31 research outputs found

    Omics deciphering of pancreatic ductal adenocarcinoma heterogeneity : from bench to bedside

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    L'hĂ©tĂ©rogĂ©nĂ©itĂ© de l'adĂ©nocarcinome canalaire pancrĂ©atique (ADCP) est l'obstacle majeur au traitement efficace des patients. En effet, les caractĂ©ristiques cliniques et la sensibilitĂ© aux traitements sont associĂ©s Ă  un phĂ©notype donnĂ© et sont plutĂŽt rĂ©gis Ă  un niveau transcriptomique. Nous avons donc analysĂ© le transcriptome de xĂ©nogreffes provenant des patients (Patients Derived Xenografts : PDX) lors des biopsies de tumeurs ou de piĂšces chirurgicales. AprĂšs extraction d’ARN, nous avons trouvĂ© une signature molĂ©culaire capable de diviser les patients en deux groupes, en fonction de leur survie. Nous avons Ă©galement montrĂ© que la rĂ©ponse autraitement pouvait ĂȘtre prĂ©dite par l‘analyse transcriptomique. Nous avons ensuite analysĂ© les tumeurs et leurs stromas, et mis en Ă©vidence deux soustypesde stromas et deux sous-types de tumeurs, dĂ©finis par la transcriptomique basĂ©e sur l'ARN, ou la mĂ©thylation de l'ADN. Nous avons Ă©tudiĂ© la rĂ©ponse aux traitements administrĂ©s seuls ou en combinaison avec des chimiothĂ©rapies de routine. Nous avons mis en Ă©vidence des sous-groupes de patients plus chimiosensibles Ă  certains traitements. Tous ces rĂ©sultats sont encourageants,mais pas encore applicables en pratique clinique. Nous dĂ©veloppons maintenant les organoĂŻdes, vĂ©ritable reprĂ©sentation de la tumeur en 3dimensions. Contrairement aux PDX, les organoĂŻdes nous permettent d'obtenir des rĂ©sultats rapidement exploitables. Nous pensons que dans un avenir proche, le traitement des cancers du pancrĂ©as sera prĂ©cĂ©dĂ© d'une caractĂ©risation molĂ©culaire Ă©tendue afin de sĂ©lectionner les traitements les plus appropriĂ©s et de pouvoir enfin proposer une mĂ©decine personnalisĂ©e.Heterogeneity of Pancreatic Ductal AdenoCarcinoma (PDAC) has become the majorimpediment to the effective treatment of patients. Clinical outcome and sensitivity to treatments are associated with a given phenotype and associated at a transcriptomic level. Recent data indicate that studying the expressionof a selected gene set could inform selection of the most appropriate treatments.We areoptimizing this approach by analysing transcriptome of Patient-Derived Xenografts (PDX)from surgical as well as endoscopic ultrasound-guided fine needle aspiration (EUS-FNA)biopsies of tumors, as a source of RNA. We have found a molecularsignature capable of dividing patients into two groups, function of theirsurvival.Independently, we have shown that treatment response pattern can also be foundat a transcriptomic level. We thenanalysed tumors and their stromas, and have found two sub-types of stromas and two sub-types of tumors. These wereindinstinctly defined by RNAseq-based transcriptomics, or DNA methylation. We also studied response to treatments administered alone or incombination to routine chemotherapies. All these results are encouraging, but not yetapplicable in clinical pratice. We are now developing the PDAC Biopsy DerivedPancreatic Cancer Organoids (BDPCO): BDPCO culture represents an excellent source of “exvivo” material. Unlike PDX, which take many months to grow, BDPCO allow us to obtainexploitable material rapidly useful for clinical application. We are convinced that in the near future, the treatment ofpancreatic cancers will be preceded by an extensive molecular characterization of cancercells in order to select the most appropriate treatments

    A pancreatic zone at higher risk of fistula after enucleation

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    Abstract Background To determine predictive factors of postoperative pancreatic fistula (POPF) in patients undergoing enucleation (EN). Methods From 2005 to 2017, 47 patients underwent EN and had magnetic resonance imaging available for precise analysis of tumor location. Three pancreatic zones were delimited by the right side of the portal vein and the main pancreatic head duct (zone #3 comprising the lower head parenchyma and the uncinate process). Results The mortality and morbidity rates were 0% and 62%, respectively. POPF occurred in 23 patients (49%) and was graded as B or C (severe) in 15 patients (32%). Four patients (8.5%) developed a postoperative hemorrhage, and 5 patients (11%) needed a reintervention. In univariate and multivariate analyses, the pancreatic zone was the unique predictive factor of overall (P = .048) or severe POPF (P = .05). We did not observe any difference in postoperative courses when comparing the EN achieved in zones #1 and #2. We noted a longer operative duration (P = .016), higher overall (P = .017) and severe POPF (P = .01) rates, and longer hospital stays (P = .04) when comparing the EN achieved in zone #3 versus that in zones #1 and #2. Patients who underwent EN in zone #3 had a relative risk of developing a severe POPF of 3.22 compared with patients who underwent EN in the two other pancreatic zones. Conclusion Our study identifies the lower head parenchyma and the uncinate process as a high-risk zone of severe POPF after EN. Patients with planned EN in this zone could be selected and benefit from preoperative and/or intraoperative techniques to reduce the severe POPF rate
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