Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Evelyn Despierre is active.

Publication


Featured researches published by Evelyn Despierre.


JAMA | 2012

Association between BRCA1 and BRCA2 mutations and survival in women with invasive epithelial ovarian cancer

Kelly L. Bolton; Georgia Chenevix-Trench; Cindy Goh; Siegal Sadetzki; Susan J. Ramus; Beth Y. Karlan; Diether Lambrechts; Evelyn Despierre; Daniel Barrowdale; Lesley McGuffog; Sue Healey; Douglas F. Easton; Olga M. Sinilnikova; Javier Benitez; María J. García; Susan L. Neuhausen; Mitchell H. Gail; Patricia Hartge; Susan Peock; Debra Frost; D. Gareth Evans; Rosalind Eeles; Andrew K. Godwin; Mary B. Daly; Ava Kwong; Edmond S K Ma; Conxi Lázaro; Ignacio Blanco; Marco Montagna; Emma D'Andrea

CONTEXT Approximately 10% of women with invasive epithelial ovarian cancer (EOC) carry deleterious germline mutations in BRCA1 or BRCA2. A recent article suggested that BRCA2-related EOC was associated with an improved prognosis, but the effect of BRCA1 remains unclear. OBJECTIVE To characterize the survival of BRCA carriers with EOC compared with noncarriers and to determine whether BRCA1 and BRCA2 carriers show similar survival patterns. DESIGN, SETTING, AND PARTICIPANTS A pooled analysis of 26 observational studies on the survival of women with ovarian cancer, which included data from 1213 EOC cases with pathogenic germline mutations in BRCA1 (n = 909) or BRCA2 (n = 304) and from 2666 noncarriers recruited and followed up at variable times between 1987 and 2010 (the median year of diagnosis was 1998). MAIN OUTCOME MEASURE Five-year overall mortality. RESULTS The 5-year overall survival was 36% (95% CI, 34%-38%) for noncarriers, 44% (95% CI, 40%-48%) for BRCA1 carriers, and 52% (95% CI, 46%-58%) for BRCA2 carriers. After adjusting for study and year of diagnosis, BRCA1 and BRCA2 mutation carriers showed a more favorable survival than noncarriers (for BRCA1: hazard ratio [HR], 0.78; 95% CI, 0.68-0.89; P < .001; and for BRCA2: HR, 0.61; 95% CI, 0.50-0.76; P < .001). These survival differences remained after additional adjustment for stage, grade, histology, and age at diagnosis (for BRCA1: HR, 0.73; 95% CI, 0.64-0.84; P < .001; and for BRCA2: HR, 0.49; 95% CI, 0.39-0.61; P < .001). The BRCA1 HR estimate was significantly different from the HR estimated in the adjusted model (P for heterogeneity = .003). CONCLUSION Among patients with invasive EOC, having a germline mutation in BRCA1 or BRCA2 was associated with improved 5-year overall survival. BRCA2 carriers had the best prognosis.


Oncogene | 2013

miR-141 regulates KEAP1 and modulates cisplatin sensitivity in ovarian cancer cells

M T M van Jaarsveld; Jozien Helleman; Antonius Wm Boersma; P F van Kuijk; W F J van IJcken; Evelyn Despierre; Ignace Vergote; Ron H.J. Mathijssen; E. M. J. J. Berns; Jaap Verweij; Joris Pothof; Erik A.C. Wiemer

Epithelial ovarian cancer is the most lethal gynecological malignancy in the Western world. A major impediment for the successful treatment is the development of drug resistance. The molecular processes that contribute to resistance have been extensively studied; however, there is not much known about regulation by microRNAs (miRNAs). We compared miRNA expression profiles of an isogenic cisplatin-sensitive and -resistant ovarian cancer cell line pair (A2780/A2780 DDP) and found 27 miRNAs to be differentially expressed (⩾2-fold). Five of these, including the family members miR-141/200c, showed a correlation with cisplatin sensitivity in the NCI-60 panel. Overexpression of miR-141 resulted in enhanced resistance to cisplatin in ovarian cancer cell lines. We next correlated the expression level of miR-141 in 132 primary ovarian tumors (108 serous and 24 non-serous) with response to platinum-based chemotherapy. Although no differences were observed in the serous tumors, miR-141 levels were higher in non-serous ovarian tumors that did not respond well to therapy (platinum-free interval <6 months). We demonstrate that miR-141 directly targets KEAP1, and that downregulation of KEAP1 induces cisplatin resistance. Conversely, overexpression of KEAP1 significantly enhanced cisplatin sensitivity. Expression of KEAP1 with its 3′-UTR, and a 3′-UTR in which the miR-141 target site has been mutated, revealed that miR-141 regulates KEAP1 upon exposure to cisplatin. Finally, we show that the NF-κB pathway, which can be regulated by KEAP1, is activated upon miR-141 overexpression, and that inhibition of this pathway partially reverses miR-141-mediated cisplatin resistance. These findings demonstrate that the miR-141-mediated regulation of KEAP1 has a crucial role in the cellular response to cisplatin.


Journal of Clinical Oncology | 2014

Randomized Phase III Study of Erlotinib Versus Observation in Patients With No Evidence of Disease Progression After First-Line Platin-Based Chemotherapy for Ovarian Carcinoma: A European Organisation for Research and Treatment of Cancer-Gynaecological Cancer Group, and Gynecologic Cancer Intergroup Study

Ignace Vergote; Antonio Jimeno; Florence Joly; Dionyssios Katsaros; Corneel Coens; Evelyn Despierre; Christian Marth; Marcia Hall; Christopher Steer; Nicoletta Colombo; Anne Lesoin; Antonio Casado; Alexander Reinthaller; John Green; Martin Buck; Isabelle Ray-Coquard; Annamaria Ferrero; Laure Favier; Nick Reed; Hervé Curé; Eric Pujade-Lauraine

PURPOSE This trial evaluated the efficacy of maintenance erlotinib, an epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor, after first-line chemotherapy. PATIENTS AND METHODS Eligible patients had high-risk International Federation of Gynecology and Obstetrics stage I or stage II to IV epithelial ovarian, primary peritoneal, or fallopian tube cancer and were not selected for EGFR expression. All patients underwent first-line platinum-based chemotherapy (CT) and showed no signs of progression at the end of CT. Patients were randomly assigned to maintenance erlotinib 150 mg orally daily for 2 years or to observation. EGFR immunohistochemistry (IHC), fluorescent in situ hybridization (FISH), and mutation analyses were performed in 318 patients. RESULTS Between October 2005 and February 2008, 835 patients were randomly assigned (median follow-up, 51 months). Twenty-six percent of the patients stopped erlotinib as a result of adverse effects (of these, 67% were due to rash). For erlotinib and observation, respectively, the median progression-free survival was 12.7 and 12.4 months (hazard ratio [HR], 1.05; 95% CI, 0.90 to 1.23), and the median overall survival was 50.8 and 59.1 months (HR, 0.99; 95% CI, 0.81 to 1.20 months), respectively. No subgroup could be identified with improved effect of erlotinib, based on IHC or FISH for EGFR, or mutations in genes related to the EGFR pathway, or on rash during erlotinib therapy. However, patients with a positive FISH EGFR score had a worse overall survival (46.1 months) than those with a negative score (67.0 months; HR, 1.56; 95% CI, 1.01 to 2.40; P = .044). Global health/quality-of-life scores showed a significant difference during the first year (P = .0102) in favor of the observation arm. CONCLUSION Maintenance erlotinib after first-line treatment in ovarian cancer did not improve progression-free or overall survival.


Gynecologic Oncology | 2010

The molecular genetic basis of ovarian cancer and its roadmap towards a better treatment

Evelyn Despierre; Diether Lambrechts; Patrick Neven; Frédéric Amant; Sandrijne Lambrechts; Ignace Vergote

OBJECTIVES Ovarian cancer remains a major health problem for women. Although there is considerable clinico-pathological heterogeneity, the molecular genetic basis of ovarian cancer remains poorly understood. Recently, high-resolution genomic maps generated by genome-wide SNP analyses and novel sequencing technologies, have started to dissect the genetic basis of ovarian cancer. METHODS Here, we will describe our first insights on how somatic mutations may contribute to the diagnostic re-classification of ovarian cancer. We will discuss how copy number alterations and epigenetic changes represent promising biomarkers to predict resistance to treatment in ovarian cancer, and will also highlight how some of the recently-discovered microRNAs might represent interesting therapeutic targets for ovarian cancer. RESULTS AND CONCLUSIONS Future studies, such as the Cancer Genome Atlas Project, involving a large number of ovarian tumors and combining various high-throughput genetic technologies with sophisticated integrative bioinformatic analyses, will be required and are expected to fine-map the full genetic spectrum of ovarian cancer. It is hoped, however, that once the molecular genetic basis of ovarian cancer is understood, this will lead to better and personalized treatments for ovarian cancer.


PLOS ONE | 2011

Functional Polymorphisms in the TERT Promoter Are Associated with Risk of Serous Epithelial Ovarian and Breast Cancers

Jonathan Beesley; Hilda A. Pickett; Sharon E. Johnatty; Alison M. Dunning; Xiaoqing Chen; Jun Li; Kyriaki Michailidou; Yi Lu; David N. Rider; Rachel T. Palmieri; Michael D. Stutz; Diether Lambrechts; Evelyn Despierre; Sandrina Lambrechts; Ignace Vergote; Jenny Chang-Claude; Stefan Nickels; Alina Vrieling; Dieter Flesch-Janys; Shan Wang-Gohrke; Ursula Eilber; Natalia Bogdanova; Natalia Antonenkova; Ingo B. Runnebaum; Thilo Dörk; Marc T. Goodman; Galina Lurie; Lynne R. Wilkens; Rayna K. Matsuno; Lambertus A. Kiemeney

Genetic variation at the TERT-CLPTM1L locus at 5p15.33 is associated with susceptibility to several cancers, including epithelial ovarian cancer (EOC). We have carried out fine-mapping of this region in EOC which implicates an association with a single nucleotide polymorphism (SNP) within the TERT promoter. We demonstrate that the minor alleles at rs2736109, and at an additional TERT promoter SNP, rs2736108, are associated with decreased breast cancer risk, and that the combination of both SNPs substantially reduces TERT promoter activity.


Gynecologic Oncology | 2013

Folate receptor alpha (FRA) expression remains unchanged in epithelial ovarian and endometrial cancer after chemotherapy

Evelyn Despierre; Sandrina Lambrechts; Karin Leunen; Patrick Berteloot; Patrick Neven; Frédéric Amant; Daniel J. O'Shannessy; E B Somers; Ignace Vergote

OBJECTIVE Based on its expression profile, folate receptor alpha (FRA) is an attractive candidate for targeted diagnostics and therapeutics. However, applicability of these agents in residual or recurrent disease could be influenced by chemotherapy. We evaluated whether chemotherapy modified FRA expression in non-mucinous epithelial ovarian (EOC) and endometrial carcinoma (EC). METHODS FRA staining was evaluated by immunohistochemistry, using MAb 26B3, in 81 patients (41 EOCs and 40 ECs) and 17 control tissues (5 benign ovarian cysts, 5 normal ovarian, and 7 normal endometrial tissues). Chemotherapy effect was evaluated in 42 patients (30 paired samples at primary and interval debulking surgery and 12 from primary and recurrent disease). FRA expression was assessed using a semi-quantitative staining algorithm, the M-score (range 0-50). RESULTS Median difference in M-score between tumor and control samples was 27.5 for EOC (95% CI 10.0 to 45.0) and 6.7 for EC (95% CI -6.7 to 21.7). Paired samples from both primary and interval debulking surgery did not differ in FRA expression in EOC (median difference of M-score between paired samples of 0.0 [95% CI -2.6 to 2.6]). Recurrent EOC tumors reflected FRA status at diagnosis (median difference of M-score between paired samples of 3.3 [95% CI -7.0 to 13.6]). CONCLUSIONS This study shows no significant difference in FRA expression after chemotherapy, strengthening the rationale for FRA targeted diagnostics and therapeutics in FRA expressing tumors, whether newly diagnosed or at recurrence.


Cancer Epidemiology, Biomarkers & Prevention | 2011

Assessment of Hepatocyte Growth Factor in Ovarian Cancer Mortality

Ellen L. Goode; Georgia Chenevix-Trench; Lynn C. Hartmann; Brooke L. Fridley; Kimberly R. Kalli; Robert A. Vierkant; Melissa C. Larson; Kristin L. White; Gary L. Keeney; Trynda N. Oberg; Julie M. Cunningham; Jonathan Beesley; Sharon E. Johnatty; Xiaoqing Chen; Katelyn E. Goodman; Sebastian M. Armasu; David N. Rider; Hugues Sicotte; Michele Schmidt; Elaine A. Elliott; Estrid Høgdall; Susanne K. Kjaer; Peter A. Fasching; Arif B. Ekici; Diether Lambrechts; Evelyn Despierre; Claus Høgdall; Lene Lundvall; Beth Y. Karlan; Jenny Gross

Background: Invasive ovarian cancer is a significant cause of gynecologic cancer mortality. Methods: We examined whether this mortality was associated with inherited variation in approximately 170 candidate genes/regions [993 single-nucleotide polymorphisms (SNPs)] in a multistage analysis based initially on 312 Mayo Clinic cases (172 deaths). Additional analyses used The Cancer Genome Atlas (TCGA; 127 cases, 62 deaths). For the most compelling gene, we immunostained Mayo Clinic tissue microarrays (TMA, 326 cases) and conducted consortium-based SNP replication analysis (2,560 cases, 1,046 deaths). Results: The strongest initial mortality association was in HGF (hepatocyte growth factor) at rs1800793 (HR = 1.7, 95% CI = 1.3–2.2, P = 2.0 × 10−5) and with overall variation in HGF (gene-level test, P = 3.7 × 10−4). Analysis of TCGA data revealed consistent associations [e.g., rs5745709 (r2 = 0.96 with rs1800793): TCGA HR = 2.4, CI = 1.4–4.1, P = 2.2 × 10−3; Mayo Clinic + TCGA HR = 1.6, CI = 1.3–1.9, P = 7.0 × 10−5] and suggested genotype correlation with reduced HGF mRNA levels (P = 0.01). In Mayo Clinic TMAs, protein levels of HGF, its receptor MET (C-MET), and phospho-MET were not associated with genotype and did not serve as an intermediate phenotype; however, phospho-MET was associated with reduced mortality (P = 0.01) likely due to higher expression in early-stage disease. In eight additional ovarian cancer case series, HGF rs5745709 was not associated with mortality (HR = 1.0, CI = 0.9–1.1, P = 0.87). Conclusions: We conclude that although HGF signaling is critical to migration, invasion, and apoptosis, it is unlikely that HGF genetic variation plays a major role in ovarian cancer mortality. Furthermore, any minor role is not related to genetically-determined expression. Impact: Our study shows the utility of multiple data types and multiple data sets in observational studies. Cancer Epidemiol Biomarkers Prev; 20(8); 1638–48. ©2011 AACR.


Cancer Epidemiology, Biomarkers & Prevention | 2010

No Association between FTO or HHEX and Endometrial Cancer Risk

Mia M. Gaudet; Hannah P. Yang; Jesus Gonzalez Bosquet; Catherine S. Healey; Shahana Ahmed; Alison M. Dunning; Doug Easton; Amanda B. Spurdle; Kaltin Ferguson; Tracy O'Mara; Diether Lambrechts; Evelyn Despierre; Ignace Vergote; Frédéric Amant; James V. Lacey; J Lissowska; Beata Peplonska; Louise A. Brinton; Stephen J. Chanock; Montserrat Garcia-Closas

Introduction: Obesity and diabetes are known risk factors for endometrial cancer; thus, the genetic risk factors of these phenotypes might also be associated with endometrial cancer risk. To evaluate this hypothesis, we genotyped tag-single nucleotide polymorphisms (SNP) and candidate SNPs in FTO and HHEX in a primary set of 417 endometrial cancer cases and 406 population-based controls, and validated significant findings in a replication set of approximately 2,347 cases and 3,140 controls from three additional studies. Methods: We genotyped 189 tagSNPs in FTO (including rs8050136) and five tagSNPs in HHEX (including rs1111875) in the primary set and one SNP each in FTO (rs12927155) and HHEX (rs1111875) in the validation set. Per allele odds ratios (OR) and 95% confidence intervals (CI) were calculated to estimate the association between the genotypes of each SNPs (as an ordinal variable) and endometrial cancer risk using unconditional logistic regression models, controlling for age and site. Results: In the primary study, the most significant finding in FTO was rs12927155 (OR, 1.56; 95% CI, 1.21-2.01; P = 5.8 × 10−4), and in HHEX, it was rs1111875 (OR, 0.80; 95% CI, 0.66-0.97; P = 0.026). In the validation studies, the pooled per allele OR, adjusted for age and study for FTO, was rs12927155 (OR, 0.94; 95% CI, 0.83-1.06; P = 0.29), whereas for HHEX, it was rs1111875 (OR, 1.00; 95% CI, 0.92-1.10; P = 0.96). Conclusion: Our data indicate that common genetic variants in two genes previously related to obesity (FTO) and diabetes (HHEX) by genome-wide association scans were not associated with endometrial cancer risk. Impact: Polymorphisms in FTO and HHEX are unlikely to have large effects on endometrial cancer risk but may have weaker effects. Cancer Epidemiol Biomarkers Prev; 19(8); 2106–9. ©2010 AACR.


BMC Clinical Pharmacology | 2015

Genetic variability in drug transport, metabolism or DNA repair affecting toxicity of chemotherapy in ovarian cancer

Sandrina Lambrechts; Diether Lambrechts; Evelyn Despierre; Els Van Nieuwenhuysen; Dominiek Smeets; Philip R. Debruyne; Vincent Renard; Philippe Vroman; Daisy Luyten; Patrick Neven; Frédéric Amant; Karin Leunen; Ignace Vergote

BackgroundThis study aimed to determine whether single nucleotide polymorphisms (SNPs) in genes involved in DNA repair or metabolism of taxanes or platinum could predict toxicity or response to first-line chemotherapy in ovarian cancer.MethodsTwenty-six selected SNPs in 18 genes were genotyped in 322 patients treated with first-line paclitaxel-carboplatin or carboplatin mono-therapy. Genotypes were correlated with toxicity events (anemia, neutropenia, thrombocytopenia, febrile neutropenia, neurotoxicity), use of growth factors and survival.ResultsThe risk of anemia was increased for variant alleles of rs1128503 (ABCB1, C > T; p = 0.023, OR = 1.71, 95% CI = 1.07-2.71), rs363717 (ABCA1, A > G; p = 0.002, OR = 2.08, 95% CI = 1.32-3.27) and rs11615 (ERCC1, T > C; p = 0.031, OR = 1.61, 95% CI = 1.04-2.50), while it was decreased for variant alleles of rs12762549 (ABCC2, C > G; p = 0.004, OR = 0.51, 95% CI = 0.33-0.81). Likewise, increased risk of thrombocytopenia was associated with rs4986910 (CYP3A4, T > C; p = 0.025, OR = 4.99, 95% CI = 1.22-20.31). No significant correlations were found for neurotoxicity. Variant alleles of rs2073337 (ABCC2, A > G; p = 0.039, OR = 0.60, 95% CI = 0.37-0.98), rs1695 (ABCC1, A > G; p = 0.017, OR = 0.55, 95% CI 0.33-0.90) and rs1799793 (ERCC2, G > A; p = 0.042, OR = 0.63, 95% CI 0.41-0.98) associated with the use of colony stimulating factors (CSF), while rs2074087 (ABCC1, G > C; p = 0.011, OR = 2.09, 95% CI 1.18-3.68) correlated with use of erythropoiesis stimulating agents (ESAs). Homozygous carriers of the rs1799793 (ERCC2, G > A) G-allele had a prolonged platinum-free interval (p = 0.016).ConclusionsOur data reveal significant correlations between genetic variants of transport, hepatic metabolism, platinum related detoxification or DNA damage repair and toxicity or outcome in ovarian cancer.


Gynecologic Oncology | 2014

Somatic copy number alterations predict response to platinum therapy in epithelial ovarian cancer

Evelyn Despierre; Matthieu Moisse; Betül Yesilyurt; Jalid Sehouli; Ioana Braicu; Sven Mahner; Dan Cacsire Castillo-Tong; Robert Zeillinger; Sandrina Lambrechts; Karin Leunen; Frédéric Amant; Philippe Moerman; Diether Lambrechts; Ignace Vergote

OBJECTIVE Platinum resistance remains an obstacle in the treatment of epithelial ovarian cancer (EOC). The goal of this study was to profile EOCs for somatic copy number alterations (SCNAs) as predictive markers of platinum response. METHODS SCNAs were assessed in a discovery (n=86) and validation cohort (n=115) of high risk stage I or stage II-IV EOCs using high-resolution SNP arrays. ASCAT and GISTIC identified all significantly overrepresented amplified or deleted chromosomal regions. Cox regression and univariate analysis assessed which SCNAs correlated with overall survival (OS), progression-free survival (PFS), platinum-free interval (PFI) and platinum response. Relevant SCNAs were also assessed in a pooled analysis involving both cohorts and published SCNA data from The Cancer Genome Atlas (TCGA; n=227). RESULTS We identified 53 regions to be significantly overrepresented in EOC. Of these, 6 were associated with OS, PFS or PFI in the discovery cohort at P<0.05. In the validation cohort, amplifications of chromosomal region 14q32.33, which contains AKT1 as a potential driver gene, also correlated with OS (OR=1.670; P=0.018). In a pooled analysis of 428 tumors, involving the discovery, validation and TCGA cohorts, 14q32.33 amplifications significantly reduced OS, PFS and PFI (HR=2.69, P=1.7×10(-4); HR=1.82, P=1.9×10(-2) and HR=1.80, P=2.2×10(-2) respectively). Moreover, AKT1 mRNA expression correlated with the number of chromosomal copies of the 14q32.33 region (P=2.8×10(-11);R(2)=0.26). CONCLUSIONS We established that amplifications in 14q32.33 were associated with reduced OS, PFS, PFI and platinum resistance in three independent cohorts, suggesting that AKT1 amplifications act as a potentially predictive marker for EOC treated with platinum-based chemotherapy.

Collaboration


Dive into the Evelyn Despierre's collaboration.

Top Co-Authors

Avatar

Ignace Vergote

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar

Diether Lambrechts

Flanders Institute for Biotechnology

View shared research outputs
Top Co-Authors

Avatar

Frédéric Amant

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar

Jonathan Beesley

QIMR Berghofer Medical Research Institute

View shared research outputs
Top Co-Authors

Avatar

Sharon E. Johnatty

QIMR Berghofer Medical Research Institute

View shared research outputs
Top Co-Authors

Avatar

Beth Y. Karlan

Cedars-Sinai Medical Center

View shared research outputs
Top Co-Authors

Avatar

Sandrina Lambrechts

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar

Peter A. Fasching

University of Erlangen-Nuremberg

View shared research outputs
Top Co-Authors

Avatar

Georgia Chenevix-Trench

QIMR Berghofer Medical Research Institute

View shared research outputs
Top Co-Authors

Avatar

Xiaoqing Chen

QIMR Berghofer Medical Research Institute

View shared research outputs
Researchain Logo
Decentralizing Knowledge