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Galli A, Bellè F, Fargnoli A, Caligo MA, Cervelli T. Functional Characterization of the Human BRCA1 ∆11 Splicing Isoforms in Yeast. Int J Mol Sci 2024; 25:7511. [PMID: 39062754 PMCID: PMC11276823 DOI: 10.3390/ijms25147511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2024] [Revised: 07/04/2024] [Accepted: 07/05/2024] [Indexed: 07/28/2024] Open
Abstract
BRCA1, a crucial tumor suppressor gene, has several splicing isoforms, including Δ9-11, Δ11, and Δ11q, which lack exon 11, coding for significant portions of the protein. These isoforms are naturally present in both normal and cancerous cells, exhibiting altered activity compared to the full-length BRCA1. Despite this, the impact on cancer risk of the germline intronic variants promoting the exclusive expression of these Δ11 isoforms remains uncertain. Consequently, they are classified as variants of uncertain significance (VUS), posing challenges for traditional genetic classification methods due to their rarity and complexity. Our research utilizes a yeast-based functional assay, previously validated for assessing missense BRCA1 variants, to compare the activity of the Δ11 splicing isoforms with known pathogenic missense variants. This approach allows us to elucidate the functional implications of these isoforms and determine whether their exclusive expression could contribute to increased cancer risk. By doing so, we aim to provide insights into the pathogenic potential of intronic VUS-generating BRCA1 splicing isoforms and improve the classification of BRCA1 variants.
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Affiliation(s)
- Alvaro Galli
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, National Research Council, 56124 Pisa, Italy; (A.G.); (F.B.); (A.F.)
| | - Francesca Bellè
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, National Research Council, 56124 Pisa, Italy; (A.G.); (F.B.); (A.F.)
| | - Arcangelo Fargnoli
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, National Research Council, 56124 Pisa, Italy; (A.G.); (F.B.); (A.F.)
| | - Maria Adelaide Caligo
- Molecular Genetics Unit, Department of Oncology, University Hospital of Pisa, 56126 Pisa, Italy;
| | - Tiziana Cervelli
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, National Research Council, 56124 Pisa, Italy; (A.G.); (F.B.); (A.F.)
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2
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Kraemer D, Terumalai D, Famiglietti ML, Filges I, Joset P, Koller S, Maurer F, Meier S, Nouspikel T, Sanz J, Zweier C, Abramowicz M, Berger W, Cichon S, Schaller A, Superti-Furga A, Barbié V, Rauch A. SwissGenVar: A Platform for Clinical-Grade Interpretation of Genetic Variants to Foster Personalized Healthcare in Switzerland. J Pers Med 2024; 14:648. [PMID: 38929869 PMCID: PMC11204794 DOI: 10.3390/jpm14060648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 05/28/2024] [Accepted: 06/11/2024] [Indexed: 06/28/2024] Open
Abstract
Large-scale next-generation sequencing (NGS) germline testing is technically feasible today, but variant interpretation represents a major bottleneck in analysis workflows. This includes extensive variant prioritization, annotation, and time-consuming evidence curation. The scale of the interpretation problem is massive, and variants of uncertain significance (VUSs) are a challenge to personalized medicine. This challenge is further compounded by the complexity and heterogeneity of the standards used to describe genetic variants and the associated phenotypes when searching for relevant information to support clinical decision making. To address this, all five Swiss academic institutions for Medical Genetics joined forces with the Swiss Institute of Bioinformatics (SIB) to create SwissGenVar as a user-friendly nationwide repository and sharing platform for genetic variant data generated during routine diagnostic procedures and research sequencing projects. Its aim is to provide a protected environment for expert evidence sharing about individual variants to harmonize and upscale their significance interpretation at the clinical grade according to international standards. To corroborate the clinical assessment, the variant-related data will be combined with consented high-quality clinical information. Broader visibility will be achieved by interfacing with international databases, thus supporting global initiatives in personalized healthcare.
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Affiliation(s)
- Dennis Kraemer
- Institute of Medical Genetics (IMG), University of Zurich (UZH), Wagistrasse 12, CH-8952 Zurich, Switzerland;
| | - Dillenn Terumalai
- Swiss Institute of Bioinformatics (SIB), Clinical Bioinformatics, CH-1202 Geneva, Switzerland; (D.T.); (V.B.)
| | | | - Isabel Filges
- Medical Genetics, Institute of Medical Genetics and Pathology, University Hospital Basel and University of Basel, CH-4031 Basel, Switzerland; (I.F.); (P.J.); (S.M.); (S.C.)
| | - Pascal Joset
- Medical Genetics, Institute of Medical Genetics and Pathology, University Hospital Basel and University of Basel, CH-4031 Basel, Switzerland; (I.F.); (P.J.); (S.M.); (S.C.)
| | - Samuel Koller
- Institute of Medical Molecular Genetics (IMMG), University of Zurich (UZH), Wagistrasse 12, CH-8952 Zurich, Switzerland; (S.K.); (W.B.)
| | - Fabienne Maurer
- Division of Genetic Medicine, Lausanne University Hospital (CHUV), CH-1011 Lausanne, Switzerland; (F.M.); (A.S.-F.)
| | - Stéphanie Meier
- Medical Genetics, Institute of Medical Genetics and Pathology, University Hospital Basel and University of Basel, CH-4031 Basel, Switzerland; (I.F.); (P.J.); (S.M.); (S.C.)
| | - Thierry Nouspikel
- Genetic Medicine Division, Diagnostics Department/Center for Genomic Medicine, Geneva University Hospitals (HUG), 1206 Geneva, Switzerland; (T.N.); (M.A.)
| | - Javier Sanz
- Department of Human Genetics, Inselspital, Bern University Hospital, CH-3010 Bern, Switzerland; (J.S.); (C.Z.); (A.S.)
| | - Christiane Zweier
- Department of Human Genetics, Inselspital, Bern University Hospital, CH-3010 Bern, Switzerland; (J.S.); (C.Z.); (A.S.)
| | - Marc Abramowicz
- Genetic Medicine Division, Diagnostics Department/Center for Genomic Medicine, Geneva University Hospitals (HUG), 1206 Geneva, Switzerland; (T.N.); (M.A.)
| | - Wolfgang Berger
- Institute of Medical Molecular Genetics (IMMG), University of Zurich (UZH), Wagistrasse 12, CH-8952 Zurich, Switzerland; (S.K.); (W.B.)
- Neuroscience Center Zurich (ZNZ), University and ETH Zurich, CH-8057 Zurich, Switzerland
- Zurich Center for Integrative Human Physiology (ZIHP), University of Zurich, CH-8057 Zurich, Switzerland
| | - Sven Cichon
- Medical Genetics, Institute of Medical Genetics and Pathology, University Hospital Basel and University of Basel, CH-4031 Basel, Switzerland; (I.F.); (P.J.); (S.M.); (S.C.)
| | - André Schaller
- Department of Human Genetics, Inselspital, Bern University Hospital, CH-3010 Bern, Switzerland; (J.S.); (C.Z.); (A.S.)
| | - Andrea Superti-Furga
- Division of Genetic Medicine, Lausanne University Hospital (CHUV), CH-1011 Lausanne, Switzerland; (F.M.); (A.S.-F.)
| | - Valérie Barbié
- Swiss Institute of Bioinformatics (SIB), Clinical Bioinformatics, CH-1202 Geneva, Switzerland; (D.T.); (V.B.)
| | - Anita Rauch
- Institute of Medical Genetics (IMG), University of Zurich (UZH), Wagistrasse 12, CH-8952 Zurich, Switzerland;
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3
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Nepomuceno TC, Foo TK, Richardson ME, Ranola JMO, Weyandt J, Varga MJ, Alarcon A, Gutierrez D, von Wachenfeldt A, Eriksson D, Kim R, Armel S, Iversen E, Couch FJ, Borg Å, Xia B, Carvalho MA, Monteiro ANA. BRCA1 frameshift variants leading to extended incorrect protein C termini. HGG ADVANCES 2023; 4:100240. [PMID: 37718511 PMCID: PMC10558845 DOI: 10.1016/j.xhgg.2023.100240] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 09/13/2023] [Accepted: 09/13/2023] [Indexed: 09/19/2023] Open
Abstract
Carriers of BRCA1 germline pathogenic variants are at substantially higher risk of developing breast and ovarian cancer than the general population. Accurate identification of at-risk individuals is crucial for risk stratification and the implementation of targeted preventive and therapeutic interventions. Despite significant progress in variant classification efforts, a sizable portion of reported BRCA1 variants remain as variants of uncertain clinical significance (VUSs). Variants leading to premature protein termination and loss of essential functional domains are typically classified as pathogenic. However, the impact of frameshift variants that result in an extended incorrect terminus is not clear. Using validated functional assays, we conducted a systematic functional assessment of 17 previously reported BRCA1 extended incorrect terminus variants (EITs) and concluded that 16 constitute loss-of-function variants. This suggests that most EITs are likely to be pathogenic. However, one variant, c.5578dup, displayed a protein expression level, affinity to known binding partners, and activity in transcription and homologous recombination assays comparable to the wild-type BRCA1 protein. Twenty-three additional carriers of c.5578dup were identified at a US clinical diagnostic lab and assessed using a family history likelihood model providing, in combination with the functional data, a likely benign interpretation. These results, consistent with family history data in the current study and available data from ClinVar, indicate that most, but not all, BRCA1 variants leading to an extended incorrect terminus constitute loss-of-function variants and underscore the need for comprehensive assessment of individual variants.
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Affiliation(s)
- Thales C Nepomuceno
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA; Divisão de Pesquisa Clínica, Instituto Nacional de Câncer, Rio de Janeiro 20230-130, Brazil
| | - Tzeh Keong Foo
- Rutgers Cancer Institute of New Jersey and Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | | | | | | | | | - Amaya Alarcon
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Diana Gutierrez
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | | | - Daniel Eriksson
- Department of Clinical Genetics, Akademiska Sjukhuset, Uppsala, Sweden
| | - Raymond Kim
- Bhalwani Familial Cancer Clinic, Princess Margaret Cancer Centre, Toronto, ON M5G 2C1, Canada
| | - Susan Armel
- Bhalwani Familial Cancer Clinic, Princess Margaret Cancer Centre, Toronto, ON M5G 2C1, Canada
| | | | | | - Åke Borg
- University of Lund, 221 00 Lund, Sweden
| | - Bing Xia
- Rutgers Cancer Institute of New Jersey and Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Marcelo A Carvalho
- Divisão de Pesquisa Clínica, Instituto Nacional de Câncer, Rio de Janeiro 20230-130, Brazil; Instituto Federal do Rio de Janeiro - IFRJ, Rio de Janeiro 20270-021, Brazil.
| | - Alvaro N A Monteiro
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
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4
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Licata L, Via A, Turina P, Babbi G, Benevenuta S, Carta C, Casadio R, Cicconardi A, Facchiano A, Fariselli P, Giordano D, Isidori F, Marabotti A, Martelli PL, Pascarella S, Pinelli M, Pippucci T, Russo R, Savojardo C, Scafuri B, Valeriani L, Capriotti E. Resources and tools for rare disease variant interpretation. Front Mol Biosci 2023; 10:1169109. [PMID: 37234922 PMCID: PMC10206239 DOI: 10.3389/fmolb.2023.1169109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 04/25/2023] [Indexed: 05/28/2023] Open
Abstract
Collectively, rare genetic disorders affect a substantial portion of the world's population. In most cases, those affected face difficulties in receiving a clinical diagnosis and genetic characterization. The understanding of the molecular mechanisms of these diseases and the development of therapeutic treatments for patients are also challenging. However, the application of recent advancements in genome sequencing/analysis technologies and computer-aided tools for predicting phenotype-genotype associations can bring significant benefits to this field. In this review, we highlight the most relevant online resources and computational tools for genome interpretation that can enhance the diagnosis, clinical management, and development of treatments for rare disorders. Our focus is on resources for interpreting single nucleotide variants. Additionally, we present use cases for interpreting genetic variants in clinical settings and review the limitations of these results and prediction tools. Finally, we have compiled a curated set of core resources and tools for analyzing rare disease genomes. Such resources and tools can be utilized to develop standardized protocols that will enhance the accuracy and effectiveness of rare disease diagnosis.
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Affiliation(s)
- Luana Licata
- Department of Biology, University of Rome Tor Vergata, Roma, Italy
| | - Allegra Via
- Department of Biochemical Sciences “A. Rossi Fanelli”, University of Rome “La Sapienza”, Roma, Italy
| | - Paola Turina
- Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy
| | - Giulia Babbi
- Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy
| | | | - Claudio Carta
- National Centre for Rare Diseases, Istituto Superiore di Sanità, Roma, Italy
| | - Rita Casadio
- Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy
| | - Andrea Cicconardi
- Department of Physics, University of Genova, Genova, Italy
- Italiano di Tecnologia—IIT, Genova, Italy
| | - Angelo Facchiano
- National Research Council, Institute of Food Science, Avellino, Italy
| | - Piero Fariselli
- Department of Medical Sciences, University of Torino, Torino, Italy
| | - Deborah Giordano
- National Research Council, Institute of Food Science, Avellino, Italy
| | - Federica Isidori
- Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Anna Marabotti
- Department of Chemistry and Biology “A. Zambelli”, University of Salerno, Fisciano, SA, Italy
| | - Pier Luigi Martelli
- Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy
| | - Stefano Pascarella
- Department of Biochemical Sciences “A. Rossi Fanelli”, University of Rome “La Sapienza”, Roma, Italy
| | - Michele Pinelli
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Napoli, Italy
| | - Tommaso Pippucci
- Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Roberta Russo
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Napoli, Italy
- CEINGE Biotecnologie Avanzate Franco Salvatore, Napoli, Italy
| | - Castrense Savojardo
- Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy
| | - Bernardina Scafuri
- Department of Chemistry and Biology “A. Zambelli”, University of Salerno, Fisciano, SA, Italy
| | | | - Emidio Capriotti
- Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy
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5
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Caleca L, Radice P. Refinement of the assignment to the ACMG/AMP BS3 and PS3 criteria of eight BRCA1 variants of uncertain significance by integrating available functional data with protein interaction assays. Front Oncol 2023; 13:1146604. [PMID: 37168384 PMCID: PMC10164951 DOI: 10.3389/fonc.2023.1146604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 04/06/2023] [Indexed: 05/13/2023] Open
Abstract
The clinical screening of cancer predisposition genes has led to the identification of a large number of variants of uncertain significance (VUS). Multifactorial likelihood models that predict the odds ratio for VUS in favor or against cancer causality, have been developed, but their use is limited by the amount of necessary data, which are difficult to obtain for rare variants. The guidelines for variant interpretation of the American College of Medical Genetics and Genomics along with the Association for Molecular Pathology (ACMG/AMP) state that "well-established" functional studies provide strong support of a pathogenic or benign impact (criteria PS3 and BS3, respectively) and can be used as evidence type to reach a final classification. Moreover, the Clinical Genome Resource Sequence Variant Interpretation Working Group developed rule specifications to refine the PS3/BS3 criteria. Recently, Lira PC et al. developed the "Hi Set" approach that generated PS3/BS3 codes for over two-thousands BRCA1 VUS. While highly successful, this approach did not discriminate a group of variants with conflicting evidences. Here, we aimed to implement the outcomes of the "Hi-set" approach applying Green Fluorescent Protein (GFP)-reassembly assays, assessing the effect of variants in the RING and BRCT domains of BRCA1 on the binding of these domains with the UbcH5a or ABRAXAS proteins, respectively. The analyses of 26 clinically classified variants, including 13 tested in our previous study, showed 100% sensitivity and specificity in identifying pathogenic and benign variants for both the RING/UbcH5a and the BRCTs/ABRAXAS interactions. We derived the strength of evidences generated by the GFP-reassembly assays corresponding to moderate for both PS3 and BS3 criteria assessment. The GFP-reassembly assays were applied to the functional characterization of 8 discordant variants from the study by Lyra et al. The outcomes of these analyses, combined with those reported in the "Hi Set" study, allowed the assignment of ACMG/AMP criteria in favor or against pathogenicity for all 8 examined variants. The above findings were validated with a semi-quantitative Mammalian Two-Hybrid approach, and totally concordant results were observed. Our data contributes in shedding light on the functional significance of BRCA1 VUS and on their clinical interpretation within the ACMG/AMP framework.
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Bellè F, Mercatanti A, Lodovichi S, Congregati C, Guglielmi C, Tancredi M, Caligo MA, Cervelli T, Galli A. Validation and Data-Integration of Yeast-Based Assays for Functional Classification of BRCA1 Missense Variants. Int J Mol Sci 2022; 23:ijms23074049. [PMID: 35409408 PMCID: PMC8999655 DOI: 10.3390/ijms23074049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 04/01/2022] [Accepted: 04/03/2022] [Indexed: 11/23/2022] Open
Abstract
Germline mutations in the BRCA1 gene have been reported to increase the lifetime risk of developing breast and/or ovarian cancer (BOC). By new sequencing technologies, numerous variants of uncertain significance (VUS) are identified. It is mandatory to develop new tools to evaluate their functional impact and pathogenicity. As the expression of pathogenic BRCA1 variants in Saccharomyces cerevisiae increases the frequency of intra- and inter-chromosomal homologous recombination (HR), and gene reversion (GR), we validated the two HR and the GR assays by testing 23 benign and 23 pathogenic variants and compared the results with those that were obtained in the small colony phenotype (SCP) assay, an additional yeast-based assay, that was validated previously. We demonstrated that they scored high accuracy, sensitivity, and sensibility. By using a classifier that was based on majority of voting, we have integrated data from HR, GR, and SCP assays and developed a reliable method, named yBRCA1, with high sensitivity to obtain an accurate VUS functional classification (benign or pathogenic). The classification of BRCA1 variants, important for assessing the risk of developing BOC, is often difficult to establish with genetic methods because they occur rarely in the population. This study provides a new tool to get insights on the functional impact of the BRCA1 variants.
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Affiliation(s)
- Francesca Bellè
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR via Moruzzi 1, 56125 Pisa, Italy; (F.B.); (A.M.); (S.L.); (T.C.)
| | - Alberto Mercatanti
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR via Moruzzi 1, 56125 Pisa, Italy; (F.B.); (A.M.); (S.L.); (T.C.)
| | - Samuele Lodovichi
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR via Moruzzi 1, 56125 Pisa, Italy; (F.B.); (A.M.); (S.L.); (T.C.)
| | - Caterina Congregati
- Division of Internal Medicine, University Hospital of Pisa, 56125 Pisa, Italy;
| | - Chiara Guglielmi
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, 56125 Pisa, Italy; (C.G.); (M.T.)
| | - Mariella Tancredi
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, 56125 Pisa, Italy; (C.G.); (M.T.)
| | - Maria Adelaide Caligo
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, 56125 Pisa, Italy; (C.G.); (M.T.)
- Correspondence: (M.A.C.); (A.G.)
| | - Tiziana Cervelli
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR via Moruzzi 1, 56125 Pisa, Italy; (F.B.); (A.M.); (S.L.); (T.C.)
| | - Alvaro Galli
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR via Moruzzi 1, 56125 Pisa, Italy; (F.B.); (A.M.); (S.L.); (T.C.)
- Correspondence: (M.A.C.); (A.G.)
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7
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Caputo SM, Golmard L, Léone M, Damiola F, Guillaud-Bataille M, Revillion F, Rouleau E, Derive N, Buisson A, Basset N, Schwartz M, Vilquin P, Garrec C, Privat M, Gay-Bellile M, Abadie C, Abidallah K, Airaud F, Allary AS, Barouk-Simonet E, Belotti M, Benigni C, Benusiglio PR, Berthemin C, Berthet P, Bertrand O, Bézieau S, Bidart M, Bignon YJ, Birot AM, Blanluet M, Bloucard A, Bombled J, Bonadona V, Bonnet F, Bonnet-Dupeyron MN, Boulaire M, Boulouard F, Bouras A, Bourdon V, Brahimi A, Brayotel F, Bressac de Paillerets B, Bronnec N, Bubien V, Buecher B, Cabaret O, Carriere J, Chiesa J, Chieze-Valéro S, Cohen C, Cohen-Haguenauer O, Colas C, Collonge-Rame MA, Conoy AL, Coulet F, Coupier I, Crivelli L, Cusin V, De Pauw A, Dehainault C, Delhomelle H, Delnatte C, Demontety S, Denizeau P, Devulder P, Dreyfus H, d’Enghein CD, Dupré A, Durlach A, Dussart S, Fajac A, Fekairi S, Fert-Ferrer S, Fiévet A, Fouillet R, Mouret-Fourme E, Gauthier-Villars M, Gesta P, Giraud S, Gladieff L, Goldbarg V, Goussot V, Guibert V, Guillerm E, Guy C, Hardouin A, Heude C, Houdayer C, Ingster O, Jacquot-Sawka C, Jones N, Krieger S, Lacoste S, Lallaoui H, Larbre H, Laugé A, Le Guyadec G, Le Mentec M, Lecerf C, Le Gall J, Legendre B, Legrand C, Legros A, Lejeune S, Lidereau R, Lignon N, Limacher JM, Doriane Livon, Lizard S, Longy M, Lortholary A, Macquere P, Mailliez A, Malsa S, Margot H, Mari V, Maugard C, Meira C, Menjard J, Molière D, Moncoutier V, Moretta-Serra J, Muller E, Nevière Z, Nguyen Minh Tuan TV, Noguchi T, Noguès C, Oca F, Popovici C, Prieur F, Raad S, Rey JM, Ricou A, Salle L, Saule C, Sevenet N, Simaga F, Sobol H, Suybeng V, Tennevet I, Tenreiro H, Tinat J, Toulas C, Turbiez I, Uhrhammer N, Vande Perre P, Vaur D, Venat L, Viellard N, Villy MC, Warcoin M, Yvard A, Zattara H, Caron O, Lasset C, Remenieras A, Boutry-Kryza N, Castéra L, Stoppa-Lyonnet D. Classification of 101 BRCA1 and BRCA2 variants of uncertain significance by cosegregation study: A powerful approach. Am J Hum Genet 2021; 108:1907-1923. [PMID: 34597585 DOI: 10.1016/j.ajhg.2021.09.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 09/01/2021] [Indexed: 12/18/2022] Open
Abstract
Up to 80% of BRCA1 and BRCA2 genetic variants remain of uncertain clinical significance (VUSs). Only variants classified as pathogenic or likely pathogenic can guide breast and ovarian cancer prevention measures and treatment by PARP inhibitors. We report the first results of the ongoing French national COVAR (cosegregation variant) study, the aim of which is to classify BRCA1/2 VUSs. The classification method was a multifactorial model combining different associations between VUSs and cancer, including cosegregation data. At this time, among the 653 variants selected, 101 (15%) distinct variants shared by 1,624 families were classified as pathogenic/likely pathogenic or benign/likely benign by the COVAR study. Sixty-six of the 101 (65%) variants classified by COVAR would have remained VUSs without cosegregation data. Of note, among the 34 variants classified as pathogenic by COVAR, 16 remained VUSs or likely pathogenic when following the ACMG/AMP variant classification guidelines. Although the initiation and organization of cosegregation analyses require a considerable effort, the growing number of available genetic tests results in an increasing number of families sharing a particular variant, and thereby increases the power of such analyses. Here we demonstrate that variant cosegregation analyses are a powerful tool for the classification of variants in the BRCA1/2 breast-ovarian cancer predisposition genes.
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8
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Technological Improvements in the Genetic Diagnosis of Rett Syndrome Spectrum Disorders. Int J Mol Sci 2021; 22:ijms221910375. [PMID: 34638716 PMCID: PMC8508637 DOI: 10.3390/ijms221910375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 09/17/2021] [Accepted: 09/22/2021] [Indexed: 11/17/2022] Open
Abstract
Rett syndrome (RTT) is a severe neurodevelopmental disorder that constitutes the second most common cause of intellectual disability in females worldwide. In the past few years, the advancements in genetic diagnosis brought by next generation sequencing (NGS), have made it possible to identify more than 90 causative genes for RTT and significantly overlapping phenotypes (RTT spectrum disorders). Therefore, the clinical entity known as RTT is evolving towards a spectrum of overlapping phenotypes with great genetic heterogeneity. Hence, simultaneous multiple gene testing and thorough phenotypic characterization are mandatory to achieve a fast and accurate genetic diagnosis. In this review, we revise the evolution of the diagnostic process of RTT spectrum disorders in the past decades, and we discuss the effectiveness of state-of-the-art genetic testing options, such as clinical exome sequencing and whole exome sequencing. Moreover, we introduce recent technological advancements that will very soon contribute to the increase in diagnostic yield in patients with RTT spectrum disorders. Techniques such as whole genome sequencing, integration of data from several “omics”, and mosaicism assessment will provide the tools for the detection and interpretation of genomic variants that will not only increase the diagnostic yield but also widen knowledge about the pathophysiology of these disorders.
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9
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Drenner K, Basu GD, Goodman LJ, Ozols AA, LoBello JR, Royce T, Gordon MS, Borazanci EH, Steinbach MA, Trent J, Sharma S. The value of comprehensive genomic sequencing to maximize the identification of clinically actionable alterations in advanced cancer patients: a case series. Oncotarget 2021; 12:1836-1847. [PMID: 34504655 PMCID: PMC8416559 DOI: 10.18632/oncotarget.28046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 07/27/2021] [Indexed: 01/10/2023] Open
Abstract
PURPOSE We present seven cases of advanced cancer patients who initially underwent tumor testing utilizing smaller, panel-based tests, followed by a variety of therapeutic treatments which ultimately resulted in progression of their disease. These cases demonstrate the value of utilizing WES/RNA seq and characterization following disease progression in these patients and the determination of clinically targetable alterations as well as acquired resistance mutations. MATERIALS AND METHODS All patients are part of an IRB approved observational study. WES and RNA sequencing were performed, using GEM ExTra® on tumor and blood samples obtained during routine clinical care. To accurately determine somatic versus germline alterations the test was performed with paired normal testing from peripheral blood. RESULTS The presented cases demonstrate the clinical impact of actionable findings uncovered using GEM ExTra® in patients with advanced disease who failed many rounds of treatment. Unique alterations were identified resulting in newly identified potential targeted therapies, mechanisms of resistance, and variation in the genomic characterization of the primary versus the metastatic tumor. CONCLUSIONS Taken together our results demonstrate that GEM ExTra® maximizes detection of actionable mutations, thus allowing for appropriate treatment selection for patients harboring both common and rare genomic alterations.
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Affiliation(s)
- Kevin Drenner
- Translational Genomic Research Institute (Tgen), Phoenix, AZ 85004, USA
- These authors contributed equally to this work
| | - Gargi D. Basu
- Ashion Analytics, LLC, Phoenix, AZ 85004, USA
- These authors contributed equally to this work
| | | | | | | | | | | | | | | | - Jeffrey Trent
- Translational Genomic Research Institute (Tgen), Phoenix, AZ 85004, USA
| | - Sunil Sharma
- Translational Genomic Research Institute (Tgen), Phoenix, AZ 85004, USA
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10
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Yeast as a Tool to Understand the Significance of Human Disease-Associated Gene Variants. Genes (Basel) 2021; 12:genes12091303. [PMID: 34573285 PMCID: PMC8465565 DOI: 10.3390/genes12091303] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 08/23/2021] [Accepted: 08/23/2021] [Indexed: 02/05/2023] Open
Abstract
At present, the great challenge in human genetics is to provide significance to the growing amount of human disease-associated gene variants identified by next generation DNA sequencing technologies. Increasing evidences suggest that model organisms are of pivotal importance to addressing this issue. Due to its genetic tractability, the yeast Saccharomyces cerevisiae represents a valuable model organism for understanding human genetic variability. In the present review, we show how S. cerevisiae has been used to study variants of genes involved in different diseases and in different pathways, highlighting the versatility of this model organism.
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11
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Moesslacher CS, Kohlmayr JM, Stelzl U. Exploring absent protein function in yeast: assaying post translational modification and human genetic variation. MICROBIAL CELL (GRAZ, AUSTRIA) 2021; 8:164-183. [PMID: 34395585 PMCID: PMC8329848 DOI: 10.15698/mic2021.08.756] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 06/13/2021] [Accepted: 06/18/2021] [Indexed: 01/08/2023]
Abstract
Yeast is a valuable eukaryotic model organism that has evolved many processes conserved up to humans, yet many protein functions, including certain DNA and protein modifications, are absent. It is this absence of protein function that is fundamental to approaches using yeast as an in vivo test system to investigate human proteins. Functionality of the heterologous expressed proteins is connected to a quantitative, selectable phenotype, enabling the systematic analyses of mechanisms and specificity of DNA modification, post-translational protein modifications as well as the impact of annotated cancer mutations and coding variation on protein activity and interaction. Through continuous improvements of yeast screening systems, this is increasingly carried out on a global scale using deep mutational scanning approaches. Here we discuss the applicability of yeast systems to investigate absent human protein function with a specific focus on the impact of protein variation on protein-protein interaction modulation.
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Affiliation(s)
- Christina S Moesslacher
- Institute of Pharmaceutical Sciences and BioTechMed-Graz, University of Graz, Graz, Austria
- Contributed equally to the writing of this review
| | - Johanna M Kohlmayr
- Institute of Pharmaceutical Sciences and BioTechMed-Graz, University of Graz, Graz, Austria
- Contributed equally to the writing of this review
| | - Ulrich Stelzl
- Institute of Pharmaceutical Sciences and BioTechMed-Graz, University of Graz, Graz, Austria
- Contributed equally to the writing of this review
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12
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Lyra PCM, Nepomuceno TC, de Souza MLM, Machado GF, Veloso MF, Henriques TB, Dos Santos DZ, Ribeiro IG, Ribeiro RS, Rangel LBA, Richardson M, Iversen ES, Goldgar D, Couch FJ, Carvalho MA, Monteiro ANA. Integration of functional assay data results provides strong evidence for classification of hundreds of BRCA1 variants of uncertain significance. Genet Med 2020; 23:306-315. [PMID: 33087888 PMCID: PMC7862071 DOI: 10.1038/s41436-020-00991-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 09/21/2020] [Accepted: 09/22/2020] [Indexed: 12/13/2022] Open
Abstract
Purpose BRCA1 pathogenic variant heterozygotes are at a substantially increased risk for breast and ovarian cancer. The widespread uptake of testing has led to a significant increase in the detection of missense variants in BRCA1, the vast majority of which are variants of uncertain clinical significance (VUS), posing a challenge to genetic counseling. Here, we harness a wealth of functional data for thousands of variants to aid in variant classification. Methods We have collected, curated, and harmonized functional data for 2701 missense variants representing 24.5% of possible missense variants in BRCA1. Results were harmonized across studies by converting data into binary categorical variables (functional impact versus no functional impact). Using a panel of reference variants we identified a subset of assays with high sensitivity and specificity (≥80%) and apply the American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) variant interpretation guidelines to assign evidence criteria for classification. Results Integration of data from validated assays provided ACMG/AMP evidence criteria in favor of pathogenicity for 297 variants or against pathogenicity for 2058 representing 96.2% of current VUS functionally assessed. We also explore discordant results and identify limitations in the approach. Conclusion High quality functional data are available for BRCA1 missense variants and provide evidence for classification of 2355 VUS according to their pathogenicity.
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Affiliation(s)
- Paulo C M Lyra
- Biotechnology/RENORBIO Program, Federal University of Espírito Santo, Vitória, ES, Brazil
| | - Thales C Nepomuceno
- Instituto Nacional de Câncer, Programa de Pesquisa Clínica, Rio de Janeiro, Brazil.,Divisão de Pesquisa Clínica, Instituto Nacional de Câncer, Rio de Janeiro, Brazil.,Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Marcele L M de Souza
- Biotechnology/RENORBIO Program, Federal University of Espírito Santo, Vitória, ES, Brazil
| | - Géssica F Machado
- Biotechnology/RENORBIO Program, Federal University of Espírito Santo, Vitória, ES, Brazil
| | - Mariana F Veloso
- Biotechnology/RENORBIO Program, Federal University of Espírito Santo, Vitória, ES, Brazil
| | - Taciane B Henriques
- Biotechnology/RENORBIO Program, Federal University of Espírito Santo, Vitória, ES, Brazil
| | - Diandra Z Dos Santos
- Biotechnology/RENORBIO Program, Federal University of Espírito Santo, Vitória, ES, Brazil
| | - Iuly G Ribeiro
- Biotechnology/RENORBIO Program, Federal University of Espírito Santo, Vitória, ES, Brazil
| | - Roberto S Ribeiro
- Biotechnology/RENORBIO Program, Federal University of Espírito Santo, Vitória, ES, Brazil
| | - Leticia B A Rangel
- Biotechnology/RENORBIO Program, Federal University of Espírito Santo, Vitória, ES, Brazil
| | | | - Edwin S Iversen
- Department of Statistical Science, Duke University, Durham, NC, USA
| | - David Goldgar
- Department of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | | | - Marcelo A Carvalho
- Instituto Nacional de Câncer, Programa de Pesquisa Clínica, Rio de Janeiro, Brazil.,Instituto Federal do Rio de Janeiro-IFRJ, Rio de Janeiro, Brazil
| | - Alvaro N A Monteiro
- Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
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13
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Cervelli T, Lodovichi S, Bellè F, Galli A. Yeast-based assays for the functional characterization of cancer-associated variants of human DNA repair genes. MICROBIAL CELL 2020; 7:162-174. [PMID: 32656256 PMCID: PMC7328678 DOI: 10.15698/mic2020.07.721] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Technological advances are continuously revealing new genetic variants that are often difficult to interpret. As one of the most genetically tractable model organisms, yeast can have a central role in determining the consequences of human genetic variation. DNA repair gene mutations are associated with many types of cancers, therefore the evaluation of the functional impact of these mutations is crucial for risk assessment and for determining therapeutic strategies. Owing to the evolutionary conservation of DNA repair pathways between human cells and the yeast Saccharomyces cerevisiae, several functional assays have been developed. Here, we describe assays for variants of human genes belonging to the major DNA repair pathways divided in functional assays for human genes with yeast orthologues and human genes lacking a yeast orthologue. Human genes with orthologues can be studied by introducing the correspondent human mutations directly in the yeast gene or expressing the human gene carrying the mutations; while the only possible approach for human genes without a yeast orthologue is the heterologous expression. The common principle of these approaches is that the mutated gene determines a phenotypic alteration that can vary according to the gene studied and the domain of the protein. Here, we show how the versatility of yeast can help in classifying cancer-associated variants.
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Affiliation(s)
- Tiziana Cervelli
- Yeast Genetics and Genomics Group, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology CNR, Via Moruzzi 1, 56125 Pisa, Italy
| | - Samuele Lodovichi
- Yeast Genetics and Genomics Group, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology CNR, Via Moruzzi 1, 56125 Pisa, Italy
| | - Francesca Bellè
- Yeast Genetics and Genomics Group, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology CNR, Via Moruzzi 1, 56125 Pisa, Italy
| | - Alvaro Galli
- Yeast Genetics and Genomics Group, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology CNR, Via Moruzzi 1, 56125 Pisa, Italy
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14
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Monteiro AN, Bouwman P, Kousholt AN, Eccles DM, Millot GA, Masson JY, Schmidt MK, Sharan SK, Scully R, Wiesmüller L, Couch F, Vreeswijk MPG. Variants of uncertain clinical significance in hereditary breast and ovarian cancer genes: best practices in functional analysis for clinical annotation. J Med Genet 2020; 57:509-518. [PMID: 32152249 DOI: 10.1136/jmedgenet-2019-106368] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Revised: 10/28/2019] [Accepted: 12/01/2019] [Indexed: 12/16/2022]
Affiliation(s)
- Alvaro N Monteiro
- Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Peter Bouwman
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Arne N Kousholt
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Diana M Eccles
- Cancer Sciences, University of Southampton Faculty of Medicine, Southampton, UK
| | - Gael A Millot
- Hub-DBC, Institut Pasteur, USR 3756 CNRS, Paris, France
| | - Jean-Yves Masson
- CHU de Québec-Université Laval, Oncology Division, Laval University Cancer Research Center, Quebec City, Quebec, Canada
| | - Marjanka K Schmidt
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Shyam K Sharan
- National Cancer Institute at Frederick, Frederick, Maryland, USA
| | - Ralph Scully
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
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15
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Lodovichi S, Bellè F, Cervelli T, Lorenzoni A, Maresca L, Cozzani C, Caligo MA, Galli A. Effect of BRCA1 missense variants on gene reversion in DNA double-strand break repair mutants and cell cycle-arrested cells of Saccharomyces cerevisiae. Mutagenesis 2019; 35:189-195. [DOI: 10.1093/mutage/gez043] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 10/31/2019] [Indexed: 12/13/2022] Open
Abstract
AbstractEvaluation of the functional impact of germline BRCA1 variants that are likely to be associated to breast and ovarian cancer could help to investigate the mechanism of BRCA1 tumorigenesis. Expression of pathogenic BRCA1 missense variants increased homologous recombination (HR) and gene reversion (GR) in yeast. We thought to exploit yeast genetics to shed light on BRCA1-induced genome instability and tumorigenesis. We determined the effect on GR of several neutral and pathogenic BRCA1 variants in the yeast strain RSY6wt and its isogenic DSB repair mutants, such as mre11∆, rad50∆ and rad51∆. In the RSY6wt, four out of five pathogenic and two out of six neutral variants significantly increased GR; rad51∆ strain, the pathogenic variants C61G and A1708E induced a weak but significant increase in GR. On the other hand, in rad50∆ mutant expressing the pathogenic variants localised at the BRCT domain, a further GR increase was seen. The neutral variant N132K and the VUS A1789T induced a weak GR increase in mre11∆ mutant. Thus, BRCA1 missense variants require specific genetic functions and presumably induced GR by different mechanisms. As DNA repair is regulated by cell cycle, we determined the effect on GR of BRCA1 variants in cell cycle-arrested RSYwt cells. GR is highly BRCA1-inducible in S-phase-arrested cells as compared to G1 or G2. Sequence analysis of genomic DNA from ILV1 revertant clones showed that BRCA1-induced ilv1-92 reversion by base substitution when GR is at least 6-fold over the control. Our study demonstrated that BRCA1 may interfere with yeast DNA repair functions that are active in S-phase causing high level of GR. In addition, we confirmed here that yeast could be a reliable model to investigate the mechanism and genetic requirements of BRCA1-induced genome instability. Finally, developing yeast-based assays to characterise BRCA1 missense variants could be useful to design more precise therapies.
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Affiliation(s)
- Samuele Lodovichi
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR, Pisa, Italy
| | - Francesca Bellè
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR, Pisa, Italy
| | - Tiziana Cervelli
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR, Pisa, Italy
| | - Alessandra Lorenzoni
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR, Pisa, Italy
| | - Luisa Maresca
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR, Pisa, Italy
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, Pisa, Italy
| | - Cristina Cozzani
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR, Pisa, Italy
| | - Maria Adelaide Caligo
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, Pisa, Italy
| | - Alvaro Galli
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR, Pisa, Italy
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16
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Toh MR, Chong ST, Chan SH, Low CE, Ishak NDB, Lim JQ, Courtney E, Ngeow J. Functional analysis of clinical BARD1 germline variants. Cold Spring Harb Mol Case Stud 2019; 5:a004093. [PMID: 31371347 PMCID: PMC6672023 DOI: 10.1101/mcs.a004093] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Accepted: 06/10/2019] [Indexed: 12/31/2022] Open
Abstract
Germline pathogenic variants in BRCA1/2 account for one-third of familial breast cancers. The majority of BRCA1 function requires heterodimerization with BARD1. In contrast to BRCA1, BARD1 is a low-penetrance gene with an unclear clinical relevance, partly because of limited functional evidence. Using patient-derived lymphoblastoid cells, we functionally characterized two pathogenic variants (c.1833dupT, c.2099delG) and three variants of uncertain significance (VUSs) (c.73G>C, c.1217G>A, c.1918C>A). Three of these patients had breast cancers, whereas the remaining had colorectal cancers (n = 3). Both patients with pathogenic variants (c.1833dupT, c.2099delG) developed breast cancers with aggressive disease phenotypes such as triple-negative breast cancer and high cancer grades. As BARD1 encompasses multiple functional domains, including those of apoptosis and homologous recombination repair, we hypothesized that the function being impaired would correspond with the domain where the variant was located. Variants c.1918C>A, c.1833dupT, c.1217G>A, and c.2099delG, located within and proximal to apoptotic domains of ankyrin and BRCT, were associated with impaired apoptosis. Conversely, apoptosis function was preserved in c.73G>C, which was distant from the ankyrin domain. All variants displayed normal BRCA1 heterodimerization and RAD51 colocalization, consistent with their location being distal to BRCA1-and RAD51-binding domains. In view of deficient apoptosis, VUSs (c.1217G>A and c.1918C>A) may be pathogenic or likely pathogenic variants. In summary, functional analysis of BARD1 VUSs requires a combination of assays and, more importantly, the use of appropriate functional assays with consideration to the variant's location.
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Affiliation(s)
- Ming Ren Toh
- Duke-NUS Medical School, Singapore, 169857, Singapore
| | - Siao Ting Chong
- Division of Medical Oncology, National Cancer Center, Singapore, 169610, Singapore
| | - Sock Hoai Chan
- Division of Medical Oncology, National Cancer Center, Singapore, 169610, Singapore
| | - Chen Ee Low
- Division of Medical Oncology, National Cancer Center, Singapore, 169610, Singapore
| | | | - Jing Quan Lim
- Division of Medical Oncology, National Cancer Center, Singapore, 169610, Singapore
| | - Eliza Courtney
- Division of Medical Oncology, National Cancer Center, Singapore, 169610, Singapore
| | - Joanne Ngeow
- Duke-NUS Medical School, Singapore, 169857, Singapore
- Division of Medical Oncology, National Cancer Center, Singapore, 169610, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 639798, Singapore
- Institute of Molecular and Cellular Biology, Agency for Science, Technology and Research, Singapore, 138673, Singapore
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17
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Fiévet A, Bellanger D, Rieunier G, Dubois d'Enghien C, Sophie J, Calvas P, Carriere JP, Anheim M, Castrioto A, Flabeau O, Degos B, Ewenczyk C, Mahlaoui N, Touzot F, Suarez F, Hully M, Roubertie A, Aladjidi N, Tison F, Antoine-Poirel H, Dahan K, Doummar D, Nougues MC, Ioos C, Rougeot C, Masurel A, Bourjault C, Ginglinger E, Prieur F, Siri A, Bordigoni P, Nguyen K, Philippe N, Bellesme C, Demeocq F, Altuzarra C, Mathieu-Dramard M, Couderc F, Dörk T, Auger N, Parfait B, Abidallah K, Moncoutier V, Collet A, Stoppa-Lyonnet D, Stern MH. Functional classification of ATM variants in ataxia-telangiectasia patients. Hum Mutat 2019; 40:1713-1730. [PMID: 31050087 DOI: 10.1002/humu.23778] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Revised: 04/24/2019] [Accepted: 04/29/2019] [Indexed: 12/11/2022]
Abstract
Ataxia-telangiectasia (A-T) is a recessive disorder caused by biallelic pathogenic variants of ataxia-telangiectasia mutated (ATM). This disease is characterized by progressive ataxia, telangiectasia, immune deficiency, predisposition to malignancies, and radiosensitivity. However, hypomorphic variants may be discovered associated with very atypical phenotypes, raising the importance of evaluating their pathogenic effects. In this study, multiple functional analyses were performed on lymphoblastoid cell lines from 36 patients, comprising 49 ATM variants, 24 being of uncertain significance. Thirteen patients with atypical phenotype and presumably hypomorphic variants were of particular interest to test strength of functional analyses and to highlight discrepancies with typical patients. Western-blot combined with transcript analyses allowed the identification of one missing variant, confirmed suspected splice defects and revealed unsuspected minor transcripts. Subcellular localization analyses confirmed the low level and abnormal cytoplasmic localization of ATM for most A-T cell lines. Interestingly, atypical patients had lower kinase defect and less altered cell-cycle distribution after genotoxic stress than typical patients. In conclusion, this study demonstrated the pathogenic effects of the 49 variants, highlighted the strength of KAP1 phosphorylation test for pathogenicity assessment and allowed the establishment of the Ataxia-TeLangiectasia Atypical Score to predict atypical phenotype. Altogether, we propose strategies for ATM variant detection and classification.
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Affiliation(s)
- Alice Fiévet
- Institut Curie, PSL Research University, INSERM U830, Paris, France.,Institut Curie, Hôpital, Service de Génétique, Paris, France
| | - Dorine Bellanger
- Institut Curie, PSL Research University, INSERM U830, Paris, France
| | | | | | - Julia Sophie
- CHU de Toulouse, Service de Génétique Médicale, Toulouse, France
| | - Patrick Calvas
- CHU de Toulouse, Service de Génétique Médicale, Toulouse, France
| | - Jean-Paul Carriere
- Hopital des enfants de Toulouse, Unité de Neuropédiatrie, Toulouse, France
| | - Mathieu Anheim
- CHU de Strasbourg, Service de Neurologie, Strasbourg, France
| | - Anna Castrioto
- CHU de Grenoble, Pole de Psychiatrie et de Neurologie, Grenoble, France
| | - Olivier Flabeau
- CH de la côte Basque, Service de Neurologie, Bayonne, France
| | - Bertrand Degos
- Département des Maladies du Système Nerveux, Hôpitaux Universitaires Pitié Salpêtrière - Charles Foix, Paris, France
| | - Claire Ewenczyk
- Hôpitaux universitaires Pitié Salpêtrière - Charles Foix, Service de Génétique, Paris, France
| | - Nizar Mahlaoui
- Hôpital Necker Enfants Malades, Service d'Immunologie, d'Hématologie et de Rhumatologie Pédiatriques, Paris, France
| | - Fabien Touzot
- Hôpital Necker Enfants Malades, Service d'Immunologie, d'Hématologie et de Rhumatologie Pédiatriques, Paris, France
| | - Felipe Suarez
- Hôpital Necker Enfants Malades, Service d'Hématologie Adulte, Paris, France
| | - Marie Hully
- Hôpital Necker Enfants Malades, Service de Neurologie Pédiatrique, Paris, France
| | - Agathe Roubertie
- CHU de Montpellier, Service de Neuropédiatrie, Montpellier, France
| | | | - François Tison
- CHU de Bordeaux, Département de Neurologie, Bordeaux, France
| | - Hélène Antoine-Poirel
- Centre de Génétique Humaine, Cliniques Universitaires Saint-Luc & Université Catholique de Louvain, Brussels, Belgium
| | - Karine Dahan
- Centre de Génétique Humaine, Cliniques Universitaires Saint-Luc & Université Catholique de Louvain, Brussels, Belgium
| | - Diane Doummar
- Hopital Armand Trousseau, Service de Neurologie Pédiatrique, Paris, France
| | | | - Christine Ioos
- Hôpital Raymond Poincaré, Pôle de Pédiatrie, Garches, France
| | | | - Alice Masurel
- Hopital d'Enfants de Dijon, Service de Génétique, Dijon, France
| | - Caroline Bourjault
- CH de Bretagne sud, Site du Scorff, Service de Pédiatrie, Lorient, France
| | | | - Fabienne Prieur
- CHU de St Etienne, Hôpital Nord, Service de Génétique Médicale, Saint Etienne, France
| | - Aurélie Siri
- CHU de Nancy, Service de Neurologie, Nancy, France
| | - Pierre Bordigoni
- CHU Nancy, Hôpitaux de Brabois, Service de Pédiatrie II, Vandoeuvre, France
| | - Karine Nguyen
- Département de Génétique Médicale, Hopital de la Timone, Marseille, France
| | - Noel Philippe
- Hopital Debrousse, Service d'Hématologie Pédiatrique, Lyon, France
| | - Céline Bellesme
- GH Cochin-saint-Vincent de Paul, Service d'Endocrinologie et de Neurologie Pédiatrique, Paris, France
| | - François Demeocq
- CHU de Clermont-Ferrand, Hôtel Dieu, Service de Pédiatrie B, Clermont-Ferrand, France
| | | | | | - Fanny Couderc
- CH d'Aix en Provence - du Pays d'Aix, Service de Pédiatrie, Aix en Provence, France
| | - Thilo Dörk
- Gynecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Nathalie Auger
- Gustave Roussy, Service Génétique des Tumeurs, Villejuif, France
| | - Béatrice Parfait
- Centre de ressources Biologiques, Hôpital Cochin, Assistance Publique-Hôpitaux de Paris, Paris, France
| | | | | | - Agnès Collet
- Institut Curie, Hôpital, Service de Génétique, Paris, France
| | - Dominique Stoppa-Lyonnet
- Institut Curie, PSL Research University, INSERM U830, Paris, France.,Institut Curie, Hôpital, Service de Génétique, Paris, France.,University Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Marc-Henri Stern
- Institut Curie, PSL Research University, INSERM U830, Paris, France.,Institut Curie, Hôpital, Service de Génétique, Paris, France
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18
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Fernandes VC, Golubeva VA, Di Pietro G, Shields C, Amankwah K, Nepomuceno TC, de Gregoriis G, Abreu RBV, Harro C, Gomes TT, Silva RF, Suarez-Kurtz G, Couch FJ, Iversen ES, Monteiro ANA, Carvalho MA. Impact of amino acid substitutions at secondary structures in the BRCT domains of the tumor suppressor BRCA1: Implications for clinical annotation. J Biol Chem 2019; 294:5980-5992. [PMID: 30765603 DOI: 10.1074/jbc.ra118.005274] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Revised: 02/06/2019] [Indexed: 01/07/2023] Open
Abstract
Genetic testing for BRCA1, a DNA repair protein, can identify carriers of pathogenic variants associated with a substantially increased risk for breast and ovarian cancers. However, an association with increased risk is unclear for a large fraction of BRCA1 variants present in the human population. Most of these variants of uncertain clinical significance lead to amino acid changes in the BRCA1 protein. Functional assays are valuable tools to assess the potential pathogenicity of these variants. Here, we systematically probed the effects of substitutions in the C terminus of BRCA1: the N- and C-terminal borders of its tandem BRCT domain, the BRCT-[N-C] linker region, and the α1 and α'1 helices in BRCT-[N] and -[C]. Using a validated transcriptional assay based on a fusion of the GAL4 DNA-binding domain to the BRCA1 C terminus (amino acids 1396-1863), we assessed the functional impact of 99 missense variants of BRCA1. We include the data obtained for these 99 missense variants in a joint analysis to generate the likelihood of pathogenicity for 347 missense variants in BRCA1 using VarCall, a Bayesian integrative statistical model. The results from this analysis increase our understanding of BRCA1 regions less tolerant to changes, identify functional borders of structural domains, and predict the likelihood of pathogenicity for 98% of all BRCA1 missense variants in this region recorded in the population. This knowledge will be critical for improving risk assessment and clinical treatment of carriers of BRCA1 variants.
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Affiliation(s)
- Vanessa C Fernandes
- From the Instituto Nacional de Câncer, Programa de Pesquisa Clínica, Rio de Janeiro, Brazil 20231-050
| | - Volha A Golubeva
- the Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612
| | - Giuliano Di Pietro
- the Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612; the Universidade Federal de Sergipe, Campus São Cristóvão, Brazil 49100-000
| | - Cara Shields
- the Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612
| | - Kwabena Amankwah
- the Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612
| | - Thales C Nepomuceno
- From the Instituto Nacional de Câncer, Programa de Pesquisa Clínica, Rio de Janeiro, Brazil 20231-050; the Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612
| | - Giuliana de Gregoriis
- From the Instituto Nacional de Câncer, Programa de Pesquisa Clínica, Rio de Janeiro, Brazil 20231-050
| | - Renata B V Abreu
- From the Instituto Nacional de Câncer, Programa de Pesquisa Clínica, Rio de Janeiro, Brazil 20231-050
| | - Carly Harro
- the Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612; the Department of Cell Biology, Microbiology, College of Arts and Sciences, University of South Florida Cancer Biology Ph.D. Program, Tampa, Florida 33612
| | - Thiago T Gomes
- the Instituto Federal do Rio de Janeiro, Rio de Janeiro 20270-021, Brazil
| | - Ricceli F Silva
- the Instituto Federal do Rio de Janeiro, Rio de Janeiro 20270-021, Brazil
| | - Guilherme Suarez-Kurtz
- From the Instituto Nacional de Câncer, Programa de Pesquisa Clínica, Rio de Janeiro, Brazil 20231-050
| | - Fergus J Couch
- the Department of Laboratory Medicine, Mayo Clinic, Rochester, Minnesota 55905
| | - Edwin S Iversen
- the Department of Statistics, Duke University, Durham, North Carolina 27710
| | - Alvaro N A Monteiro
- the Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612.
| | - Marcelo A Carvalho
- From the Instituto Nacional de Câncer, Programa de Pesquisa Clínica, Rio de Janeiro, Brazil 20231-050.
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19
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Caleca L, Colombo M, van Overeem Hansen T, Lázaro C, Manoukian S, Parsons MT, Spurdle AB, Radice P. GFP-Fragment Reassembly Screens for the Functional Characterization of Variants of Uncertain Significance in Protein Interaction Domains of the BRCA1 and BRCA2 Genes. Cancers (Basel) 2019; 11:E151. [PMID: 30696104 PMCID: PMC6406614 DOI: 10.3390/cancers11020151] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 01/22/2019] [Indexed: 01/14/2023] Open
Abstract
Genetic testing for BRCA1 and BRCA2 genes has led to the identification of many unique variants of uncertain significance (VUS). Multifactorial likelihood models that predict the odds ratio for VUS in favor or against cancer causality, have been developed, but their use is conditioned by the amount of necessary data, which are difficult to obtain if a variant is rare. As an alternative, variants mapping to the coding regions can be examined using in vitro functional assays. BRCA1 and BRCA2 proteins promote genome protection by interacting with different proteins. In this study, we assessed the functional effect of two sets of variants in BRCA genes by exploiting the green fluorescent protein (GFP)-reassembly in vitro assay, which was set-up to test the BRCA1/BARD1, BRCA1/UbcH5a, and BRCA2/DSS1 interactions. Based on the findings observed for the validation panels of previously classified variants, BRCA1/UbcH5a and BRCA2/DSS1 binding assays showed 100% sensitivity and specificity in identifying pathogenic and non-pathogenic variants. While the actual efficiency of these assays in assessing the clinical significance of BRCA VUS has to be verified using larger validation panels, our results suggest that the GFP-reassembly assay is a robust method to identify variants affecting normal protein functioning and contributes to the classification of VUS.
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Affiliation(s)
- Laura Caleca
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy.
| | - Mara Colombo
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy.
| | - Thomas van Overeem Hansen
- Center for Genomic Medicine, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark.
- Department of Clinical Genetics, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark.
| | - Conxi Lázaro
- Hereditary Cancer Program, Catalan Institute of Oncology. Program in Molecular Mechanisms and Experimental Therapy in Oncology (Oncobell), IDIBELL, Hospitalet de Llobregat, 08900 Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain.
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy.
| | - Michael T Parsons
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane 4029, Australia.
| | - Amanda B Spurdle
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane 4029, Australia.
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy.
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20
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Maresca L, Lodovichi S, Lorenzoni A, Cervelli T, Monaco R, Spugnesi L, Tancredi M, Falaschi E, Zavaglia K, Landucci E, Roncella M, Congregati C, Gadducci A, Naccarato AG, Caligo MA, Galli A. Functional Interaction Between BRCA1 and DNA Repair in Yeast May Uncover a Role of RAD50, RAD51, MRE11A, and MSH6 Somatic Variants in Cancer Development. Front Genet 2018; 9:397. [PMID: 30283497 PMCID: PMC6156519 DOI: 10.3389/fgene.2018.00397] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Accepted: 08/31/2018] [Indexed: 01/07/2023] Open
Abstract
In this study, we determined if BRCA1 partners involved in DNA double-strand break (DSB) and mismatch repair (MMR) may contribute to breast and ovarian cancer development. Taking advantage the functional conservation of DNA repair pathways between yeast and human, we expressed several BRCA1 missense variants in DNA repair yeast mutants to identify functional interaction between BRCA1 and DNA repair in BRCA1-induced genome instability. The pathogenic p.C61G, pA1708E, p.M775R, and p.I1766S, and the neutral pS1512I BRCA1 variants increased intra-chromosomal recombination in the DNA-repair proficient strain RSY6. In the mre11, rad50, rad51, and msh6 deletion strains, the BRCA1 variants p.C61G, pA1708E, p.M775R, p.I1766S, and pS1215I did not increase intra-chromosomal recombination suggesting that a functional DNA repair pathway is necessary for BRCA1 variants to determine genome instability. The pathogenic p.C61G and p.I1766S and the neutral p.N132K, p.Y179C, and p.N550H variants induced a significant increase of reversion in the msh2Δ strain; the neutral p.Y179C and the pathogenic p.I1766S variant induced gene reversion also, in the msh6Δ strain. These results imply a functional interaction between MMR and BRCA1 in modulating genome instability. We also performed a somatic mutational screening of MSH6, RAD50, MRE11A, and RAD51 genes in tumor samples from 34 patients and identified eight pathogenic or predicted pathogenic rare missense variants: four in MSH6, one in RAD50, one in MRE11A, and two in RAD51. Although we found no correlation between BRCA1 status and these somatic DNA repair variants, this study suggests that somatic missense variants in DNA repair genes may contribute to breast and ovarian tumor development.
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Affiliation(s)
- Luisa Maresca
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, Pisa, Italy
| | - Samuele Lodovichi
- Yeast Genetics and Genomics, Institute of Clinical Physiology, CNR Pisa, Pisa, Italy.,PhD Program in Clinical and Translational Sciences, University of Pisa, Pisa, Italy
| | - Alessandra Lorenzoni
- Yeast Genetics and Genomics, Institute of Clinical Physiology, CNR Pisa, Pisa, Italy
| | - Tiziana Cervelli
- Yeast Genetics and Genomics, Institute of Clinical Physiology, CNR Pisa, Pisa, Italy
| | - Rossella Monaco
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, Pisa, Italy
| | - Laura Spugnesi
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, Pisa, Italy
| | - Mariella Tancredi
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, Pisa, Italy
| | - Elisabetta Falaschi
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, Pisa, Italy
| | - Katia Zavaglia
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, Pisa, Italy
| | | | | | - Caterina Congregati
- Department of Clinical and Experimental Medicine, Division of Internal Medicine, University Hospital of Pisa, Pisa, Italy
| | - Angiolo Gadducci
- Department of Clinical and Experimental Medicine, Division of Gynecology and Obstetrics, University Hospital of Pisa, Pisa, Italy
| | - Antonio Giuseppe Naccarato
- Department of Translational Research and New Technologies in Medicine and Surgery, University Hospital of Pisa, Pisa, Italy
| | - Maria Adelaide Caligo
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, Pisa, Italy
| | - Alvaro Galli
- Yeast Genetics and Genomics, Institute of Clinical Physiology, CNR Pisa, Pisa, Italy
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21
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Thouvenot P, Fourrière L, Dardillac E, Ben Yamin B, Lescure A, Lejour V, Heiligenstein X, Boulé JB, Romao M, Raposo-Benedetti G, Lopez BS, Nicolas A, Millot GA. Yeast cells reveal the misfolding and the cellular mislocalization of the human BRCA1 protein. J Cell Sci 2016; 129:4366-4378. [PMID: 27802165 DOI: 10.1242/jcs.192880] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2016] [Accepted: 10/12/2016] [Indexed: 01/01/2023] Open
Abstract
Understanding the effect of an ever-growing number of human variants detected by genome sequencing is a medical challenge. The yeast Saccharomyces cerevisiae model has held attention for its capacity to monitor the functional impact of missense mutations found in human genes, including the BRCA1 breast and ovarian cancer susceptibility gene. When expressed in yeast, the wild-type full-length BRCA1 protein forms a single nuclear aggregate and induces a growth inhibition. Both events are modified by pathogenic mutations of BRCA1. However, the biological processes behind these events in yeast remain to be determined. Here, we show that the BRCA1 nuclear aggregation and the growth inhibition are sensitive to misfolding effects induced by missense mutations. Moreover, misfolding mutations impair the nuclear targeting of BRCA1 in yeast cells and in a human cell line. In conclusion, we establish a connection between misfolding and nuclear transport impairment, and we illustrate that yeast is a suitable model to decipher the effect of misfolding mutations.
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Affiliation(s)
- Pierre Thouvenot
- Institut Curie, PSL Research University, CNRS, UMR3244, 26 rue d'Ulm, Paris F-75005, France.,Sorbonne Universités, UPMC Univ Paris 06, CNRS, UMR3244, Paris F-75005, France
| | - Lou Fourrière
- Institut Curie, PSL Research University, CNRS, UMR3244, 26 rue d'Ulm, Paris F-75005, France.,Sorbonne Universités, UPMC Univ Paris 06, CNRS, UMR3244, Paris F-75005, France
| | - Elodie Dardillac
- CNRS UMR 8200, Institut de Cancerologie Gustave-Roussy, Université Paris-Saclay, 114 Rue Edouard Vaillant, Villejuif 94805, France
| | - Barbara Ben Yamin
- Institut Curie, PSL Research University, CNRS, UMR3244, 26 rue d'Ulm, Paris F-75005, France.,Sorbonne Universités, UPMC Univ Paris 06, CNRS, UMR3244, Paris F-75005, France
| | - Aurianne Lescure
- Institut Curie, PSL Research University, CNRS, UMR3244, 26 rue d'Ulm, Paris F-75005, France.,Sorbonne Universités, UPMC Univ Paris 06, CNRS, UMR3244, Paris F-75005, France
| | - Vincent Lejour
- Institut Curie, PSL Research University, CNRS, UMR3244, 26 rue d'Ulm, Paris F-75005, France.,Sorbonne Universités, UPMC Univ Paris 06, CNRS, UMR3244, Paris F-75005, France
| | - Xavier Heiligenstein
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, UMR3244, Paris F-75005, France.,Institut Curie, PSL Research University, CNRS, UMR144, 26 rue d'Ulm, Paris F-75005, France
| | - Jean-Baptiste Boulé
- Institut Curie, PSL Research University, CNRS, UMR3244, 26 rue d'Ulm, Paris F-75005, France.,Sorbonne Universités, UPMC Univ Paris 06, CNRS, UMR3244, Paris F-75005, France
| | - Maryse Romao
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, UMR3244, Paris F-75005, France.,Institut Curie, PSL Research University, CNRS, UMR144, 26 rue d'Ulm, Paris F-75005, France
| | - Graça Raposo-Benedetti
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, UMR3244, Paris F-75005, France.,Institut Curie, PSL Research University, CNRS, UMR144, 26 rue d'Ulm, Paris F-75005, France
| | - Bernard S Lopez
- CNRS UMR 8200, Institut de Cancerologie Gustave-Roussy, Université Paris-Saclay, 114 Rue Edouard Vaillant, Villejuif 94805, France
| | - Alain Nicolas
- Institut Curie, PSL Research University, CNRS, UMR3244, 26 rue d'Ulm, Paris F-75005, France.,Sorbonne Universités, UPMC Univ Paris 06, CNRS, UMR3244, Paris F-75005, France
| | - Gaël A Millot
- Institut Curie, PSL Research University, CNRS, UMR3244, 26 rue d'Ulm, Paris F-75005, France .,Sorbonne Universités, UPMC Univ Paris 06, CNRS, UMR3244, Paris F-75005, France
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