with and without resection of IPMN and pre-therapeutic clinical and/or radiologic predictors of malignancy.

Sensitivity (95 % CI) Specificity (95 % CI) PPV (95 % CI) NPV (95 % CI) Accuracy (95 % CI)
Resected IPMN (n = 18) EUS-FNA EUS-FNA + KRAS 61 (31 – 86)91(61 – 99)100 (47 – 100) 33 (4 – 77)100 (63 – 100) 73 (44 – 92)50 (18 – 81)66 (9 – 99)72 (48 – 91)72 (43 – 99)
Non-resected IPMN (n  = 19) EUS-FNA EUS-FNA + KRAS 50 (23 – 76)78 (49 – 95)100 (47 – 100) 80 (28 – 99)100 (59 – 100) 92 (61 – 99)42 (15 – 72)57 (18 – 90)63 (45 – 87)79 (52 – 99)

PPV: positive predictive value; NPV: negative predictive value; EUS-FNA: endoscopic ultrasound-fine-needle guided aspiration. There is no statistical difference in term of sensitivity and specificity between the two groups (resected versus non-resected – 0.65 < P < 0.73, Fischer’s exact test) except for the specificity of EUS-FNA + KRAS that was statistically lower in the resected group (P = 0.002).

PPV: positive predictive value; NPV: negative predictive value; EUS-FNA: endoscopic ultrasound-fine-needle guided aspiration. There is no statistical difference in term of sensitivity and specificity between the two groups (resected versus non-resected – 0.65 < P < 0.73, Fischer’s exact test) except for the specificity of EUS-FNA + KRAS that was statistically lower in the resected group (P = 0.002).

Discussion

In this prospective study, we investigated a subgroup of IPMN patients who had clinical predictors of malignancy assessed at diagnosis. We demonstrated that when the KRAS-mutation analysis was added to the cytopathology data from EUS-FNA materials, this improved the ability to diagnose malignancy. This is of importance as it will improve our ability to identify patients with high-grade dysplasia or invasive malignant IPMN and who might benefit from surgical resection. We also observed that testing for the GNAS mutation did not improve the performance of cytopathology alone or the combination of cytopathology plus the KRAS assay to diagnose this indication. As previously observed in solid tumors, despite the paucity of material collected for molecular analysis from IPMN cystic fluid, which rarely excesses 500 µl, DNA extraction can be performed in 100 % of cases 27. Use of an extraction micro-kit enables this success rate. The amount of DNA was half that observed from EUS-FNA materials from solid pancreatic tumors 27. In addition, the amount of DNA was not influenced by the mutational status, the size of the cyst or its stage. To our knowledge, this study demonstrates, for the first time, that TaqMan allelic discrimination is feasible on material collected from pancreatic cystic fluid to assess both KRAS and GNAS mutation status. As already observed, cytopathology has a sensitivity of ~50 % (with high specificity) in in diagnosing malignancy of IPMN 16 17 18 but it is inferior to pre-therapeutic clinical imaging. In comparison, the codon-12 KRAS mutation assay alone had performance similar to that of cytopathology, with lower specificity and positive predictive value due to false-positive results (i. e., the presence of KRAS mutations in patients with low-grade dysplasia). However, when cytopathology and the KRAS assay are combined, sensitivity, NPV, and accuracy were substantially increased (sensitivity increased from 55 to 92 %, NPV from 45 % to 71 %, and accuracy from 66 % to 81 %). This indicates that associating cytopathology and testing KRAS in EUS-FNA material from IPMN may help predict malignancy in patients with BD or a mixed form of IPMN. Conversely, the codon 201 GNAS mutation assay did not improve diagnosis. Moreover GNAS mutation (22 %, intestinal and gastric subtypes) appeared less frequently than previously observed in micro-dissected specimens of resected IPMN, in cystic fluid, or in duodenal fluid sampled under secretin stimulation (50 % – 66 % of mutated GNAS) 21 24 25 29. Interestingly, when considering the subgroup of IPMN with high-grade dysplasia and invasive carcinoma, frequency of GNAS mutations ranges from 15 % – 33 % and is found to be significantly less in cases of IPMN with invasive carcinoma when compared to other histopathologic grades 24 25 30. Regarding the current study, almost 75 % of patients with IMPN were diagnosed with high-grade dysplasia and invasive carcinoma. Such a patient population may account for the low frequency of GNAS mutations in our study. A recent study from Tan et al., performed on micro-dissected IPMN tissues, did not find any significant difference in terms of KRAS or GNAS mutations according to the degree of dysplasia 22. However, GNAS mutations were more frequent in colloidal-type (89 %) than in tubular-type (32 %) invasive carcinoma, respectively 22. Conversely, KRAS mutations were significantly more frequent in the tubular-subtype (89 % vs. 52 %). In our work, almost 50 % of cases with resected IPMN and invasive carcinoma were either gastric or pancreatobiliary subtypes that generated adenocarcinoma with a tubular shape. Such an observation may also explain the low incidence of GNAS mutations in our series. Another explanation could be that cystic fluid sampled by EUS-FNA may contain only neoplastic cells from a limited area and does not reflect the entire pancreas, including the MPD. However, the frequency of KRAS mutations in our patient cohort was 62 %, an amount that is commonly found in IPMN tissues and fluid, including within high-grade or invasive cases 23 24 25. From a clinical point of view, allelic discrimination assays for KRAS mutations are currently performed on somatic genetic tumors in colon cancer specimens, thus this approach now can be readily transferred into routine clinical practice for pre-therapeutic evaluation of IPMN in EUS-FNA material (and recently Next Generation Sequencing). When treating patients with high-risk of stigmata, EUS-FNA associated with a KRAS mutation assay could be useful when making therapeutic decisions 30. From our results, in cases of high-grade dysplasia, combining cytopathology and/or KRAS-mutation assessment enabled prediction of malignancy in 80 % of cases. Recent studies have underscored the importance of combining both clinical and radiologic findings to assessment of hotspots mutations of pancreatic cyst fluid for detection of advanced neoplasia, especially IPMN 31 32. From a practical point of view, payment for additional molecular analysis can be an issue. In our study, only 9 of 37 patients (24 %) had a normal or LGD cytology at EUS with mutated KRAS and a final diagnosis of invasive carcinoma arising in the IPMN. Therefore, we would suggest reserving KRAS mutation analysis for cases with normal or non-contributive or LGD cytopathology (keeping thus a minimum 500 microliters of cystic fluid to a possible subsequent molecular analysis). In addition, following the international consensus for IPMPN, Crippa et al. recently reported some significant predictor signs of disease-specific survival after multivariate analysis. They were age > 70 years, presence of atypical or malignant cytology, jaundice, and main pancreatic duct size > 15 mm 2 33. These data are important from a clinical point of view and, in our series, 54 % of patients (20 over 37) had at least 1 of these criteria. Besides the results of cytopathology after EUS-FNA, some of these criteria should be taken into account and finally KRAS mutation analysis also can be reserved for patients who meet longer survival criteria.

Conclusion

In conclusion, in patients with a pre-therapeutic likelihood of IPMN-associated malignancy, use of EUS-FNA to obtain cystic fluid was safe, and the TaqMan allelic discrimination assay for KRAS and GNAS mutations was feasible. Although testing for GNAS mutations did not substantially improve diagnosis IPMN malignancy, the KRAS mutation assay, when combined with cytopathology, increased performance of cytopathology alone, especially in sensitivity, NPV, accuracy, and as a predictor of malignancy in 80 % of cases.
  33 in total

Review 1.  International consensus guidelines for management of intraductal papillary mucinous neoplasms and mucinous cystic neoplasms of the pancreas.

Authors:  Masao Tanaka; Suresh Chari; Volkan Adsay; Carlos Fernandez-del Castillo; Massimo Falconi; Michio Shimizu; Koji Yamaguchi; Kenji Yamao; Seiki Matsuno
Journal:  Pancreatology       Date:  2006       Impact factor: 3.996

2.  GNAS and KRAS Mutations Define Separate Progression Pathways in Intraductal Papillary Mucinous Neoplasm-Associated Carcinoma.

Authors:  Marcus C Tan; Olca Basturk; A Rose Brannon; Umesh Bhanot; Sasinya N Scott; Nancy Bouvier; Jennifer LaFemina; William R Jarnagin; Michael F Berger; David Klimstra; Peter J Allen
Journal:  J Am Coll Surg       Date:  2015-02-11       Impact factor: 6.113

Review 3.  A systematic review of the Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity and its Portsmouth modification as predictors of post-operative morbidity and mortality in patients undergoing pancreatic surgery.

Authors:  Haolu Wang; Tao Chen; Hui Wang; Yanyan Song; Xinxing Li; Jian Wang
Journal:  Am J Surg       Date:  2013-02-08       Impact factor: 2.565

4.  Potential predictors of disease progression for main-duct intraductal papillary mucinous neoplasms of the pancreas.

Authors:  Takeshi Ogura; Daisuke Masuda; Yoshitaka Kurisu; Shoko Edogawa; Akira Imoto; Michihiro Hayashi; Kazuhisa Uchiyama; Kazuhide Higuchi
Journal:  J Gastroenterol Hepatol       Date:  2013-11       Impact factor: 4.029

5.  Long-term clinical and imaging follow-up of nonoperated branch duct form of intraductal papillary mucinous neoplasms of the pancreas.

Authors:  Audrey Arlix; Barbara Bournet; Philippe Otal; Guillaume Canevet; Aldine Thevenot; Sylvain Kirzin; Nicolas Carrere; Bertrand Suc; Jacques Moreau; Jean Escourrou; Louis Buscail
Journal:  Pancreas       Date:  2012-03       Impact factor: 3.327

Review 6.  Cyst features and risk of malignancy in intraductal papillary mucinous neoplasms of the pancreas: a meta-analysis.

Authors:  Neeraj Anand; Kartik Sampath; Bechien U Wu
Journal:  Clin Gastroenterol Hepatol       Date:  2013-02-13       Impact factor: 11.382

7.  Predictive factors for malignancy in intraductal papillary-mucinous tumours of the pancreas.

Authors:  M Sugiyama; Y Izumisato; N Abe; T Masaki; T Mori; Y Atomi
Journal:  Br J Surg       Date:  2003-10       Impact factor: 6.939

8.  Preoperative GNAS and KRAS testing in the diagnosis of pancreatic mucinous cysts.

Authors:  Aatur D Singhi; Marina N Nikiforova; Kenneth E Fasanella; Kevin M McGrath; Reetesh K Pai; N Paul Ohori; Tanner L Bartholow; Randall E Brand; Jennifer S Chennat; Xuong Lu; Georgios I Papachristou; Adam Slivka; Herbert J Zeh; Amer H Zureikat; Kenneth K Lee; Allan Tsung; Geeta S Mantha; Asif Khalid
Journal:  Clin Cancer Res       Date:  2014-06-17       Impact factor: 12.531

9.  A combination of molecular markers and clinical features improve the classification of pancreatic cysts.

Authors:  Simeon Springer; Yuxuan Wang; Marco Dal Molin; David L Masica; Yuchen Jiao; Isaac Kinde; Amanda Blackford; Siva P Raman; Christopher L Wolfgang; Tyler Tomita; Noushin Niknafs; Christopher Douville; Janine Ptak; Lisa Dobbyn; Peter J Allen; David S Klimstra; Mark A Schattner; C Max Schmidt; Michele Yip-Schneider; Oscar W Cummings; Randall E Brand; Herbert J Zeh; Aatur D Singhi; Aldo Scarpa; Roberto Salvia; Giuseppe Malleo; Giuseppe Zamboni; Massimo Falconi; Jin-Young Jang; Sun-Whe Kim; Wooil Kwon; Seung-Mo Hong; Ki-Byung Song; Song Cheol Kim; Niall Swan; Jean Murphy; Justin Geoghegan; William Brugge; Carlos Fernandez-Del Castillo; Mari Mino-Kenudson; Richard Schulick; Barish H Edil; Volkan Adsay; Jorge Paulino; Jeanin van Hooft; Shinichi Yachida; Satoshi Nara; Nobuyoshi Hiraoka; Kenji Yamao; Susuma Hijioka; Schalk van der Merwe; Michael Goggins; Marcia Irene Canto; Nita Ahuja; Kenzo Hirose; Martin Makary; Matthew J Weiss; John Cameron; Meredith Pittman; James R Eshleman; Luis A Diaz; Nickolas Papadopoulos; Kenneth W Kinzler; Rachel Karchin; Ralph H Hruban; Bert Vogelstein; Anne Marie Lennon
Journal:  Gastroenterology       Date:  2015-08-04       Impact factor: 22.682

10.  Endoscopic ultrasound-guided fine-needle aspiration biopsy coupled with KRAS mutation assay to distinguish pancreatic cancer from pseudotumoral chronic pancreatitis.

Authors:  B Bournet; A Souque; P Senesse; E Assenat; M Barthet; N Lesavre; A Aubert; D O'Toole; P Hammel; P Levy; P Ruszniewski; M Bouisson; J Escourrou; P Cordelier; L Buscail
Journal:  Endoscopy       Date:  2009-06-16       Impact factor: 10.093

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  8 in total

Review 1.  The diagnosis and management of intraductal papillary mucinous neoplasms of the pancreas: has progress been made?

Authors:  Jenny Lim; Peter J Allen
Journal:  Updates Surg       Date:  2019-06-07

2.  A retrospective study of histological outcome for IPMN after surgery in Lausanne, Switzerland: A case series.

Authors:  Alexis Litchinko; Kosuke Kobayashi; Nermin Halkic
Journal:  Ann Med Surg (Lond)       Date:  2020-10-20

Review 3.  Can we better predict the biologic behavior of incidental IPMN? A comprehensive analysis of molecular diagnostics and biomarkers in intraductal papillary mucinous neoplasms of the pancreas.

Authors:  Kiara A Tulla; Ajay V Maker
Journal:  Langenbecks Arch Surg       Date:  2017-12-07       Impact factor: 3.445

Review 4.  The Potential for Circulating Tumor Cells in Pancreatic Cancer Management.

Authors:  Michael Pimienta; Mouad Edderkaoui; Ruoxiang Wang; Stephen Pandol
Journal:  Front Physiol       Date:  2017-06-02       Impact factor: 4.566

Review 5.  Liquid biopsy in pancreatic cancer: the beginning of a new era.

Authors:  Dipesh Kumar Yadav; Xueli Bai; Rajesh Kumar Yadav; Alina Singh; Guogang Li; Tao Ma; Wei Chen; Tingbo Liang
Journal:  Oncotarget       Date:  2018-06-01

Review 6.  Stratifying Intraductal Papillary Mucinous Neoplasms by Cyst Fluid Analysis: Present and Future.

Authors:  Scarlett Hao; Caitlin Takahashi; Rebecca A Snyder; Alexander A Parikh
Journal:  Int J Mol Sci       Date:  2020-02-09       Impact factor: 5.923

7.  Prophylactic total pancreatectomy in individuals at high risk of pancreatic ductal adenocarcinoma (PROPAN): systematic review and shared decision-making programme using decision tables.

Authors:  Lianne Scholten; Anouk Ej Latenstein; Cora M Aalfs; Marco J Bruno; Olivier R Busch; Bert A Bonsing; Bas Groot Koerkamp; I Quintus Molenaar; Dirk T Ubbink; Jeanin E van Hooft; Paul Fockens; Jolanda Glas; J Hans DeVries; Marc G Besselink
Journal:  United European Gastroenterol J       Date:  2020-07-23       Impact factor: 4.623

Review 8.  Signal-Targeted Therapies and Resistance Mechanisms in Pancreatic Cancer: Future Developments Reside in Proteomics.

Authors:  Célia Cintas; Thibaut Douché; Nicole Therville; Silvia Arcucci; Fernanda Ramos-Delgado; Céline Basset; Benoît Thibault; Julie Guillermet-Guibert
Journal:  Cancers (Basel)       Date:  2018-06-01       Impact factor: 6.639

  8 in total

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