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Fabi A, Cortesi L, Duranti S, Cordisco EL, Di Leone A, Terribile D, Paris I, de Belvis AG, Orlandi A, Marazzi F, Muratore M, Garganese G, Fuso P, Paoletti F, Dell'Aquila R, Minucci A, Scambia G, Franceschini G, Masetti R, Genuardi M. Multigenic panels in breast cancer: Clinical utility and management of patients with pathogenic variants other than BRCA1/2. Crit Rev Oncol Hematol 2024; 201:104431. [PMID: 38977141 DOI: 10.1016/j.critrevonc.2024.104431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 06/14/2024] [Accepted: 06/24/2024] [Indexed: 07/10/2024] Open
Abstract
Multigene panels can analyze high and moderate/intermediate penetrance genes that predispose to breast cancer (BC), providing an opportunity to identify at-risk individuals within affected families. However, considering the complexity of different pathogenic variants and correlated clinical manifestations, a multidisciplinary team is needed to effectively manage BC. A classification of pathogenic variants included in multigene panels was presented in this narrative review to evaluate their clinical utility in BC. Clinical management was discussed for each category and focused on BC, including available evidence regarding the multidisciplinary and integrated management of patients with BC. The integration of both genetic testing and counseling is required for customized decisions in therapeutic strategies and preventative initiatives, as well as for a defined multidisciplinary approach, considering the continuous evolution of guidelines and research in the field.
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Affiliation(s)
- Alessandra Fabi
- Precision Medicine Unit in Senology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Laura Cortesi
- Department of Oncology and Haematology, Modena Hospital University, Modena Italy (Cortesi)
| | - Simona Duranti
- Scientific Directorate, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
| | - Emanuela Lucci Cordisco
- Section of Genomic Medicine, Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Rome, Italy; Medical Genetics Unit, Department of Laboratory and Infectious Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Alba Di Leone
- Breast Unit, Department of Woman and Child's Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Daniela Terribile
- Breast Unit, Department of Woman and Child's Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Ida Paris
- Division of Gynecologic Oncology, Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Antonio Giulio de Belvis
- Value Lab, Faculty of Economics, Università Cattolica del Sacro Cuore, Rome, Italy; Critical Pathways and Outcomes Evaluation Unit, Fondazione Policlinico Universitario "A. Gemelli", IRCCS, Rome, Italy
| | - Armando Orlandi
- Unit of Oncology, Comprehensive Cancer Centre, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Fabio Marazzi
- UOC Oncological Radiotherapy, Department of Diagnostic Imaging, Radiation Oncology and Haematology, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Roma, Italy
| | - Margherita Muratore
- Division of Gynecologic Oncology, Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori"
| | - Giorgia Garganese
- Division of Gynecologic Oncology, Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; Section of Obstetrics and Gynecology, Department of Woman and Child Health and Public Health, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Paola Fuso
- Division of Gynecologic Oncology, Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Filippo Paoletti
- Critical Pathways and Outcomes Evaluation Unit, Fondazione Policlinico Universitario "A. Gemelli", IRCCS, Rome, Italy
| | - Rossella Dell'Aquila
- Critical Pathways and Outcomes Evaluation Unit, Fondazione Policlinico Universitario "A. Gemelli", IRCCS, Rome, Italy
| | - Angelo Minucci
- Genomics Core Facility, Gemelli Science and Technology Park (GSTeP), Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Giovanni Scambia
- Division of Gynecologic Oncology, Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; Catholic University of the Sacred Heart, Rome, Italy
| | - Gianluca Franceschini
- Breast Unit, Department of Woman and Child's Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy; Catholic University of the Sacred Heart, Rome, Italy
| | - Riccardo Masetti
- Breast Unit, Department of Woman and Child's Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy; Catholic University of the Sacred Heart, Rome, Italy
| | - Maurizio Genuardi
- Section of Genomic Medicine, Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Rome, Italy; Medical Genetics Unit, Department of Laboratory and Infectious Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
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2
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Huang X, Chen C, Lin Y, Wang C, Zhou X, Xu Y, Sun Q, Zhou Y. Pedigree analysis exploring the inconsistency between diverse phenotypes and testing criteria for germline TP53 mutations in Chinese women with breast cancer. Breast Cancer Res Treat 2024; 206:653-666. [PMID: 38878125 PMCID: PMC11208215 DOI: 10.1007/s10549-024-07341-7] [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: 11/28/2023] [Accepted: 04/10/2024] [Indexed: 06/27/2024]
Abstract
PURPOSE In the present study, we addressed the inconsistency between the testing criteria and diverse phenotypes for germline TP53 mutation in patients with breast cancer in the Chinese population. METHOD We proposed a new added item (synchronous or metachronous bilateral breast cancer) as one of the testing criteria (aimed at high-penetrance breast cancer susceptibility genes) and applied it for determining TP53 germline mutation status in 420 female patients with breast cancer using multigene panel-based next-generation sequencing, Sanger sequencing, and mass spectrometry. RESULTS We found that 1.4% of patients carried a pathogenic or likely pathogenic germline TP53 mutation. Compared with BRCA mutation carriers (8.0%) and non-carriers (7.1%), TP53 mutation carriers (33.3%) developed breast cancer earlier. The majority of TP53 mutation carriers (66.7%) developed breast cancer after age 30 and had bilateral breast cancer (33.3%). Pedigree investigation of four TP53 carriers and a patient with a TP53 variant of unknown significance revealed that neither of their parents harbored the same mutations as the probands, indicating that the mutations might occur de novo. CONCLUSION Our study revealed distinguishing features of TP53 carriers among Chinese women with breast cancer, which is inconsistent with the currently used testing criteria; therefore, the newly proposed testing criteria may be more appropriate.
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Affiliation(s)
- Xin Huang
- Department of Breast Surgery, Peking Union Medical College Hospital, Beijing, China
| | - Chang Chen
- Department of Breast Surgery, Peking Union Medical College Hospital, Beijing, China
| | - Yan Lin
- Department of Breast Surgery, Peking Union Medical College Hospital, Beijing, China
| | - Changjun Wang
- Department of Breast Surgery, Peking Union Medical College Hospital, Beijing, China
| | - Xingtong Zhou
- Department of Breast Surgery, Peking Union Medical College Hospital, Beijing, China
| | - Ying Xu
- Department of Breast Surgery, Peking Union Medical College Hospital, Beijing, China
| | - Qiang Sun
- Department of Breast Surgery, Peking Union Medical College Hospital, Beijing, China
| | - Yidong Zhou
- Department of Breast Surgery, Peking Union Medical College Hospital, Beijing, China.
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3
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Luo M, Wong D, Zelley K, Wu J, Schubert J, Denenberg EH, Fanning EA, Chen J, Gallo D, Golenberg N, Patel M, Conlin LK, Maxwell KN, Wertheim GB, Surrey LF, Zhong Y, Brodeur GM, MacFarland SP, Li MM. Identification of TP53 germline variants in pediatric patients undergoing tumor testing: strategy and prevalence. J Natl Cancer Inst 2024; 116:1356-1365. [PMID: 38702830 DOI: 10.1093/jnci/djae102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 04/08/2024] [Accepted: 04/30/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND TP53 alterations are common in certain pediatric cancers, making identification of putative germline variants through tumor genomic profiling crucial for disease management. METHODS We analyzed TP53 alterations in 3123 tumors from 2788 pediatric patients sequenced using tumor-only or tumor-normal paired panels. Germline confirmatory testing was performed when indicated. Somatic and germline variants were classified based on published guidelines. RESULTS In 248 tumors from 222 patients, 284 tier 1/2 TP53 sequence and small copy number variants were detected. Following germline classification, 86.6% of 142 unique variants were pathogenic or likely pathogenic. Confirmatory testing on 118 patients revealed germline TP53 variants in 28 of them (23 pathogenic or likely pathogenic and 5 of uncertain significance), suggesting a minimum Li-Fraumeni syndrome incidence of 0.8% (23/2788) in this cohort, 10.4% (23/222) in patients with TP53 variant-carrying tumors, and 19.5% (23/118) with available normal samples. About 25% (7/28) of patients with germline TP53 variants did not meet Li-Fraumeni syndrome diagnostic or testing criteria, while 20.9% (28/134) with confirmed or inferred somatic origins did. TP53 biallelic inactivation occurred in 75% of germline carrier tumors and was also prevalent in other groups, causing an elevated tumor-observed variant allelic fraction. Somatic evidence, however, including low variant allele fraction correctly identified only 27.8% (25/90) of patients with confirmed somatic TP53 variants. CONCLUSION The high incidence and variable phenotype of Li-Fraumeni syndrome in this cohort highlights the importance of assessing germline status of TP53 variants identified in all pediatric tumors. Without clear somatic evidence, distinguishing somatic from germline origins is challenging. Classifying germline and somatic variants should follow appropriate guidelines.
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Affiliation(s)
- Minjie Luo
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Derek Wong
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Kristin Zelley
- Division of Oncology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jinhua Wu
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jeffery Schubert
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Elizabeth H Denenberg
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Elizabeth A Fanning
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jiani Chen
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Daniel Gallo
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Netta Golenberg
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Maha Patel
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Laura K Conlin
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kara N Maxwell
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Gerald B Wertheim
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Lea F Surrey
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yiming Zhong
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Garrett M Brodeur
- Division of Oncology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Suzanne P MacFarland
- Division of Oncology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marilyn M Li
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Oncology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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4
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Padigepati SR, Stafford DA, Tan CA, Silvis MR, Jamieson K, Keyser A, Nunez PAC, Nicoludis JM, Manders T, Fresard L, Kobayashi Y, Araya CL, Aradhya S, Johnson B, Nykamp K, Reuter JA. Scalable approaches for generating, validating and incorporating data from high-throughput functional assays to improve clinical variant classification. Hum Genet 2024; 143:995-1004. [PMID: 39085601 PMCID: PMC11303574 DOI: 10.1007/s00439-024-02691-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Accepted: 07/12/2024] [Indexed: 08/02/2024]
Abstract
As the adoption and scope of genetic testing continue to expand, interpreting the clinical significance of DNA sequence variants at scale remains a formidable challenge, with a high proportion classified as variants of uncertain significance (VUSs). Genetic testing laboratories have historically relied, in part, on functional data from academic literature to support variant classification. High-throughput functional assays or multiplex assays of variant effect (MAVEs), designed to assess the effects of DNA variants on protein stability and function, represent an important and increasingly available source of evidence for variant classification, but their potential is just beginning to be realized in clinical lab settings. Here, we describe a framework for generating, validating and incorporating data from MAVEs into a semi-quantitative variant classification method applied to clinical genetic testing. Using single-cell gene expression measurements, cellular evidence models were built to assess the effects of DNA variation in 44 genes of clinical interest. This framework was also applied to models for an additional 22 genes with previously published MAVE datasets. In total, modeling data was incorporated from 24 genes into our variant classification method. These data contributed evidence for classifying 4043 observed variants in over 57,000 individuals. Genetic testing laboratories are uniquely positioned to generate, analyze, validate, and incorporate evidence from high-throughput functional data and ultimately enable the use of these data to provide definitive clinical variant classifications for more patients.
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Affiliation(s)
| | | | | | - Melanie R Silvis
- Invitae Corporation, San Francisco, CA, 94103, USA
- Epic Bio, South San Francisco, CA, 94080, USA
| | - Kirsty Jamieson
- Invitae Corporation, San Francisco, CA, 94103, USA
- Epic Bio, South San Francisco, CA, 94080, USA
| | - Andrew Keyser
- Invitae Corporation, San Francisco, CA, 94103, USA
- Calico Life Sciences, South San Francisco, CA, 94080, USA
| | | | - John M Nicoludis
- Invitae Corporation, San Francisco, CA, 94103, USA
- Department of Structural Biology, Genentech, South San Francisco, CA, 94080, USA
| | - Toby Manders
- Invitae Corporation, San Francisco, CA, 94103, USA
| | | | | | - Carlos L Araya
- Invitae Corporation, San Francisco, CA, 94103, USA
- Tapanti.org, Santa Barbara, CA, 93108, USA
| | | | - Britt Johnson
- Invitae Corporation, San Francisco, CA, 94103, USA
- GeneDx, Stamford, CT, 06902, USA
| | - Keith Nykamp
- Invitae Corporation, San Francisco, CA, 94103, USA.
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5
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Sandoval RL, Bottosso M, Tianyu L, Polidorio N, Bychkovsky BL, Verret B, Gennari A, Cahill S, Achatz MI, Caron O, Imbert-Bouteille M, Noguès C, Mawell KN, Fortuno C, Spurdle AB, Tayob N, Andre F, Garber JE. TP53-associated early breast cancer: new observations from a large cohort. J Natl Cancer Inst 2024; 116:1246-1254. [PMID: 38569880 PMCID: PMC11308175 DOI: 10.1093/jnci/djae074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 03/19/2024] [Accepted: 03/21/2024] [Indexed: 04/05/2024] Open
Abstract
BACKGROUND A recent large, well-annotated international cohort of patients with Li-Fraumeni syndrome and early-stage breast cancer was examined for shared features. METHODS This multicenter cohort study included women with a germline TP53 pathogenic or likely pathogenic variant and nonmetastatic breast cancer diagnosed between 2002 and 2022. Clinical and genetic data were obtained from institutional registries and clinical charts. Descriptive statistics were used to summarize proportions, and differences were assessed using χ2 or Wilcoxon rank sum tests. Metachronous contralateral breast cancer risk, radiation-induced sarcoma risk, and recurrence-free survival were analyzed using the Kaplan-Meier methodology. RESULTS Among 227 women who met study criteria, the median age of first breast cancer diagnosis was 37 years (range = 21-71), 11.9% presented with bilateral synchronous breast cancer, and 18.1% had ductal carcinoma in situ only. In total, 166 (73.1%) patients underwent mastectomies, including 67 bilateral mastectomies as first breast cancer surgery. Among those patients with retained breast tissue, the contralateral breast cancer rate was 25.3% at 5 years. Among 186 invasive tumors, 72.1% were stages I to II, 48.9% were node negative, and the most common subtypes were hormone receptor-positive/HER2-negative (40.9%) and hormone receptor positive/HER2 positive (34.4%). At a median follow-up of 69.9 months (interquartile range = 32.6-125.9), invasive hormone receptor-positive/HER2-negative disease had the highest recurrence risk among the subtypes (5-year recurrence-free survival = 61.1%, P = .001). Among those who received radiation therapy (n = 79), the 5-year radiation-induced sarcoma rate was 4.8%. CONCLUSION We observed high rates of ductal carcinoma in situ, hormone receptor-positive, and HER2-positive breast cancers, with a worse outcome in the hormone receptor-positive/HER2-negative luminal tumors, despite appropriate treatment. Confirmation of these findings in further studies could have implications for breast cancer care in those with Li-Fraumeni syndrome.
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Affiliation(s)
- Renata L Sandoval
- Medical Oncology Center, Hospital Sírio-Libanês, Brasília, DF, Brazil
- Division of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Michele Bottosso
- Department of Surgery, Oncology and Gastroenterology, University of Padua, Padua, Italy
- Medical Oncology Department, Gustave Roussy Cancer Campus, INERM U981, Université Paris Saclay, France
| | - Li Tianyu
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Natalia Polidorio
- Breast Surgery Department, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Brittany L Bychkovsky
- Division of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA, USA
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
- Harvard Medical School, Boston, MA, USA
| | - Benjamin Verret
- Medical Oncology Department, Gustave Roussy Cancer Campus, INERM U981, Université Paris Saclay, France
| | - Alessandra Gennari
- Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy
| | - Sophie Cahill
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Olivier Caron
- Medical Oncology Department, Institut Gustave Roussy, Villejuif, France
| | | | - Catherine Noguès
- Cancer Risk Management Department, Clinical Oncogenetics, Institut Paoli-Calmettes, Marseille, France
- Aix Marseille Université, INSERM, IRD, SESSTIM, Marseille, France
| | - Kara N Mawell
- Department of Medicine, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Cristina Fortuno
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Amanda B Spurdle
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Nabihah Tayob
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Fabrice Andre
- Medical Oncology Department, Gustave Roussy Cancer Campus, INERM U981, Université Paris Saclay, France
| | - Judy E Garber
- Division of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA, USA
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
- Harvard Medical School, Boston, MA, USA
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6
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Davidson AL, Michailidou K, Parsons MT, Fortuno C, Bolla MK, Wang Q, Dennis J, Naven M, Abubakar M, Ahearn TU, Alonso MR, Andrulis IL, Antoniou AC, Auvinen P, Behrens S, Bermisheva MA, Bogdanova NV, Bojesen SE, Brüning T, Byers HJ, Camp NJ, Campbell A, Castelao JE, Cessna MH, Chang-Claude J, Chanock SJ, Chenevix-Trench G, Collée JM, Czene K, Dörk T, Eriksson M, Evans DG, Fasching PA, Figueroa JD, Flyger H, Gago-Dominguez M, García-Closas M, Glendon G, González-Neira A, Grassmann F, Gronwald J, Guénel P, Hadjisavvas A, Haeberle L, Hall P, Hamann U, Hartman M, Ho PJ, Hooning MJ, Hoppe R, Howell A, Jakubowska A, Khusnutdinova EK, Kristensen VN, Li J, Lim J, Lindblom A, Liu J, Lophatananon A, Mannermaa A, Mavroudis DA, Mensenkamp AR, Milne RL, Muir KR, Newman WG, Obi N, Panayiotidis MI, Park SK, Park-Simon TW, Peterlongo P, Radice P, Rashid MU, Rhenius V, Saloustros E, Sawyer EJ, Schmidt MK, Seibold P, Shah M, Southey MC, Teo SH, Tomlinson I, Torres D, Truong T, van de Beek I, van der Hout AH, Wendt CC, Dunning AM, Pharoah PDP, Devilee P, Easton DF, James PA, Spurdle AB. Co-observation of germline pathogenic variants in breast cancer predisposition genes: Results from analysis of the BRIDGES sequencing dataset. Am J Hum Genet 2024:S0002-9297(24)00246-5. [PMID: 39096911 DOI: 10.1016/j.ajhg.2024.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 07/03/2024] [Accepted: 07/03/2024] [Indexed: 08/05/2024] Open
Abstract
Co-observation of a gene variant with a pathogenic variant in another gene that explains the disease presentation has been designated as evidence against pathogenicity for commonly used variant classification guidelines. Multiple variant curation expert panels have specified, from consensus opinion, that this evidence type is not applicable for the classification of breast cancer predisposition gene variants. Statistical analysis of sequence data for 55,815 individuals diagnosed with breast cancer from the BRIDGES sequencing project was undertaken to formally assess the utility of co-observation data for germline variant classification. Our analysis included expected loss-of-function variants in 11 breast cancer predisposition genes and pathogenic missense variants in BRCA1, BRCA2, and TP53. We assessed whether co-observation of pathogenic variants in two different genes occurred more or less often than expected under the assumption of independence. Co-observation of pathogenic variants in each of BRCA1, BRCA2, and PALB2 with the remaining genes was less frequent than expected. This evidence for depletion remained after adjustment for age at diagnosis, study design (familial versus population-based), and country. Co-observation of a variant of uncertain significance in BRCA1, BRCA2, or PALB2 with a pathogenic variant in another breast cancer gene equated to supporting evidence against pathogenicity following criterion strength assignment based on the likelihood ratio and showed utility in reclassification of missense BRCA1 and BRCA2 variants identified in BRIDGES. Our approach has applicability for assessing the value of co-observation as a predictor of variant pathogenicity in other clinical contexts, including for gene-specific guidelines developed by ClinGen Variant Curation Expert Panels.
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Affiliation(s)
- Aimee L Davidson
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Kyriaki Michailidou
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia 2371, Cyprus; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Michael T Parsons
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Cristina Fortuno
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Marc Naven
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Mustapha Abubakar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20850, USA
| | - Thomas U Ahearn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20850, USA
| | - M Rosario Alonso
- Human Genotyping Unit-CeGen, Spanish National Cancer Research Centre (CNIO), 28029 Madrid, Spain
| | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario M5G 1X5, Canada; Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Päivi Auvinen
- Translational Cancer Research Area, University of Eastern Finland, 70210 Kuopio, Finland; Institute of Clinical Medicine, Oncology, University of Eastern Finland, 70210 Kuopio, Finland; Department of Oncology, Cancer Center, Kuopio University Hospital, 70210 Kuopio, Finland
| | - Sabine Behrens
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Marina A Bermisheva
- Institute of Biochemistry and Genetics of the Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa 450054, Russia
| | - Natalia V Bogdanova
- Department of Radiation Oncology, Hannover Medical School, 30625 Hannover, Germany; Gynaecology Research Unit, Hannover Medical School, 30625 Hannover, Germany; N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk 223040, Belarus
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, 2730 Herlev, Denmark; Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, 2730 Herlev, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Thomas Brüning
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum, 44789 Bochum, Germany
| | - Helen J Byers
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9WL, UK
| | - Nicola J Camp
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics & Cancer, The University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh EH16 4UX, UK
| | - Jose E Castelao
- Oncology and Genetics Unit, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS) Foundation, Complejo Hospitalario Universitario de Santiago, SERGAS, 36312 Vigo, Spain
| | - Melissa H Cessna
- Department of Pathology, Intermountain Health, Murray, UT, USA; Intermountain Biorepository, Intermountain Health, Murray, UT, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20850, USA
| | - Georgia Chenevix-Trench
- Cancer Research Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | | | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 65 Stockholm, Sweden
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, 30625 Hannover, Germany
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 65 Stockholm, Sweden
| | - D Gareth Evans
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9WL, UK; Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, 91054 Erlangen, Germany
| | - Jonine D Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20850, USA; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh EH16 4UX, UK; Cancer Research UK Edinburgh Centre, The University of Edinburgh, Edinburgh EH4 2XR, UK
| | - Henrik Flyger
- Department of Breast Surgery, Herlev and Gentofte Hospital, Copenhagen University Hospital, 2730 Herlev, Denmark
| | - Manuela Gago-Dominguez
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Fundación Pública Gallega de IDIS, Cancer Genetics and Epidemiology Group, Genomic Medicine Group, 15706 Santiago de Compostela, Spain
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20850, USA; The Division of Genetics and Epidemiology, The Institute of Cancer Research, London SM2 5NG, UK
| | - Gord Glendon
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario M5G 1X5, Canada
| | - Anna González-Neira
- Human Genotyping Unit-CeGen, Spanish National Cancer Research Centre (CNIO), 28029 Madrid, Spain
| | - Felix Grassmann
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 65 Stockholm, Sweden; Health and Medical University, Potsdam, Germany
| | - Jacek Gronwald
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, 70-115 Szczecin, Poland
| | - Pascal Guénel
- Paris-Saclay University, UVSQ, INSERM, Gustave Roussay, CESP, 94805 Villejuif, France
| | - Andreas Hadjisavvas
- Department of Cancer Genetics, Therapeutics and Ultrastructural Pathology, The Cyprus Institute of Neurology & Genetics, Nicosia 2371, Cyprus
| | - Lothar Haeberle
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, 91054 Erlangen, Germany
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 65 Stockholm, Sweden; Department of Oncology, Södersjukhuset, 118 83 Stockholm, Sweden
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Mikael Hartman
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore City 117549, Singapore; Department of Surgery, National University Hospital and National University Health System, Singapore City 119228, Singapore; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore City 119228, Singapore
| | - Peh Joo Ho
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore City 117549, Singapore; Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A(∗)STAR), Singapore City 138672, Singapore
| | - Maartje J Hooning
- Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, the Netherlands
| | - Reiner Hoppe
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, 70376 Stuttgart, Germany; University of Tübingen, 72074 Tübingen, Germany
| | - Anthony Howell
- Division of Cancer Sciences, University of Manchester, Manchester M13 9PL, UK
| | - Anna Jakubowska
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, 70-115 Szczecin, Poland; Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, 171-252 Szczecin, Poland
| | - Elza K Khusnutdinova
- Institute of Biochemistry and Genetics of the Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa 450054, Russia; Federal State Budgetary Educational Institution of Higher Education, Saint Petersburg State University, St. Petersburg 199034, Russia
| | - Vessela N Kristensen
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, 0379 Oslo, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0450 Oslo, Norway
| | - Jingmei Li
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A(∗)STAR), Singapore City 138672, Singapore
| | - Joanna Lim
- Breast Cancer Research Programme, Cancer Research Malaysia, Subang Jaya, Selangor 47500, Malaysia
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 171 76 Stockholm, Sweden; Department of Clinical Genetics, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Jenny Liu
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore City 117549, Singapore; Department of General Surgery, Ng Teng Fong General Hospital, Singapore City 609606, Singapore
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PL, UK
| | - Arto Mannermaa
- Translational Cancer Research Area, University of Eastern Finland, 70210 Kuopio, Finland; Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, 70210 Kuopio, Finland; Biobank of Eastern Finland, Kuopio University Hospital, Kuopio, Finland
| | - Dimitrios A Mavroudis
- Department of Medical Oncology, University Hospital of Heraklion, 711 10 Heraklion, Greece
| | - Arjen R Mensenkamp
- Department of Human Genetics, Radboud University Medical Center, 6525 Nijmegen GA, the Netherlands
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC 3004, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia
| | - Kenneth R Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PL, UK
| | - William G Newman
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9WL, UK; Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
| | - Nadia Obi
- Institute for Occupational and Maritime Medicine, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; Institute for Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Mihalis I Panayiotidis
- Department of Cancer Genetics, Therapeutics and Ultrastructural Pathology, The Cyprus Institute of Neurology & Genetics, Nicosia 2371, Cyprus
| | - Sue K Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Korea; Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul 03080, Korea; Cancer Research Institute, Seoul National University, Seoul 03080, Korea
| | | | - Paolo Peterlongo
- Genome Diagnostics Program, IFOM ETS - the AIRC Institute of Molecular Oncology, 20139 Milan, Italy
| | - Paolo Radice
- Predictive Medicine: Molecular Bases of Genetic Risk, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale Dei Tumori (INT), 20133 Milan, Italy
| | - Muhammad U Rashid
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; Department of Basic Sciences, Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH & RC), Lahore 54000, Pakistan
| | - Valerie Rhenius
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Emmanouil Saloustros
- Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece
| | - Elinor J Sawyer
- School of Cancer & Pharmaceutical Sciences, Comprehensive Cancer Centre, Guy's Campus, King's College London, London, UK
| | - Marjanka K Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands; Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, 1066 CX Amsterdam, the Netherlands; Department of Clinical Genetics, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands
| | - Petra Seibold
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC 3004, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia; Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Soo Hwang Teo
- Breast Cancer Research Programme, Cancer Research Malaysia, Subang Jaya, Selangor 47500, Malaysia; Department of Surgery, Faculty of Medicine, University of Malaya, UM Cancer Research Institute, Kuala Lumpur 50603, Malaysia
| | - Ian Tomlinson
- Department of Oncology, University of Oxford, Oxford OX3 7LF, UK
| | - Diana Torres
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; Institute of Human Genetics, Pontificia Universidad Javeriana, Bogota 110231, Colombia
| | - Thérèse Truong
- Paris-Saclay University, UVSQ, INSERM, Gustave Roussay, CESP, 94805 Villejuif, France
| | - Irma van de Beek
- Department of Clinical Genetics, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, 1066 CX Amsterdam, the Netherlands
| | - Annemieke H van der Hout
- Department of Genetics, University Medical Center Groningen, University Groningen, 9713 GZ Groningen, the Netherlands
| | - Camilla C Wendt
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, 118 83 Stockholm, Sweden
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Paul D P Pharoah
- Department of Computational Biomedicine, Cedars-Sinai Medical Center, West Hollywood, CA 90069, USA
| | - Peter Devilee
- Department of Pathology, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands; Department of Human Genetics, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Paul A James
- Parkville Familial Cancer Centre, The Royal Melbourne Hospital and Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia
| | - Amanda B Spurdle
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia; Faculty of Medicine, The University of Queensland, Brisbane, QLD 4072, Australia.
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7
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Abreu RBV, Pereira AS, Rosa MN, Ashton-Prolla P, Silva VAO, Melendez ME, Palmero EI. Functional evaluation of germline TP53 variants identified in Brazilian families at-risk for Li-Fraumeni syndrome. Sci Rep 2024; 14:17187. [PMID: 39060302 PMCID: PMC11282216 DOI: 10.1038/s41598-024-67810-3] [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: 01/25/2024] [Accepted: 07/16/2024] [Indexed: 07/28/2024] Open
Abstract
Germline TP53 pathogenic variants can lead to a cancer susceptibility syndrome known as Li-Fraumeni (LFS). Variants affecting its activity can drive tumorigenesis altering p53 pathways and their identification is crucial for assessing individual risk. This study explored the functional impact of TP53 missense variants on its transcription factor activity. We selected seven TP53 missense variants (c.129G > C, c.320A > G, c.417G > T, c.460G > A, c,522G > T, c.589G > A and c.997C > T) identified in Brazilian families at-risk for LFS. Variants were created through site-directed mutagenesis and transfected into SK-OV-3 cells to assess their transcription activation capabilities. Variants K139N and V197M displayed significantly reduced transactivation activity in a TP53-dependent luciferase reporter assay. Additionally, K139N negatively impacted CDKN1A and MDM2 expression and had a limited effect on GADD45A and PMAIP1 upon irradiation-induced DNA damage. Variant V197M demonstrated functional impact in all target genes evaluated and loss of Ser15 phosphorylation. K139N and V197M variants presented a reduction of p21 levels after irradiation. Our data show that K139N and V197M negatively impact p53 functions, supporting their classification as pathogenic variants. This underscores the significance of conducting functional studies on germline TP53 missense variants classified as variants of uncertain significance to ensure proper management of LFS-related cancer risks.
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Affiliation(s)
- Renata B V Abreu
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, Brazil
- Laboratory of Basic Biology of Stem Cells (Labcet), Carlos Chagas Institute, Fiocruz, Curitiba, Brazil
| | - Ariane S Pereira
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, Brazil
| | - Marcela N Rosa
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, Brazil
| | - Patricia Ashton-Prolla
- Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Department of Genetics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Viviane A O Silva
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, Brazil
- Department of Pathology, School of Medicine, Federal University of Bahia, Salvador, Bahia, Brazil
- Gonçalo Moniz Institute, Oswaldo Cruz Foundation (IGM-FIOCRUZ/BA), Salvador, Bahia, Brazil
| | - Matias E Melendez
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, Brazil
- Molecular Carcinogenesis Program, Brazilian National Cancer Institute, Rio de Janeiro, Brazil
| | - Edenir I Palmero
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, Brazil.
- Department of Genetics, Brazilian National Cancer Institute, Rio de Janeiro, Brazil.
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8
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Malcikova J, Pavlova S, Baliakas P, Chatzikonstantinou T, Tausch E, Catherwood M, Rossi D, Soussi T, Tichy B, Kater AP, Niemann CU, Davi F, Gaidano G, Stilgenbauer S, Rosenquist R, Stamatopoulos K, Ghia P, Pospisilova S. ERIC recommendations for TP53 mutation analysis in chronic lymphocytic leukemia-2024 update. Leukemia 2024; 38:1455-1468. [PMID: 38755420 PMCID: PMC11217004 DOI: 10.1038/s41375-024-02267-x] [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: 01/04/2024] [Revised: 04/24/2024] [Accepted: 04/25/2024] [Indexed: 05/18/2024]
Abstract
In chronic lymphocytic leukemia (CLL), analysis of TP53 aberrations (deletion and/or mutation) is a crucial part of treatment decision-making algorithms. Technological and treatment advances have resulted in the need for an update of the last recommendations for TP53 analysis in CLL, published by ERIC, the European Research Initiative on CLL, in 2018. Based on the current knowledge of the relevance of low-burden TP53-mutated clones, a specific variant allele frequency (VAF) cut-off for reporting TP53 mutations is no longer recommended, but instead, the need for thorough method validation by the reporting laboratory is emphasized. The result of TP53 analyses should always be interpreted within the context of available laboratory and clinical information, treatment indication, and therapeutic options. Methodological aspects of introducing next-generation sequencing (NGS) in routine practice are discussed with a focus on reliable detection of low-burden clones. Furthermore, potential interpretation challenges are presented, and a simplified algorithm for the classification of TP53 variants in CLL is provided, representing a consensus based on previously published guidelines. Finally, the reporting requirements are highlighted, including a template for clinical reports of TP53 aberrations. These recommendations are intended to assist diagnosticians in the correct assessment of TP53 mutation status, but also physicians in the appropriate understanding of the lab reports, thus decreasing the risk of misinterpretation and incorrect management of patients in routine practice whilst also leading to improved stratification of patients with CLL in clinical trials.
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Affiliation(s)
- Jitka Malcikova
- Department of Internal Medicine, Hematology and Oncology, and Institute of Medical Genetics and Genomics, University Hospital Brno and Medical Faculty, Masaryk University, Brno, Czech Republic
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Sarka Pavlova
- Department of Internal Medicine, Hematology and Oncology, and Institute of Medical Genetics and Genomics, University Hospital Brno and Medical Faculty, Masaryk University, Brno, Czech Republic
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Panagiotis Baliakas
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | | | - Eugen Tausch
- Division of CLL, Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Mark Catherwood
- Haematology Department, Belfast Health and Social Care Trust, Belfast, United Kingdom
| | - Davide Rossi
- Hematology, Oncology Institute of Southern Switzerland and Institute of Oncology Research, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Thierry Soussi
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
- Hematopoietic and Leukemic Development, UMRS_938, Sorbonne University, Paris, France
| | - Boris Tichy
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Arnon P Kater
- Department of Hematology, Cancer Center Amsterdam, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | | | - Frederic Davi
- Sorbonne Université, Paris, France
- Department of Hematology, Hôpital Pitié-Salpêtière, AP-HP, Paris, France
| | - Gianluca Gaidano
- Division of Haematology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Stephan Stilgenbauer
- Division of CLL, Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics and Genomics, Karolinska University Hospital, Stockholm, Sweden
| | - Kostas Stamatopoulos
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece
| | - Paolo Ghia
- Università Vita-Salute San Raffaele, Milan, Italy.
- Strategic Research Program on CLL, Division of Experimental Oncology, IRCCS Ospedale San Raffaele, Milan, Italy.
| | - Sarka Pospisilova
- Department of Internal Medicine, Hematology and Oncology, and Institute of Medical Genetics and Genomics, University Hospital Brno and Medical Faculty, Masaryk University, Brno, Czech Republic.
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
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9
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Arbesfeld JA, Da EY, Stevenson JS, Kuzma K, Paul A, Farris T, Capodanno BJ, Grindstaff SB, Riehle K, Saraiva-Agostinho N, Safer JF, Milosavljevic A, Foreman J, Firth HV, Hunt SE, Iqbal S, Cline MS, Rubin AF, Wagner AH. Mapping MAVE data for use in human genomics applications. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.06.20.545702. [PMID: 38979347 PMCID: PMC11230167 DOI: 10.1101/2023.06.20.545702] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
The large-scale experimental measures of variant functional assays submitted to MaveDB have the potential to provide key information for resolving variants of uncertain significance, but the reporting of results relative to assayed sequence hinders their downstream utility. The Atlas of Variant Effects Alliance mapped multiplexed assays of variant effect data to human reference sequences, creating a robust set of machine-readable homology mappings. This method processed approximately 2.5 million protein and genomic variants in MaveDB, successfully mapping 98.61% of examined variants and disseminating data to resources such as the UCSC Genome Browser and Ensembl Variant Effect Predictor.
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Affiliation(s)
- Jeremy A Arbesfeld
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH
| | - Estelle Y Da
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
| | - James S Stevenson
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH
| | - Kori Kuzma
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH
| | - Anika Paul
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH
| | - Tierra Farris
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | | | | | - Kevin Riehle
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Nuno Saraiva-Agostinho
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom
| | - Jordan F Safer
- The Center for the Development of Therapeutics, The Broad Institute of MIT and Harvard, Cambridge, MA
| | | | - Julia Foreman
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom
| | - Helen V Firth
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom
| | - Sarah E Hunt
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom
| | - Sumaiya Iqbal
- The Center for the Development of Therapeutics, The Broad Institute of MIT and Harvard, Cambridge, MA
| | - Melissa S Cline
- BRCA Exchange, University of California Santa Cruz, Santa Cruz, CA
| | - Alan F Rubin
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Australia
| | - Alex H Wagner
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH
- Department of Pediatrics and Biomedical Informatics, The Ohio State University, Columbus, OH
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10
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Moore ME, Williams E, Pelkey L, Courville EL. A comparison of WHO-5 and ICC classifications in a series of myeloid neoplasms, considerations for hematopathologists and molecular pathologists. Cancer Genet 2024; 286-287:25-28. [PMID: 38964162 DOI: 10.1016/j.cancergen.2024.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 05/19/2024] [Accepted: 06/15/2024] [Indexed: 07/06/2024]
Abstract
OBJECTIVES The International Consensus Classification (ICC) and 5th Edition of the World Health Organization Classification (WHO-5) made substantive updates to the classification of myeloid neoplasms. This study compares the systems in a series of myeloid neoplasms with increased blasts, analyzing implications for diagnostic workflow and reporting. METHODS Bone marrow biopsies categorized as myelodysplastic syndrome with excess blasts (MDS-EB) or acute myeloid leukemia (AML) by WHO-R4 were identified. Results of morphology review, karyotype, fluorescence in situ hybridization, and next-generation sequencing were compiled. Cases were retrospectively re-classified by WHO-5 and ICC. RESULTS 46 cases were reviewed. 28 cases (61 %) had ≥20 % blasts, with the remaining cases having 5-19.5 % blasts. The most common differences in classification were 1) the designation of MDS versus MDS/AML (10/46, 22 %) for cases with 10-19 % blasts and 2) the ICC's designation of TP53 variants as a separate classifier for AML (8/46, 17 %). Bi-allelic/multi-hit TP53 alterations were identified in 15 cases (33 %). Variants of potential germline significance were identified in 29 (63 %) cases. CONCLUSIONS While terminology differences between WHO-5 and ICC exist, both systems invoke similar opportunities for improved reporting: standardized classification of pathogenic variants (notably TP53), streamlined systems to evaluate for potential germline variants, and integrated reporting of morphologic and genetic data.
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Affiliation(s)
- Margaret E Moore
- University of Virginia, Department of Pathology and Laboratory Medicine, United States.
| | - Eli Williams
- University of Virginia, Department of Pathology and Laboratory Medicine, United States
| | - Lauren Pelkey
- University of Virginia, Department of Pathology and Laboratory Medicine, United States
| | - Elizabeth L Courville
- University of Virginia, Department of Pathology and Laboratory Medicine, United States
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11
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Choi Y, Choi SA, Koh EJ, Yun I, Park S, Jeon S, Kim Y, Park S, Woo D, Phi JH, Park SH, Kim DS, Kim SH, Choi JW, Lee JW, Jung TY, Bhak J, Lee S, Kim SK. Comprehensive multiomics analysis reveals distinct differences between pediatric choroid plexus papilloma and carcinoma. Acta Neuropathol Commun 2024; 12:93. [PMID: 38867333 PMCID: PMC11167863 DOI: 10.1186/s40478-024-01814-y] [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: 02/08/2024] [Accepted: 06/02/2024] [Indexed: 06/14/2024] Open
Abstract
Choroid plexus tumors (CPTs) are intraventricular tumors derived from the choroid plexus epithelium and occur frequently in children. The aim of this study was to investigate the genomic and epigenomic characteristics of CPT and identify the differences between choroid plexus papilloma (CPP) and choroid plexus carcinoma (CPC). We conducted multiomics analyses of 20 CPT patients including CPP and CPC. Multiomics analysis included whole-genome sequencing, whole-transcriptome sequencing, and methylation sequencing. Mutually exclusive TP53 and EPHA7 point mutations, coupled with the amplification of chromosome 1, were exclusively identified in CPC. In contrast, amplification of chromosome 9 was specific to CPP. Differential gene expression analysis uncovered a significant overexpression of genes related to cell cycle regulation and epithelial-mesenchymal transition pathways in CPC compared to CPP. Overexpression of genes associated with tumor metastasis and progression was observed in the CPC subgroup with leptomeningeal dissemination. Furthermore, methylation profiling unveiled hypomethylation in major repeat regions, including long interspersed nuclear elements, short interspersed nuclear elements, long terminal repeats, and retrotransposons in CPC compared to CPP, implying that the loss of epigenetic silencing of transposable elements may play a role in tumorigenesis of CPC. Finally, the differential expression of AK1, regulated by both genomic and epigenomic factors, emerged as a potential contributing factor to the histological difference of CPP against CPC. Our results suggest pronounced genomic and epigenomic disparities between CPP and CPC, providing insights into the pathogenesis of CPT at the molecular level.
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Affiliation(s)
- Yeonsong Choi
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea
- Korean Genomics Center, UNIST, Ulsan, Republic of Korea
| | - Seung Ah Choi
- Division of Pediatric Neurosurgery, Seoul National University Children's Hospital, Seoul, Republic of Korea
- Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Eun Jung Koh
- Division of Pediatric Neurosurgery, Seoul National University Children's Hospital, Seoul, Republic of Korea
- Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ilsun Yun
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea
- Korean Genomics Center, UNIST, Ulsan, Republic of Korea
| | - Suhyun Park
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea
- Korean Genomics Center, UNIST, Ulsan, Republic of Korea
| | | | | | - Sangbeen Park
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea
| | - Donggeon Woo
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea
| | - Ji Hoon Phi
- Division of Pediatric Neurosurgery, Seoul National University Children's Hospital, Seoul, Republic of Korea
- Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
- Neuroscience Research Institute, Seoul National University Medical Research Center, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sung-Hye Park
- Department of Pathology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dong-Seok Kim
- Department of Pediatric Neurosurgery, Severance Children's Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Se Hoon Kim
- Department of Pathology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jung Won Choi
- Department of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Ji Won Lee
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Tae-Young Jung
- Department of Neurosurgery, Chonnam National University Medical School and Hwasun Hospital, Hwasun, Republic of Korea
| | - Jong Bhak
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea
- Korean Genomics Center, UNIST, Ulsan, Republic of Korea
- Clinomics Inc., Ulsan, Republic of Korea
| | - Semin Lee
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea.
- Korean Genomics Center, UNIST, Ulsan, Republic of Korea.
| | - Seung-Ki Kim
- Division of Pediatric Neurosurgery, Seoul National University Children's Hospital, Seoul, Republic of Korea.
- Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.
- Neuroscience Research Institute, Seoul National University Medical Research Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
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12
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Ea V, Berthozat C, Dreyfus H, Legrand C, Rousselet E, Peysselon M, Baudet L, Martinez G, Coutton C, Bidart M. BRCA1 Intragenic Duplication Combined with a Likely Pathogenic TP53 Variant in a Patient with Triple-Negative Breast Cancer: Clinical Risk and Management. Int J Mol Sci 2024; 25:6274. [PMID: 38892462 PMCID: PMC11173113 DOI: 10.3390/ijms25116274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 05/29/2024] [Accepted: 05/30/2024] [Indexed: 06/21/2024] Open
Abstract
For patients with hereditary breast and ovarian cancer, the probability of carrying two pathogenic variants (PVs) in dominant cancer-predisposing genes is rare. Using targeted next-generation sequencing (NGS), we investigated a 49-year-old Caucasian woman who developed a highly aggressive breast tumor. Our analyses identified an intragenic germline heterozygous duplication in BRCA1 with an additional likely PV in the TP53 gene. The BRCA1 variant was confirmed by multiplex ligation probe amplification (MLPA), and genomic breakpoints were characterized at the nucleotide level (c.135-2578_442-1104dup). mRNA extracted from lymphocytes was amplified by RT-PCR and then Sanger sequenced, revealing a tandem duplication r.135_441dup; p.(Gln148Ilefs*20). This duplication results in the synthesis of a truncated and, most likely, nonfunctional protein. Following functional studies, the TP53 exon 5 c.472C > T; p.(Arg158Cys) missense variant was classified as likely pathogenic by the Li-Fraumeni Syndrome (LFS) working group. This type of unexpected association will be increasingly identified in the future, with the switch from targeted BRCA sequencing to hereditary breast and ovarian cancer (HBOC) panel sequencing, raising the question of how these patients should be managed. It is therefore important to record and investigate these rare double-heterozygous genotypes.
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Affiliation(s)
- Vuthy Ea
- UM Génétique Moléculaire: Maladies Héréditaires et Oncologie, University Hospital Grenoble Alpes, 38000 Grenoble, France;
- INSERM U1209, CNRS UMR 5309, Institute for Advanced Biosciences, Grenoble Alpes University, 38000 Grenoble, France; (G.M.); (C.C.)
| | - Claudine Berthozat
- Department of Medical Oncology, Cancer and Blood Diseases, Grenoble Alpes University Hospital, 38000 Grenoble, France;
| | - Hélène Dreyfus
- Genetic Service, Department of Genetics and Procreation, University Hospital Grenoble Alpes, 38000 Grenoble, France; (H.D.); (C.L.); (E.R.); (M.P.); (L.B.)
| | - Clémentine Legrand
- Genetic Service, Department of Genetics and Procreation, University Hospital Grenoble Alpes, 38000 Grenoble, France; (H.D.); (C.L.); (E.R.); (M.P.); (L.B.)
| | - Estelle Rousselet
- Genetic Service, Department of Genetics and Procreation, University Hospital Grenoble Alpes, 38000 Grenoble, France; (H.D.); (C.L.); (E.R.); (M.P.); (L.B.)
| | - Magalie Peysselon
- Genetic Service, Department of Genetics and Procreation, University Hospital Grenoble Alpes, 38000 Grenoble, France; (H.D.); (C.L.); (E.R.); (M.P.); (L.B.)
| | - Laura Baudet
- Genetic Service, Department of Genetics and Procreation, University Hospital Grenoble Alpes, 38000 Grenoble, France; (H.D.); (C.L.); (E.R.); (M.P.); (L.B.)
| | - Guillaume Martinez
- INSERM U1209, CNRS UMR 5309, Institute for Advanced Biosciences, Grenoble Alpes University, 38000 Grenoble, France; (G.M.); (C.C.)
- UM de Génétique Chromosomique, University Hospital Grenoble Alpes, 38000 Grenoble, France
| | - Charles Coutton
- INSERM U1209, CNRS UMR 5309, Institute for Advanced Biosciences, Grenoble Alpes University, 38000 Grenoble, France; (G.M.); (C.C.)
- UM de Génétique Chromosomique, University Hospital Grenoble Alpes, 38000 Grenoble, France
| | - Marie Bidart
- UM Génétique Moléculaire: Maladies Héréditaires et Oncologie, University Hospital Grenoble Alpes, 38000 Grenoble, France;
- INSERM U1209, CNRS UMR 5309, Institute for Advanced Biosciences, Grenoble Alpes University, 38000 Grenoble, France; (G.M.); (C.C.)
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13
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Arnon J, Zick A, Maoz M, Salaymeh N, Gugenheim A, Marouani M, Mor E, Hamburger T, Saadi N, Elia A, Ganz G, Fahham D, Meirovitz A, Kadouri L, Meiner V, Yablonski-Peretz T, Shkedi-Rafid S. Clinical and genetic characteristics of carriers of the TP53 c.541C > T, p.Arg181Cys pathogenic variant causing hereditary cancer in patients of Arab-Muslim descent. Fam Cancer 2024:10.1007/s10689-024-00391-2. [PMID: 38743206 DOI: 10.1007/s10689-024-00391-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 04/16/2024] [Indexed: 05/16/2024]
Abstract
TP53 pathogenic variants cause Li-Fraumeni syndrome (LFS), with some variants causing an attenuated phenotype. Herein, we describe the clinical phenotype and genetic characteristics of carriers of NM_000546.6 (TP53): c.541C > T, (p.Arg181Cys) treated at Hadassah Medical Center. We retrospectively examined our genetic databases to identify all carriers of TP53 p.Arg181Cys. We reached out to carriers and their relatives and collected clinical and demographic data, lifestyle factors, carcinogenic exposures as well as additional blood samples for genetic testing and whole exome sequencing. Between 2005 and 2022 a total of 2875 cancer patients underwent genetic testing using genetic panels, whole exome sequencing or targeted TP53 assays. A total of 30 cancer patients, all of Arab-Muslim descent, were found to be carriers of TP53 p.Arg181Cys, the majority from Jerusalem and Hebron, two of which were homozygous for the variant. Carriers were from 24 distinct families of them, 15 families (62.5%) met updated Chompret criteria for LFS. Median age of diagnosis was 35 years-old (range 1-69) with cancers characteristic of LFS (16 Breast cancer; 6 primary CNS tumors; 3 sarcomas) including 4 children with choroid plexus carcinoma, medulloblastoma, or glioblastoma. A total of 21 healthy carriers of TP53 p.Arg181Cys were identified at a median age of 39 years-old (range 2-54)-19 relatives and 2 additional pediatric non-cancer patients, in which the finding was incidental. We report a shared haplotype of 350kb among carriers, limited co-morbidities and low BMI in both cancer patients and healthy carriers. There were no demographic factors or carcinogenic exposures unique to carriers who developed malignancy. Upon exome analysis no other known pathogenic variants in cancer predisposing genes were identified. TP53 p.Arg181Cys is a founder pathogenic variant predominant to the Arab-Muslim population in Jerusalem and Hebron, causing attenuated-LFS. We suggest strict surveillance in established carriers and encourage referral to genetic testing for all cancer patients of Arab-Muslim descent in this region with LFS-associated malignancies as well as family members of established carriers.
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Affiliation(s)
- Johnathan Arnon
- Sharett Institute of Oncology, Hadassah University Medical Center, Jerusalem, Israel.
- Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
| | - Aviad Zick
- Sharett Institute of Oncology, Hadassah University Medical Center, Jerusalem, Israel
- Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Myriam Maoz
- Sharett Institute of Oncology, Hadassah University Medical Center, Jerusalem, Israel
| | - Nada Salaymeh
- Sharett Institute of Oncology, Hadassah University Medical Center, Jerusalem, Israel
| | - Ahinoam Gugenheim
- Sharett Institute of Oncology, Hadassah University Medical Center, Jerusalem, Israel
| | - MazalTov Marouani
- Sharett Institute of Oncology, Hadassah University Medical Center, Jerusalem, Israel
- Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Eden Mor
- Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Tamar Hamburger
- Sharett Institute of Oncology, Hadassah University Medical Center, Jerusalem, Israel
| | - Nagam Saadi
- Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Anna Elia
- Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
- Department of Pathology, Hadassah University Medical Center, Jerusalem, Israel
| | - Gael Ganz
- Department of Genetics, Hadassah University Medical Center, Jerusalem, Israel
| | - Duha Fahham
- Department of Genetics, Hadassah University Medical Center, Jerusalem, Israel
| | - Amichay Meirovitz
- Sharett Institute of Oncology, Hadassah University Medical Center, Jerusalem, Israel
- Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Luna Kadouri
- Sharett Institute of Oncology, Hadassah University Medical Center, Jerusalem, Israel
- Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Vardiella Meiner
- Department of Genetics, Hadassah University Medical Center, Jerusalem, Israel
- Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Tamar Yablonski-Peretz
- Sharett Institute of Oncology, Hadassah University Medical Center, Jerusalem, Israel
- Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Shiri Shkedi-Rafid
- Department of Genetics, Hadassah University Medical Center, Jerusalem, Israel
- Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
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14
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Allen S, Garrett A, Muffley L, Fayer S, Foreman J, Adams DJ, Hurles M, Rubin AF, Roth FP, Starita LM, Biesecker LG, Turnbull C. Workshop report: the clinical application of data from multiplex assays of variant effect (MAVEs), 12 July 2023. Eur J Hum Genet 2024; 32:593-600. [PMID: 38433264 PMCID: PMC11061192 DOI: 10.1038/s41431-024-01566-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 02/05/2024] [Accepted: 02/08/2024] [Indexed: 03/05/2024] Open
Affiliation(s)
- Sophie Allen
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
| | - Alice Garrett
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- St George's University Hospitals NHS Foundation Trust, Tooting, London, UK
| | - Lara Muffley
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Shawn Fayer
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Julia Foreman
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - David J Adams
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Matthew Hurles
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Alan F Rubin
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
- Department of Medical Biology, University of Melbourne, Melbourne, VIC, Australia
| | - Frederick P Roth
- Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Donnelly Centre and Departments of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
| | - Lea M Starita
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Leslie G Biesecker
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Clare Turnbull
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- The Royal Marsden NHS Foundation Trust, London, UK
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15
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Fortuno C, Michailidou K, Parsons M, Dolinsky JS, Pesaran T, Yussuf A, Mester JL, Hruska KS, Hiraki S, O’Connor R, Chan RC, Kim S, Tavtigian SV, Goldgar D, James PA, Spurdle AB. Challenges and approaches to calibrating patient phenotype as evidence for cancer gene variant classification under ACMG/AMP guidelines. Hum Mol Genet 2024; 33:724-732. [PMID: 38271184 PMCID: PMC11000651 DOI: 10.1093/hmg/ddae009] [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: 11/13/2023] [Revised: 01/09/2024] [Accepted: 01/10/2024] [Indexed: 01/27/2024] Open
Abstract
Since first publication of the American College of Medical Genetics and Genomics/Association for Medical Pathology (ACMG/AMP) variant classification guidelines, additional recommendations for application of certain criteria have been released (https://clinicalgenome.org/docs/), to improve their application in the diagnostic setting. However, none have addressed use of the PS4 and PP4 criteria, capturing patient presentation as evidence towards pathogenicity. Application of PS4 can be done through traditional case-control studies, or "proband counting" within or across clinical testing cohorts. Review of the existing PS4 and PP4 specifications for Hereditary Cancer Gene Variant Curation Expert Panels revealed substantial differences in the approach to defining specifications. Using BRCA1, BRCA2 and TP53 as exemplar genes, we calibrated different methods proposed for applying the "PS4 proband counting" criterion. For each approach, we considered limitations, non-independence with other ACMG/AMP criteria, broader applicability, and variability in results for different datasets. Our findings highlight inherent overlap of proband-counting methods with ACMG/AMP frequency codes, and the importance of calibration to derive dataset-specific code weights that can account for potential between-dataset differences in ascertainment and other factors. Our work emphasizes the advantages and generalizability of logistic regression analysis over simple proband-counting approaches to empirically determine the relative predictive capacity and weight of various personal clinical features in the context of multigene panel testing, for improved variant interpretation. We also provide a general protocol, including instructions for data formatting and a web-server for analysis of personal history parameters, to facilitate dataset-specific calibration analyses required to use such data for germline variant classification.
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Affiliation(s)
- Cristina Fortuno
- Population Health Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
| | - Kyriaki Michailidou
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia 2371, Cyprus
| | - Michael Parsons
- Population Health Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
| | | | - Tina Pesaran
- Ambry Genetics, Aliso Viejo, CA 92656, United States
| | - Amal Yussuf
- Ambry Genetics, Aliso Viejo, CA 92656, United States
| | | | | | | | | | - Raymond C Chan
- Color Genomics, Inc., Burlingame, CA 94010, United States
| | - Serra Kim
- Color Genomics, Inc., Burlingame, CA 94010, United States
| | - Sean V Tavtigian
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, United States
| | - David Goldgar
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, United States
| | - Paul A James
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC 3052, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC 3010, Australia
| | - Amanda B Spurdle
- Population Health Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
- Faculty of Medicine, The University of Queensland, Herston, QLD 4006, Australia
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16
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Boruah N, Hoyos D, Moses R, Hausler R, Desai H, Le AN, Good M, Kelly G, Raghavakaimal A, Tayeb M, Narasimhamurthy M, Doucette A, Gabriel P, Feldman MJ, Park J, de Rodas ML, Schalper KA, Goldfarb SB, Nayak A, Levine AJ, Greenbaum BD, Maxwell KN. Distinct genomic and immunologic tumor evolution in germline TP53-driven breast cancers. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.03.588009. [PMID: 38617260 PMCID: PMC11014613 DOI: 10.1101/2024.04.03.588009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Pathogenic germline TP53 alterations cause Li-Fraumeni Syndrome (LFS), and breast cancer is the most common cancer in LFS females. We performed first of its kind multimodal analysis of LFS breast cancer (LFS-BC) compared to sporadic premenopausal BC. Nearly all LFS-BC underwent biallelic loss of TP53 with no recurrent oncogenic variants except ERBB2 (HER2) amplification. Compared to sporadic BC, in situ and invasive LFS-BC exhibited a high burden of short amplified aneuploid segments (SAAS). Pro-apoptotic p53 target genes BAX and TP53I3 failed to be up-regulated in LFS-BC as was seen in sporadic BC compared to normal breast tissue. LFS-BC had lower CD8+ T-cell infiltration compared to sporadic BC yet higher levels of proliferating cytotoxic T-cells. Within LFS-BC, progression from in situ to invasive BC was marked by an increase in chromosomal instability with a decrease in proliferating cytotoxic T-cells. Our study uncovers critical events in mutant p53-driven tumorigenesis in breast tissue.
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Affiliation(s)
- Nabamita Boruah
- Department of Medicine, Division of Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - David Hoyos
- Computational Oncology, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Renyta Moses
- Department of Medicine, Division of Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Ryan Hausler
- Department of Medicine, Division of Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Heena Desai
- Department of Medicine, Division of Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Anh N Le
- Department of Medicine, Division of Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Madeline Good
- Department of Medicine, Division of Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Gregory Kelly
- Department of Medicine, Division of Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Ashvathi Raghavakaimal
- Department of Medicine, Division of Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Maliha Tayeb
- Department of Medicine, Division of Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Mohana Narasimhamurthy
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia PA
| | - Abigail Doucette
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Peter Gabriel
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Michael J. Feldman
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia PA
| | - Jinae Park
- Departments of Medicine and Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | - Shari B. Goldfarb
- Departments of Medicine and Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical Center, New York, NY
| | - Anupma Nayak
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia PA
| | | | - Benjamin D. Greenbaum
- Computational Oncology, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Physiology, Biophysics & Systems Biology, Weill Cornell Medical Center, New York, NY:
| | - Kara N. Maxwell
- Department of Medicine, Division of Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Corporal Michael Crescenz Veterans Affairs Medical Center, Philadelphia, PA
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17
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Tesi B, Robinson KL, Abel F, Díaz de Ståhl T, Orrsjö S, Poluha A, Hellberg M, Wessman S, Samuelsson S, Frisk T, Vogt H, Henning K, Sabel M, Ek T, Pal N, Nyman P, Giraud G, Wille J, Pronk CJ, Norén-Nyström U, Borssén M, Fili M, Stålhammar G, Herold N, Tettamanti G, Maya-Gonzalez C, Arvidsson L, Rosén A, Ekholm K, Kuchinskaya E, Hallbeck AL, Nordling M, Palmebäck P, Kogner P, Smoler GK, Lähteenmäki P, Fransson S, Martinsson T, Shamik A, Mertens F, Rosenquist R, Wirta V, Tham E, Grillner P, Sandgren J, Ljungman G, Gisselsson D, Taylan F, Nordgren A. Diagnostic yield and clinical impact of germline sequencing in children with CNS and extracranial solid tumors-a nationwide, prospective Swedish study. THE LANCET REGIONAL HEALTH. EUROPE 2024; 39:100881. [PMID: 38803632 PMCID: PMC11129334 DOI: 10.1016/j.lanepe.2024.100881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 02/04/2024] [Accepted: 02/23/2024] [Indexed: 05/29/2024]
Abstract
Background Childhood cancer predisposition (ChiCaP) syndromes are increasingly recognized as contributing factors to childhood cancer development. Yet, due to variable availability of germline testing, many children with ChiCaP might go undetected today. We report results from the nationwide and prospective ChiCaP study that investigated diagnostic yield and clinical impact of integrating germline whole-genome sequencing (gWGS) with tumor sequencing and systematic phenotyping in children with solid tumors. Methods gWGS was performed in 309 children at diagnosis of CNS (n = 123, 40%) or extracranial (n = 186, 60%) solid tumors and analyzed for disease-causing variants in 189 known cancer predisposing genes. Tumor sequencing data were available for 74% (227/309) of patients. In addition, a standardized clinical assessment for underlying predisposition was performed in 95% (293/309) of patients. Findings The prevalence of ChiCaP diagnoses was 11% (35/309), of which 69% (24/35) were unknown at inclusion (diagnostic yield 8%, 24/298). A second-hit and/or relevant mutational signature was observed in 19/21 (90%) tumors with informative data. ChiCaP diagnoses were more prevalent among patients with retinoblastomas (50%, 6/12) and high-grade astrocytomas (37%, 6/16), and in those with non-cancer related features (23%, 20/88), and ≥2 positive ChiCaP criteria (28%, 22/79). ChiCaP diagnoses were autosomal dominant in 80% (28/35) of patients, yet confirmed de novo in 64% (18/28). The 35 ChiCaP findings resulted in tailored surveillance (86%, 30/35) and treatment recommendations (31%, 11/35). Interpretation Overall, our results demonstrate that systematic phenotyping, combined with genomics-based diagnostics of ChiCaP in children with solid tumors is feasible in large-scale clinical practice and critically guides personalized care in a sizable proportion of patients. Funding The study was supported by the Swedish Childhood Cancer Fund and the Ministry of Health and Social Affairs.
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Affiliation(s)
- Bianca Tesi
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics and Genomics, Karolinska University Hospital, Solna, Sweden
- Department of Medicine, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Kristina Lagerstedt Robinson
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics and Genomics, Karolinska University Hospital, Solna, Sweden
| | - Frida Abel
- Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Teresita Díaz de Ståhl
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
- Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Sara Orrsjö
- Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anna Poluha
- Clinical Genetics, Uppsala University Hospital, Uppsala, Sweden
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Maria Hellberg
- Department of Clinical Genetics, Pathology and Molecular Diagnostics, Office of Medical Services, Region Skåne, Lund, Sweden
| | - Sandra Wessman
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
- Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Sofie Samuelsson
- Department of Clinical Genetics, Pathology and Molecular Diagnostics, Office of Medical Services, Region Skåne, Lund, Sweden
| | - Tony Frisk
- Department of Pediatric Hematology and Oncology, Karolinska University Hospital, Stockholm, Sweden
- Childhood Cancer Research Unit, Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden
| | - Hartmut Vogt
- Crown Princess Victoria Children’s Hospital, and Division of Children’s and Women’s Health, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Karin Henning
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Pediatric Hematology and Oncology, Karolinska University Hospital, Stockholm, Sweden
| | - Magnus Sabel
- Department of Pediatrics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Sweden
- Queen Silvia Children’s Hospital, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Torben Ek
- Department of Pediatrics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Sweden
- Queen Silvia Children’s Hospital, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Niklas Pal
- Department of Pediatric Hematology and Oncology, Karolinska University Hospital, Stockholm, Sweden
| | - Per Nyman
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Centre for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Geraldine Giraud
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
- Pediatric Oncology, Uppsala University Children’s Hospital, Uppsala, Sweden
- Department of Women’s and Children’s Health, Uppsala University, Sweden
| | - Joakim Wille
- Childhood Cancer Center, Skåne University Hospital, Lund, Sweden
| | - Cornelis Jan Pronk
- Childhood Cancer Center, Skåne University Hospital, Lund, Sweden
- Division of Molecular Hematology/Wallenberg Center for Molecular Medicine, Lund University, Sweden
| | | | - Magnus Borssén
- Department of Clinical Sciences, Pediatrics, Umeå University, Umeå, Sweden
| | - Maria Fili
- Division of Eye and Vision, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- St. Erik Eye Hospital, Stockholm, Sweden
| | - Gustav Stålhammar
- Division of Eye and Vision, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- St. Erik Eye Hospital, Stockholm, Sweden
| | - Nikolas Herold
- Department of Pediatric Hematology and Oncology, Karolinska University Hospital, Stockholm, Sweden
- Childhood Cancer Research Unit, Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden
| | - Giorgio Tettamanti
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Linda Arvidsson
- Department of Clinical Genetics, Pathology and Molecular Diagnostics, Office of Medical Services, Region Skåne, Lund, Sweden
| | - Anna Rosén
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Katja Ekholm
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics and Genomics, Karolinska University Hospital, Solna, Sweden
| | | | - Anna-Lotta Hallbeck
- Department of Clinical Genetics, Linköping University Hospital, Linköping, Sweden
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Margareta Nordling
- Department of Clinical Genetics, Linköping University Hospital, Linköping, Sweden
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Pia Palmebäck
- Department of Clinical Genetics, Linköping University Hospital, Linköping, Sweden
| | - Per Kogner
- Department of Pediatric Hematology and Oncology, Karolinska University Hospital, Stockholm, Sweden
- Childhood Cancer Research Unit, Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden
| | - Gunilla Kanter Smoler
- Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Päivi Lähteenmäki
- Childhood Cancer Research Unit, Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden
| | - Susanne Fransson
- Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Tommy Martinsson
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Alia Shamik
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
- Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Fredrik Mertens
- Department of Clinical Genetics, Pathology and Molecular Diagnostics, Office of Medical Services, Region Skåne, Lund, Sweden
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics and Genomics, Karolinska University Hospital, Solna, Sweden
- Genomic Medicine Center Karolinska, Karolinska University Hospital, Stockholm, Sweden
| | - Valtteri Wirta
- Genomic Medicine Center Karolinska, Karolinska University Hospital, Stockholm, Sweden
- Science for Life Laboratory, Department of Microbiology, Tumour and Cell Biology, Karolinska Institutet, Stockholm, Sweden
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institutet of Technology, Stockholm, Sweden
| | - Emma Tham
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics and Genomics, Karolinska University Hospital, Solna, Sweden
| | - Pernilla Grillner
- Department of Pediatric Hematology and Oncology, Karolinska University Hospital, Stockholm, Sweden
- Childhood Cancer Research Unit, Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden
| | - Johanna Sandgren
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
- Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Gustaf Ljungman
- Pediatric Oncology, Uppsala University Children’s Hospital, Uppsala, Sweden
- Department of Women’s and Children’s Health, Uppsala University, Sweden
| | - David Gisselsson
- Department of Clinical Genetics, Pathology and Molecular Diagnostics, Office of Medical Services, Region Skåne, Lund, Sweden
| | - Fulya Taylan
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics and Genomics, Karolinska University Hospital, Solna, Sweden
| | - Ann Nordgren
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics and Genomics, Karolinska University Hospital, Solna, Sweden
- Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Genomic Medicine Center Karolinska, Karolinska University Hospital, Stockholm, Sweden
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18
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Hwang SM. Genomic testing for germline predisposition to hematologic malignancies. Blood Res 2024; 59:12. [PMID: 38485837 PMCID: PMC10923764 DOI: 10.1007/s44313-024-00012-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 02/27/2024] [Indexed: 03/18/2024] Open
Abstract
Germline predisposition (GPD) to hematological malignancies has gained interest because of the increased use of genetic testing in this field. Recent studies have suggested that GPD is underrecognized and requires appropriate genomic testing for an accurate diagnosis. Identification of GPD significantly affects patient management and has diverse implications for family members. This review discusses the reasons for testing GPD in hematologic malignancies and explores the considerations necessary for appropriate genomic testing. The aim is to provide insights into how these genetic insights can inform treatment strategies and genetic counseling, ultimately enhancing patient care.
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Affiliation(s)
- Sang Mee Hwang
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Gumiro 173 Beongil-82, Bundanggu, Seongnam, Gyeonggido, 13620, South Korea.
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19
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Kast K, Rhiem K, Larsen M, Wappenschmidt B, Schmutzler R. Phenotype analysis of families with TP53 germline variants at the Center for Familial Breast and Ovarian Cancer, Cologne. Cancer Med 2024; 13:e6920. [PMID: 38230850 PMCID: PMC10905677 DOI: 10.1002/cam4.6920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 12/07/2023] [Accepted: 12/31/2023] [Indexed: 01/18/2024] Open
Abstract
PURPOSE Tumor protein p53 (TP53) pathogenic variant (PV) carriers are identified during genetic testing for hereditary causes of cancer. PVs in TP53 are associated with the Li-Fraumeni syndrome (LFS), and thus, surveillance and preventive measures are important for TP53 PV carriers. However, the penetrance of TP53 PVs can be low if the Chompret criteria are not fulfilled. In this study, we compared the phenotypic characteristics of families that did and did not fulfill the LFS criteria according to Chompret. METHODS The German Consortium for Hereditary Breast and Ovarian Cancer (GC-HBOC) database was used to identify index patients with a likely pathogenic/pathogenic TP53 variant and their family members. The study investigated the type of variant, pedigree, age of onset, number of primary tumors, and histological type of BC. RESULTS TP53 PV were present in the index cases of 35 families, 57% (20/35) of which fulfilled the Chompret criteria. The median age of onset at first BC diagnosis was lower in families that fulfilled the Chompret criteria compared to those who did not. Four of all diseased individuals were minors (4%; 4/105) when malignancy was first diagnosed. Sarcomas and brain tumors occurred in 10% (10/105) and in 7% (7/105) of all diseased persons, respectively. BC was the most frequently occurring first tumor (60%; 62/105) and additional malignancy (45%; 20/44) in this cohort. Subsequent malignancies developed in 31% (20/65) of the individuals who fulfilled the Chompret criteria compared with 15% (6/40) of those who did not. CONCLUSION The tumor spectrum and age of onset found in this study showed that tumors other than BC had low disease penetrance in TP53 PV carriers identified using the GC-HBOC criteria for genetic testing.
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Affiliation(s)
- K. Kast
- Center for Hereditary Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical FacultyUniversity Hospital CologneCologneGermany
| | - K. Rhiem
- Center for Hereditary Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical FacultyUniversity Hospital CologneCologneGermany
| | - M. Larsen
- Center for Hereditary Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical FacultyUniversity Hospital CologneCologneGermany
| | - B. Wappenschmidt
- Center for Hereditary Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical FacultyUniversity Hospital CologneCologneGermany
| | - R. Schmutzler
- Center for Hereditary Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical FacultyUniversity Hospital CologneCologneGermany
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20
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Wang X, Li H, Luo H, Zou Y, Li H, Qin Y, Song J. Evaluating ClinGen variant curation expert panels' application of PVS1 code. Eur J Med Genet 2024; 67:104909. [PMID: 38199457 DOI: 10.1016/j.ejmg.2024.104909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 08/02/2023] [Accepted: 01/07/2024] [Indexed: 01/12/2024]
Abstract
BACKGROUND The 2015 American College of Medical Genetics and Genomics (ACMG) and Association for Molecular Pathology (AMP) guidelines articulates that the effects of certain types of variants on gene function can often be seen as a complete absence of the gene product by leading to a lack of transcription or nonsense-mediated decay(NMD). However, detailed information considering different types of loss of function(LOF) variants, refined steps assimilating details concerning location of variant, changes in strength levels, NMD boundary, or any additional information pointing to a true null effect, were all left to expert judgement. As part of its Clinical Genome Resource (ClinGen) initiative, Variant Curation Expert Panels (VCEPs) are designated to make gene/disease-centric specifications in accordance with the ACMG/AMP guidelines, including a more detailed definition of what constitutes an appropriate LOF evidence. Our goal was to evaluate the current LOF guidelines developed by the VCEPs and analyse the prior curated variants concerning the PVS1 criteria, bringing people occupied in genetic data analysis a comprehensive understanding of this code. METHODS Our study evaluated 7 VCEPs for their LOF criteria (PVS1). Subsequently, we assessed the predictive criteria by considering the underlying disease mechanism, protein transcript, and variant types delineated. Then, we meticulously curated the LOF evidence referenced by each VCEP in their preliminary variant classification, thereby scrutinizing the recommendations put forth by VCEPs and their application in the interpretation of the aforementioned predictive criteria. Based on these, an extensive curation of evidence summary considering PVS1 applied by VCEPs according to their classification of pilot variants for the purpose of analyzing VCEP criteria specifications and their use in the understanding of LOF was conducted. RESULTS We observed in this article that the VCEPs discussed followed the majority of Sequence Variant Interpretation (SVI) recommendations concerning the application of this LOF criteria, except for some disease/gene specific considerations. We highlighted the wide range of PVS1 strength levels approved by VCEP, reflecting the diversity of evidence for each variants type. In addition, we observed substantial differences in the approach used to determine relative strengths for different types of null variants and in the attitude towards these principles concerning variant location, NMD and influence to protein function between VCEPs. CONCLUSIONS It is difficult to understand the intricacies of the predictive data(PVS1), which often requires expert-level knowledge of disease/gene. The VCEP criteria specifications for the predictive evidence play an important role in making it more accessible for the curators to apply the predictive data by providing details concerning this complex criteria. Despite this, we believe there is a need for more guidance on standardizing this process and ensuring consistency in the application of this predictive evidence.
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Affiliation(s)
- Xiaoyan Wang
- Medical Genetics Center, Maternal and Child Health Hospital of Hubei Province, Wuhan, Hubei, China
| | - Haibo Li
- The Central Laboratory of Birth Defects Prevention and Control, Ningbo Women and Children's Hospital, 339 Liuting St, Ningbo City, Zhejiang Province, China
| | - Haiyan Luo
- Department of Medical Genetics, Jiangxi Maternal and Child Health Hospital, Nanchang, China
| | - Yongyi Zou
- Department of Medical Genetics, Jiangxi Maternal and Child Health Hospital, Nanchang, China
| | - Haoxian Li
- Center of Medical Genetics, Jiangmen Maternity and Child Health Care Hospital, Jiangmen, Guangdong, China
| | - Yayun Qin
- Medical Genetics Center, Maternal and Child Health Hospital of Hubei Province, Wuhan, Hubei, China
| | - Jieping Song
- Medical Genetics Center, Maternal and Child Health Hospital of Hubei Province, Wuhan, Hubei, China.
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21
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Fortuno C, Feng BJ, Carroll C, Innella G, Kohlmann W, Lázaro C, Brunet J, Feliubadaló L, Iglesias S, Menéndez M, Teulé A, Ballinger ML, Thomas DM, Campbell A, Field M, Harris M, Kirk J, Pachter N, Poplawski N, Susman R, Tucker K, Wallis M, Williams R, Cops E, Goldgar D, James PA, Spurdle AB. Cancer Risks Associated With TP53 Pathogenic Variants: Maximum Likelihood Analysis of Extended Pedigrees for Diagnosis of First Cancers Beyond the Li-Fraumeni Syndrome Spectrum. JCO Precis Oncol 2024; 8:e2300453. [PMID: 38412388 PMCID: PMC10914239 DOI: 10.1200/po.23.00453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 11/23/2023] [Accepted: 12/21/2023] [Indexed: 02/29/2024] Open
Abstract
PURPOSE Establishing accurate age-related penetrance figures for the broad range of cancer types that occur in individuals harboring a pathogenic germline variant in the TP53 gene is essential to determine the most effective clinical management strategies. These figures also permit optimal use of cosegregation data for classification of TP53 variants of unknown significance. Penetrance estimation can easily be affected by bias from ascertainment criteria, an issue not commonly addressed by previous studies. MATERIALS AND METHODS We performed a maximum likelihood penetrance estimation using full pedigree data from a multicenter study of 146 TP53-positive families, incorporating adjustment for the effect of ascertainment and population-specific background cancer risks. The analysis included pedigrees from Australia, Spain, and United States, with phenotypic information for 4,028 individuals. RESULTS Core Li-Fraumeni syndrome (LFS) cancers (breast cancer, adrenocortical carcinoma, brain cancer, osteosarcoma, and soft tissue sarcoma) had the highest hazard ratios of all cancers analyzed in this study. The analysis also detected a significantly increased lifetime risk for a range of cancers not previously formally associated with TP53 pathogenic variant status, including colorectal, gastric, lung, pancreatic, and ovarian cancers. The cumulative risk of any cancer type by age 50 years was 92.4% (95% CI, 82.2 to 98.3) for females and 59.7% (95% CI, 39.9 to 81.3) for males. Females had a 63.3% (95% CI, 35.6 to 90.1) cumulative risk of developing breast cancer by age 50 years. CONCLUSION The results from maximum likelihood analysis confirm the known high lifetime risk for the core LFS-associated cancer types providing new risk estimates and indicate significantly increased lifetime risks for several additional cancer types. Accurate cancer risk estimates will help refine clinical recommendations for TP53 pathogenic variant carriers and improve TP53 variant classification.
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Affiliation(s)
- Cristina Fortuno
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Bing-Jian Feng
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Courtney Carroll
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Giovanni Innella
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Wendy Kohlmann
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Conxi Lázaro
- Hereditary Cancer Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Hereditary Cancer Program, ONCOBELL, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto Salud Carlos III, Madrid, Spain
| | - Joan Brunet
- Hereditary Cancer Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Hereditary Cancer Program, ONCOBELL, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto Salud Carlos III, Madrid, Spain
- Precision Oncology in Girona, IDIBGI, Girona, Spain
| | - Lidia Feliubadaló
- Hereditary Cancer Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Hereditary Cancer Program, ONCOBELL, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto Salud Carlos III, Madrid, Spain
| | - Silvia Iglesias
- Hereditary Cancer Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Mireia Menéndez
- Hereditary Cancer Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Alex Teulé
- Hereditary Cancer Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Hereditary Cancer Program, ONCOBELL, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Mandy L. Ballinger
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, New South Wales, Australia
- Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
| | - David M. Thomas
- Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
- Centre for Molecular Oncology, Faculty of Medicine, University of New South Wales, New South Wales, Australia
| | - Ainsley Campbell
- Department of Clinical Genetics, Austin Health, Melbourne, Victoria, Australia
| | - Mike Field
- Familial Cancer Service, Royal North Shore Hospital, St Leonards, New South Wales, Australia
| | - Marion Harris
- Monash Health Familial Cancer Service, Melbourne, Victoria, Australia
| | - Judy Kirk
- Familial Cancer Service, Crown Princess Mary Cancer Centre, Westmead Hospital, Westmead, New South Wales, Australia
| | - Nicholas Pachter
- Genetic Services of Western Australia, King Edward Memorial Hospital, Perth, Western Australia, Australia
| | - Nicola Poplawski
- Adult Genetics Unit, Royal Adelaide Hospital, Adelaide, South Australia, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Rachel Susman
- Genetic Health Queensland, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
| | - Kathy Tucker
- Hereditary Cancer Clinic, Prince of Wales Hospital, Randwick, New South Wales, Australia
- Prince of Wales Clinical School, UNSW Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia
| | - Mathew Wallis
- Tasmanian Clinical Genetics Service, Tasmanian Health Service, Royal Hobart Hospital, Hobart, Tasmania, Australia
- School of Medicine and Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Rachel Williams
- Prince of Wales Clinical School, UNSW Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia
- Prince of Wales Hereditary Cancer Centre, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - Elisa Cops
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - David Goldgar
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - kConFab Investigators
- kConFab, Research Department, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Paul A. James
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Amanda B. Spurdle
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
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22
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Shah SM, Demidova EV, Ringenbach S, Faezov B, Andrake M, Gandhi A, Mur P, Viana-Errasti J, Xiu J, Swensen J, Valle L, Dunbrack RL, Hall MJ, Arora S. Exploring Co-occurring POLE Exonuclease and Non-exonuclease Domain Mutations and Their Impact on Tumor Mutagenicity. CANCER RESEARCH COMMUNICATIONS 2024; 4:213-225. [PMID: 38282550 PMCID: PMC10812383 DOI: 10.1158/2767-9764.crc-23-0312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 10/05/2023] [Accepted: 01/02/2024] [Indexed: 01/13/2024]
Abstract
POLE driver mutations in the exonuclease domain (ExoD driver) are prevalent in several cancers, including colorectal cancer and endometrial cancer, leading to dramatically ultra-high tumor mutation burden (TMB). To understand whether POLE mutations that are not classified as drivers (POLE Variant) contribute to mutagenesis, we assessed TMB in 447 POLE-mutated colorectal cancers, endometrial cancers, and ovarian cancers classified as TMB-high ≥10 mutations/Mb (mut/Mb) or TMB-low <10 mut/Mb. TMB was significantly highest in tumors with "POLE ExoD driver plus POLE Variant" (colorectal cancer and endometrial cancer, P < 0.001; ovarian cancer, P < 0.05). TMB increased with additional POLE variants (P < 0.001), but plateaued at 2, suggesting an association between the presence of these variants and TMB. Integrated analysis of AlphaFold2 POLE models and quantitative stability estimates predicted the impact of multiple POLE variants on POLE functionality. The prevalence of immunogenic neoepitopes was notably higher in the "POLE ExoD driver plus POLE Variant" tumors. Overall, this study reveals a novel correlation between POLE variants in POLE ExoD-driven tumors, and ultra-high TMB. Currently, only select pathogenic ExoD mutations with a reliable association with ultra-high TMB inform clinical practice. Thus, these findings are hypothesis-generating, require functional validation, and could potentially inform tumor classification, treatment responses, and clinical outcomes. SIGNIFICANCE Somatic POLE ExoD driver mutations cause proofreading deficiency that induces high TMB. This study suggests a novel modifier role for POLE variants in POLE ExoD-driven tumors, associated with ultra-high TMB. These data, in addition to future functional studies, may inform tumor classification, therapeutic response, and patient outcomes.
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Affiliation(s)
- Shreya M. Shah
- Cancer Prevention and Control Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania
- Science Scholars Program, Temple University, Philadelphia, Pennsylvania
| | - Elena V. Demidova
- Cancer Prevention and Control Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russian Federation
| | - Salena Ringenbach
- Cancer Prevention and Control Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania
- Lewis Katz School of Medicine, Temple University, Bethlehem, Pennsylvania
| | - Bulat Faezov
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russian Federation
- Program in Cancer Signaling and Microenvironment, Fox Chase Cancer Center, Philadelphia, Pennsylvania
| | - Mark Andrake
- Program in Cancer Signaling and Microenvironment, Fox Chase Cancer Center, Philadelphia, Pennsylvania
| | - Arjun Gandhi
- Cancer Prevention and Control Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania
- University College Dublin School of Medicine and Medical Science, Dublin, Ireland
| | - Pilar Mur
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | - Julen Viana-Errasti
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | | | | | - Laura Valle
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | - Roland L. Dunbrack
- Program in Cancer Signaling and Microenvironment, Fox Chase Cancer Center, Philadelphia, Pennsylvania
| | - Michael J. Hall
- Cancer Prevention and Control Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, Pennsylvania
| | - Sanjeevani Arora
- Cancer Prevention and Control Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania
- Department of Radiation Oncology, Fox Chase Cancer Center, Philadelphia, Pennsylvania
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23
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de Andrade KC, Strande NT, Kim J, Haley JS, Hatton JN, Frone MN, Khincha PP, Thone GM, Mirshahi UL, Schneider C, Desai H, Dove JT, Smelser DT, Levine AJ, Maxwell KN, Stewart DR, Carey DJ, Savage SA. Genome-first approach of the prevalence and cancer phenotypes of pathogenic or likely pathogenic germline TP53 variants. HGG ADVANCES 2024; 5:100242. [PMID: 37777824 PMCID: PMC10589747 DOI: 10.1016/j.xhgg.2023.100242] [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: 07/26/2023] [Revised: 09/20/2023] [Accepted: 09/20/2023] [Indexed: 10/02/2023] Open
Abstract
Pathogenic or likely pathogenic (P/LP) germline TP53 variants are the primary cause of Li-Fraumeni syndrome (LFS), a hereditary cancer predisposition disorder characterized by early-onset cancers. The population prevalence of P/LP germline TP53 variants is estimated to be approximately one in every 3,500 to 20,000 individuals. However, these estimates are likely impacted by ascertainment biases and lack of clinical and genetic data to account for potential confounding factors, such as clonal hematopoiesis. Genome-first approaches of cohorts linked to phenotype data can further refine these estimates by identifying individuals with variants of interest and then assessing their phenotypes. This study evaluated P/LP germline (variant allele fraction ≥30%) TP53 variants in three cohorts: UK Biobank (UKB, n = 200,590), Geisinger (n = 170,503), and Penn Medicine Biobank (PMBB, n = 43,731). A total of 109 individuals were identified with P/LP germline TP53 variants across the three databases. The TP53 p.R181H variant was the most frequently identified (9 of 109 individuals, 8%). A total of 110 cancers, including 47 hematologic cancers (47 of 110, 43%), were reported in 71 individuals. The prevalence of P/LP germline TP53 variants was conservatively estimated as 1:10,439 in UKB, 1:3,790 in Geisinger, and 1:2,983 in PMBB. These estimates were calculated after excluding related individuals and accounting for the potential impact of clonal hematopoiesis by excluding heterozygotes who ever developed a hematologic cancer. These varying estimates likely reflect intrinsic selection biases of each database, such as healthcare or population-based contexts. Prospective studies of diverse, young cohorts are required to better understand the population prevalence of germline TP53 variants and their associated cancer penetrance.
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Affiliation(s)
- Kelvin C de Andrade
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Natasha T Strande
- Department of Genomic Health, Geisinger Clinic, Geisinger, Danville, PA, USA
| | - Jung Kim
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jeremy S Haley
- Department of Genomic Health, Geisinger Clinic, Geisinger, Danville, PA, USA
| | - Jessica N Hatton
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Megan N Frone
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Payal P Khincha
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gretchen M Thone
- Department of Genomic Health, Geisinger Clinic, Geisinger, Danville, PA, USA
| | - Uyenlinh L Mirshahi
- Department of Genomic Health, Geisinger Clinic, Geisinger, Danville, PA, USA
| | - Cynthia Schneider
- Division of Hematology/Oncology, Department of Medicine and Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Heena Desai
- Division of Hematology/Oncology, Department of Medicine and Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - James T Dove
- Department of Genomic Health, Geisinger Clinic, Geisinger, Danville, PA, USA
| | - Diane T Smelser
- Department of Genomic Health, Geisinger Clinic, Geisinger, Danville, PA, USA
| | - Arnold J Levine
- Simons Center for Systems Biology, Institute for Advanced Study, Princeton, NJ, USA
| | - Kara N Maxwell
- Division of Hematology/Oncology, Department of Medicine and Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Douglas R Stewart
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - David J Carey
- Department of Genomic Health, Geisinger Clinic, Geisinger, Danville, PA, USA
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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Christowitz C, Olivier DW, Schneider JW, Kotze MJ, Engelbrecht AM. Incorporating functional genomics into the pathology-supported genetic testing framework implemented in South Africa: A future view of precision medicine for breast carcinomas. MUTATION RESEARCH. REVIEWS IN MUTATION RESEARCH 2024; 793:108492. [PMID: 38631437 DOI: 10.1016/j.mrrev.2024.108492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 02/25/2024] [Accepted: 04/11/2024] [Indexed: 04/19/2024]
Abstract
A pathology-supported genetic testing (PSGT) framework was established in South Africa to improve access to precision medicine for patients with breast carcinomas. Nevertheless, the frequent identification of variants of uncertain significance (VUSs) with the use of genome-scale next-generation sequencing has created a bottleneck in the return of results to patients. This review highlights the importance of incorporating functional genomics into the PSGT framework as a proposed initiative. Here, we explore various model systems and experimental methods available for conducting functional studies in South Africa to enhance both variant classification and clinical interpretation. We emphasize the distinct advantages of using in vitro, in vivo, and translational ex vivo models to improve the effectiveness of precision oncology. Moreover, we highlight the relevance of methodologies such as protein modelling and structural bioinformatics, multi-omics, metabolic activity assays, flow cytometry, cell migration and invasion assays, tube-formation assays, multiplex assays of variant effect, and database mining and machine learning models. The selection of the appropriate experimental approach largely depends on the molecular mechanism of the gene under investigation and the predicted functional effect of the VUS. However, before making final decisions regarding the pathogenicity of VUSs, it is essential to assess the functional evidence and clinical outcomes under current variant interpretation guidelines. The inclusion of a functional genomics infrastructure within the PSGT framework will significantly advance the reclassification of VUSs and enhance the precision medicine pipeline for patients with breast carcinomas in South Africa.
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Affiliation(s)
- Claudia Christowitz
- Department of Physiological Sciences, Faculty of Science, Stellenbosch University, Stellenbosch 7600, South Africa.
| | - Daniel W Olivier
- Department of Physiological Sciences, Faculty of Science, Stellenbosch University, Stellenbosch 7600, South Africa; Division of Chemical Pathology, Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 7505, South Africa
| | - Johann W Schneider
- Division of Anatomical Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 7505, South Africa; National Health Laboratory Service, Tygerberg Hospital, Cape Town 7505, South Africa
| | - Maritha J Kotze
- Division of Chemical Pathology, Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 7505, South Africa; National Health Laboratory Service, Tygerberg Hospital, Cape Town 7505, South Africa
| | - Anna-Mart Engelbrecht
- Department of Physiological Sciences, Faculty of Science, Stellenbosch University, Stellenbosch 7600, South Africa; Department of Global Health, African Cancer Institute, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 7505, South Africa
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25
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Liu S, Zhong M, Huang Y, Zhang Q, Chen T, Xu X, Peng W, Wang X, Feng X, Kang L, Lu Y, Cheng J, Bu F, Yuan H. Quantitative thresholds for variant enrichment in 13,845 cases: improving pathogenicity classification in genetic hearing loss. Genome Med 2023; 15:116. [PMID: 38111038 PMCID: PMC10726519 DOI: 10.1186/s13073-023-01271-7] [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: 07/21/2023] [Accepted: 12/06/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND The American College of Medical Genetics and Genomics (ACMG)/Association for Molecular Pathology (AMP) guidelines recommend using variant enrichment among cases as "strong" evidence for pathogenicity per the PS4 criterion. However, quantitative support for PS4 thresholds from real-world Mendelian case-control cohorts is lacking. METHODS To address this gap, we evaluated and established PS4 thresholds using data from the Chinese Deafness Genetics Consortium. A total of 9,050 variants from 13,845 patients with hearing loss (HL) and 6,570 ancestry-matched controls were analyzed. Positive likelihood ratio and local positive likelihood ratio values were calculated to determine the thresholds corresponding to each strength of evidence across three variant subsets. RESULTS In subset 1, consisting of variants present in both cases and controls with an allele frequency (AF) in cases ≥ 0.0005, an odds ratio (OR) ≥ 6 achieved strong evidence, while OR ≥ 3 represented moderate evidence. For subset 2, which encompassed variants present in both cases and controls with a case AF < 0.0005, and subset 3, comprising variants found only in cases and absent from controls, we defined the PS4_Supporting threshold (OR > 2.27 or allele count ≥ 3) and the PS4_Moderate threshold (allele count ≥ 6), respectively. Reanalysis applying the adjusted PS4 criteria changed the classification of 15 variants and enabled diagnosis of an additional four patients. CONCLUSIONS Our study quantified evidence strength thresholds for variant enrichment in genetic HL cases, highlighting the importance of defining disease/gene-specific thresholds to improve the precision and accuracy of clinical genetic testing.
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Affiliation(s)
- Sihan Liu
- Department of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, 610000, China
- Institute of Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610000, China
| | - Mingjun Zhong
- Institute of Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610000, China
| | - Yu Huang
- Institute of Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610000, China
| | - Qian Zhang
- Institute of Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610000, China
| | - Ting Chen
- Institute of Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610000, China
| | - Xiaofei Xu
- Institute of Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610000, China
| | - Wan Peng
- Institute of Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610000, China
| | - Xiaolu Wang
- Institute of Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610000, China
| | - Xiaoshu Feng
- Institute of Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610000, China
| | - Lu Kang
- Institute of Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610000, China
| | - Yu Lu
- Institute of Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610000, China
| | - Jing Cheng
- Institute of Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610000, China
| | - Fengxiao Bu
- Department of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, 610000, China.
- Institute of Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610000, China.
| | - Huijun Yuan
- Department of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, 610000, China.
- Institute of Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610000, China.
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26
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Kolodziejczak AS, Guerrini-Rousseau L, Planchon JM, Ecker J, Selt F, Mynarek M, Obrecht D, Sill M, Autry RJ, Stutheit-Zhao E, Hirsch S, Amouyal E, Dufour C, Ayrault O, Torrejon J, Waszak SM, Ramaswamy V, Pentikainen V, Demir HA, Clifford SC, Schwalbe EC, Massimi L, Snuderl M, Galbraith K, Karajannis MA, Hill K, Li BK, Walsh M, White CL, Redmond S, Loizos L, Jakob M, Kordes UR, Schmid I, Hauer J, Blattmann C, Filippidou M, Piccolo G, Scheurlen W, Farrag A, Grund K, Sutter C, Pietsch T, Frank S, Schewe DM, Malkin D, Ben-Arush M, Sehested A, Wong TT, Wu KS, Liu YL, Carceller F, Mueller S, Stoller S, Taylor MD, Tabori U, Bouffet E, Kool M, Sahm F, von Deimling A, Korshunov A, von Hoff K, Kratz CP, Sturm D, Jones DTW, Rutkowski S, van Tilburg CM, Witt O, Bougeard G, Pajtler KW, Pfister SM, Bourdeaut F, Milde T. Clinical outcome of pediatric medulloblastoma patients with Li-Fraumeni syndrome. Neuro Oncol 2023; 25:2273-2286. [PMID: 37379234 PMCID: PMC10708940 DOI: 10.1093/neuonc/noad114] [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: 02/25/2023] [Indexed: 06/30/2023] Open
Abstract
BACKGROUND The prognosis for Li-Fraumeni syndrome (LFS) patients with medulloblastoma (MB) is poor. Comprehensive clinical data for this patient group is lacking, challenging the development of novel therapeutic strategies. Here, we present clinical and molecular data on a retrospective cohort of pediatric LFS MB patients. METHODS In this multinational, multicenter retrospective cohort study, LFS patients under 21 years with MB and class 5 or class 4 constitutional TP53 variants were included. TP53 mutation status, methylation subgroup, treatment, progression free- (PFS) and overall survival (OS), recurrence patterns, and incidence of subsequent neoplasms were evaluated. RESULTS The study evaluated 47 LFS individuals diagnosed with MB, mainly classified as DNA methylation subgroup "SHH_3" (86%). The majority (74%) of constitutional TP53 variants represented missense variants. The 2- and 5-year (y-) PFS were 36% and 20%, and 2- and 5y-OS were 53% and 23%, respectively. Patients who received postoperative radiotherapy (RT) (2y-PFS: 44%, 2y-OS: 60%) or chemotherapy before RT (2y-PFS: 32%, 2y-OS: 48%) had significantly better clinical outcome then patients who were not treated with RT (2y-PFS: 0%, 2y-OS: 25%). Patients treated according to protocols including high-intensity chemotherapy and patients who received only maintenance-type chemotherapy showed similar outcomes (2y-PFS: 42% and 35%, 2y-OS: 68% and 53%, respectively). CONCLUSIONS LFS MB patients have a dismal prognosis. In the presented cohort use of RT significantly increased survival rates, whereas chemotherapy intensity did not influence their clinical outcome. Prospective collection of clinical data and development of novel treatments are required to improve the outcome of LFS MB patients.
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Affiliation(s)
- Anna S Kolodziejczak
- Hopp Children’s Cancer Center (KiTZ), Heidelberg, Germany
- CCU Pediatric Oncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Lea Guerrini-Rousseau
- Department of Children and Adolescents Oncology, Gustave Roussy, Université Paris-Saclay, 94805 Villejuif, France
- Molecular Predictors and New Targets in Oncology, Inserm U981 Team “Genomics and Oncogenesis of pediatric Brain Tumors,” Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Julien Masliah Planchon
- Department of Diagnostic and Theranostic Medicine, Somatic Genetics Unit, Institut Curie, Paris-Science Lettres University, Paris, France
| | - Jonas Ecker
- Hopp Children’s Cancer Center (KiTZ), Heidelberg, Germany
- CCU Pediatric Oncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Heidelberg, Germany
- Department of Pediatric Oncology, Hematology, Immunology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
| | - Florian Selt
- Hopp Children’s Cancer Center (KiTZ), Heidelberg, Germany
- CCU Pediatric Oncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Heidelberg, Germany
- Department of Pediatric Oncology, Hematology, Immunology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
| | - Martin Mynarek
- Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Mildred Scheel Cancer Career Center HaTriCS4, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Denise Obrecht
- Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Martin Sill
- Hopp Children’s Cancer Center (KiTZ), Heidelberg, Germany
- Pediatric Neurooncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Robert J Autry
- Hopp Children’s Cancer Center (KiTZ), Heidelberg, Germany
- Pediatric Neurooncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Eric Stutheit-Zhao
- Hopp Children’s Cancer Center (KiTZ), Heidelberg, Germany
- Pediatric Neurooncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany
- Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Steffen Hirsch
- Hopp Children’s Cancer Center (KiTZ), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Heidelberg, Germany
- Pediatric Neurooncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Elsa Amouyal
- SIREDO Pediatric Oncology Center, Institut Curie, Paris-Science Lettres University, Paris, France
| | - Christelle Dufour
- Department of Children and Adolescents Oncology, Gustave Roussy, Université Paris-Saclay, 94805 Villejuif, France
- Molecular Predictors and New Targets in Oncology, Inserm U981 Team “Genomics and Oncogenesis of pediatric Brain Tumors,” Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Olivier Ayrault
- Institut Curie, PSL Research University, CNRS UMR, INSERM, Orsay, France Université Paris Sud, Université Paris-Saclay, CNRS UMR 3347, INSERM U1021, Orsay, France
| | - Jacob Torrejon
- Institut Curie, PSL Research University, CNRS UMR, INSERM, Orsay, France Université Paris Sud, Université Paris-Saclay, CNRS UMR 3347, INSERM U1021, Orsay, France
| | - Sebastian M Waszak
- Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo and Oslo University Hospital, Oslo, Norway
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Vijay Ramaswamy
- Division of Neurosurgery, Program in Developmental and Stem Cell Biology, Arthur and Sonia Labatt Brain Tumour Research Centre, Hospital for Sick Children, Toronto, Ontario, Canada
- Division of Hematology and Oncology, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Virve Pentikainen
- Division of Hematology-Oncology and Stem Cell Transplantation, Children’s Hospital, Helsinki University Hospital, Helsinki, Finland
| | - Haci Ahmet Demir
- Department of Pediatric Hematology-Oncology, Private Memorial Ankara Hospital, Ankara, Turkey
| | - Steven C Clifford
- Wolfson Childhood Cancer Research Centre, Newcastle University Centre for Cancer, Newcastle upon Tyne, United Kingdom
| | - Ed C Schwalbe
- Wolfson Childhood Cancer Research Centre, Newcastle University Centre for Cancer, Newcastle upon Tyne, United Kingdom
- Applied Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom
| | - Luca Massimi
- Pediatric Neurosurgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, Catholic University Medical School, Rome, Italy
| | - Matija Snuderl
- Department of Pathology, New York University Langone Health, New York City, NY, USA
| | - Kristyn Galbraith
- Department of Pathology, New York University Langone Health, New York City, NY, USA
| | - Matthias A Karajannis
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
| | - Katherine Hill
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
| | - Bryan K Li
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
| | - Mike Walsh
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
| | - Christine L White
- Victorian Clinical Genetics Services, Parkville, Australia
- Hudson Institute of Medical Research, Clayton, Australia
- Department of Molecular and Translational Science, Monash University, Clayton, Australia
| | - Shelagh Redmond
- Childhood Cancer Registry, Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Loizou Loizos
- Pediatric Oncology/Hematology/Immunology at the Medical School of the University of Nicosia, Nicosia, Cyprus
| | - Marcus Jakob
- Department of Paediatric Haematology, Oncology and Stem-Cell Transplantation, University Hospital Regensburg, Regensburg, Germany
| | - Uwe R Kordes
- Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Irene Schmid
- Paediatric Haematology and Oncology, Dr. von Hauner Children’s Hospital, Ludwig Maximilians University Munich, Munich, Germany
| | - Julia Hauer
- Pediatric Haematology and Oncology, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Claudia Blattmann
- Paediatric Haematology, Oncology and Immunology, Olgahospital, Klinikum Stuttgart, Stuttgart, Germany
| | - Maria Filippidou
- Division of Pediatric Hematology-Oncology, First Department of Pediatrics, National and Kapodistrian University of Athens, “Aghia Sophia” Children’s Hospital, Athens, Greece
| | - Gianluca Piccolo
- Neuro-Oncology Unit, IRCCS Istituto Giannina Gaslini, Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
| | - Wolfram Scheurlen
- Paediatric Haematology and Oncology, Cnopfsche Paediatric Clinic, Nurnberg, Germany
| | - Ahmed Farrag
- Department of Paediatric Haematology, Oncology and Stem-Cell Transplantation, Paediatric Clinic, University Hospital Aachen, Aachen, Germany
- Department of Pediatric Oncology, South Egypt Cancer Institute, Assiut University, Egypt
| | - Kerstin Grund
- Institute of Human Genetics, University Hospital Heidelberg, Heidelberg, Germany
| | - Christian Sutter
- Institute of Human Genetics, University Hospital Heidelberg, Heidelberg, Germany
| | - Torsten Pietsch
- Institute of Neuropathology, DGNN Brain Tumor Reference Center, University of Bonn Medical Center, Bonn, Germany
| | - Stephan Frank
- Division of Neuropathology, Institute of Pathology, Basel University Hospital, Basel, Switzerland
| | - Denis M Schewe
- Department of Pediatrics, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - David Malkin
- Division of Hematology/Oncology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Myriam Ben-Arush
- Pediatric Hematology Oncology, Rambam Medical Center, Haifa, Israel
| | - Astrid Sehested
- Department of Paediatrics and Adolescent Medicine, Juliane Marie Centre, Copenhagen University Hospital, Copenhagen, Denmark
| | - Tai-Tong Wong
- Division of Pediatric Neurosurgery, Department of Neurosurgery, Taipei Medical University Hospital, Taipei Medical University, Taipei 110, Taiwan
| | - Kuo-Sheng Wu
- Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Yen-Lin Liu
- Department of Pediatrics, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Fernando Carceller
- Paediatric and Adolescent Oncology Drug Development Team, Children and Young People’s Unit, The Royal Marsden NHS Foundation Trust and The Institute of Cancer Research, Sutton, United Kingdom
| | - Sabine Mueller
- Department of Neurology, Neurosurgery and Pediatrics, University of California, San Francisco, USA
| | - Schuyler Stoller
- Department of Neurology, University of California, San Francisco, USA
| | - Michael D Taylor
- Division of Neurosurgery, Program in Developmental and Stem Cell Biology, Arthur and Sonia Labatt Brain Tumour Research Centre, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Uri Tabori
- Division of Hematology and Oncology, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Eric Bouffet
- Division of Hematology and Oncology, Hospital for Sick Children, Toronto, Ontario, Canada
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada; Division of Haematology/ Oncology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Marcel Kool
- Hopp Children’s Cancer Center (KiTZ), Heidelberg, Germany
- Pediatric Neurooncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany
- Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands
| | - Felix Sahm
- Hopp Children’s Cancer Center (KiTZ), Heidelberg, Germany
- Department of Neuropathology, Institute of Pathology, Heidelberg University Hospital, and CCU Neuropathology, German Cancer Institute (DKF), Heidelberg, Germany
| | - Andreas von Deimling
- Department of Neuropathology, Institute of Pathology, Heidelberg University Hospital, and CCU Neuropathology, German Cancer Institute (DKF), Heidelberg, Germany
| | - Andrey Korshunov
- Department of Neuropathology, Institute of Pathology, Heidelberg University Hospital, and CCU Neuropathology, German Cancer Institute (DKF), Heidelberg, Germany
| | - Katja von Hoff
- Department of Pediatric Oncology and Hematology, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Department of Pediatrics and Adolescent Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Christian P Kratz
- Pediatric Hematology and Oncology, Hannover Medical School, Hannover, Germany
| | - Dominik Sturm
- Hopp Children’s Cancer Center (KiTZ), Heidelberg, Germany
- Department of Pediatric Oncology, Hematology, Immunology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
- Pediatric Glioma Research, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany
| | - David T W Jones
- Hopp Children’s Cancer Center (KiTZ), Heidelberg, Germany
- Pediatric Glioma Research, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Stefan Rutkowski
- Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Cornelis M van Tilburg
- Hopp Children’s Cancer Center (KiTZ), Heidelberg, Germany
- CCU Pediatric Oncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Heidelberg, Germany
- Department of Pediatric Oncology, Hematology, Immunology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
| | - Olaf Witt
- Hopp Children’s Cancer Center (KiTZ), Heidelberg, Germany
- CCU Pediatric Oncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Heidelberg, Germany
- Department of Pediatric Oncology, Hematology, Immunology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
| | - Gaëlle Bougeard
- Univ Rouen Normandie, Inserm U1245 and CHU Rouen, Department of Genetics, F-76000 Rouen, France
| | - Kristian W Pajtler
- Hopp Children’s Cancer Center (KiTZ), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Heidelberg, Germany
- Department of Pediatric Oncology, Hematology, Immunology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
- Pediatric Neurooncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Stefan M Pfister
- Hopp Children’s Cancer Center (KiTZ), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Heidelberg, Germany
- Department of Pediatric Oncology, Hematology, Immunology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
- Pediatric Neurooncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Franck Bourdeaut
- SIREDO Pediatric Oncology Center, Institut Curie, Paris-Science Lettres University, Paris, France
| | - Till Milde
- Hopp Children’s Cancer Center (KiTZ), Heidelberg, Germany
- CCU Pediatric Oncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Heidelberg, Germany
- Department of Pediatric Oncology, Hematology, Immunology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
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27
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Tjader NP, Beer AJ, Ramroop J, Tai MC, Ping J, Gandhi T, Dauch C, Neuhausen SL, Ziv E, Sotelo N, Ghanekar S, Meadows O, Paredes M, Gillespie J, Aeilts A, Hampel H, Zheng W, Jia G, Hu Q, Wei L, Liu S, Ambrosone CB, Palmer JR, Carpten JD, Yao S, Stevens P, Ho WK, Pan JW, Fadda P, Huo D, Teo SH, McElroy JP, Toland AE. Association of ESR1 germline variants with TP53 somatic variants in breast tumors in a genome-wide study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.06.23299442. [PMID: 38106140 PMCID: PMC10723566 DOI: 10.1101/2023.12.06.23299442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Background In breast tumors, somatic mutation frequencies in TP53 and PIK3CA vary by tumor subtype and ancestry. HER2 positive and triple negative breast cancers (TNBC) have a higher frequency of TP53 somatic mutations than other subtypes. PIK3CA mutations are more frequently observed in hormone receptor positive tumors. Emerging data suggest tumor mutation status is associated with germline variants and genetic ancestry. We aimed to identify germline variants that are associated with somatic TP53 or PIK3CA mutation status in breast tumors. Methods A genome-wide association study was conducted using breast cancer mutation status of TP53 and PIK3CA and functional mutation categories including TP53 gain of function (GOF) and loss of function mutations and PIK3CA activating/hotspot mutations. The discovery analysis consisted of 2850 European ancestry women from three datasets. Germline variants showing evidence of association with somatic mutations were selected for validation analyses based on predicted function, allele frequency, and proximity to known cancer genes or risk loci. Candidate variants were assessed for association with mutation status in a multi-ancestry validation study, a Malaysian study, and a study of African American/Black women with TNBC. Results The discovery Germline x Mutation (GxM) association study found five variants associated with one or more TP53 phenotypes with P values <1×10-6, 33 variants associated with one or more TP53 phenotypes with P values <1×10-5, and 44 variants associated with one or more PIK3CA phenotypes with P values <1×10-5. In the multi-ancestry and Malaysian validation studies, germline ESR1 locus variant, rs9383938, was associated with the presence of TP53 mutations overall (P values 6.8×10-5 and 9.8×10-8, respectively) and TP53 GOF mutations (P value 8.4×10-6). Multiple variants showed suggestive evidence of association with PIK3CA mutation status in the validation studies, but none were significant after correction for multiple comparisons. Conclusions We found evidence that germline variants were associated with TP53 and PIK3CA mutation status in breast cancers. Variants near the estrogen receptor alpha gene, ESR1, were significantly associated with overall TP53 mutations and GOF mutations. Larger multi-ancestry studies are needed to confirm these findings and determine if these variants contribute to ancestry-specific differences in mutation frequency.
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Affiliation(s)
- Nijole P. Tjader
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Abigail J. Beer
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Johnny Ramroop
- The City College of New York, City University of New York, New York, NY, USA
| | - Mei-Chee Tai
- Cancer Research Malaysia, Subang Jaya, Selangor 47500, Malaysia
| | - Jie Ping
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, TN 37203
| | - Tanish Gandhi
- Biomedical Sciences, The Ohio State University College of Medicine, Columbus, OH 43210, USA
- The Ohio State University Medical School, Columbus, OH, 43210, USA
| | - Cara Dauch
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
- The Ohio State University Wexner Medical Center, Clinical Trials Office, Columbus, OH 43210, USA
| | - Susan L. Neuhausen
- Beckman Research Institute of City of Hope, Department of Population Sciences, Duarte, CA, USA
| | - Elad Ziv
- University of California, Helen Diller Family Comprehensive Cancer Center, San Francisco, San Francisco, CA, USA
- University of California, Department of Medicine, San Francisco, San Francisco, CA, USA
- University of California San Francisco, Institute for Human Genetics, San Francisco, CA, USA
| | - Nereida Sotelo
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Shreya Ghanekar
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Owen Meadows
- Biomedical Sciences, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Monica Paredes
- Biomedical Sciences, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Jessica Gillespie
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Amber Aeilts
- Department of Internal Medicine, Division of Human Genetics, The Ohio State University, Columbus, OH, 43210, USA
| | - Heather Hampel
- Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, TN 37203
| | - Guochong Jia
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, TN 37203
| | - Qiang Hu
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Lei Wei
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Song Liu
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Christine B. Ambrosone
- Department of Cancer Control and Prevention, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Julie R. Palmer
- Slone Epidemiology Center at Boston University, Boston, MA, USA
| | - John D. Carpten
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
- Department of Integrative Translational Sciences, City of Hope, Duarte, CA
| | - Song Yao
- Department of Cancer Control and Prevention, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Patrick Stevens
- The Ohio State University Comprehensive Cancer Center, Bioinformatics Shared Resource, Columbus, OH, USA
| | - Weang-Kee Ho
- Cancer Research Malaysia, Subang Jaya, Selangor 47500, Malaysia
- School of Mathematical Sciences, Faculty of Science and Engineering, University of Nottingham Malaysia, Semenyih, Selangor 43500, Malaysia
| | - Jia Wern Pan
- Cancer Research Malaysia, Subang Jaya, Selangor 47500, Malaysia
| | - Paolo Fadda
- The Ohio State University Comprehensive Cancer Center, Genomics Shared Resource, Columbus, OH, USA
| | - Dezheng Huo
- Department of Public Health Sciences, University of Chicago, Chicago, IL, 60637, USA
| | - Soo-Hwang Teo
- Cancer Research Malaysia, Subang Jaya, Selangor 47500, Malaysia
- Faculty of Medicine, University Malaya Cancer Research Institute, University of Malaya, Kuala Lumpur 50603, Malaysia
| | - Joseph Paul McElroy
- The Ohio State University Center for Biostatistics, Department of Biomedical Informatics, Columbus, OH, USA
| | - Amanda Ewart Toland
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Department of Internal Medicine, Division of Human Genetics, The Ohio State University, Columbus, OH, 43210, USA
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28
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Pinto EM, Ribeiro EMSF, Wang J, Phillips AH, Kriwacki RW, Zambetti GP. Clinical and functional analysis of the germline TP53 p.K164E acetylation site variant. Cold Spring Harb Mol Case Stud 2023; 9:a006290. [PMID: 38050059 PMCID: PMC10815290 DOI: 10.1101/mcs.a006290] [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: 09/12/2023] [Accepted: 11/27/2023] [Indexed: 12/06/2023] Open
Abstract
TP53 plays a critical role as a tumor suppressor by controlling cell cycle progression, DNA repair, and apoptosis. Post-translational modifications such as acetylation of specific lysine residues in the DNA binding and carboxy-terminus regulatory domains modulate its tumor suppressor activities. In this study, we addressed the functional consequences of the germline TP53 p.K164E (NM_000546.5: c.490A>G) variant identified in a patient with early-onset breast cancer and a significant family history of cancer. K164 is a conserved residue located in the L2 loop of the p53 DNA binding domain that is post-translationally modified by acetylation. In silico, in vitro, and in vivo analyses demonstrated that the glutamate substitution at K164 marginally destabilizes the p53 protein structure but significantly impairs sequence-specific DNA binding, transactivation, and tumor cell growth inhibition. Although p.K164E is currently considered a variant of unknown significance by different clinical genetic testing laboratories, the clinical and laboratory-based findings presented here provide strong evidence to reclassify TP53 p.K164E as a likely pathogenic variant.
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Affiliation(s)
- Emilia Modolo Pinto
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, USA;
| | - Enilze M S F Ribeiro
- Programa de Pós-graduação em Genética, Universidade Federal do Paraná, Curitiba, Paraná, 81531-980, Brazil;
| | - Jinling Wang
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, USA
| | - Aaron H Phillips
- Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, USA
| | - Richard W Kriwacki
- Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, USA
| | - Gerard P Zambetti
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, USA;
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29
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Pan Q, Portelli S, Nguyen TB, Ascher DB. Characterization on the oncogenic effect of the missense mutations of p53 via machine learning. Brief Bioinform 2023; 25:bbad428. [PMID: 38018912 PMCID: PMC10685404 DOI: 10.1093/bib/bbad428] [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: 06/14/2023] [Revised: 10/13/2023] [Accepted: 11/05/2023] [Indexed: 11/30/2023] Open
Abstract
Dysfunctions caused by missense mutations in the tumour suppressor p53 have been extensively shown to be a leading driver of many cancers. Unfortunately, it is time-consuming and labour-intensive to experimentally elucidate the effects of all possible missense variants. Recent works presented a comprehensive dataset and machine learning model to predict the functional outcome of mutations in p53. Despite the well-established dataset and precise predictions, this tool was trained on a complicated model with limited predictions on p53 mutations. In this work, we first used computational biophysical tools to investigate the functional consequences of missense mutations in p53, informing a bias of deleterious mutations with destabilizing effects. Combining these insights with experimental assays, we present two interpretable machine learning models leveraging both experimental assays and in silico biophysical measurements to accurately predict the functional consequences on p53 and validate their robustness on clinical data. Our final model based on nine features obtained comparable predictive performance with the state-of-the-art p53 specific method and outperformed other generalized, widely used predictors. Interpreting our models revealed that information on residue p53 activity, polar atom distances and changes in p53 stability were instrumental in the decisions, consistent with a bias of the properties of deleterious mutations. Our predictions have been computed for all possible missense mutations in p53, offering clinical diagnostic utility, which is crucial for patient monitoring and the development of personalized cancer treatment.
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Affiliation(s)
- Qisheng Pan
- School of Chemistry and Molecular Bioscience, University of Queensland, Brisbane Queensland 4072, Australia
- Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne Victoria 3004, Australia
| | - Stephanie Portelli
- School of Chemistry and Molecular Bioscience, University of Queensland, Brisbane Queensland 4072, Australia
- Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne Victoria 3004, Australia
| | - Thanh Binh Nguyen
- School of Chemistry and Molecular Bioscience, University of Queensland, Brisbane Queensland 4072, Australia
- Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne Victoria 3004, Australia
| | - David B Ascher
- School of Chemistry and Molecular Bioscience, University of Queensland, Brisbane Queensland 4072, Australia
- Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne Victoria 3004, Australia
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30
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Sánchez-Heras AB, Ramon y Cajal T, Pineda M, Aguirre E, Graña B, Chirivella I, Balmaña J, Brunet J. SEOM clinical guideline on heritable TP53-related cancer syndrome (2022). Clin Transl Oncol 2023; 25:2627-2633. [PMID: 37133731 PMCID: PMC10425559 DOI: 10.1007/s12094-023-03202-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 04/11/2023] [Indexed: 05/04/2023]
Abstract
Li-Fraumeni syndrome is caused by heterozygous germline pathogenic variants in the TP53 gene. It involves a high risk of a variety of malignant tumors in childhood and adulthood, the main ones being premenopausal breast cancer, soft tissue sarcomas and osteosarcomas, central nervous system tumors, and adrenocortical carcinomas. The variability of the associated clinical manifestations, which do not always fit the classic criteria of Li-Fraumeni syndrome, has led the concept of SLF to extend to a more overarching cancer predisposition syndrome, termed hereditable TP53-related cancer syndrome (hTP53rc). However, prospective studies are needed to assess genotype-phenotype characteristics, as well as to evaluate and validate risk-adjusted recommendations. This guideline aims to establish the basis for interpreting pathogenic variants in the TP53 gene and provide recommendations for effective screening and prevention of associated cancers in carrier individuals.
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Affiliation(s)
| | | | - Marta Pineda
- Hereditary Cancer Program, Catalan Institute of Oncology, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), ONCOBELL Program, L’Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Cancer, CIBERONC, Carlos III Institute of Health, Madrid, Spain
| | - Elena Aguirre
- Medical Oncology Department, Hospital Quironsalud, Zaragoza, Spain
| | - Begoña Graña
- Medical Oncology Department, University Hospital A Coruña, 15006 A Coruña, Spain
| | - Isabel Chirivella
- Medical Oncology Department, INCLIVA Biomedical Research Institute, University of Valencia, Valencia, Spain
| | - Judit Balmaña
- Medical Oncology Department, Hospital Vall d’Hebron, and Hereditary Cancer Genetics Group, Vall d’Hebron Institute of Oncology, Barcelona, Spain
| | - Joan Brunet
- Hereditary Cancer Program, Catalan Institute of Oncology, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), ONCOBELL Program, L’Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Cancer, CIBERONC, Carlos III Institute of Health, Madrid, Spain
- Medical Oncology Department, Catalan Institute of Oncology, University Hospital Josep Trueta, University of Girona, Girona, Spain
- Hereditary Cancer Program, Catalan Institute of Oncology, Girona Biomedical Research Instiute (IDIBGI), Girona, Spain
| | - the SEOM Hereditary Cancer Working Group and AEGH Hereditary Cancer Committee
- Medical Oncology Department, Hospital General Universitario de Elche, Elche, Alicante, Spain
- Medical Oncology Service, Hospital Sant Pau, Barcelona, Spain
- Hereditary Cancer Program, Catalan Institute of Oncology, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), ONCOBELL Program, L’Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Cancer, CIBERONC, Carlos III Institute of Health, Madrid, Spain
- Medical Oncology Department, Hospital Quironsalud, Zaragoza, Spain
- Medical Oncology Department, University Hospital A Coruña, 15006 A Coruña, Spain
- Medical Oncology Department, INCLIVA Biomedical Research Institute, University of Valencia, Valencia, Spain
- Medical Oncology Department, Hospital Vall d’Hebron, and Hereditary Cancer Genetics Group, Vall d’Hebron Institute of Oncology, Barcelona, Spain
- Medical Oncology Department, Catalan Institute of Oncology, University Hospital Josep Trueta, University of Girona, Girona, Spain
- Hereditary Cancer Program, Catalan Institute of Oncology, Girona Biomedical Research Instiute (IDIBGI), Girona, Spain
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31
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Butz H, Bozsik A, Grolmusz V, Szőcs E, Papp J, Patócs A. Challenging interpretation of germline TP53 variants based on the experience of a national comprehensive cancer centre. Sci Rep 2023; 13:14259. [PMID: 37653074 PMCID: PMC10471726 DOI: 10.1038/s41598-023-41481-y] [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: 04/03/2023] [Accepted: 08/27/2023] [Indexed: 09/02/2023] Open
Abstract
TP53 variant interpretation is still challenging, especially in patients with attenuated Li-Fraumeni syndrome (LFS). We investigated the prevalence of pathogenic/likely pathogenic (P/LP) variants and LFS disease in the Hungarian population of cancer patients. By testing 893 patients with multiplex or familial cancer, we identified and functionally characterized novel splice variants of TP53 helping accurate variant classification. The differences among various semi-automated interpretation platforms without manual curation highlight the importance of focused interpretation as the automatic classification systems do not apply the TP53-specific criteria. The predicted frequency of the TP53 P/LP variants in Hungary is 0.3 per million which most likely underestimates the real prevalence. The higher detection rate of disease-causing variants in patients with attenuated LFS phenotype compared to the control population (OR 12.5; p < 0.0001) may raise the potential benefit of the TP53 genetic testing as part of the hereditary cancer panels of patients with multiple or familial cancer even when they do not meet Chompret criteria. Tumours developed at an earlier age in phenotypic LFS patients compared to the attenuated LFS patients which complicates genetic counselling as currently there are no different recommendations in surveillance protocols for LFS, phenotypic LFS, and attenuated LFS patients.
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Affiliation(s)
- Henriett Butz
- Department of Molecular Genetics and the National Tumour Biology Laboratory, National Institute of Oncology, Comprehensive Cancer Center, Budapest, Hungary.
- Department of Oncology Biobank, National Institute of Oncology, Comprehensive Cancer Center, Budapest, Hungary.
- Hereditary Tumours Research Group, Eötvös Loránd Research Network, Budapest, Hungary.
- Department of Laboratory Medicine, Semmelweis University, Budapest, Hungary.
| | - Anikó Bozsik
- Department of Molecular Genetics and the National Tumour Biology Laboratory, National Institute of Oncology, Comprehensive Cancer Center, Budapest, Hungary
- Hereditary Tumours Research Group, Eötvös Loránd Research Network, Budapest, Hungary
| | - Vince Grolmusz
- Department of Molecular Genetics and the National Tumour Biology Laboratory, National Institute of Oncology, Comprehensive Cancer Center, Budapest, Hungary
- Hereditary Tumours Research Group, Eötvös Loránd Research Network, Budapest, Hungary
| | - Erika Szőcs
- Department of Oncology Biobank, National Institute of Oncology, Comprehensive Cancer Center, Budapest, Hungary
| | - János Papp
- Department of Molecular Genetics and the National Tumour Biology Laboratory, National Institute of Oncology, Comprehensive Cancer Center, Budapest, Hungary
- Hereditary Tumours Research Group, Eötvös Loránd Research Network, Budapest, Hungary
| | - Attila Patócs
- Department of Molecular Genetics and the National Tumour Biology Laboratory, National Institute of Oncology, Comprehensive Cancer Center, Budapest, Hungary
- Hereditary Tumours Research Group, Eötvös Loránd Research Network, Budapest, Hungary
- Department of Laboratory Medicine, Semmelweis University, Budapest, Hungary
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32
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Molteni E, Bono E, Gallì A, Elena C, Ferrari J, Fiorelli N, Pozzi S, Ferretti VV, Sarchi M, Rizzo E, Camilotto V, Boveri E, Cazzola M, Malcovati L. Prevalence and clinical expression of germ line predisposition to myeloid neoplasms in adults with marrow hypocellularity. Blood 2023; 142:643-657. [PMID: 37216690 PMCID: PMC10644067 DOI: 10.1182/blood.2022019304] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 03/27/2023] [Accepted: 05/10/2023] [Indexed: 05/24/2023] Open
Abstract
Systematic studies of germ line genetic predisposition to myeloid neoplasms in adult patients are still limited. In this work, we performed germ line and somatic targeted sequencing in a cohort of adult patients with hypoplastic bone marrow (BM) to study germ line predisposition variants and their clinical correlates. The study population included 402 consecutive adult patients investigated for unexplained cytopenia and reduced age-adjusted BM cellularity. Germ line mutation analysis was performed using a panel of 60 genes, and variants were interpreted per the American College of Medical Genetics and Genomics/Association for Molecular Pathology guidelines; somatic mutation analysis was performed using a panel of 54 genes. Of the 402 patients, 27 (6.7%) carried germ line variants that caused a predisposition syndrome/disorder. The most frequent disorders were DDX41-associated predisposition, Fanconi anemia, GATA2-deficiency syndrome, severe congenital neutropenia, RASopathy, and Diamond-Blackfan anemia. Eighteen of 27 patients (67%) with causative germ line genotype were diagnosed with myeloid neoplasm, and the remaining with cytopenia of undetermined significance. Patients with a predisposition syndrome/disorder were younger than the remaining patients and had a higher risk of severe or multiple cytopenias and advanced myeloid malignancy. In patients with myeloid neoplasm, causative germ line mutations were associated with increased risk of progression into acute myeloid leukemia. Family or personal history of cancer did not show significant association with a predisposition syndrome/disorder. The findings of this study unveil the spectrum, clinical expressivity, and prevalence of germ line predisposition mutations in an unselected cohort of adult patients with cytopenia and hypoplastic BM.
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Affiliation(s)
- Elisabetta Molteni
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
- Department of Hematology Oncology, IRCCS Fondazione Policlinico San Matteo, Pavia, Italy
| | - Elisa Bono
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
- Department of Hematology Oncology, IRCCS Fondazione Policlinico San Matteo, Pavia, Italy
| | - Anna Gallì
- Department of Hematology Oncology, IRCCS Fondazione Policlinico San Matteo, Pavia, Italy
| | - Chiara Elena
- Department of Hematology Oncology, IRCCS Fondazione Policlinico San Matteo, Pavia, Italy
| | - Jacqueline Ferrari
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
- Department of Hematology Oncology, IRCCS Fondazione Policlinico San Matteo, Pavia, Italy
| | - Nicolas Fiorelli
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
- Department of Hematology Oncology, IRCCS Fondazione Policlinico San Matteo, Pavia, Italy
| | - Sara Pozzi
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | | | - Martina Sarchi
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | | | - Virginia Camilotto
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
- Department of Hematology Oncology, IRCCS Fondazione Policlinico San Matteo, Pavia, Italy
| | - Emanuela Boveri
- Department of Pathology, IRCCS Fondazione Policlinico San Matteo, Pavia, Italy
| | - Mario Cazzola
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
- Department of Hematology Oncology, IRCCS Fondazione Policlinico San Matteo, Pavia, Italy
| | - Luca Malcovati
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
- Department of Hematology Oncology, IRCCS Fondazione Policlinico San Matteo, Pavia, Italy
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33
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Förster A, Davenport C, Duployez N, Erlacher M, Ferster A, Fitzgibbon J, Göhring G, Hasle H, Jongmans MC, Kolenova A, Kronnie G, Lammens T, Mecucci C, Mlynarski W, Niemeyer CM, Sole F, Szczepanski T, Waanders E, Biondi A, Wlodarski M, Schlegelberger B, Ripperger T. European standard clinical practice - Key issues for the medical care of individuals with familial leukemia. Eur J Med Genet 2023; 66:104727. [PMID: 36775010 DOI: 10.1016/j.ejmg.2023.104727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 02/02/2023] [Accepted: 02/10/2023] [Indexed: 02/12/2023]
Abstract
Although hematologic malignancies (HM) are no longer considered exclusively sporadic, additional awareness of familial cases has yet to be created. Individuals carrying a (likely) pathogenic germline variant (e.g., in ETV6, GATA2, SAMD9, SAMD9L, or RUNX1) are at an increased risk for developing HM. Given the clinical and psychological impact associated with the diagnosis of a genetic predisposition to HM, it is of utmost importance to provide high-quality, standardized patient care. To address these issues and harmonize care across Europe, the Familial Leukemia Subnetwork within the ERN PaedCan has been assigned to draft an European Standard Clinical Practice (ESCP) document reflecting current best practices for pediatric patients and (healthy) relatives with (suspected) familial leukemia. The group was supported by members of the German network for rare diseases MyPred, of the Host Genome Working Group of SIOPE, and of the COST action LEGEND. The ESCP on familial leukemia is proposed by an interdisciplinary team of experts including hematologists, oncologists, and human geneticists. It is intended to provide general recommendations in areas where disease-specific recommendations do not yet exist. Here, we describe key issues for the medical care of familial leukemia that shall pave the way for a future consensus guideline: (i) identification of individuals with or suggestive of familial leukemia, (ii) genetic analysis and variant interpretation, (iii) genetic counseling and patient education, and (iv) surveillance and (psychological) support. To address the question on how to proceed with individuals suggestive of or at risk of familial leukemia, we developed an algorithm covering four different, partially linked clinical scenarios, and additionally a decision tree to guide clinicians in their considerations regarding familial leukemia in minors with HM. Our recommendations cover, not only patients but also relatives that both should have access to adequate medical care. We illustrate the importance of natural history studies and the need for respective registries for future evidence-based recommendations that shall be updated as new evidence-based standards are established.
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Affiliation(s)
- Alisa Förster
- Department of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Claudia Davenport
- Department of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Nicolas Duployez
- Department of Hematology, CHU Lille, INSERM, University Lille, Lille, France
| | - Miriam Erlacher
- Division of Pediatric Hematology-Oncology, Department of Pediatric and Adolescent Medicine, University of Freiburg, Freiburg, Germany
| | - Alina Ferster
- Department of Pediatric Rheumatology, Hôpital Universitaire des Enfants Reine Fabiola, Brussels, Belgium
| | - Jude Fitzgibbon
- Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Gudrun Göhring
- Department of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Henrik Hasle
- Department of Paediatrics and Adolescent Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Marjolijn C Jongmans
- Department of Genetics, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Alexandra Kolenova
- Department of Pediatric Hematology and Oncology, Comenius University Medical School and University Children's Hospital, Bratislava, Slovakia
| | | | - Tim Lammens
- Department of Pediatric Hematology-Oncology and Stem Cell Transplantation, Ghent University Hospital, Ghent, Belgium; Cancer Research Institute Ghent (CRIG), Ghent, Belgium; Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
| | - Cristina Mecucci
- Institute of Hematology and Center for Hemato-Oncology Research, University and Hospital of Perugia, Perugia, Italy
| | - Wojciech Mlynarski
- Department of Pediatrics, Oncology and Hematology, Medical University of Lodz, Lodz, Poland
| | - Charlotte M Niemeyer
- Division of Pediatric Hematology and Oncology, Department of Pediatrics and Adolescent Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Francesc Sole
- Josep Carreras Leukemia Research Institute (IJC), Campus ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Tomasz Szczepanski
- Polish Pediatric Leukemia/Lymphoma Study Group, Zabrze, Poland; Medical University of Silesia, Katowice, Poland
| | - Esmé Waanders
- Department of Genetics, University Medical Center Utrecht, Utrecht, the Netherlands; Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Andrea Biondi
- Clinica Pediatrica and Centro Ricerca Tettamanti, Università di Milano-Bicocca, Monza, Italy
| | - Marcin Wlodarski
- Division of Pediatric Hematology and Oncology, Department of Pediatrics and Adolescent Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | | | - Tim Ripperger
- Department of Human Genetics, Hannover Medical School, Hannover, Germany.
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34
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Hatton JN, Frone MN, Cox HC, Crowley SB, Hiraki S, Yokoyama NN, Abul-Husn NS, Amatruda JF, Anderson MJ, Bofill-De Ros X, Carr AG, Chao EC, Chen KS, Gu S, Higgs C, Machado J, Ritter D, Schultz KA, Soper ER, Wu MK, Mester JL, Kim J, Foulkes WD, Witkowski L, Stewart DR. Specifications of the ACMG/AMP Variant Classification Guidelines for Germline DICER1 Variant Curation. Hum Mutat 2023; 2023:9537832. [PMID: 38084291 PMCID: PMC10713350 DOI: 10.1155/2023/9537832] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Germline pathogenic variants in DICER1 predispose individuals to develop a variety of benign and malignant tumors. Accurate variant curation and classification is essential for reliable diagnosis of DICER1-related tumor predisposition and identification of individuals who may benefit from surveillance. Since 2015, most labs have followed the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP) sequence variant classification guidelines for DICER1 germline variant curation. However, these general guidelines lack gene-specific nuances and leave room for subjectivity. Consequently, a group of DICER1 experts joined ClinGen to form the DICER1 and miRNA-Processing Genes Variant Curation Expert Panel (VCEP), to create DICER1- specific ACMG/AMP guidelines for germline variant curation. The VCEP followed the FDA-approved ClinGen protocol for adapting and piloting these guidelines. A diverse set of 40 DICER1 variants were selected for piloting, including 14 known Pathogenic/Likely Pathogenic (P/LP) variants, 12 known Benign/Likely Benign (B/LB) variants, and 14 variants classified as variants of uncertain significance (VUS) or with conflicting interpretations in ClinVar. Clinically meaningful classifications (i.e., P, LP, LB, or B) were achieved for 82.5% (33/40) of the pilot variants, with 100% concordance among the known P/LP and known B/LB variants. Half of the VUS or conflicting variants were resolved with four variants classified as LB and three as LP. These results demonstrate that the DICER1-specific guidelines for germline variant curation effectively classify known pathogenic and benign variants while reducing the frequency of uncertain classifications. Individuals and labs curating DICER1 variants should consider adopting this classification framework to encourage consistency and improve objectivity.
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Affiliation(s)
- Jessica N Hatton
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Megan N Frone
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Hannah C Cox
- PreventionGenetics LLC, Marshfield, Wisconsin, USA
| | | | | | | | - Noura S Abul-Husn
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - James F Amatruda
- Cancer and Blood Disease Institute, Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | | | - Xavier Bofill-De Ros
- RNA Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, USA
| | | | - Elizabeth C Chao
- Ambry Genetics, Aliso Viejo, California, USA
- Division of Genetics and Genomics, Department of Pediatrics, University of California, Irvine, California, USA
| | - Kenneth S Chen
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Shuo Gu
- RNA Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, USA
| | - Cecilia Higgs
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Jerry Machado
- Exact Sciences Laboratories, Madison, Wisconsin, USA
| | | | - Kris Ann Schultz
- Cancer and Blood Disorders, Children's Minnesota, International Pleuropulmonary Blastoma/DICER1 Registry, Minneapolis, Minnesota, USA
| | - Emily R Soper
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Mona K Wu
- Cancer and Blood Disease Institute, Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | | | - Jung Kim
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - William D Foulkes
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Leora Witkowski
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Douglas R Stewart
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
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Omran M, Johansson H, Lundgren C, Silander G, Stenmark-Askmalm M, Loman N, Baan A, Adra J, Kuchinskaya E, Blomqvist L, Tham E, Bajalica-Lagercrantz S, Brandberg Y. Whole-body MRI surveillance in TP53 carriers is perceived as beneficial with no increase in cancer worry regardless of previous cancer: Data from the Swedish TP53 Study. Cancer 2023; 129:946-955. [PMID: 36601958 DOI: 10.1002/cncr.34631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 11/25/2022] [Accepted: 11/30/2022] [Indexed: 01/06/2023]
Abstract
BACKGROUND To evaluate the psychosocial consequences of surveillance with whole-body MRI (WB-MRI) in individuals with the heritable TP53-related cancer (hTP53rc) syndrome, also known as the Li-Fraumeni syndrome, with regard to cancer worry, perceived benefits and risks to surveillance and overall health. PATIENTS AND METHODS Since 2016, the national Swedish TP53 Study (SWEP53) has offered surveillance with WB-MRI to all individuals with hTP53rc syndrome. Seventy-five individuals have been included in the study. Sixty consecutive participants fulfilled a base-line evaluation as well as an evaluation after 1 year with structured questionnaires including the Cancer Worry Scale (CWS), perceived benefits and risks of surveillance, and the 36-item Short Form Survey (SF-36). Individuals with or without previous personal cancer diagnosis were enrolled and results at baseline and after 1 year of surveillance were compared. For SF-36, a comparison with the normal population was also made. RESULTS Participants with previous cancer tend to worry more about cancer, but both individuals with and without cancer had a positive attitude toward surveillance with no differences regarding perceived benefits and barriers to surveillance. Participants with a previous cancer scored significantly lower on some of the SF-36 subscales, but between-group differences were found only for social functioning after 1 year. CONCLUSIONS Surveillance with WB-MRI is feasible from a psychosocial point of view both among TP53 carriers with as well as without a previous history of cancer and does not increase cancer worry in any of the groups. PLAIN LANGUAGE SUMMARY Individuals with heritable TP53-related cancer syndrome (also known as the Li-Fraumeni syndrome) have a high lifetime risk of developing cancer. These TP53 carriers are offered surveillance with whole-body MRI to detect cancer early. There are few reports of the psychosocial impact of surveillance. In this study, we wanted to evaluate cancer worry, benefits and barriers to participation, and perceived overall health. Our study shows no increase in cancer worry after 1 year of surveillance, regardless of previous cancer.
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Affiliation(s)
- Meis Omran
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.,Cancer Theme, Karolinska University Hospital Solna, Stockholm, Sweden
| | - Hemming Johansson
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Claudia Lundgren
- Department of Immunology, Genetics and Pathology, Uppsala University Hospital, Uppsala, Sweden
| | - Gustav Silander
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Marie Stenmark-Askmalm
- Division of Clinical Genetics, Department of Laboratory Medicine, Office for Medical Services, Skåne University Hospital, Lund, Sweden
| | - Niklas Loman
- Division of Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden.,Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Malmö, Sweden
| | - Annika Baan
- Department of Oncology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Jamila Adra
- Department of Oncology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | | | - Lennart Blomqvist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Department of Imaging and Physiology, Karolinska University Hospital Solna, Stockholm, Sweden
| | - Emma Tham
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Svetlana Bajalica-Lagercrantz
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.,Cancer Theme, Karolinska University Hospital Solna, Stockholm, Sweden.,Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Yvonne Brandberg
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
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36
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Munté E, Feliubadaló L, Pineda M, Tornero E, Gonzalez M, Moreno-Cabrera JM, Roca C, Bales Rubio J, Arnaldo L, Capellá G, Mosquera JL, Lázaro C. vaRHC: an R package for semi-automation of variant classification in hereditary cancer genes according to ACMG/AMP and gene-specific ClinGen guidelines. Bioinformatics 2023; 39:7077135. [PMID: 36916756 PMCID: PMC10032633 DOI: 10.1093/bioinformatics/btad128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 02/10/2023] [Accepted: 03/02/2023] [Indexed: 03/16/2023] Open
Abstract
MOTIVATION Germline variant classification allows accurate genetic diagnosis and risk assessment. However, it is a tedious iterative process integrating information from several sources and types of evidence. It should follow gene-specific (if available) or general updated international guidelines. Thus, it is the main burden of the incorporation of next-generation sequencing into the clinical setting. RESULTS We created the vaRiants in HC (vaRHC) R package to assist the process of variant classification in hereditary cancer by: (i) collecting information from diverse databases; (ii) assigning or denying different types of evidence according to updated American College of Molecular Genetics and Genomics/Association of Molecular Pathologist gene-specific criteria for ATM, CDH1, CHEK2, MLH1, MSH2, MSH6, PMS2, PTEN, and TP53 and general criteria for other genes; (iii) providing an automated classification of variants using a Bayesian metastructure and considering CanVIG-UK recommendations; and (iv) optionally printing the output to an .xlsx file. A validation using 659 classified variants demonstrated the robustness of vaRHC, presenting a better criteria assignment than Cancer SIGVAR, an available similar tool. AVAILABILITY AND IMPLEMENTATION The source code can be consulted in the GitHub repository (https://github.com/emunte/vaRHC) Additionally, it will be submitted to CRAN soon.
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Affiliation(s)
- Elisabet Munté
- Hereditary Cancer Program, Program in Molecular Mechanisms and Experimental Therapy in Oncology (Oncobell), IDIBELL, Catalan Institute of Oncology, L'Hospitalet de Llobregat 08908, Spain
| | - Lidia Feliubadaló
- Hereditary Cancer Program, Program in Molecular Mechanisms and Experimental Therapy in Oncology (Oncobell), IDIBELL, Catalan Institute of Oncology, L'Hospitalet de Llobregat 08908, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Marta Pineda
- Hereditary Cancer Program, Program in Molecular Mechanisms and Experimental Therapy in Oncology (Oncobell), IDIBELL, Catalan Institute of Oncology, L'Hospitalet de Llobregat 08908, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Eva Tornero
- Hereditary Cancer Program, Program in Molecular Mechanisms and Experimental Therapy in Oncology (Oncobell), IDIBELL, Catalan Institute of Oncology, L'Hospitalet de Llobregat 08908, Spain
| | - Maribel Gonzalez
- Hereditary Cancer Program, Program in Molecular Mechanisms and Experimental Therapy in Oncology (Oncobell), IDIBELL, Catalan Institute of Oncology, L'Hospitalet de Llobregat 08908, Spain
| | - José Marcos Moreno-Cabrera
- Hereditary Cancer Program, Program in Molecular Mechanisms and Experimental Therapy in Oncology (Oncobell), IDIBELL, Catalan Institute of Oncology, L'Hospitalet de Llobregat 08908, Spain
| | - Carla Roca
- Hereditary Cancer Program, Program in Molecular Mechanisms and Experimental Therapy in Oncology (Oncobell), IDIBELL, Catalan Institute of Oncology, L'Hospitalet de Llobregat 08908, Spain
| | - Joan Bales Rubio
- Department of Information Technologies, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat 08908, Spain
| | - Laura Arnaldo
- Hereditary Cancer Program, Program in Molecular Mechanisms and Experimental Therapy in Oncology (Oncobell), IDIBELL, Catalan Institute of Oncology, L'Hospitalet de Llobregat 08908, Spain
| | - Gabriel Capellá
- Hereditary Cancer Program, Program in Molecular Mechanisms and Experimental Therapy in Oncology (Oncobell), IDIBELL, Catalan Institute of Oncology, L'Hospitalet de Llobregat 08908, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Jose Luis Mosquera
- Department of Bioinformatics, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat 08908, Spain
| | - Conxi Lázaro
- Hereditary Cancer Program, Program in Molecular Mechanisms and Experimental Therapy in Oncology (Oncobell), IDIBELL, Catalan Institute of Oncology, L'Hospitalet de Llobregat 08908, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
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37
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Witt D, Faust U, Strobl-Wildemann G, Sturm M, Buchert R, Zuleger T, Admard J, Casadei N, Ossowski S, Haack TB, Rieß O, Schroeder C. Genome sequencing identifies complex structural MLH1 variant in unsolved Lynch syndrome. Mol Genet Genomic Med 2023:e2151. [PMID: 36760167 DOI: 10.1002/mgg3.2151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 12/15/2022] [Accepted: 01/25/2023] [Indexed: 02/11/2023] Open
Abstract
BACKGROUND Lynch syndrome is one of the most common cancer predisposition syndromes. It is caused by inherited changes in the mismatch repair pathway. With current diagnostic approaches, a causative genetic variant can be found in less than 50% of cases. A correct diagnosis is important for ensuring that an appropriate surveillance program is used and that additional high-risk family members are identified. METHODS We used clinical genome sequencing on DNA from blood and subsequent transcriptome sequencing for confirmation. Data were analyzed using the megSAP pipeline and classified according to basic criteria in diagnostic laboratories. Segregation analyses in family members were conducted via breakpoint PCR. RESULTS We present a family with the clinical diagnosis of Lynch syndrome in which standard diagnostic tests, such as panel or exome sequencing, were unable to detect the underlying genetic variant. Genome sequencing in the index patient confirmed the previous diagnostic results and identified an additional complex rearrangement with intronic breakpoints involving MLH1 and its neighboring gene LRRFIP2. The previously undetected structural variant was classified as medically relevant. Segregation analysis in the family identified additional at-risk individuals which were offered intensified cancer screening. DISCUSSION AND CONCLUSIONS This case illustrates the advantages of clinical genome sequencing in detecting structural variants compared with current diagnostic approaches. Although structural variants are rare in Lynch syndrome families, they seem to be underreported, in part because of technical challenges. Clinical genome sequencing offers a comprehensive genetic characterization detecting a wide range of genetic variants.
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Affiliation(s)
- Dennis Witt
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany
| | - Ulrike Faust
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany
| | | | - Marc Sturm
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany
| | - Rebecca Buchert
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany
| | - Theresia Zuleger
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany
| | - Jakob Admard
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany
| | - Nicolas Casadei
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany.,NGS Competence Center Tübingen, Tübingen, Germany
| | - Stephan Ossowski
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany
| | - Tobias B Haack
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany
| | - Olaf Rieß
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany
| | - Christopher Schroeder
- Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany
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38
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Feurstein S, Trottier AM, Estrada-Merly N, Pozsgai M, McNeely K, Drazer MW, Ruhle B, Sadera K, Koppayi AL, Scott BL, Oran B, Nishihori T, Agrawal V, Saad A, Lindsley RC, Nakamura R, Kim S, Hu Z, Sobecks R, Spellman S, Saber W, Godley LA. Germ line predisposition variants occur in myelodysplastic syndrome patients of all ages. Blood 2022; 140:2533-2548. [PMID: 35969835 PMCID: PMC9918848 DOI: 10.1182/blood.2022015790] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 07/18/2022] [Accepted: 07/20/2022] [Indexed: 11/20/2022] Open
Abstract
The frequency of pathogenic/likely pathogenic (P/LP) germ line variants in patients with myelodysplastic syndrome (MDS) diagnosed at age 40 years or less is 15% to 20%. However, there are no comprehensive studies assessing the frequency of such variants across the age spectrum. We performed augmented whole-exome sequencing of peripheral blood samples from 404 patients with MDS and their related donors before allogeneic hematopoietic stem cell transplantation. Single-nucleotide and copy number variants in 233 genes were analyzed and interpreted. Germ line status was established by the presence of a variant in the patient and related donor or for those seen previously only as germ line alleles. We identified P/LP germ line variants in 28 of 404 patients with MDS (7%), present within all age deciles. Patients with P/LP variants were more likely to develop higher-grade MDS than those without (43% vs 25%; P = .04). There was no statistically significant difference in outcome parameters between patients with and without a germ line variant, but the analysis was underpowered. P/LP variants in bone marrow failure syndrome genes were found in 5 patients aged less than 40 years, whereas variants in DDX41 (n = 4), telomere biology disorder genes (n = 2), and general tumor predisposition genes (n = 17) were found in patients aged more than 40 years. If presumed germ line variants were included, the yield of P/LP variants would increase to 11%, and by adding suspicious variants of unknown significance, it would rise further to 12%. The high frequency of P/LP germ line variants in our study supports comprehensive germ line genetic testing for all patients with MDS regardless of their age at diagnosis.
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Affiliation(s)
- Simone Feurstein
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL
- Section of Hematology, Oncology and Rheumatology, Department of Internal Medicine, Department of Medicine, Heidelberg University Hospital, Heidelberg, Germany
| | - Amy M. Trottier
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL
- Division of Hematology, Department of Medicine, QEII Health Sciences Centre, Dalhousie University, Halifax, NS, Canada
| | - Noel Estrada-Merly
- Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI
| | - Matthew Pozsgai
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL
| | - Kelsey McNeely
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL
| | - Michael W. Drazer
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL
| | - Brian Ruhle
- Section of General Surgery, Department of Surgery, The University of Chicago, Chicago, IL
| | - Katharine Sadera
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL
| | - Ashwin L. Koppayi
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL
| | | | - Betul Oran
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Taiga Nishihori
- Department of Blood and Marrow Transplant and Cellular Immunotherapy, Moffitt Cancer Center, Tampa, FL
| | - Vaibhav Agrawal
- Department of Hematology/HCT, City of Hope Comprehensive Cancer Center and Beckman Research Institute of City of Hope, Duarte, CA
| | - Ayman Saad
- Division of Hematology, The Ohio State University Wexner Medical Center, Columbus, OH
| | | | - Ryotaro Nakamura
- Department of Hematology/HCT, City of Hope Comprehensive Cancer Center and Beckman Research Institute of City of Hope, Duarte, CA
| | - Soyoung Kim
- Division of Biostatistics, Medical College of Wisconsin, Wauwatosa, WI
| | - Zhenhuan Hu
- Division of Biostatistics, Medical College of Wisconsin, Wauwatosa, WI
| | - Ronald Sobecks
- Blood and Marrow Transplantation, Department of Hematology and Medical Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - Stephen Spellman
- CIBMTR Center for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, MN
| | - Wael Saber
- Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI
| | - Lucy A. Godley
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL
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Ripperger T. [Genetic tumor risk syndromes : Human genetic aspects for radiologists]. RADIOLOGIE (HEIDELBERG, GERMANY) 2022; 62:1012-1016. [PMID: 36416927 DOI: 10.1007/s00117-022-01088-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/19/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Most malignant diseases develop sporadically. However, a significant proportion of cancers are based on genetic predispositions. In this case, cancer develops as a result of causal germline variants. In general, the associated diseases are called genetic tumor risk syndromes or cancer predisposition syndromes. Recognition of these syndromes is in the interest of those affected, as well as of their relatives, as this may have influence on immediate therapy or aftercare. In the course, risk-adapted surveillance or risk-reducing operations may be indicated. CLINICAL IMPACT Taking into account four signs (i.e., past medical history, characteristic tumors or suspicious age of onset, somatic alterations of the tumors, and family history), radiologists can contribute to the identification of patients with cancer predisposition. Besides appraisal of screening images, the expertise of radiologists is especially needed to develop and reevaluate risk-adapted surveillance programs.
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Affiliation(s)
- Tim Ripperger
- Institut für Humangenetik, Medizinische Hochschule Hannover (MHH), Carl-Neuberg-Str. 1, 30625, Hannover, Deutschland.
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40
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Wang J, Xiao X, Li S, Jiang H, Sun W, Wang P, Zhang Q. Landscape of pathogenic variants in six pre-mRNA processing factor genes for retinitis pigmentosa based on large in-house data sets and database comparisons. Acta Ophthalmol 2022; 100:e1412-e1425. [PMID: 35138024 DOI: 10.1111/aos.15104] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 12/31/2021] [Accepted: 01/20/2022] [Indexed: 12/29/2022]
Abstract
PURPOSE Variants in six genes encoding pre-mRNA processing factors (PRPFs) are a common cause of autosomal dominant retinitis pigmentosa (ADRP). This study aims to determine the characteristics of potential pathogenic variants (PPVs) in the six genes. METHODS Variants in six PRPF genes were identified from in-house exome sequencing data. PPVs were identified based on comparative bioinformatics analysis, clinical phenotypes and the ACMG/AMP guidelines. The features of PPVs were revealed by comparative analysis of in-house data set, gnomAD and previously published literature. RESULTS Totally, 36 heterozygous PPVs, including 19 novels, were detected from 45 families, which contributed to 4.4% (45/1019) of RP cases. These PPVs were distributed in PRPF31 (17/45, 37.8%), SNRNP200 (12/45, 26.7%), PRPF8 (10/45, 22.2%) and PRPF3 (6/45, 13.3%) but not in PRPF6 or PRPF4. Different types of PPVs were predominant in different PRPF genes, such as loss-of-function variants in PRPF31 and missense variants in the five remaining genes. The clustering of PPVs in specific regions was observed in SNRNP200, PRPF8 and PRPF3. The pathogenicity for certain classes of variants in these genes, such as loss-of-function variants in PRPF6 and missense variants in PRPF31 and PRPF4, requires careful consideration and further validation. The predominant fundus changes were early macular involvement, widespread RPE atrophy and pigmentation in the mid- and far-peripheral retina. CONCLUSION Systemic comparative analysis may shed light on the characterization of PPVs in these genes. Our findings provide a brief landscape of PPVs in PRPF genes and the associated phenotypes and emphasize the careful classification of pathogenicity for certain types of variants that warrant further characterization.
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Affiliation(s)
- Junwen Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Xueshan Xiao
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Shiqiang Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Hongmei Jiang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Wenmin Sun
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Panfeng Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Qingjiong Zhang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
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41
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Guo Y, Wan Q, Ouyang T, Li J, Wang T, Fan Z, Xie Y. Risk of ipsilateral breast tumor recurrence and contralateral breast cancer in patients with and without TP53 variant in a large series of breast cancer patients. Breast 2022; 65:55-60. [PMID: 35820297 PMCID: PMC9284452 DOI: 10.1016/j.breast.2022.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 07/03/2022] [Accepted: 07/04/2022] [Indexed: 11/25/2022] Open
Abstract
Background The association between breast cancer patients with a TP53 pathogenic variant and risk of local recurrence and contralateral breast cancer remains largely unknown. Methods The study population of 11093 patients was derived from two cohorts at the Breast Center of Peking University Cancer Hospital in China from November 2003, to March 2018. TP53 germline variants were determined for all patients. Results In the study, forty-one (0.37%) carried a TP53 germline pathogenic variant, and 11052 were non-carriers (99.63%). Nineteen TP53 carriers (46.3%) and 4173 non-carriers (37.8%) were treated with breast-conserving therapy (BCT), while the remaining were treated with mastectomy. After a median follow-up of 6.7 years, the rate of ipsilateral breast tumor recurrence (IBTR) in TP53 carriers was significantly higher than that in non-carriers when treated with BCT (21.1% vs 3.8%, P = 0.006). No difference in the rate of IBTR was found between TP53 carriers and non-carriers when treated with mastectomy (0.0% vs 2.6%, P = 1.0). Furthermore, the rate of IBTR in TP53 carriers treated with BCT was significantly higher than that in those treated with mastectomy (21.1% vs 0.0%, P = 0.038). The 10-year cumulative risk of contralateral breast cancer in TP53 carriers was significantly higher than that in non-carriers (17.9% vs 3.6%, hazard ratio (HR) = 7.0, 95% CI: 3.3–14.9, P < 0.001). Conclusions Patients with TP53 variants have a high risk of IBTR when treated with BCT, and exhibit a very high risk of contralateral breast cancer. TP53 carriers may not be suitable for BCT and prophylactic contralateral mastectomy might be considered. Patients with a TP53 variant have a high risk of IBTR when treated with BCT. TP53 carriers exhibit a very high risk of contralateral breast cancer. TP53 carriers may not be suitable for BCT. Prophylactic contralateral mastectomy may be considered for TP53 carriers.
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42
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Penkert J, Strüwe FJ, Dutzmann CM, Doergeloh BB, Montellier E, Freycon C, Keymling M, Schlemmer HP, Sänger B, Hoffmann B, Gerasimov T, Blattmann C, Fetscher S, Frühwald M, Hettmer S, Kordes U, Ridola V, Kroiss Benninger S, Mastronuzzi A, Schott S, Nees J, Prokop A, Redlich A, Seidel MG, Zimmermann S, Pajtler KW, Pfister SM, Hainaut P, Kratz CP. Genotype-phenotype associations within the Li-Fraumeni spectrum: a report from the German Registry. J Hematol Oncol 2022; 15:107. [PMID: 35974385 PMCID: PMC9382737 DOI: 10.1186/s13045-022-01332-1] [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: 06/27/2022] [Accepted: 08/01/2022] [Indexed: 11/10/2022] Open
Abstract
Li-Fraumeni syndrome (LFS) is a cancer predisposition syndrome caused by pathogenic TP53 variants. The condition represents one of the most relevant genetic causes of cancer in children and adults due to its frequency and high cancer risk. The term Li-Fraumeni spectrum reflects the evolving phenotypic variability of the condition. Within this spectrum, patients who meet specific LFS criteria are diagnosed with LFS, while patients who do not meet these criteria are diagnosed with attenuated LFS. To explore genotype-phenotype correlations we analyzed 141 individuals from 94 families with pathogenic TP53 variants registered in the German Cancer Predisposition Syndrome Registry. Twenty-one (22%) families had attenuated LFS and 73 (78%) families met the criteria of LFS. NULL variants occurred in 32 (44%) families with LFS and in two (9.5%) families with attenuated LFS (P value < 0.01). Kato partially functional variants were present in 10 out of 53 (19%) families without childhood cancer except adrenocortical carcinoma (ACC) versus 0 out of 41 families with childhood cancer other than ACC alone (P value < 0.01). Our study suggests genotype-phenotype correlations encouraging further analyses.
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Affiliation(s)
- Judith Penkert
- Pediatric Hematology and Oncology, Hannover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany.,Department of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Farina J Strüwe
- Pediatric Hematology and Oncology, Hannover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany
| | - Christina M Dutzmann
- Pediatric Hematology and Oncology, Hannover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany
| | - Beate B Doergeloh
- Pediatric Hematology and Oncology, Hannover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany
| | - Emilie Montellier
- Univ. Grenoble Alpes, Inserm 1209, CNRS 5309, Institute for Advanced Biosciences, F38000, Grenoble, France
| | - Claire Freycon
- Univ. Grenoble Alpes, Inserm 1209, CNRS 5309, Institute for Advanced Biosciences, F38000, Grenoble, France.,Department of Pediatrics, Grenoble Alpes University Hospital, Grenoble, France
| | - Myriam Keymling
- Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Birte Sänger
- Pediatric Hematology and Oncology, Hannover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany
| | - Beatrice Hoffmann
- Pediatric Hematology and Oncology, Hannover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany
| | - Tanja Gerasimov
- Pediatric Hematology and Oncology, Hannover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany
| | - Claudia Blattmann
- Department of Pediatric Oncology, Hematology and Immunology, Olgahospital, Klinikum Stuttgart, Stuttgart, Germany
| | | | - Michael Frühwald
- Paediatric and Adolescent Medicine, University Medical Center Augsburg, Augsburg, Germany
| | - Simone Hettmer
- Division of Pediatric Hematology and Oncology, Department of Pediatric and Adolescent Medicine, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany
| | - Uwe Kordes
- Department of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Vita Ridola
- Department of Pediatric Oncology and Hematology, MITERA Children's Hospital, Athens, Greece
| | | | - Angela Mastronuzzi
- Department of Haematology, Oncology, Cell Therapy, Gene Therapies and Hemopoietic Transplant, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Sarah Schott
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
| | - Juliane Nees
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
| | - Aram Prokop
- Department of Pediatric Hematology/Oncology, Helios Clinic Schwerin, Schwerin, Germany.,Medical School Hamburg (MSH), University of Applied Sciences and Medical University, Hamburg, Germany.,Department of Pediatric Hematology and Oncology, Children's Hospital, Cologne, Germany
| | - Antje Redlich
- Pediatric Oncology Department, Otto von Guericke University Children's Hospital, Magdeburg, Germany
| | - Markus G Seidel
- Division of Pediatric Hematology-Oncology, Department of Pediatrics and Adolescent Medicine, Medical University of Graz, Graz, Austria
| | | | - Kristian W Pajtler
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.,Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany.,Department of Pediatric Hematology and Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Stefan M Pfister
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.,Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany.,Department of Pediatric Hematology and Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Pierre Hainaut
- Univ. Grenoble Alpes, Inserm 1209, CNRS 5309, Institute for Advanced Biosciences, F38000, Grenoble, France
| | - Christian P Kratz
- Pediatric Hematology and Oncology, Hannover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany.
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43
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Ceyhan-Birsoy O. Germline Testing for the Evaluation of Hereditary Cancer Predisposition. Clin Lab Med 2022; 42:497-506. [DOI: 10.1016/j.cll.2022.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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44
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Li–Fraumeni Syndrome: Mutation of TP53 Is a Biomarker of Hereditary Predisposition to Tumor: New Insights and Advances in the Treatment. Cancers (Basel) 2022; 14:cancers14153664. [PMID: 35954327 PMCID: PMC9367397 DOI: 10.3390/cancers14153664] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 07/23/2022] [Accepted: 07/26/2022] [Indexed: 12/10/2022] Open
Abstract
Simple Summary Li–Fraumeni Syndrome (LFS) is a rare tumor predisposition syndrome in which the tumor suppressor TP53 gene is mutated in the germ cell population. LFS patients develop a broad spectrum of cancers in their lifetime. The risk to develop these tumors is not decreased by any type of treatment and if the analysis of the TP53 mutational status in the family members was not possible, tumors are often diagnosed in already advanced stages. This review aims to report the evidence for novel mechanisms of tumor onset related to germline TP53 mutations and possible treatments. Abstract Li–Fraumeni syndrome (LFS) is a rare familial tumor predisposition syndrome with autosomal dominant inheritance, involving germline mutations of the TP53 tumor suppressor gene. The most frequent tumors that arise in patients under the age of 45 are osteosarcomas, soft-tissue sarcomas, breast tumors in young women, leukemias/lymphomas, brain tumors, and tumors of the adrenal cortex. To date, no other gene mutations have been associated with LFS. The diagnosis is usually confirmed by genetic testing for the identification of TP53 mutations; therefore, these mutations are considered the biomarkers associated with the tumor spectrum of LFS. Here, we aim to review novel molecular mechanisms involved in the oncogenic functions of mutant p53 in LFS and to discuss recent new diagnostic and therapeutic approaches exploiting TP53 mutations as biomarkers and druggable targets.
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45
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Fitzpatrick MJ, Boiocchi L, Fathi AT, Brunner AM, Hasserjian RP, Nardi V. Correlation of p53 immunohistochemistry with
TP53
mutational status and overall survival in newly diagnosed acute myeloid leukemia. Histopathology 2022; 81:496-510. [DOI: 10.1111/his.14726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 06/28/2022] [Accepted: 07/10/2022] [Indexed: 11/26/2022]
Affiliation(s)
| | - Leonardo Boiocchi
- Department of Pathology and Laboratory Medicine Memorial Sloan Kettering Cancer Center New York NY USA
| | - Amir T. Fathi
- Department of Hematology/Oncology Massachusetts General Hospital Boston MA USA
| | - Andrew M. Brunner
- Department of Hematology/Oncology Massachusetts General Hospital Boston MA USA
| | | | - Valentina Nardi
- Department of Pathology Massachusetts General Hospital Boston MA USA
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46
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Identification of Spliceogenic Variants beyond Canonical GT-AG Splice Sites in Hereditary Cancer Genes. Int J Mol Sci 2022; 23:ijms23137446. [PMID: 35806449 PMCID: PMC9267136 DOI: 10.3390/ijms23137446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 06/29/2022] [Accepted: 07/01/2022] [Indexed: 02/01/2023] Open
Abstract
Pathogenic/likely pathogenic variants in susceptibility genes that interrupt RNA splicing are a well-documented mechanism of hereditary cancer syndromes development. However, if RNA studies are not performed, most of the variants beyond the canonical GT-AG splice site are characterized as variants of uncertain significance (VUS). To decrease the VUS burden, we have bioinformatically evaluated all novel VUS detected in 732 consecutive patients tested in the routine genetic counseling process. Twelve VUS that were predicted to cause splicing defects were selected for mRNA analysis. Here, we report a functional characterization of 12 variants located beyond the first two intronic nucleotides using RNAseq in APC, ATM, FH, LZTR1, MSH6, PALB2, RAD51C, and TP53 genes. Based on the analysis of mRNA, we have successfully reclassified 50% of investigated variants. 25% of variants were downgraded to likely benign, whereas 25% were upgraded to likely pathogenic leading to improved clinical management of the patient and the family members.
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47
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Tallis E, Scollon S, Ritter DI, Plon SE. Evolution of germline TP53 variant classification in children with cancer. Cancer Genet 2022; 264-265:29-32. [PMID: 35306447 PMCID: PMC9133135 DOI: 10.1016/j.cancergen.2022.02.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 02/24/2022] [Accepted: 02/28/2022] [Indexed: 12/13/2022]
Abstract
Li-Fraumeni syndrome, caused by germline pathogenic variants in TP53, results in susceptibility to multiple cancers. Variants of uncertain significance (VUS) and reclassification of variants over time pose management concerns given improved survival with cancer surveillance for LFS patients. We describe the experience of TP53 variant reclassification at a pediatric cancer center. METHODS We reviewed medical records (2010-2019) of 756 patients seen in Texas Children's Cancer Genetics Clinic. We noted initial TP53 classification and any reclassifications. We then classified TP53 variants following ClinGen TP53 variant curation expert panel recommendations using data from ClinVar, medical literature and IARC database. RESULTS Of 234 patients tested for TP53, 27 (11.5%) reports contained pathogenic/likely pathogenic (P/LP) variants and 7 (3)% contained VUS. By January 2022, 4 of 6 unique VUS and 2 of 16 unique P/LP variants changed interpretations in ClinVar. Reinterpretation of these 4 VUS in ClinVar matched clinical decision at the time of initial report. Applying TP53 VCEP specifications classified 3 VUS to P/LP/benign, and one pathogenic variant to likely benign. CONCLUSIONS Planned review of variant significance is essential, especially for patients with high probability of LFS.
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Affiliation(s)
- E Tallis
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
| | - S Scollon
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States; Texas Children's Cancer Center, Texas Children's Hospital, Houston, TX, United States
| | - D I Ritter
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States; Texas Children's Cancer Center, Texas Children's Hospital, Houston, TX, United States
| | - S E Plon
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States; Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States; Texas Children's Cancer Center, Texas Children's Hospital, Houston, TX, United States.
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48
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Cancer-related Mutations with Local or Long-range Effects on an Allosteric Loop of p53. J Mol Biol 2022; 434:167663. [PMID: 35659507 DOI: 10.1016/j.jmb.2022.167663] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 05/19/2022] [Accepted: 05/25/2022] [Indexed: 12/31/2022]
Abstract
The tumor protein 53 (p53) is involved in transcription-dependent and independent processes. Several p53 variants related to cancer have been found to impact protein stability. Other variants, on the contrary, might have little impact on structural stability and have local or long-range effects on the p53 interactome. Our group previously identified a loop in the DNA binding domain (DBD) of p53 (residues 207-213) which can recruit different interactors. Experimental structures of p53 in complex with other proteins strengthen the importance of this interface for protein-protein interactions. We here characterized with structure-based approaches somatic and germline variants of p53 which could have a marginal effect in terms of stability and act locally or allosterically on the region 207-213 with consequences on the cytosolic functions of this protein. To this goal, we studied 1132 variants in the p53 DBD with structure-based approaches, accounting also for protein dynamics. We focused on variants predicted with marginal effects on structural stability. We then investigated each of these variants for their impact on DNA binding, dimerization of the p53 DBD, and intramolecular contacts with the 207-213 region. Furthermore, we identified variants that could modulate long-range the conformation of the region 207-213 using a coarse-grain model for allostery and all-atom molecular dynamics simulations. Our predictions have been further validated using enhanced sampling methods for 15 variants. The methodologies used in this study could be more broadly applied to other p53 variants or cases where conformational changes of loop regions are essential in the function of disease-related proteins.
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49
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Deneka AY, Baca Y, Serebriiskii IG, Nicolas E, Parker MI, Nguyen TT, Xiu J, Korn WM, Demeure MJ, Wise-Draper T, Sukari A, Burtness B, Golemis EA. Association of TP53 and CDKN2A Mutation Profile with Tumor Mutation Burden in Head and Neck Cancer. Clin Cancer Res 2022; 28:1925-1937. [PMID: 35491653 PMCID: PMC9186806 DOI: 10.1158/1078-0432.ccr-21-4316] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 01/21/2022] [Accepted: 02/23/2022] [Indexed: 01/31/2023]
Abstract
PURPOSE Head and neck squamous cell carcinoma (HNSCC) is a frequently devastating cancer that affects more than a half million people annually worldwide. Although some cases arise from infection with human papillomavirus (HPV), HPV-negative HNSCC is more common, and associated with worse outcome. Advanced HPV-negative HNSCC may be treated with surgery, chemoradiation, targeted therapy, or immune checkpoint inhibition (ICI). There is considerable need for predictive biomarkers for these treatments. Defects in DNA repair capacity and loss of cell-cycle checkpoints sensitize tumors to cytotoxic therapies, and can contribute to phenotypes such as elevated tumor mutation burden (TMB), associated with response to ICI. Mutation of the tumor suppressors and checkpoint mediators TP53 and CDKN2A is common in HPV-negative HNSCC. EXPERIMENTAL DESIGN To gain insight into the relation of the interaction of TP53 and CDKN2A mutations with TMB in HNSCC, we have analyzed genomic data from 1,669 HPV-negative HNSCC tumors with multiple criteria proposed for assessing the damaging effect of TP53 mutations. RESULTS Data analysis established the TP53 and CDKN2A mutation profiles in specific anatomic subsites and suggested that specific categories of TP53 mutations are more likely to associate with CDKN2A mutation or high TMB based on tumor subsite. Intriguingly, the pattern of hotspot mutations in TP53 differed depending on the presence or absence of a cooccurring CDKN2A mutation. CONCLUSIONS These data emphasize the role of tumor subsite in evaluation of mutational profiles in HNSCC, and link defects in TP53 and CDKN2A to elevated TMB levels in some tumor subgroups.
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Affiliation(s)
- Alexander Y. Deneka
- Molecular Therapeutics Program, Fox Chase Cancer Center, Philadelphia, PA 19111
| | | | - Ilya G. Serebriiskii
- Molecular Therapeutics Program, Fox Chase Cancer Center, Philadelphia, PA 19111;,Kazan Federal University, 420000, Kazan, Russian Federation
| | - Emmanuelle Nicolas
- Molecular Therapeutics Program, Fox Chase Cancer Center, Philadelphia, PA 19111
| | - Mitchell I. Parker
- Molecular Therapeutics Program, Fox Chase Cancer Center, Philadelphia, PA 19111;,Drexel University College of Medicine, Philadelphia, PA 19102
| | - Theodore T. Nguyen
- Molecular Therapeutics Program, Fox Chase Cancer Center, Philadelphia, PA 19111;,Drexel University College of Medicine, Philadelphia, PA 19102
| | | | | | - Michael J. Demeure
- Precision Medicine Program, Hoag Family Cancer Institute, Newport Beach, CA
| | - Trisha Wise-Draper
- Department of Internal Medicine, Division of Hematology/Oncology, University of Cincinnati, Cincinnati, OH
| | - Ammar Sukari
- Department of Oncology, Karmanos Cancer Institute/Wayne State University, Detroit, Michigan, USA
| | - Barbara Burtness
- Section of Medical Oncology, Department of Internal Medicine, and Yale Cancer Center, Yale University School of Medicine, New Haven, CT 06520
| | - Erica A. Golemis
- Molecular Therapeutics Program, Fox Chase Cancer Center, Philadelphia, PA 19111;,Lewis Katz School of Medicine, Department of Cancer and Cellular Biology, Philadelphia, PA 19140,Correspondence should be directed to: Erica A. Golemis, Fox Chase Cancer Center, 333 Cottman Ave, Philadelphia, PA 19111 USA, , (215) 728-2860
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50
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Horak P, Griffith M, Danos AM, Pitel BA, Madhavan S, Liu X, Chow C, Williams H, Carmody L, Barrow-Laing L, Rieke D, Kreutzfeldt S, Stenzinger A, Tamborero D, Benary M, Rajagopal PS, Ida CM, Lesmana H, Satgunaseelan L, Merker JD, Tolstorukov MY, Campregher PV, Warner JL, Rao S, Natesan M, Shen H, Venstrom J, Roy S, Tao K, Kanagal-Shamanna R, Xu X, Ritter DI, Pagel K, Krysiak K, Dubuc A, Akkari YM, Li XS, Lee J, King I, Raca G, Wagner AH, Li MM, Plon SE, Kulkarni S, Griffith OL, Chakravarty D, Sonkin D. Standards for the classification of pathogenicity of somatic variants in cancer (oncogenicity): Joint recommendations of Clinical Genome Resource (ClinGen), Cancer Genomics Consortium (CGC), and Variant Interpretation for Cancer Consortium (VICC). Genet Med 2022; 24:986-998. [PMID: 35101336 PMCID: PMC9081216 DOI: 10.1016/j.gim.2022.01.001] [Citation(s) in RCA: 65] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 12/22/2021] [Accepted: 01/03/2022] [Indexed: 01/21/2023] Open
Abstract
PURPOSE Several professional societies have published guidelines for the clinical interpretation of somatic variants, which specifically address diagnostic, prognostic, and therapeutic implications. Although these guidelines for the clinical interpretation of variants include data types that may be used to determine the oncogenicity of a variant (eg, population frequency, functional, and in silico data or somatic frequency), they do not provide a direct, systematic, and comprehensive set of standards and rules to classify the oncogenicity of a somatic variant. This insufficient guidance leads to inconsistent classification of rare somatic variants in cancer, generates variability in their clinical interpretation, and, importantly, affects patient care. Therefore, it is essential to address this unmet need. METHODS Clinical Genome Resource (ClinGen) Somatic Cancer Clinical Domain Working Group and ClinGen Germline/Somatic Variant Subcommittee, the Cancer Genomics Consortium, and the Variant Interpretation for Cancer Consortium used a consensus approach to develop a standard operating procedure (SOP) for the classification of oncogenicity of somatic variants. RESULTS This comprehensive SOP has been developed to improve consistency in somatic variant classification and has been validated on 94 somatic variants in 10 common cancer-related genes. CONCLUSION The comprehensive SOP is now available for classification of oncogenicity of somatic variants.
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Affiliation(s)
- Peter Horak
- National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - Malachi Griffith
- Washington University School of Medicine in St. Louis, St. Louis, MO
| | - Arpad M Danos
- Washington University School of Medicine in St. Louis, St. Louis, MO
| | | | | | - Xuelu Liu
- Dana-Farber Cancer Institute, Boston, MA
| | - Cynthia Chow
- BC Cancer Agency, Vancouver, British Columbia, Canada
| | | | - Leigh Carmody
- The Jackson Laboratory for Genomic Medicine, Farmington, CT
| | | | - Damian Rieke
- Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Simon Kreutzfeldt
- National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | | | | | - Padma Sheila Rajagopal
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | | | - Harry Lesmana
- Genomic Medicine Institute, Cleveland Clinic Lerner Research Institute, Cleveland, OH
| | | | - Jason D Merker
- UNC School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | | | | | - Shruti Rao
- Georgetown University Medical Center, Washington, DC
| | - Maya Natesan
- Washington University School of Medicine in St. Louis, St. Louis, MO
| | - Haolin Shen
- Washington University School of Medicine in St. Louis, St. Louis, MO
| | | | - Somak Roy
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Kayoko Tao
- National Cancer Center Hospital, Tokyo, Japan
| | | | | | | | - Kym Pagel
- Johns Hopkins University, Baltimore, MD
| | - Kilannin Krysiak
- Washington University School of Medicine in St. Louis, St. Louis, MO
| | - Adrian Dubuc
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | | | | | - Jennifer Lee
- Frederick National Laboratory for Cancer Research, National Cancer Institute, Rockville, MD
| | - Ian King
- University Health Network, Toronto, Ontario, Canada
| | - Gordana Raca
- University of Southern California, Los Angeles, CA
| | - Alex H Wagner
- Nationwide Children's Hospital, Columbus, OH; The Ohio State University College of Medicine, Columbus, OH
| | - Marylin M Li
- Children's Hospital of Philadelphia, Philadelphia, PA
| | | | | | - Obi L Griffith
- Washington University School of Medicine in St. Louis, St. Louis, MO
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