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DNA-mutation Analysis in Cyst Fluid of Suspected Intraductal Papillary Mucinous Neoplasia of the Pancreas

DNA-mutation Analysis by Next Generation Sequencing in Cyst Fluid of Suspected Intraductal Papillary Mucinous Neoplasia of the Pancreas Obtained by Endoscopic Ultrasound-guided Fine Needle Aspiration (ZYSTEUS-Study)

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03820531
Enrollment
150
Registered
2019-01-29
Start date
2018-01-01
Completion date
2022-12-01
Last updated
2022-12-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pancreas Cyst

Keywords

DNA Mutational Analysis, Cyst Fluid, Pancreas

Brief summary

Diagnostic tools are needed to identify mucinous cysts for further evaluation or follow-up respectively to identify cysts with HGD or invasive cancer at an early stage for surgical resection. Molecular genetic analysis of pancreatic cyst fluid is a new but rapidly evolving method to identify KRAS/GNAS oncogenic driver mutations in mucinous cysts and to identify tumour suppressor gene mutations which are involved in advanced cysts with HGD or carcinoma. The ongoing ZYSTEUS-study tries to implement DNA mutation analysis by Next Generation Sequencing in the diagnostic algorithm of pancreas cyst evaluation. The first aim is to distinguish mucinous from non-mucinous cysts. The second aim is to define relevant tumour suppressor gene mutations which are relevant to distinguish between LGD and HGD/carcinoma in mucinous cysts.

Detailed description

Intraductal papillary mucinous neoplasm (IPMN) with low grade dysplasia (LGD) can progress to high grade dysplasia (HGD) or invasive cancer. Main duct IPMN, mixed type IPMN or branch duct IPMN with high risk stigmata are highly predictive for malignancy. Therefore, patients in good general state should be considered for surgical resection. Guidelines like the International Fukuoka Consensus Guidelines from 2017 or the European evidence-based Guidelines on Pancreatic cyst neoplasms from 2018 provide detailed recommendations on the management of IPMNs by focusing on clinical characteristics, image morphology, cytology and laboratory parameters. However, these applied guidelines still lead to surgical overtreatment of pancreas cysts based on the pathologic outcomes as neither HGD nor carcinoma is found in up to 82.1 % of the resected cysts. Cyst fluid sent for cytology usually provides adequate cellular material for analysis in only 31% of the cases and Endoscopic Ultrasound-guided forceps biopsy has not yet shown to be better than fine needle aspiration. Hence, further diagnostic tools are needed to identify mucinous cysts for further evaluation or follow-up respectively to identify cysts with HGD or invasive cancer at an early stage for surgical resection. Molecular genetic analysis of pancreatic cyst fluid is possibly able to identify KRAS/GNAS oncogenic driver mutations in mucinous cysts and to identify tumour suppressor gene mutations which are involved in advanced cysts with HGD or carcinoma. This workgroup described a high sensitive method of targeted Next Generation Sequencing in pancreas cyst fluid with a limit of detection of allele frequency down to 0.01 %. Further investigations of the ongoing ZYSTEUS-study are focused on the implementation of DNA mutation analysis by NGS in the diagnostic algorithm of pancreas cyst evaluation. The first aim is to reliably distinguish mucinous from non-mucinous cysts respectively main duct IPMN from chronic pancreatitis with main duct dilatation as the absence of KRAS/GNAS-mutations is highly predictive for non-mucinous diseases. The second aim is to define relevant tumour suppressor gene mutations which are relevant to differentiate LGD from HGD/carcinoma in mucinous cysts. DNA mutation analysis will be compared with already established peroperative diagnostic tests of pancreas cyst fluid: Measurement of CEA and lipase as well as cytology.

Interventions

DIAGNOSTIC_TESTNext Generation Sequencing

DNA Mutational Analysis in pancreas cyst fluid concerning KRAS/GNAS-mutations and mutations in tumor supressor genes

DIAGNOSTIC_TESTCEA and lipase

Measuring CEA and lipase level in pancreas cyst fluid: CEA \> 192 ng/ml and lipase \> 200 U/l = mucinous cyst

DIAGNOSTIC_TESTCytology

Cytology in pancreas cyst fluid: mucinous versus non-mucinous cyst; LGD versus HGD/Carcinoma

DIAGNOSTIC_TESTHistology of resected pancreas cyst

Histology of resected pancreas cyst concerning mucinous versus non-mucinous cyst, IPMN versus non-IPMN and LGD versus HGD/Carcinoma

Sponsors

University Hospital Heidelberg
CollaboratorOTHER
Theresienkrankenhaus und St. Hedwig-Klinik GmbH
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Intervention model description

DNA-mutation analysis by Next Generation Sequencing is performed to identify IPMN pancreas cysts with LGD versus HGD/Carcinoma. Controls: non-neoplastic pancreas cysts and chronic pancreatitis with main duct dilation

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* pancreas cysts with cyst size \> 15mm * pancreas with main duct dilation \> 5mm

Exclusion criteria

* patients who are not fit for surgery

Design outcomes

Primary

MeasureTime frameDescription
Patients with a mucinous pancreas cystFrom EUS-guided fine needle aspiration of pancreas cyst fluid up to seven daysNumber of patients with the preoperative diagnosis of a mucinous pancreas cyst (numerator) in correlation with the number of patients with a mucinous pancreas cyst confirmed by surgery (denominator)
Pancreas cyst with HGD or carcinomaFrom EUS-guided fine needle aspiration of pancreas cyst fluid up to seven daysNumber of patients with the preoperative diagnosis of a HGD/carcinoma pancreas cyst (numerator) in correlation with the number of patients with a HGD/carcinoma pancreas cyst confirmed by surgery (denominator)

Countries

Germany

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 18, 2026