Intraductal papillary neoplasm of the bile duct (IPNB) is a distinct type of biliary tumor characterised with delicate fibrovascular stalks (papillary of villous) covered at biliary epithelium. The typical pathologic feature is dramatical dilation of affected bile ducts due to obstruction by mucin production. IPNB has a better prognosis than bile duct carcinoma, but the current proposed entity contains multiple definitions or categories, thus confused in pathology. Although mutations of several genes on IPNBs (such as GNAS, KRAS, APC, CTNNB1, and RNF43) identified in previous studies, there is still an unification at gene expression signature. This research trial will use whole exome sequencing and subsequent bioinformatic analysis in finding causative mutations in deoxyribonucleic acid (DNA) samples from IPNBs patients.
Using production-scale platform, this study will carry out whole exome sequencing from archival (FFPE) material to Identification and classification of significantly mutated genes, determine the somatic genomic alterations that may be relevant to the development or treatment of cancer, establish classification of IPNBs gene mutation signature. Next, analysis of gene mutation signature and IPNBs clinicopathologic outcomes, including the association between pathologic type, long-term oncological outcomes and gene mutation signature. Last, the determination of involved signal pathways at IPNB patients.
Study Type
OBSERVATIONAL
Enrollment
60
Yaodong Wang
Fuzhou, Fujian, China
Identification of novel genetic contributors to IPNBs
Novel genetic abnormalities that are found to be associated with IPNBs via production-scale platform for whole exome sequencing from archival (FFPE) material. The tumor and normal specimens will be obtained from patients with IPNBs who are receiving treatment at Fujian Provincial Hospital, Fujian Medical University Union Hospital and First affiliated Hospital of Fujian Medical University.
Time frame: 1 year
Validation of WES outcomes
To precise determination of mutation signature of WES results by Sanger Sequencing.
Time frame: 1 year
Determination of involved signal pathways
To predict and verify the involved signal pathways by bioinformatics
Time frame: 1 year
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