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NICOLLE, R.

Publications and source records attributed to NICOLLE, R..

2 recordsLinked to original sources

Loss of HNF1b drives pancreatic Intraductal Papillary Mucinous Neoplasms (IPMN) initiation

BackgroundIntraductal papillary mucinous neoplasms (IPMNs) are clinically detectable precursors of pancreatic adenocarcinoma, yet the mechanisms initiating their development remain poorly defined. Although KRAS mutations are highly frequent in human IPMNs, KRAS activation in pancreatic ductal cells alone fails to recapitulate IPMN development in murine models, indicating that additional tumor-suppressive mechanisms must be overcome. ObjectiveThe objective was to determine whether loss of the transcription factor HNF1B predisposes to initiation of IPMN. DesignWe assessed HNF1B nuclear expression and promoter methylation in resected human IPMN specimens. To model IPMN initiation, we generated mice with ductal-specific inactivation of Hnf1b, alone or combined with KRASG12D. Ductal organoids and RNA-sequencing were used to investigate molecular mechanisms. Transcriptomic analyses were also performed on human IPMN surgical specimens. MRI from germline HNF1B mutation/deletion carriers was re-evaluated for IPMN prevalence. ResultsHuman IPMNs showed loss of HNF1B by immunochemistry, with enrichment to promoter methylation that increased with dysplasia grade. The KHC model recapitulated the key features of IPMN development including ductal dilation, high proliferation, papillary architecture and mucin production. Loss of Hnf1b together with Kras activation induced loss of primary cilia, cellular reprogramming and engaged oncogenic YAP and Wnt/{beta}-catenin signaling, similar to human IPMNs. Moreover, germline HNF1B carriers exhibited a markedly increased prevalence of branch-duct IPMN. ConclusionHNF1B functions as a tumor-suppressive gatekeeper of pancreatic ductal cells. These findings highlight HNF1B inactivation as a potential biomarker and therapeutic entry point for early interception of IPMN-driven pancreatic cancer. They also have implications for the surveillance of HNF1B-syndrome.

pathology↗

Redefining phenotypic intratumor heterogeneity of pancreatic ductal adenocarcinoma: a bottom-up approach

BackgroundPancreatic ductal adenocarcinoma (PDAC) tumor inter-patient heterogeneity has been well described with two major prognostic subtypes (classical and basal-like). An important intra-patient heterogeneity has been reported but has not yet been extensively studied due to the lack of standardized, reproducible and easily accessible high throughput methods. Material and MethodsWe built an immunohistochemical (IHC) tool capable of differentiating RNA-defined classical and basal-like tumors by selecting relevant antibodies using a multi-step process. The successive stages of i) an in-silico selection from a review literature and a bulk transcriptome analysis of 309 PDACs, ii) a tumor-specific selection from 30 patient-derived xenografts followed by iii) the validation on tissue microarrays in 50 PDAC were conducted. We used our final IHC panel on two independent cohorts of resected PDAC (n=95, whole-slide, n=148, tissue microarrays) for external validation. After digitization and registration of pathology slides, we performed a tile-based-analysis in tumor and pre-neoplastic epithelial areas and a k-means clustering to identify relevant marker combinations. ResultsSequential marker selection led to the following panel: GATA6, CLDN18, TFF1, MUC16, S100A2, KRT17, PanBasal. Four different phenotypes were identified: 1 classical, 1 intermediate (KRT17+) and 2 basal-like (MUC16+ vs S100A2+) with specific biological properties. The presence of a minor basal contingent drastically reduced overall survival, even in classical predominant PDACs (HR=2.36, p=0.01). Analysis of preneoplastic lesions suggested that pancreatic carcinogenesis may follow a progressive evolution from classical toward a basal through an early intermediate phenotype. ConclusionOur IHC panel redefined and easily assessed the high degree of intra- and inter-tumoral heterogeneity of PDAC.

cancer biology↗