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9 results on '"Esther Pohl-Rescigno"'

1. Germline loss-of-function variants in the BARD1 gene are associated with early-onset familial breast cancer but not ovarian cancer

Author

Nana Weber-Lassalle, Julika Borde, Konstantin Weber-Lassalle, Judit Horváth, Dieter Niederacher, Norbert Arnold, Silke Kaulfuß, Corinna Ernst, Victoria G. Paul, Ellen Honisch, Kristina Klaschik, Alexander E. Volk, Christian Kubisch, Steffen Rapp, Nadine Lichey, Janine Altmüller, Louisa Lepkes, Esther Pohl-Rescigno, Holger Thiele, Peter Nürnberg, Mirjam Larsen, Lisa Richters, Kerstin Rhiem, Barbara Wappenschmidt, Christoph Engel, Alfons Meindl, Rita K. Schmutzler, Eric Hahnen, and Jan Hauke

Subjects
Early onset breast cancer, Ovarian cancer, BARD1, Germline mutations, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background The role of the BARD1 gene in breast cancer (BC) and ovarian cancer (OC) predisposition remains elusive, as published case-control investigations have revealed controversial results. We aimed to assess the role of deleterious BARD1 germline variants in BC/OC predisposition in a sample of 4920 BRCA1/2-negative female BC/OC index patients of the German Consortium for Hereditary Breast and Ovarian Cancer (GC-HBOC). Methods A total of 4469 female index patients with BC, 451 index patients with OC, and 2767 geographically matched female control individuals were screened for loss-of-function (LoF) mutations and potentially damaging rare missense variants in BARD1. All patients met the inclusion criteria of the GC-HBOC for germline testing and reported at least one relative with BC or OC. Additional control datasets (Exome Aggregation Consortium, ExAC; Fabulous Ladies Over Seventy, FLOSSIES) were included for the calculation of odds ratios (ORs). Results We identified LoF variants in 23 of 4469 BC index patients (0.51%) and in 36 of 37,265 control individuals (0.10%), resulting in an OR of 5.35 (95% confidence interval [CI] = 3.17–9.04; P

Published
2019
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2. Clonal Hematopoiesis–Associated Gene Mutations in a Clinical Cohort of 448 Patients With Ovarian Cancer

Author

Konstantin Weber-Lassalle, Corinna Ernst, Alexander Reuss, Kathrin Möllenhoff, Klaus Baumann, Christian Jackisch, Jan Hauke, Dimo Dietrich, Julika Borde, Tjoung-Won Park-Simon, Lars Hanker, Katharina Prieske, Sandra Schmidt, Nana Weber-Lassalle, Esther Pohl-Rescigno, Stefan Kommoss, Frederik Marmé, Florian Heitz, Julia C Stingl, Rita K Schmutzler, Philipp Harter, and Eric Hahnen

Subjects
Cancer Research, Oncology
Abstract

Background Cancer patients are at risk of secondary therapy–related myeloid neoplasms (t-MNs). Acquired blood-specific mutations in clonal hematopoiesis (CH)–associated genes are t-MN risk factors, and their occurrence associated with cancer therapy and age. Patients with ovarian cancer (OC) showed a particularly high prevalence of CH–associated gene mutations, which may additionally be explained by the high proportion of a hereditary disease cause in this cancer entity. Methods We performed a retrospective analysis of 448 OC patients enrolled in the AGO-TR1 study; 249 were enrolled at primary diagnosis and 199 at platinum-sensitive recurrence. Analyses included the most frequently altered CH–associated genes (ASXL1, DNMT3A, GNAS, JAK2, PPM1D, SF3B1, SH2B3, SRSF2, TET2, TP53). Results were analyzed according to the BRCA1/2 germline (gBRCA1/2) mutation status. All statistical tests were 2-sided. Results Advanced age at blood draw and a high number of prior platinum-based chemotherapy lines were risk factors to acquire CH–associated gene mutations, with gene-specific effects observed. Binomial logistic regression suggested increased probabilities for gBRCA1/2 mutation carriers to acquire CH-associated PPM1D and TP53 gene mutations (PPM1D: odds ratio = 4.30, 95% confidence interval = 1.48 to 12.46, P = .007; TP53: odds ratio = 6.20, 95% confidence interval = 0.98 to 53.9, P = .06). This observation was due to a statistically significantly increased number of platinum-based chemotherapy lines in gBRCA1/2 mutation carriers vs noncarriers (PPM1D: mean [SD] = 2.04 [1.27] vs 1.04 [0.99], P Conclusions A positive gBRCA1/2 mutation status is not a risk factor to acquire CH–associated gene mutations. OC patients may benefit from monitoring CH–associated gene mutations, especially following carboplatin exposure. Future clinical studies are required to assess whether treatment regimen should be adapted according to individual t-MN risks.

Published
2021

3. Survival analysis of the randomised phase III GeparOcto trial comparing neoadjuvant chemotherapy of intense dose-dense epirubicin, paclitaxel, cyclophosphamide versus weekly paclitaxel, liposomal doxorubicin (plus carboplatin in triple-negative breast cancer) for patients with high-risk early breast cancer

Author

Esther Pohl-Rescigno, Peter Klare, Gbg, Kristina Lübbe, Michael Untch, Kerstin Rhiem, Carsten Denkert, Jens Huober, Hans Tesch, Andreas Schneeweiss, Sibylle Loibl, Christian Jackisch, Karin Kast, Rita K. Schmutzler, Christine Solbach, Theresa Link, Valentina Nekljudova, L Michel, Peter A. Fasching, Claus Hanusch, Eric Hahnen, Volker Möbus, Ago-B, and Jens-Uwe Blohmer

Subjects
Cancer Research, medicine.medical_specialty, Paclitaxel, medicine.medical_treatment, Triple Negative Breast Neoplasms, Gastroenterology, Loading dose, Polyethylene Glycols, chemistry.chemical_compound, Breast cancer, Trastuzumab, Risk Factors, Internal medicine, Antineoplastic Combined Chemotherapy Protocols, medicine, Humans, Cyclophosphamide, Triple-negative breast cancer, Epirubicin, Chemotherapy, business.industry, medicine.disease, Survival Analysis, Carboplatin, Oncology, chemistry, Doxorubicin, Female, Pertuzumab, business, medicine.drug
Abstract

Background GeparOcto demonstrated that pathological complete response (pCR) of intense dose-dense epirubicin, paclitaxel and cyclophosphamide (iddEPC) was comparable to weekly paclitaxel/non-pegylated liposomal doxorubicin (plus carboplatin (PM(Cb) in triple-negative breast cancer [TNBC]) in high-risk early breast cancer (BC). Here, we report time-to-event secondary end-points. Patients and methods Patients were randomised to receive 18 weeks of E (150 mg/m2) followed by P (225 mg/m2) followed by C (2000 mg/m2), each q2w or weekly P (80 mg/m2) plus M (20 mg/m2) plus, in TNBC, Cb (AUC 1.5). Patients with human epidermal growth factor receptor 2-positive (HER2+)BC received trastuzumab (6[loading dose 8]mg/kg q3w) and pertuzumab (420[840]mg q3w) with P and C cycles. Results 945 patients started treatment (iddEPC n = 470; PM(Cb) n = 475). After a median follow-up of 47.0 (range 1.6-61.5) months, 162 (75 in iddEPC; 87 in PM(Cb)) invasive disease-free survival (iDFS) events and 79 (41 in iddEPC; 38 in PM(Cb)) deaths were reported. No significant difference was observed in 4-year iDFS (81.9% iddEPC versus 79.7% PM(Cb), HR = 1.16 [95%CI 0.85-1.59], log-rank p = 0.334) or 4-year overall survival (OS) (90.3% iddEPC versus 90.6% PM(Cb), HR = 0.90 [95%CI 0.58-1.40], log-rank p = 0.637) overall and in HER2+ and TNBC subgroups. HR+/HER2- BC patients, however, had significantly better 4-year iDFS (77.9% iddEPC versus 62.5% PM, HR = 2.11 [95%CI 1.08-4.10], log-rank p = 0.025) and 4-year OS with iddEPC (94.7% iddEPC versus 80.1% PM, HR = 3.26 [95%CI 1.06-10.00], log-rank p = 0.029). Conclusion While there was no difference in survival for the entire cohort, the HR+/HER2-subgroup significantly benefits from iddEPC. This supports the concept of an additional effect of NACT beyond pCR in patients with HR+/HER2- BC. CLINICALTRIALS. Gov identifier NCT02125344.

Published
2021

4. Diagnosis of Li-Fraumeni Syndrome: Differentiating TP53 germline mutations from clonal hematopoiesis

Author

Jan Hauke, Christoph Engel, Esther Pohl-Rescigno, Stefan Kommoss, Philipp Harter, Julia C. Stingl, Julika Borde, Frederik Marmé, Dimo Dietrich, Nana Weber-Lassalle, Eric Hahnen, Katharina Prieske, Rita K. Schmutzler, Corinna Ernst, Beyhan Ataseven, Konstantin Weber-Lassalle, and Alexander Reuss

Subjects
Adult, 0301 basic medicine, Oncology, medicine.medical_specialty, endocrine system diseases, medicine.medical_treatment, Biology, Li-Fraumeni Syndrome, 03 medical and health sciences, 0302 clinical medicine, Germline mutation, Internal medicine, Genetics, medicine, Humans, Genetic Predisposition to Disease, neoplasms, Gene, Early Detection of Cancer, Germ-Line Mutation, Genetics (clinical), Aged, Chemotherapy, Case-control study, DNA, Neoplasm, Middle Aged, medicine.disease, Hematopoiesis, Haematopoiesis, 030104 developmental biology, Li–Fraumeni syndrome, Case-Control Studies, 030220 oncology & carcinogenesis, Female, Observational study, Tumor Suppressor Protein p53, Ovarian cancer
Abstract

The Li-Fraumeni cancer predisposition syndrome (LFS1) presents with a variety of tumor types and the TP53 gene is covered by most diagnostic cancer gene panels. We demonstrate that deleterious TP53 variants identified in blood-derived DNA of 523 patients with ovarian cancer (AGO-TR1 trial) were not causal for the patients' ovarian cancer in three out of six TP53-positive cases. In three out of six patients, deleterious TP53 mutations were identified with low variant fractions in blood-derived DNA but not in the tumor of the patient seeking advice. The analysis of the TP53 and PPM1D genes, both intimately involved in chemotherapy-induced and/or age-related clonal hematopoiesis (CH), in 523 patients and 1,053 age-matched female control individuals revealed that CH represents a frequent event following chemotherapy, affecting 26 of the 523 patients enrolled (5.0%). Considering that TP53 mutations may arise from chemotherapy-induced CH, our findings help to avoid false-positive genetic diagnoses of LFS1.

Published
2018

6. Association of Germline Variant Status With Therapy Response in High-risk Early-Stage Breast Cancer: A Secondary Analysis of the GeparOcto Randomized Clinical Trial

Author

Kristina Lübbe, Valentina Nekljudova, Esther Pohl-Rescigno, Christian Jackisch, Nana Weber-Lassalle, Kerstin Rhiem, Michael Untch, Holger Thiele, Jenny Furlanetto, Volker Möbus, Corinna Ernst, Bianca Lederer, Claus Hanusch, Peter A. Fasching, Andreas Schneeweiss, Jan Hauke, Mohamad Kayali, Volkmar Müller, Peter Nürnberg, Sibylle Loibl, Hans Tesch, Rita K. Schmutzler, Eric Hahnen, Janine Altmüller, and Carsten Denkert

Subjects
Oncology, Adult, Cancer Research, medicine.medical_specialty, Breast Neoplasms, law.invention, 03 medical and health sciences, chemistry.chemical_compound, Young Adult, 0302 clinical medicine, Breast cancer, Randomized controlled trial, law, Internal medicine, Medicine, Humans, 030212 general & internal medicine, Prospective cohort study, Triple-negative breast cancer, Germ-Line Mutation, Aged, Neoplasm Staging, Retrospective Studies, business.industry, Brief Report, Odds ratio, Middle Aged, medicine.disease, Chemotherapy regimen, Carboplatin, chemistry, 030220 oncology & carcinogenesis, Female, business, Epirubicin, medicine.drug
Abstract

IMPORTANCE: The GeparOcto randomized clinical trial compared the efficacy of 2 neoadjuvant breast cancer (BC) treatment regimens: sequential intense dose-dense epirubicin, paclitaxel, and cyclophosphamide (iddEPC) vs weekly paclitaxel and nonpegylated liposomal doxorubicin (PM) in patients with different biological BC subtypes. Patients with triple-negative BC (TNBC) randomized to the PM arm received additional carboplatin (PMCb). Overall, no difference in pathologic complete response (pCR) rates was observed between study arms. It remained elusive whether the germline variant status of BRCA1/2 and further BC predisposition genes are associated with treatment outcome. OBJECTIVE: To determine treatment outcome for BC according to germline variant status. DESIGN, SETTING, AND PARTICIPANTS: This retrospective biomarker study is a secondary analysis of the GeparOcto multicenter prospective randomized clinical trial conducted between December 2014 and June 2016. Genetic analyses assessing for variants in BRCA1/2 and 16 other BC predisposition genes in 914 of 945 women were performed at the Center for Familial Breast and Ovarian Cancer, Cologne, Germany, from August 2017 through December 2018. MAIN OUTCOMES AND MEASURES: Proportion of patients who achieved pCR (ypT0/is ypN0 definition) after neoadjuvant treatment according to germline variant status. RESULTS: In the study sample of 914 women with different BC subtypes with a mean (range) age at BC diagnosis of 48 (21-76) years, overall higher pCR rates were observed in patients with BRCA1/2 variants than in patients without (60.4% vs 46.7%; odds ratio [OR], 1.74; 95% CI, 1.13-2.68; P = .01); variants in non-BRCA1/2 BC predisposition genes were not associated with therapy response. Patients with TNBC with BRCA1/2 variants achieved highest pCR rates. In the TNBC subgroup, a positive BRCA1/2 variant status was associated with therapy response in both the PMCb arm (74.3% vs 47.0% without BRCA1/2 variant; OR, 3.26; 95% CI, 1.44-7.39; P = .005) and the iddEPC arm (64.7% vs 45.0%; OR, 2.24; 95% CI, 1.04-4.84; P = .04). A positive BRCA1/2 variant status was also associated with elevated pCR rates in patients with ERBB2-negative, hormone receptor–positive BC (31.8% vs 11.9%; OR, 3.44; 95% CI, 1.22-9.72; P = .02). CONCLUSIONS AND RELEVANCE: Effective chemotherapy for BRCA1/2-mutated TNBC is commonly suggested to be platinum based. With a pCR rate of 64.7%, iddEPC may also be effective in these patients, though further prospective studies are needed. The elevated pCR rate in BRCA1/2-mutated ERBB2-negative, hormone receptor–positive BC suggests that germline BRCA1/2 testing should be considered prior to treatment start. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02125344

Published
2020

7. Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification

Author

Luigi Mori, Sara González, Elia Grau, Dieter Niederacher, Alexandra C. Kölbl, Ares Solanes, Cassandra B. Nichols, Marine Guillaud-Bataille, Ulrike Schoenwiese, Katherine L. Nathanson, Alfons Meindl, Ellen Honisch, Hans Ehrencrona, Ute Enders, Anke Waha, Trinidad Caldés, Inge Søkilde Pedersen, Ana Blanco, Emma Tudini, Conxi Lázaro, Paolo Radice, Torben A Kruse, María Concepción Alonso-Cerezo, Chantal Farra, Shan Wang-Gohrke, Wilko Weichert, Heli Nevanlinna, Setareh Moghadasi, Bernd Auber, Carla Bruzzone, Aliana Guerrieri-Gonzaga, Sabine Grill, Raymonda Varon, Nicolas Derive, Ana Vega, Nicolai Maass, Åke Borg, Cora M. Aalfs, Nadia Naldi, Silvia Iglesias, Kai Ren Ong, Encarna B. Gomez Garcia, Karl Hackmann, Emma R. Woodward, Norbert Arnold, David E. Goldgar, Bernard Peissel, Karolin Bucksch, Berardino Porfirio, Françoise Révillion, Angel Izquierdo, Isabell Witzel, Sebastian Wagner, Silke Zachariae, Elisa Alducci, Mads Thomassen, Jesús del Valle, Valentina Zampiga, Kerstin Rhiem, Lidia Moserle, Edenir Inêz Palmero, Maaike P.G. Vreeswijk, Christoph Mundhenke, Laura Papi, Alejandro Moles-Fernández, Paula Rofes, Ulrike Faust, Andrea Gehrig, Sandrine M. Caputo, Logan C. Walker, Fiona Lalloo, Ute Felbor, Joan Brunet, Henriette Roed Nielsen, Sean V. Tavtigian, Beatrice Bortesi, Thomas Hansen, Maria Grazia Tibiletti, Estela Carrasco, Lisa Wiesmüller, Viviana Gismondi, Sophie Krieger, Pedro Pérez-Segura, Esther Pohl-Rescigno, Emanuela Lucci-Cordisco, Barbara Wappenschmidt, Rui Manuel Reis, Gabriele Lorenzo Capone, Ileana Carnevali, Christi J. van Asperen, KCon Fab Investigators, Jochen Seggewiß, Rhiannon J. Walters, Irmgard Debatin, Susan M. Domchek, Marco Montagna, Francesca Gensini, Kristiina Aittomäki, Véronique Dutrannoy, Arcangela De Nicolo, Giulia Cagnoli, Elisa J. Cops, Henrique de Campos Reis Galvão, Giulia Cini, Barbara Riboli, Eva Tornero, Paul A. James, Judith Balmaña, Anne-Marie Gerdes, Heide Hellebrand, Miriam Fine, Mathias Stiller, Aldo Germani, Diana Eccles, Britta Blümcke, Dominique Stoppa-Lyonnet, Elena Leinert, Alexandra Lewis, Daniela Rivera, Verena Hübbel, Fergus J. Couch, Gunnar Schmidt, Katharina Keupp, Bernhard H. F. Weber, Tilman Heinrich, Mariarosaria Calvello, Michael Dean, Udo Jeschke, Vanessa Lattimore, Linda A.M. Janssen, Siranoush Manoukian, Eva Gross, Kelly J. Sullivan, Doris Steinemann, Susanne Ledig, Alessandra Viel, Christoph Engel, Ana Sánchez de Abajo, Nina Ditsch, Sandra Bonache, Maria A. Caligo, Katharina Pfeifer, Thomas Haaf, Christian Sutter, Eric Hahnen, Laura Matricardi, Marc Tischkowitz, Alex Teulé, Katherine M. Tucker, Jutta Giesecke, Silvia Tognazzo, Gemma Montalban, Carolina Gómez, Anders Kvist, Joanna Lim, Alison H. Trainer, Rachel Susman, Judit Horvath, Amanda B. Spurdle, Mirjam Larsen, Therese Törngren, Mónica Salinas, Nicholas Pachter, Rachel Austin, Nicola K. Poplawski, C Zeder-Göß, Juliane Ramser, Julia Ritter, Anne Sophie Vesper, Paola Concolino, D. Gareth Evans, Clemens R. Müller, Matilde Navarro, Sara Torres-Esquius, Claus R. Bartram, Laura Cortesi, Jacopo Azzollini, Marion Harris, Edward M. Clarke, Marion Kiechle, Lídia Feliubadaló, Almuth Caliebe, Karen N. Herold, Charlotte Kvist Lautrup, Anne S. Quante, Gardenia Vargas-Parra, Michael T. Parsons, Pietro Cavalli, Hongyan Li, Rodrigo Augusto Depieri Michelli, Irene Feroce, Achim Wöckel, Kerstin Wieland, Silke Kaulfuß, Soo Hwang Teo, Angela Velasco, Capucine Delnatte, Marta Pineda, Marion van Mackelenbergh, Eva Montes, Angela Toss, Rita K. Schmutzler, William D. Foulkes, Alvaro N.A. Monteiro, Jan Hauke, Monica Marabelli, Miguel de la Hoya, Sara Gutiérrez-Enríquez, Esther Darder, Simona Agata, Amanda E. Toland, Bernardo Bonanni, Liliana Varesco, Orland Diez, Andreas Rump, Virginie Caux-Moncoutier, Gaetana Gambino, Markus Loeffler, Claude Houdayer, Elena Barbieri, Adrià López-Fernández, et. al., Universidade do Minho, QIMR Berghofer Medical Research Institute, Chinese Academy of Geological Sciences [Beijing] (CAGS), Ministry of Land and Resources (MLR), Department of Gynaecology and Obstetrics, University Hospital of Cologne [Cologne]-Centre of Familial Breast and Ovarian Cancer-Centre for Integrated Oncology (CIO), Programa de Càncer Hereditari, Unitat de Diagnòstic Molecular, Laboratori de Recerca Translacional, Institut Català d'Oncologia-IDIBELL, Department of Clinical Genetics, Academic Medical Center - Academisch Medisch Centrum [Amsterdam] (AMC), University of Amsterdam [Amsterdam] (UvA)-University of Amsterdam [Amsterdam] (UvA), Helsinki University Central Hospital, University Hospital of Schleswig-Holstein-Christian-Albrechts-Universität zu Kiel (CAU), Università degli Studi di Milano [Milano] (UNIMI), Medical Oncology Department, Vall d'Hebron University Hospital [Barcelona], Institute of Human Genetics, Universität Heidelberg [Heidelberg], Fundación Pública Galega de Medicina Xenómica-SERGAS & Grupo de Medicina Xenómica-USC, CIBER-ER, Division of Cancer Prevention and Genetics, Department of Oncology, Clinical Sciences, Lund University [Lund]-Skåne University Hospital, Genetic Counseling and Hereditary Cancer Programme, Catalan Institute of Oncology, Molecular Oncology Laboratory, Hospital Clínico San Carlos, Institut Curie [Paris], Programa de Consell Genètic en Càncer, Institut Català d'Oncologia, Girona-IdIBGi, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos [Madrid, Spain] (IdISSC), Centre René Gauducheau, CRLCC René Gauducheau, Institut de biochimie et génétique cellulaires (IBGC), Université Bordeaux Segalen - Bordeaux 2-Centre National de la Recherche Scientifique (CNRS), Oncogenetics Laboratory, Vall d'Hebron Institute of Oncology (VHIO), Ludwig-Maximilians-Universität München (LMU), Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Genetics, University of Southampton, Departament of Genetics and Pathology, Uppsala University-Rudbeck Laboratory, Department of Genomic Medicine, University of Manchester [Manchester], Department of Medical Genetics, Julius-Maximilians-Universität Würzburg [Wurtzbourg, Allemagne] (JMU)-Centre of Familial Breast and Ovarian Cancer, Obstetrics and Gynaecology, Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Institüt für Humangenetik [Würzburg], Julius-Maximilians-Universität Würzburg [Wurtzbourg, Allemagne] (JMU), Heinrich Heine Universität Düsseldorf = Heinrich Heine University [Düsseldorf], Institute of Chemistry [Budapest], Faculty of Sciences [Budapest], Eötvös Loránd University (ELTE)-Eötvös Loránd University (ELTE), Service de Biochimie et de Biologie Moléculaire [CHU Trousseau], CHU Trousseau [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), I. Frauenklinik, Klinikum der Ludwig-Maximilians-Universitaet, Centre Régional de Lutte contre le Cancer François Baclesse [Caen] (UNICANCER/CRLC), Normandie Université (NU)-UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN), Génomique et Médecine Personnalisée du Cancer et des Maladies Neuropsychiatriques (GPMCND), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Department of Biochemistry, Pharmacology and Genetics, Odense University Hospital, Department of Oncology, Lund University [Lund]-Clinical Sciences, Genetic Medicine, Manchester Academic Health Sciences Centre-Central Manchester University Hospitals, Institute for Medical Informatics, Department of Gynecology and Obstetrics, University Medical Center Schleswig-Holstein, Unit of Medical Genetics, Fondazione IRCCS Istituto Nazionale Tumouri (INT), Immunology and Molecular Oncology Unit, Istituto Oncologico Veneto IOV - IRCCS, University Medical Center Kiel, Department of Obstetrics and Gynecology, University Hospital Düsseldorf-Heinrich Heine Universität Düsseldorf = Heinrich Heine University [Düsseldorf], Medical Genetics Unit, Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Department of Biochemistry, Section of Molecular Diagnostics, Laboratoire d'Oncologie Moléculaire Humaine, Centre Régional de Lutte contre le Cancer Oscar Lambret [Lille] (UNICANCER/Lille), Université Lille Nord de France (COMUE)-UNICANCER-Université Lille Nord de France (COMUE)-UNICANCER, Institute of Cell and Molecular Pathology, Medizinische Hochschule Hannover (MHH), University of California [Santa Cruz] (UCSC), University of California, Heidelberg University Hospital [Heidelberg], International Agency for Cancer Research (IACR), Programa de Consejo Genético en Cáncer, Instituto Catalán de Oncología-IDIBELL, L'Hospitalet, Programa de Diagnòstic Molecular de Càncer Hereditari, Laboratori de Recerca Translacional, Institut Català d'Oncologia-IDIBELL, Hospital Duran i Reynals, Hospitalet de Llobregat, Unit of Hereditary Cancers, Istituto Nazionale per la Ricerca sul Cancro, CIBER de Enfermedades Raras (CIBERER), Unit of Experimental Oncology 1, Centro di Riferimento Oncologico, University of Otago [Dunedin, Nouvelle-Zélande], Institute of Pathology, Department of Gynecology, Universitaetsklinikum Hamburg-Eppendorf = University Medical Center Hamburg-Eppendorf [Hamburg] (UKE), King‘s College London, Molecular Diagnostic Unit, IDIBELL-Catalan Institute of Oncology, Unit of Molecular Bases of Genetic Risk and Genetic Testing, Fondazione IRCCS Istituto Nazionale Tumouri (INT)-Fondazione Istituto FIRC di Oncologia Molecolare, Institute for Medical Informatics, Statistics and Epidemiology [Leipzig] (IMISE), Universität Leipzig [Leipzig], Division of Molecular Gynaeco-Oncology, Department of Gynaecology and Obstetrics, Clinical Center University of Cologne, Medicum, Research Programs Unit, Genome-Scale Biology (GSB) Research Program, Kristiina Aittomäki / Principal Investigator, HUSLAB, Department of Medical and Clinical Genetics, HUS Gynecology and Obstetrics, University Management, University of Helsinki, Università degli Studi di Milano = University of Milan (UNIMI), Universität Heidelberg [Heidelberg] = Heidelberg University, Department of Genetics and Pathology, Uppsala University, Julius-Maximilians-Universität Würzburg (JMU)-Centre of Familial Breast and Ovarian Cancer, Julius-Maximilians-Universität Würzburg (JMU), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Università degli Studi di Firenze = University of Florence (UniFI), Université de Lille-UNICANCER-Université de Lille-UNICANCER, University of California [Santa Cruz] (UC Santa Cruz), University of California (UC), Universität Leipzig, University of Cologne, RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA KG Polikliniek (9), and Klinische Genetica

Subjects
Male, Multifactorial Inheritance, BRCA1, BRCA2, classification, clinical, multifactorial, quantitative, uncertain significance, variant, Alternative Splicing, BRCA1 Protein, BRCA2 Protein, Computational Biology, Early Detection of Cancer, Female, Genetic Predisposition to Disease, Humans, Likelihood Functions, Neoplasms, Mutation, Missense, Medicina Básica [Ciências Médicas], Settore MED/03 - GENETICA MEDICA, GUIDELINES, Genetic analysis, CLINGEN, SEQUENCE VARIANTS, Missense mutation, FUNCTIONAL ASSAYS, Genetics (clinical), BRCA1, BRCA2, quantitative, clinical, classification, multifactorial, variant, uncertain significance, 0303 health sciences, education.field_of_study, 030305 genetics & heredity, 1184 Genetics, developmental biology, physiology, SPLICING ANALYSIS, OVARIAN, BRCA2 Protein/genetics, 3. Good health, ddc, Mutation (genetic algorithm), Ciências Médicas::Medicina Básica, Medical genetics, Special Articles, medicine.medical_specialty, Posterior probability, Population, Computational biology, Biology, INTEGRATED EVALUATION, 03 medical and health sciences, Special Article, medicine, Genetics, BREAST-CANCER, Genetic variability, ddc:610, education, 030304 developmental biology, Tumors, Science & Technology, Proteins, Computational Biology/methods, RISKS, Mutation, BRCA1 Protein/genetics, 3111 Biomedicine, Missense, Proteïnes, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, Genètica, Neoplasms/diagnosis
Abstract

The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co-segregation, family cancer history profile, co-occurrence with a pathogenic variant in the same gene, breast tumor pathology, and case-control information. Research and clinical data for multifactorial likelihood analysis were collated for 1,395 BRCA1/2 predominantly intronic and missense variants, enabling classification based on posterior probability of pathogenicity for 734 variants: 447 variants were classified as (likely) benign, and 94 as (likely) pathogenic; and 248 classifications were new or considerably altered relative to ClinVar submissions. Classifications were compared with information not yet included in the likelihood model, and evidence strengths aligned to those recommended for ACMG/AMP classification codes. Altered mRNA splicing or function relative to known nonpathogenic variant controls were moderately to strongly predictive of variant pathogenicity. Variant absence in population datasets provided supporting evidence for variant pathogenicity. These findings have direct relevance for BRCA1 and BRCA2 variant evaluation, and justify the need for gene-specific calibration of evidence types used for variant classification., Ohio State University Comprehensive Cancer Center Barretos Cancer Hospital. Grant Number: FINEP ‐ CT‐INFRA (02/2010) Breast Cancer Foundation of New Zealand Canadian Institutes of Health Research. Grant Number: PSR‐SIIRI‐701 Cancer Research UK. Grant Numbers: C8197/A16565, C5047/A8384, C1281/A12014, C12292/A11174, C1287/A10710, C1287/A10118, C1287/A16563, C5047/A10692, C5047/A15007 Department of Defence, USA. Grant Number: W81XWH‐10‐1‐0341 Helsinki University Hospital Research fund Scientific Foundation Asociación Española Contra el Cáncer Leiden University Medical Centre. Grant Number: Grant 30.925 Generalitat de Catalunya. Grant Numbers: PERIS_MedPerCan, URDCat, 2017SGR1282, 2017SGR496 Royal Society of New Zealand Cancer Council Victoria Netherlands Organization for Scientific Research (NWO). Grant Number: Grant 017.008.022 Breast Cancer Research Foundation Cancer Foundation of Western Australia EU H2020. Grant Number: 634935 Fundación Mutua Madrileña Seventh Framework Programme. Grant Numbers: 634935, 223175, 633784 Cancer Council South Australia Government of Galicia. Grant Number: Consolidation and structuring program: IN607B Cancer Council Tasmania Italian Association of Cancer Research. Grant Number: 15547 Queensland Cancer Fund AstraZeneca National Institute of Health (USA). Grant Numbers: 1U19 CA148065‐01, CA128978, CA192393, 1U19 CA148537, P50 CA1162091, CA116167, 1U19 CA148112 Newcastle University Dutch Cancer Society KWF. Grant Numbers: KWF/Pink Ribbon‐11704, UL2012‐5649 National Institute for Health Research. Grant Number: Manchester Biomedical Research centre (IS‐BRC‐1215 National Council of Technological and Scientific Development (CNPq) Instituto de Salud Carlos III. Grant Numbers: FIS PI15/00355, FIS PI13/01711, CIBERONC, FIS PI16/01218, PI16/00563 French National Institute of Cancer National Breast Cancer Foundation National Health and Medical Research Council. Grant Numbers: ID1061778, ID1104808 Carlos III National Health Centro de Investigación Biomédica en Red de Enferemdades Raras. Grant Number: ACCI 2016: ER17P1AC7112/2018 Cancer Council NSW Deutsche Krebshilfe. Grant Numbers: (#110837, #70111850 Fondazione Pisa. Grant Number: Grant “Clinical characterization of BRCA 1/2 Mis

Published
2019

8. The GPRC5A frameshift variant c.183del is not associated with increased breast cancer risk in BRCA1 mutation carriers

Author

Esther Pohl-Rescigno, Julika Borde, Guido Neidhardt, Elisabeth Mangold, Christian Tränkle, Alfons Meindl, Harald Surowy, Norbert Arnold, Jan Hauke, Christian Sutter, Nana Weber-Lassalle, Kristina Klaschik, Gunter Rappl, Christoph Engel, Stefanie Heilmann-Heimbach, Dieter Niederacher, Sandra Schmidt, Eric Hahnen, Rita K. Schmutzler, Barbara Burwinkel, Barbara Wappenschmidt, Corinna Ernst, and Konstantin Weber-Lassalle

Subjects
Cancer Research, business.industry, GPRC5A, Breast Neoplasms, medicine.disease, Frameshift mutation, Receptors, G-Protein-Coupled, Breast cancer, Oncology, Cancer research, medicine, Prevalence, Humans, business, Brca1 gene, Germ-Line Mutation
Published
2018

9. Germline mutation status and therapy response in high-risk early breast cancer: Results of the GeparOcto study (NCT02125344)

Author

Esther Pohl-Rescigno, Eric Hahnen, Claus Hanusch, Volker Möbus, Nana Weber-Lassalle, Peter A. Fasching, Rita K. Schmutzler, Hans Tesch, Michael Untch, Jan Hauke, Carsten Denkert, Jenny Furlanetto, Bianca Lederer, Andreas Schneeweiss, Sibylle Loibl, Volkmar Müller, Valentina Nekljudova, Kristina Luebbe, Kerstin Rhiem, and Christian Jackisch

Subjects
Oncology, Cancer Research, medicine.medical_specialty, business.industry, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Therapy response, Germline mutation, Paclitaxel, chemistry, Neoadjuvant treatment, 030220 oncology & carcinogenesis, Internal medicine, medicine, business, 030215 immunology, Epirubicin, medicine.drug, Early breast cancer
Abstract

573 Background: GeparOcto compared the efficacy of two neoadjuvant treatment (NAT) regimens in high-risk early breast cancer (BC): Sequential intense dose-dense epirubicin, paclitaxel, and cyclophosphamide (iddEPC) and weekly paclitaxel plus non-pegylated liposomal doxorubicin (PM), plus carboplatin (PMCb) in triple-negative BC (TNBC). There was no difference in pathologic complete response (pCR) rates (Schneeweiss et al. Eur J Cancer 2019). Here, we stratified pCR rates according to germline mutation status. Methods: Germline (g) mutation analysis of BRCA1/2 and 16 further BC predisposition genes in 914 patients (pts) enrolled (393 pts with TNBC, iddEPC n = 194, PMCb n = 199; 156 pts with HER2-/HR+ BC, iddEPC n = 75, PM n = 81; and 365 pts with HER2+ BC, iddEPC n = 182, PM n = 183). Results: The gBRCA1/2 mutation prevalence was 17.6% in TNBC, 14.1% in HER2-/HR+ BC and 1.4% in HER2+ BC. Overall, pts with gBRCA1/2 mutations achieved higher pCR rates than gBRCA1/2 wildtype pts (60.4% vs 46.7%, OR 1.74, P = 0.012), with more pronounced effects in the PM(Cb) arm (68.1% vs 45.7%, OR 2.53, P = 0.005). Among gBRCA1/2 wildtype pts, 76 carried mutations in non- BRCA1/2 predisposition genes. pCR rates were similar to those observed in pts without any mutation. Conclusions: Pts with gBRCA1/2 mutations benefitted most from NAT with highest pCR rates achieved in the gBRCA1/2 TNBC / PMCb group. The role of Cb for NAT of gBRCA1/2 TNBC should be further explored. Clinical trial information: NCT02125344. [Table: see text]

Published
2019

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