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Dive into the research topics where Charlotte Wilhelm-Benartzi is active.

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Featured researches published by Charlotte Wilhelm-Benartzi.


Nature | 2015

Whole–genome characterization of chemoresistant ovarian cancer

Ann-Marie Patch; Elizabeth L. Christie; Dariush Etemadmoghadam; Dale W. Garsed; Joshy George; Sian Fereday; Katia Nones; Prue Cowin; Kathryn Alsop; Peter Bailey; Karin S. Kassahn; Felicity Newell; Michael Quinn; Stephen Kazakoff; Kelly Quek; Charlotte Wilhelm-Benartzi; Ed Curry; Huei San Leong; Anne Hamilton; Linda Mileshkin; George Au-Yeung; Catherine Kennedy; Jillian Hung; Yoke-Eng Chiew; Paul Harnett; Michael Friedlander; Jan Pyman; Stephen M. Cordner; Patricia O’Brien; Jodie Leditschke

Patients with high-grade serous ovarian cancer (HGSC) have experienced little improvement in overall survival, and standard treatment has not advanced beyond platinum-based combination chemotherapy, during the past 30 years. To understand the drivers of clinical phenotypes better, here we use whole-genome sequencing of tumour and germline DNA samples from 92 patients with primary refractory, resistant, sensitive and matched acquired resistant disease. We show that gene breakage commonly inactivates the tumour suppressors RB1, NF1, RAD51B and PTEN in HGSC, and contributes to acquired chemotherapy resistance. CCNE1 amplification was common in primary resistant and refractory disease. We observed several molecular events associated with acquired resistance, including multiple independent reversions of germline BRCA1 or BRCA2 mutations in individual patients, loss of BRCA1 promoter methylation, an alteration in molecular subtype, and recurrent promoter fusion associated with overexpression of the drug efflux pump MDR1.


Environmental Health Perspectives | 2011

In Utero Exposures, Infant Growth, and DNA Methylation of Repetitive Elements and Developmentally Related Genes in Human Placenta

Charlotte Wilhelm-Benartzi; E. Andres Houseman; Matthew A. Maccani; Graham M. Poage; Devin C. Koestler; Scott M. Langevin; Luc Gagne; Carolyn E. Banister; James F. Padbury; Carmen J. Marsit

Background: Fetal programming describes the theory linking environmental conditions during embryonic and fetal development with risk of diseases later in life. Environmental insults in utero may lead to changes in epigenetic mechanisms potentially affecting fetal development. Objectives: We examined associations between in utero exposures, infant growth, and methylation of repetitive elements and gene-associated DNA in human term placenta tissue samples. Methods: Placental tissues and associated demographic and clinical data were obtained from subjects delivering at Women and Infants Hospital in Providence, Rhode Island (USA). Methylation levels of long interspersed nuclear element-1 (LINE-1) and the Alu element AluYb8 were determined in 380 placental samples from term deliveries using bisulfite pyrosequencing. Genomewide DNA methylation profiles were obtained in a subset of 184 samples using the Illumina Infinium HumanMethylation27 BeadArray. Multiple linear regression, model-based clustering methods, and gene set enrichment analysis examined the association between birth weight percentile, demographic variables, and repetitive element methylation and gene-associated CpG locus methylation. Results: LINE-1 and AluYb8 methylation levels were found to be significantly positively associated with birth weight percentile (p = 0.01 and p < 0.0001, respectively) and were found to differ significantly among infants exposed to tobacco smoke and alcohol. Increased placental AluYb8 methylation was positively associated with average methylation among CpG loci found in polycomb group target genes; developmentally related transcription factor binding sites were overrepresented for differentially methylated loci associated with both elements. Conclusions: Our results suggest that repetitive element methylation markers, most notably AluYb8 methylation, may be susceptible to epigenetic alterations resulting from the intrauterine environment and play a critical role in mediating placenta function, and may ultimately inform on the developmental basis of health and disease.


Oncogene | 2012

Candidate DNA methylation drivers of acquired cisplatin resistance in ovarian cancer identified by methylome and expression profiling

Constanze Zeller; Wei Dai; Nicola Steele; Afshan Siddiq; Andrew Walley; Charlotte Wilhelm-Benartzi; S. Rizzo; A. van der Zee; Jane A. Plumb; Robert Brown

Multiple DNA methylation changes in the cancer methylome are associated with the acquisition of drug resistance; however it remains uncertain how many represent critical DNA methylation drivers of chemoresistance. Using isogenic, cisplatin-sensitive/resistant ovarian cancer cell lines and inducing resensitizaton with demethylating agents, we aimed to identify consistent methylation and expression changes associated with chemoresistance. Using genome-wide DNA methylation profiling across 27 578 CpG sites, we identified loci at 4092 genes becoming hypermethylated in chemoresistant A2780/cp70 compared with the parental-sensitive A2780 cell line. Hypermethylation at gene promoter regions is often associated with transcriptional silencing; however, expression of only 245 of these hypermethylated genes becomes downregulated in A2780/cp70 as measured by microarray expression profiling. Treatment of A2780/cp70 with the demethylating agent 2-deoxy-5′-azacytidine induces resensitization to cisplatin and re-expression of 41 of the downregulated genes. A total of 13/41 genes were consistently hypermethylated in further independent cisplatin-resistant A2780 cell derivatives. CpG sites at 9 of the 13 genes (ARHGDIB, ARMCX2, COL1A, FLNA, FLNC, MEST, MLH1, NTS and PSMB9) acquired methylation in ovarian tumours at relapse following chemotherapy or chemoresistant cell lines derived at the time of patient relapse. Furthermore, 5/13 genes (ARMCX2, COL1A1, MDK, MEST and MLH1) acquired methylation in drug-resistant ovarian cancer-sustaining (side population) cells. MLH1 has a direct role in conferring cisplatin sensitivity when reintroduced into cells in vitro. This combined genomics approach has identified further potential key drivers of chemoresistance whose expression is silenced by DNA methylation that should be further evaluated as clinical biomarkers of drug resistance.


Epigenetics | 2011

Birthweight is associated with DNA promoter methylation of the glucocorticoid receptor in human placenta

Amanda C. Filiberto; Matthew A. Maccani; Devin C. Koestler; Charlotte Wilhelm-Benartzi; Carolyn E. Banister; Luc Gagne; Carmen J. Marsit

Birthweight has been associated with a number of health outcomes throughout life. Crucial to proper infant growth and development is the placenta, and alterations to placental gene function may reflect differences in the intrauterine environment which functionally contribute to infant growth and may ultimately affect the child’s health. To examine if epigenetic alteration to the glucocorticoid receptor (GR) gene was linked to infant growth, we analyzed 480 human placentas for differential methylation of the GR gene exon 1F and examined how this variation in methylation extent was associated with fetal growth. Multivariable linear regression revealed a significant association (p < 0.0001) between differential methylation of the GR gene and large for gestational age (LGA) status. Our work is one of the first to link infant growth as a measure of the intrauterine environment and epigenetic alterations to the GR and suggests that DNA methylation may be a critical determinant of placental function.


Gut | 2013

Plasma antibodies to oral bacteria and risk of pancreatic cancer in a large European prospective cohort study

Dominique S. Michaud; Jacques Izard; Charlotte Wilhelm-Benartzi; Doo Ho You; Verena Grote; Anne Tjønneland; Christina C. Dahm; Kim Overvad; Mazda Jenab; Veronika Fedirko; Marie-Christine Boutron-Ruault; Françoise Clavel-Chapelon; Antoine Racine; Rudolf Kaaks; Heiner Boeing; Jana Foerster; Antonia Trichopoulou; Pagona Lagiou; Dimitrios Trichopoulos; Carlotta Sacerdote; Sabina Sieri; Domenico Palli; Rosario Tumino; Salvatore Panico; Peter D. Siersema; Petra H.M. Peeters; Eiliv Lund; Aurelio Barricarte; José María Huerta; Esther Molina-Montes

Objective Examine the relationship between antibodies to 25 oral bacteria and pancreatic cancer risk in a prospective cohort study. Design We measured antibodies to oral bacteria in prediagnosis blood samples from 405 pancreatic cancer cases and 416 matched controls, nested within the European Prospective Investigation into Cancer and Nutrition study. Analyses were conducted using conditional logistic regression and additionally adjusted for smoking status and body mass index. Results Individuals with high levels of antibodies against Porphyromonas gingivalis ATTC 53978, a pathogenic periodontal bacteria, had a twofold higher risk of pancreatic cancer than individuals with lower levels of these antibodies (OR 2.14; 95% CI 1.05 to 4.36; >200 ng/ml vs ≤200 ng/ml). To explore the association with commensal (non-pathogenic) oral bacteria, we performed a cluster analysis and identified two groups of individuals, based on their antibody profiles. A cluster with overall higher levels of antibodies had a 45% lower risk of pancreatic cancer than a cluster with overall lower levels of antibodies (OR 0.55; 95% CI 0.36 to 0.83). Conclusions Periodontal disease might increase the risk for pancreatic cancer. Moreover, increased levels of antibodies against specific commensal oral bacteria, which can inhibit growth of pathogenic bacteria, might reduce the risk of pancreatic cancer. Studies are needed to determine whether oral bacteria have direct effects on pancreatic cancer pathogenesis or serve as markers of the immune response.


Nature Reviews Cancer | 2014

Poised epigenetic states and acquired drug resistance in cancer.

Robert Brown; Ed Curry; Luca Magnani; Charlotte Wilhelm-Benartzi; Jane Borley

Epigenetic events, which are somatically inherited through cell division, are potential drivers of acquired drug resistance in cancer. The high rate of epigenetic change in tumours generates diversity in gene expression patterns that can rapidly evolve through drug selection during treatment, leading to the development of acquired resistance. This will potentially confound stratified chemotherapy decisions that are solely based on mutation biomarkers. Poised epigenetic states in tumour cells may drive multistep epigenetic fixation of gene expression during the acquisition of drug resistance, which has implications for clinical strategies to prevent the emergence of drug resistance.


British Journal of Cancer | 2013

Review of processing and analysis methods for DNA methylation array data.

Charlotte Wilhelm-Benartzi; Devin C. Koestler; Margaret R. Karagas; James M. Flanagan; Brock C. Christensen; Karl T. Kelsey; Carmen J. Marsit; Eugene Andres Houseman; Robert Brown

The promise of epigenome-wide association studies and cancer-specific somatic DNA methylation changes in improving our understanding of cancer, coupled with the decreasing cost and increasing coverage of DNA methylation microarrays, has brought about a surge in the use of these technologies. Here, we aim to provide both a review of issues encountered in the processing and analysis of array-based DNA methylation data and a summary of the advantages of recent approaches proposed for handling those issues, focusing on approaches publicly available in open-source environments such as R and Bioconductor. We hope that the processing tools and analysis flowchart described herein will facilitate researchers to effectively use these powerful DNA methylation array-based platforms, thereby advancing our understanding of human health and disease.


Carcinogenesis | 2010

DNA methylation profiles delineate etiologic heterogeneity and clinically important subgroups of bladder cancer

Charlotte Wilhelm-Benartzi; Devin C. Koestler; Eugene Andres Houseman; Brock C. Christensen; John K. Wiencke; Alan R. Schned; Margaret R. Karagas; Karl T. Kelsey; Carmen J. Marsit

DNA methylation profiles can be used to define molecular cancer subtypes that may better inform disease etiology and clinical decision-making. This investigation aimed to create DNA methylation profiles of bladder cancer based on CpG methylation from almost 800 cancer-related genes and to then examine the relationship of those profiles with exposures related to risk and clinical characteristics. DNA, derived from formalin-fixed paraffin-embedded tumor samples obtained from incident cases involved in a population-based case-control study of bladder cancer in New Hampshire, was used for methylation profiling on the Illumina GoldenGate Methylation Bead Array. Unsupervised clustering of those loci with the greatest change in methylation between tumor and non-diseased tissue was performed to defined molecular subgroups of disease, and univariate tests of association followed by multinomial logistic regression was used to examine the association between these classes, bladder cancer risk factors and clinical phenotypes. Membership in the two most methylated classes was significantly associated with invasive disease (P < 0.001 for both class 3 and 4). Male gender (P = 0.04) and age >70 years (P = 0.05) was associated with membership in one of the most methylated classes. Finally, average water arsenic levels in the highest percentile predicted membership in an intermediately methylated class of tumors (P = 0.02 for both classes). Exposures and demographic associated with increased risk of bladder cancer specifically associate with particular subgroups of tumors defined by DNA methylation profiling and these subgroups may define more aggressive disease.


Histopathology | 2014

The prognostic significance of the aberrant extremes of p53 immunophenotypes in breast cancer

David P. Boyle; Darragh G. McArt; Gareth Irwin; Charlotte Wilhelm-Benartzi; Tong F. Lioe; Elena Sebastian; Stephen McQuaid; Peter Hamilton; Jacqueline James; Paul B. Mullan; Mark A. Catherwood; D. Paul Harkin; Manuel Salto-Tellez

The utility of p53 as a prognostic assay has been elusive. The aims of this study were to describe a novel, reproducible scoring system and assess the relationship between differential p53 immunohistochemistry (IHC) expression patterns, TP53 mutation status and patient outcomes in breast cancer.


Cancer Causes & Control | 2011

Association of secondhand smoke exposures with DNA methylation in bladder carcinomas.

Charlotte Wilhelm-Benartzi; Brock C. Christensen; Devin C. Koestler; E. Andres Houseman; Alan R. Schned; Margaret R. Karagas; Karl T. Kelsey; Carmen J. Marsit

BackgroundThe association between secondhand smoke (SHS) exposure and bladder cancer is inconclusive. Epigenetic alterations in bladder tumors have been linked to primary cigarette smoking and could add to the biological plausibility of an association between SHS exposure and bladder cancer.HypothesisSHS exposure is associated with DNA methylation in bladder tumors.MethodsUsing an array-based approach, we profiled DNA methylation from never smoking cases of incident bladder cancer. Analyses examined associations between individual loci’s methylation with SHS variables (exposure in adulthood, childhood, occupationally, and total exposure). A canonical pathway analysis was used to find pathways significantly associated with each SHS exposure type.ResultsThere is a trend toward increased methylation of numerous CpG loci with increasing exposure to adulthood, occupational, and total SHS. Discrete associations between methylation extent of several CpG loci and SHS exposures demonstrated significantly increased methylation of these loci across all types of SHS exposure. CpGs with SHS-related methylation alterations were associated with genes in pathways involved in carcinogenesis, immune modulation, and immune signaling.InterpretationExposures to SHS in adulthood, childhood, occupationally, and in total are each significantly associated with changes in DNA methylation of several CpG loci in bladder tumors, adding biological plausibility to SHS as a risk factor for bladder cancer.

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Robert Brown

Imperial College London

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Jane Borley

Imperial College London

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C. Lees

Imperial College London

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Ed Curry

Imperial College London

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