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Featured researches published by Florian Ehehalt.


Oncologist | 2009

Neuroendocrine Tumors of the Pancreas

Florian Ehehalt; Hans Detlev Saeger; C. Max Schmidt; Robert Grützmann

This literature review briefly summarizes the epidemiology, pathophysiology, clinical management, and outcomes of patients with pancreatic neuroendocrine tumors (PNETs) and highlights recent advances in PNET research. PNETs are rare neoplasms, compared with carcinomas arising from pancreatic exocrine tissue. They, like other neuroendocrine tumor types, display variable malignant potential, hormone-related syndromes (functionality), localization, and genetic background. Although tumor origin and molecular pathogenesis remain poorly understood, recently established grading and staging systems facilitate patient risk stratification, and thereby directly impact clinical decision making. Although the optimal clinical management of PNETs involves a multidisciplinary approach, surgery remains the only curative treatment for early-stage disease. Surgery may also have a role in patients with advanced-stage disease, including those with hepatic metastases. Alternative therapeutic approaches applied to PNETs, including chemotherapy, radiofrequency ablation, transarterial chemoembolization, biotherapy, polypeptide radionuclide receptor therapy, antiangiogenic therapy, and selective internal radiotherapy, have failed to demonstrate a long-term survival benefit. Surgery remains the primary therapeutic option for patients with PNETs. Research on PNETs is desperately needed to improve the therapeutic options for patients with this disease.


Annals of Surgery | 2013

Pathohistological subtype predicts survival in patients with intraductal papillary mucinous neoplasm (IPMN) of the pancreas.

Marius Distler; Stephan Kersting; Marco Niedergethmann; Daniela Aust; Melanie Franz; Felix Rückert; Florian Ehehalt; Christian Pilarsky; Stefan Post; Hans-Detlev Saeger; Robert Grützmann

Objective: To investigate different subtypes of intraductal papillary mucinous neoplasms (IPMNs) of the pancreas and their prognostic value. Background: IPMNs of the pancreas are estimated to have a better prognosis than pancreatic ductal adenocarcinomas (PDACs). In addition to the different growth types (ie, main duct vs. branch duct types), the histological subtypes of IPMNs (ie, intestinal, pancreatobiliary, gastric, and oncocytic type) are prognostically relevant. These subtypes can be characterized by different mucin (MUC) expression patterns. In this study, we analyzed the IPMNs from 2 pancreatic cancer referral centers by correlating the MUC expression, histological subtype, and clinical outcome. Methods: We re-evaluated all resections due to a pancreatic tumor over a period of 15 years. Cases with IPMNs were identified, and the subtypes were distinguished using histopathological analysis, including the immunohistochemical analysis of MUC (ie, MUC1, MUC2, and MUC5AC) expression. Furthermore, we determined clinical characteristics and patient outcome. Results: A total of 103 IPMNs were identified. On the basis of the MUC profile, histopathological subtypes were classified into the following categories: intestinal type [n = 45 (44%)], pancreatobiliary type [n = 41 (40%)], gastric type [n = 13 (12%)], and oncocytic type [n = 4 (4%)]. The following types of resections were performed: pancreatic head resections [n = 77 (75%)], tail resections [n = 16 (15%)], total pancreatectomies [n = 5 (5%)], and segment resections [n = 5 (5%)]. The 5-year survival of patients with intestinal IPMNs was significantly better than pancreatobiliary IPMNs (86.6% vs. 35.6%; P < 0.001). The pancreatobiliary subtype was strongly associated with malignancy [odds ratio (OR): 6.76], recurrence (P < 0.001), and long-term survival comparable with that of PDAC patients. Conclusions: Evaluation of IPMN subtypes supports postoperative patient prognosis prediction. Therefore, subtype differentiation could lead to improvements in clinical management. Potentially identifying subgroups with the need for adjuvant therapy may be possible.


Proceedings of the National Academy of Sciences of the United States of America | 2008

ICA512 signaling enhances pancreatic beta-cell proliferation by regulating cyclins D through STATs

Hassan Mziaut; Stephan Kersting; Klaus-Peter Knoch; Wan-Hung Fan; Mirko Trajkovski; Katja Erdmann; Hendrik Bergert; Florian Ehehalt; Hans-Detlev Saeger; Michele Solimena

Changes in metabolic demands dynamically regulate the total mass of adult pancreatic β-cells to adjust insulin secretion and preserve glucose homeostasis. Glucose itself is a major regulator of β-cell proliferation by inducing insulin secretion and activating β-cell insulin receptors. Here, we show that islet cell autoantigen 512 (ICA512)/IA-2, an intrinsic tyrosine phosphatase-like protein of the secretory granules, activates a complementary pathway for β-cell proliferation. On granule exocytosis, the ICA512 cytoplasmic domain is cleaved and the resulting cytosolic fragment (ICA512-CCF) moves into the nucleus where it enhances the levels of phosphorylated STAT5 and STAT3, thereby inducing insulin gene transcription and granule biogenesis. We now show that knockdown of ICA512 decreases cyclin D1 levels and proliferation of insulinoma INS-1 cells, whereas β-cell regeneration is reduced in partially pancreatectomized ICA512−/− mice. Conversely, overexpression of ICA512-CCF increases both cyclin D1 and D2 levels and INS-1 cell proliferation. Up-regulation of cyclin D1 and D2 by ICA512-CCF is affected by knockdown of STAT3 and STAT5, respectively, whereas it does not require insulin signaling. These results identify ICA512 as a regulator of cyclins D and β-cell proliferation through STATs and may have implication for diabetes therapy.


Nature Protocols | 2014

Using pancreas tissue slices for in situ studies of islet of Langerhans and acinar cell biology

Anja Marciniak; Christian M. Cohrs; Vasiliki Tsata; Julie A. Chouinard; Claudia Selck; Julia Stertmann; Saskia Reichelt; Tobias Rose; Florian Ehehalt; Jürgen Weitz; Michele Solimena; Marjan Rupnik; Stephan Speier

Studies on the cellular function of the pancreas are typically performed in vitro on its isolated functional units, the endocrine islets of Langerhans and the exocrine acini. However, these approaches are hampered by preparation-induced changes of cell physiology and the lack of an intact surrounding. We present here a detailed protocol for the preparation of pancreas tissue slices. This procedure is less damaging to the tissue and faster than alternative approaches, and it enables the in situ study of pancreatic endocrine and exocrine cell physiology in a conserved environment. Pancreas tissue slices facilitate the investigation of cellular mechanisms underlying the function, pathology and interaction of the endocrine and exocrine components of the pancreas. We provide examples for several experimental applications of pancreas tissue slices to study various aspects of pancreas cell biology. Furthermore, we describe the preparation of human and porcine pancreas tissue slices for the validation and translation of research findings obtained in the mouse model. Preparation of pancreas tissue slices according to the protocol described here takes less than 45 min from tissue preparation to receipt of the first slices.


Annals of Surgery | 2011

Hepatocyte nuclear factor (HNF) 4α expression distinguishes ampullary cancer subtypes and prognosis after resection.

Florian Ehehalt; Petra Rümmele; Stephan Kersting; Corinna Lang-Schwarz; Felix Rückert; Arndt Hartmann; Wolfgang Dietmaier; Luigi Terracciano; Daniela Aust; Beatrix Jahnke; Hans-Detlev Saeger; Christian Pilarsky; Robert Grützmann

Objective: To investigate biological differences and prognostic indicators of different ampullary cancer (AC) subtypes. Background: AC is associated with a favorable prognosis compared with other periampullary carcinomas. Aside from other prognostic factors, the histological origin of AC may determine survival. Specifically, the pancreatobiliary subtype of AC displays worse prognosis compared with the intestinal subtype. However, knowledge of inherent molecular characteristics of different periampullary tumors and their effects on prognosis has been limited. Methods: Gene expression profiling was used to screen for differential gene expression between 6 PDAC cases and 12 AC cases. Among others, hepatocyte nuclear factor 4&agr; (HNF4&agr;) mRNA overexpression was observed in AC cases. Nuclear HNF4&agr; protein expression was assessed using tissue microarrays consisting of 99 individual AC samples. The correlation of HNF4&agr; expression with clinicopathological data (n = 99) and survival (n = 84) was assessed. Results: HNF4&agr; mRNA is 7.61-fold up-regulated in AC compared with that in PDAC. Bioinformatics analyses indicated its key role in dysregulated signaling pathways. Nuclear HNF4&agr; expression correlates with histological subtype, grading, CDX2 positivity, MUC1 negativity and presence of adenomatous components in the carcinoma. The presence of HNF4&agr; is a univariate predictor of survival in AC mean survival (50 months versus 119 months, P = 0.002). Multivariate analysis revealed that HNF4&agr; negativity (HR = 17.95, 95% CI: 2.35–136.93, P = 0.005) and lymph node positivity (HR = 3.33, 95% CI: 1.36–8.18, P = 0.009) are independent negative predictors of survival. Conclusions: Immunohistochemical determination of HNF4&agr; expression is an effective tool for distinguishing different AC subtypes. Similarly, HNF4&agr; protein expression is an independent predictor of favorable prognosis in carcinoma of the papilla of Vater and may serve for risk stratification after curative resection.


Experimental and Clinical Endocrinology & Diabetes | 2008

Pancreatic Disorders and Diabetes Mellitus

Ronny Meisterfeld; Florian Ehehalt; Hans-Detlev Saeger; Michele Solimena

Diabetes mellitus is a common disease among patients with pancreatic cancer and chronic pancreatitis, disorders of the exocrine pancreas. Different clinical features of diabetes are associated with these two conditions: hyperinsulinemia and peripheral insulin resistance are the prevailing diabetic traits in pancreatic cancer, whereas reduced islet cell mass and impaired insulin secretion are typically observed in chronic pancreatitis. Whether or not a causal relationship exists between diabetes and pancreatic carcinoma is an intriguing but unanswered question. Diabetes often precedes pancreatic cancer and is thus regarded as a potential risk factor for malignancy. Conversely, pancreatic cancer may secrete diabetogenic factors. Given these findings, there is increasing interest in whether close monitoring of the glycemic profile may aid early detection of pancreatic tumor lesions.


Journal of Visualized Experiments | 2013

Improved protocol for laser microdissection of human pancreatic islets from surgical specimens.

Dorothée Sturm; Lorella Marselli; Florian Ehehalt; Daniela Richter; Marius Distler; Stephan Kersting; Robert Grützmann; Krister Bokvist; Philippe Froguel; Robin Liechti; Anne Jörns; Paolo Meda; Gustavo Baretton; Hans-Detlev Saeger; Anke Schulte; Piero Marchetti; Michele Solimena

Laser microdissection (LMD) is a technique that allows the recovery of selected cells and tissues from minute amounts of parenchyma. The dissected cells can be used for a variety of investigations, such as transcriptomic or proteomic studies, DNA assessment or chromosomal analysis. An especially challenging application of LMD is transcriptome analysis, which, due to the lability of RNA, can be particularly prominent when cells are dissected from tissues that are rich of RNases, such as the pancreas. A microdissection protocol that enables fast identification and collection of target cells is essential in this setting in order to shorten the tissue handling time and, consequently, to ensure RNA preservation. Here we describe a protocol for acquiring human pancreatic beta cells from surgical specimens to be used for transcriptomic studies. Small pieces of pancreas of about 0.5-1 cm(3) were cut from the healthy appearing margins of resected pancreas specimens, embedded in Tissue-Tek O.C.T. Compound, immediately frozen in chilled 2-Methylbutane, and stored at -80 °C until sectioning. Forty serial sections of 10 μm thickness were cut on a cryostat under a -20 °C setting, transferred individually to glass slides, dried inside the cryostat for 1-2 min, and stored at -80 °C. Immediately before the laser microdissection procedure, sections were fixed in ice cold, freshly prepared 70% ethanol for 30 sec, washed by 5-6 dips in ice cold DEPC-treated water, and dehydrated by two one-minute incubations in ice cold 100% ethanol followed by xylene (which is used for tissue dehydration) for 4 min; tissue sections were then air-dried afterwards for 3-5 min. Importantly, all steps, except the incubation in xylene, were performed using ice-cold reagents - a modification over a previously described protocol. utilization of ice cold reagents resulted in a pronounced increase of the intrinsic autofluorescence of beta cells, and facilitated their recognition. For microdissection, four sections were dehydrated each time: two were placed into a foil-wrapped 50 ml tube, to protect the tissue from moisture and bleaching; the remaining two were immediately microdissected. This procedure was performed using a PALM MicroBeam instrument (Zeiss) employing the Auto Laser Pressure Catapulting (AutoLPC) mode. The completion of beta cell/islet dissection from four cryosections required no longer than 40-60 min. Cells were collected into one AdhesiveCap and lysed with 10 μl lysis buffer. Each single RNA specimen for transcriptomic analysis was obtained by combining 10 cell microdissected samples, followed by RNA extraction using the Pico Pure RNA Isolation Kit (Arcturus). This protocol improves the intrinsic autofluorescence of human beta cells, thus facilitating their rapid and accurate recognition and collection. Further improvement of this procedure could enable the dissection of phenotypically different beta cells, with possible implications for better understanding the changes associated with type 2 diabetes.


Islets | 2010

Impaired insulin turnover in islets from type 2 diabetic patients

Florian Ehehalt; Klaus Peter Knoch; Katja Erdmann; Christian Krautz; Melanie Jäger; Anja Steffen; Carolin Wegbrod; Ronny Meisterfeld; Stephan Kersting; Hendrik Bergert; Eberhard Kuhlisch; Stefan R. Bornstein; Ezio Bonifacio; Hans-Detlev Saeger; Michele Solimena

Failure of pancreatic β-cells contributes to the development of type 2 diabetes. Besides evidence of reduced glucose-stimulated insulin secretion and β-cell mass, little information is available about the molecular deficits of human diabetic islets. Islets were isolated from macroscopically normal pancreatic tissue from 8 patients with type 2 diabetes and 17 matched non-diabetic patients who underwent pancreatic surgery. Insulin content and insulin secretion were measured before and after islet stimulation with 25 mM glucose for 2 hours. In parallel, we also investigated the subcellular localization of polypyrimidine tract-binding protein 1 (PTBP1), whose nucleocytoplasmic translocation is involved in the rapid posttranscriptional up-regulation of insulin biosynthesis following islet stimulation with glucose and GLP-1. Glucose stimulated insulin secretion was decreased, albeit not significantly, in type 2 diabetic islets compared to non-diabetic islets. Stimulation increased the total amount of insulin (islet insulin content + secreted insulin) in islet preparation from non-diabetic patients, but not from type 2 diabetic subjects. Furthermore, the nuclear levels of PTBP1 were decreased in stimulated non-diabetic islets, but not in type 2 diabetic islets. These results suggest that impairment of rapid insulin increase in response to glucose is a specific trait of type 2 diabetic islets. Nuclear retention of PTBP1 is likely to play a role in this deficit, which in turn can contribute to impaired insulin secretion in type 2 diabetes. Overall, these data highlight the importance of investigating mechanisms of insulin biosynthesis and degradation to gain insight into the pathogenesis of type 2 diabetes.


Diabetologia | 2018

Systems biology of the IMIDIA biobank from organ donors and pancreatectomised patients defines a novel transcriptomic signature of islets from individuals with type 2 diabetes

Michele Solimena; Anke Schulte; Lorella Marselli; Florian Ehehalt; Daniela Richter; Manuela Kleeberg; Hassan Mziaut; Klaus-Peter Knoch; Julia Parnis; Marco Bugliani; Afshan Siddiq; Anne Jörns; Frédéric Burdet; Robin Liechti; Mara Suleiman; Daniel Margerie; Farooq Syed; Marius Distler; Robert Grützmann; Enrico Petretto; Aida Moreno-Moral; Carolin Wegbrod; Anke Sönmez; Katja Pfriem; Anne Friedrich; Jörn Meinel; Claes B. Wollheim; Gustavo Baretton; Raphael Scharfmann; Everson Nogoceke

Aims/hypothesisPancreatic islet beta cell failure causes type 2 diabetes in humans. To identify transcriptomic changes in type 2 diabetic islets, the Innovative Medicines Initiative for Diabetes: Improving beta-cell function and identification of diagnostic biomarkers for treatment monitoring in Diabetes (IMIDIA) consortium (www.imidia.org) established a comprehensive, unique multicentre biobank of human islets and pancreas tissues from organ donors and metabolically phenotyped pancreatectomised patients (PPP).MethodsAffymetrix microarrays were used to assess the islet transcriptome of islets isolated either by enzymatic digestion from 103 organ donors (OD), including 84 non-diabetic and 19 type 2 diabetic individuals, or by laser capture microdissection (LCM) from surgical specimens of 103 PPP, including 32 non-diabetic, 36 with type 2 diabetes, 15 with impaired glucose tolerance (IGT) and 20 with recent-onset diabetes (<1 year), conceivably secondary to the pancreatic disorder leading to surgery (type 3c diabetes). Bioinformatics tools were used to (1) compare the islet transcriptome of type 2 diabetic vs non-diabetic OD and PPP as well as vs IGT and type 3c diabetes within the PPP group; and (2) identify transcription factors driving gene co-expression modules correlated with insulin secretion ex vivo and glucose tolerance in vivo. Selected genes of interest were validated for their expression and function in beta cells.ResultsComparative transcriptomic analysis identified 19 genes differentially expressed (false discovery rate ≤0.05, fold change ≥1.5) in type 2 diabetic vs non-diabetic islets from OD and PPP. Nine out of these 19 dysregulated genes were not previously reported to be dysregulated in type 2 diabetic islets. Signature genes included TMEM37, which inhibited Ca2+-influx and insulin secretion in beta cells, and ARG2 and PPP1R1A, which promoted insulin secretion. Systems biology approaches identified HNF1A, PDX1 and REST as drivers of gene co-expression modules correlated with impaired insulin secretion or glucose tolerance, and 14 out of 19 differentially expressed type 2 diabetic islet signature genes were enriched in these modules. None of these signature genes was significantly dysregulated in islets of PPP with impaired glucose tolerance or type 3c diabetes.Conclusions/interpretationThese studies enabled the stringent definition of a novel transcriptomic signature of type 2 diabetic islets, regardless of islet source and isolation procedure. Lack of this signature in islets from PPP with IGT or type 3c diabetes indicates differences possibly due to peculiarities of these hyperglycaemic conditions and/or a role for duration and severity of hyperglycaemia. Alternatively, these transcriptomic changes capture, but may not precede, beta cell failure.


PLOS ONE | 2015

Blood Glucose Homeostasis in the Course of Partial Pancreatectomy – Evidence for Surgically Reversible Diabetes Induced by Cholestasis

Florian Ehehalt; Dorothée Sturm; Manuela Rösler; Marius Distler; Jürgen Weitz; Stephan Kersting; Barbara Ludwig; Uta Schwanebeck; Hans-Detlev Saeger; Michele Solimena; Robert Grützmann

Background and Aim Partial pancreatic resection is accompanied not only by a reduction in the islet cell mass but also by a variety of other factors that are likely to interfere with glucose metabolism. The aim of this work was to characterize the patient dynamics of blood glucose homeostasis during the course of partial pancreatic resection and to specify the associated clinico-pathological variables. Methods In total, 84 individuals undergoing elective partial pancreatic resection were consecutively recruited into this observational trial. The individuals were assigned based on their fasting glucose or oral glucose tolerance testing results into one of the following groups: (I) deteriorated, (II) stable or (III) improved glucose homeostasis three months after surgery. Co-variables associated with blood glucose dynamics were identified. Results Of the 84 participants, 25 (30%) displayed a normal oGTT, 17 (20%) showed impaired glucose tolerance, and 10 (12%) exhibited pathological glucose tolerance. Elevated fasting glucose was present in 32 (38%) individuals before partial pancreatic resection. Three months after partial pancreatic resection, 14 (17%) patients deteriorated, 16 (19%) improved, and 54 (64%) retained stable glucose homeostasis. Stability and improvement was associated with tumor resection and postoperative normalization of recently diagnosed glucose dysregulation, preoperatively elevated tumor markers and markers for common bile duct obstruction, acute pancreatitis and liver cell damage. Improvement was linked to preoperatively elevated insulin resistance, which normalized after resection and was accompanied by a decrease in fasting- and glucose-stimulated insulin secretion. Conclusions Surgically reversible blood glucose dysregulation diagnosed concomitantly with a (peri-) pancreatic tumor appears secondary to compromised liver function due to tumor compression of the common bile duct and the subsequent increase in insulin resistance. It can be categorized as “cholestasis-induced diabetes” and thereby distinguished from other forms of hyperglycemic disorders.

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Michele Solimena

Dresden University of Technology

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Stephan Kersting

Dresden University of Technology

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Hans-Detlev Saeger

Dresden University of Technology

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Robert Grützmann

University of Erlangen-Nuremberg

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Christian Pilarsky

Dresden University of Technology

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Marius Distler

Dresden University of Technology

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Dorothée Sturm

Dresden University of Technology

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Gustavo Baretton

Dresden University of Technology

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Jürgen Weitz

Dresden University of Technology

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Klaus-Peter Knoch

Dresden University of Technology

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