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Corredor JL, Dodd-Eaton EB, Woodman-Ross J, Woodson A, Nguyen NH, Peng G, Green S, Gutierrez AM, Arun BK, Wang W. Performance of LFSPRO TP53 germline carrier risk predictions compared to standard genetic counseling practice on prospectively collected probands. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.09.24310095. [PMID: 39040185 PMCID: PMC11261932 DOI: 10.1101/2024.07.09.24310095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/24/2024]
Abstract
Purpose Current clinical guidelines for genetic testing for Li-Fraumeni Syndrome (LFS) have many limitations, primarily the criteria don't consider detailed personal and family history information and may miss many individuals with LFS. A personalized risk assessment tool, LFSPRO, was created to estimate a proband's risk for LFS based on personal and family history information. The purpose of this study is to compare LFSPRO to existing clinical criteria to determine if LFSPRO can outperform these tools. Additionally, we gauged genetic counselors' (GCs) experience using LFSPRO for their patients. Methods Between December 2021 and March 2024, GCs identified patients concerning for LFS based on the patients' personal and family history information. This information was entered into LFSPRO to predict the risk to have a pathogenic/pathogenic (LP/P) germline TP53 variant. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) was compared between LFSPRO and Chompret criteria. Select GCs were asked to fill out surveys regarding their experience using LFSPRO following their genetic counseling appointments. Results LFSPRO's sensitivity and specificity were 0.529 and 0.781 compared to Chompret's respective 0.235 and 0.677. Additionally, LFSPRO had a positive predictive value (PPV) of 0.30 compared to Chompret's 0.114. LFSPRO's risk prediction was concordant with genetic testing results in 75% of probands. Eighty-one percent of GC surveys reported LFSPRO being concordant with the GC's expectations and 75% would feel comfortable sharing the results with patients. Conclusion LFSPRO showed improved sensitivity and specificity compared to Chompret criteria and GCs report a positive experience with LFSPRO. LFSPRO can be used to increase access to genetic testing for patients at risk for LFS and could help healthcare providers give more direct risk assessments regarding LFS testing and management for patients.
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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] [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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Apostolou P, Dellatola V, Papathanasiou A, Kalfakakou D, Fountzilas E, Tryfonopoulos D, Karageorgopoulou S, Yannoukakos D, Konstantopoulou I, Fostira F. Genetic Testing of Breast Cancer Patients with Very Early-Onset Breast Cancer (≤30 Years) Yields a High Rate of Germline Pathogenic Variants, Mainly in the BRCA1, TP53, and BRCA2 Genes. Cancers (Basel) 2024; 16:2368. [PMID: 39001430 PMCID: PMC11240773 DOI: 10.3390/cancers16132368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Revised: 06/21/2024] [Accepted: 06/25/2024] [Indexed: 07/16/2024] Open
Abstract
Early-onset breast cancer constitutes a major criterion for genetic testing referral. Nevertheless, studies focusing on breast cancer patients (≤30 years) are limited. We investigated the contribution and spectrum of known breast-cancer-associated genes in 267 Greek women with breast cancer ≤30 years while monitoring their clinicopathological characteristics and outcomes. In this cohort, a significant proportion (39.7%) carried germline pathogenic variants (PVs) distributed in 8 genes. The majority, namely 36.7%, involved BRCA1, TP53, and BRCA2. PVs in BRCA1 were the most prevalent (28.1%), followed by TP53 (4.5%) and BRCA2 (4.1%) PVs. The contribution of PVs in CHEK2, ATM, PALB2, PTEN, and RAD51C was limited to 3%. In the patient group ≤26 years, TP53 PVs were significantly higher compared to the group 26-30 years (p = 0.0023). A total of 74.8% of TP53 carriers did not report a family history of cancer. Carriers of PVs receiving neoadjuvant chemotherapy showed an improved event-free survival (p < 0.0001) compared to non-carriers. Overall, many women with early-onset breast cancer carry clinically actionable variants, mainly in the BRCA1/2 and TP53 genes. The inclusion of timely testing of TP53 in these patients provides essential information for appropriate clinical management. This is important for countries where reimbursement involves the cost of genetic analysis of BRCA1/2 only.
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Affiliation(s)
- Paraskevi Apostolou
- Human Molecular Genetics Laboratory, National Center for Scientific Research "Demokritos", 15341 Athens, Greece
| | - Vasiliki Dellatola
- Human Molecular Genetics Laboratory, National Center for Scientific Research "Demokritos", 15341 Athens, Greece
| | - Athanasios Papathanasiou
- Human Molecular Genetics Laboratory, National Center for Scientific Research "Demokritos", 15341 Athens, Greece
| | | | - Elena Fountzilas
- Department of Medical Oncology, St. Lukes's Hospital, 55236 Thessaloniki, Greece
- European University Cyprus, 6, Diogenes 2404 Engomi, Nicosia 1516, Cyprus
| | | | | | - Drakoulis Yannoukakos
- Human Molecular Genetics Laboratory, National Center for Scientific Research "Demokritos", 15341 Athens, Greece
| | - Irene Konstantopoulou
- Human Molecular Genetics Laboratory, National Center for Scientific Research "Demokritos", 15341 Athens, Greece
| | - Florentia Fostira
- Human Molecular Genetics Laboratory, National Center for Scientific Research "Demokritos", 15341 Athens, Greece
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Nguyen NH, Dodd-Eaton EB, Corredor JL, Woodman-Ross J, Green S, Gutierrez AM, Arun BK, Wang W. Validating Risk Prediction Models for Multiple Primaries and Competing Cancer Outcomes in Families With Li-Fraumeni Syndrome Using Clinically Ascertained Data. J Clin Oncol 2024; 42:2186-2195. [PMID: 38569124 PMCID: PMC11191065 DOI: 10.1200/jco.23.01926] [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: 09/04/2023] [Revised: 12/02/2023] [Accepted: 02/07/2024] [Indexed: 04/05/2024] Open
Abstract
PURPOSE There exists a barrier between developing and disseminating risk prediction models in clinical settings. We hypothesize that this barrier may be lifted by demonstrating the utility of these models using incomplete data that are collected in real clinical sessions, as compared with the commonly used research cohorts that are meticulously collected. MATERIALS AND METHODS Genetic counselors (GCs) collect family history when patients (ie, probands) come to MD Anderson Cancer Center for risk assessment of Li-Fraumeni syndrome, a genetic disorder characterized by deleterious germline mutations in the TP53 gene. Our clinical counseling-based (CCB) cohort consists of 3,297 individuals across 124 families (522 cases of single primary cancer and 125 cases of multiple primary cancers). We applied our software suite LFSPRO to make risk predictions and assessed performance in discrimination using AUC and in calibration using observed/expected (O/E) ratio. RESULTS For prediction of deleterious TP53 mutations, we achieved an AUC of 0.78 (95% CI, 0.71 to 0.85) and an O/E ratio of 1.66 (95% CI, 1.53 to 1.80). Using the LFSPRO.MPC model to predict the onset of the second cancer, we obtained an AUC of 0.70 (95% CI, 0.58 to 0.82). Using the LFSPRO.CS model to predict the onset of different cancer types as the first primary, we achieved AUCs between 0.70 and 0.83 for sarcoma, breast cancer, or other cancers combined. CONCLUSION We describe a study that fills in the critical gap in knowledge for the utility of risk prediction models. Using a CCB cohort, our previously validated models have demonstrated good performance and outperformed the standard clinical criteria. Our study suggests that better risk counseling may be achieved by GCs using these already-developed mathematical models.
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Affiliation(s)
- Nam H. Nguyen
- The University of Texas MD Anderson Cancer Center, Department of Bioinformatics and Computation Biology, Houston, TX
- Rice University, Department of Statistics, Houston, TX
| | - Elissa B. Dodd-Eaton
- The University of Texas MD Anderson Cancer Center, Department of Bioinformatics and Computation Biology, Houston, TX
| | - Jessica L. Corredor
- The University of Texas MD Anderson Cancer Center, Department of Clinical Cancer Genetics, Houston, TX
| | - Jacynda Woodman-Ross
- The University of Texas MD Anderson Cancer Center, Department of Clinical Cancer Genetics, Houston, TX
| | - Sierra Green
- The University of Texas MD Anderson Cancer Center, Department of Clinical Cancer Genetics, Houston, TX
| | - Angelica M. Gutierrez
- The University of Texas MD Anderson Cancer Center, Department of Breast Medical Oncology, Houston, TX
| | - Banu K. Arun
- The University of Texas MD Anderson Cancer Center, Department of Clinical Cancer Genetics, Houston, TX
- The University of Texas MD Anderson Cancer Center, Department of Breast Medical Oncology, Houston, TX
| | - Wenyi Wang
- The University of Texas MD Anderson Cancer Center, Department of Bioinformatics and Computation Biology, Houston, TX
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Nguyen NH, Dodd-Eaton EB, Peng G, Corredor JL, Jiao W, Woodman-Ross J, Arun BK, Wang W. LFSPROShiny: An Interactive R/Shiny App for Prediction and Visualization of Cancer Risks in Families With Deleterious Germline TP53 Mutations. JCO Clin Cancer Inform 2024; 8:e2300167. [PMID: 38346271 PMCID: PMC10871774 DOI: 10.1200/cci.23.00167] [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: 08/30/2023] [Revised: 11/13/2023] [Accepted: 12/19/2023] [Indexed: 02/15/2024] Open
Abstract
PURPOSE LFSPRO is an R library that implements risk prediction models for Li-Fraumeni syndrome (LFS), a genetic disorder characterized by deleterious germline mutations in the TP53 gene. To facilitate the use of these models in clinics, we developed LFSPROShiny, an interactive R/Shiny interface of LFSPRO that allows genetic counselors (GCs) to perform risk predictions without any programming components and further visualize the risk profiles of their patients to aid the decision-making process. METHODS LFSPROShiny implements two models that have been validated on multiple LFS patient cohorts: a competing risk model that predicts cancer-specific risks for the first primary and a recurrent-event model that predicts the risk of a second primary tumor. Starting with a visualization template, we keep regular contact with GCs, who ran LFSPROShiny in their counseling sessions, to collect feedback and discuss potential improvement. On receiving the family history as input, LFSPROShiny renders the family into a pedigree and displays the risk estimates of the family members in a tabular format. The software offers interactive overlaid side-by-side bar charts for visualization of the patients' cancer risks relative to the general population. RESULTS We walk through a detailed example to illustrate how GCs can run LFSPROShiny in clinics from data preparation to downstream analyses and interpretation of results with an emphasis on the utilities that LFSPROShiny provides to aid decision making. CONCLUSION Since December 2021, we have applied LFSPROShiny to over 100 families from counseling sessions at the MD Anderson Cancer Center. Our study suggests that software tools with easy-to-use interfaces are crucial for the dissemination of risk prediction models in clinical settings, hence serving as a guideline for future development of similar models.
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Affiliation(s)
- Nam H Nguyen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
- Department of Statistics, Rice University, Houston, TX
| | - Elissa B Dodd-Eaton
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Gang Peng
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Jessica L Corredor
- Department of Clinical Cancer Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Wenwei Jiao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
- Department of Statistics, North Caroline State University, Raleigh, NC
| | - Jacynda Woodman-Ross
- Department of Clinical Cancer Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Banu K Arun
- Department of Clinical Cancer Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Wenyi Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
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Arai H, Matsui H, Chi S, Utsu Y, Masuda S, Aotsuka N, Minami Y. Germline Variants and Characteristic Features of Hereditary Hematological Malignancy Syndrome. Int J Mol Sci 2024; 25:652. [PMID: 38203823 PMCID: PMC10779750 DOI: 10.3390/ijms25010652] [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: 11/07/2023] [Revised: 12/25/2023] [Accepted: 12/29/2023] [Indexed: 01/12/2024] Open
Abstract
Due to the proliferation of genetic testing, pathogenic germline variants predisposing to hereditary hematological malignancy syndrome (HHMS) have been identified in an increasing number of genes. Consequently, the field of HHMS is gaining recognition among clinicians and scientists worldwide. Patients with germline genetic abnormalities often have poor outcomes and are candidates for allogeneic hematopoietic stem cell transplantation (HSCT). However, HSCT using blood from a related donor should be carefully considered because of the risk that the patient may inherit a pathogenic variant. At present, we now face the challenge of incorporating these advances into clinical practice for patients with myelodysplastic syndrome (MDS) or acute myeloid leukemia (AML) and optimizing the management and surveillance of patients and asymptomatic carriers, with the limitation that evidence-based guidelines are often inadequate. The 2016 revision of the WHO classification added a new section on myeloid malignant neoplasms, including MDS and AML with germline predisposition. The main syndromes can be classified into three groups. Those without pre-existing disease or organ dysfunction; DDX41, TP53, CEBPA, those with pre-existing platelet disorders; ANKRD26, ETV6, RUNX1, and those with other organ dysfunctions; SAMD9/SAMD9L, GATA2, and inherited bone marrow failure syndromes. In this review, we will outline the role of the genes involved in HHMS in order to clarify our understanding of HHMS.
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Affiliation(s)
- Hironori Arai
- Department of Hematology, National Cancer Center Hospital East, Kashiwa 277-8577, Japan; (H.A.); (S.C.)
- Department of Hematology and Oncology, Japanese Red Cross Narita Hospital, Iidacho, Narita 286-0041, Japan; (Y.U.); (S.M.); (N.A.)
| | - Hirotaka Matsui
- Department of Laboratory Medicine, National Cancer Center Hospital, Tsukiji, Chuoku 104-0045, Japan;
- Department of Medical Oncology and Translational Research, Graduate School of Medical Sciences, Kumamoto University, Kumamoto 860-8665, Japan
| | - SungGi Chi
- Department of Hematology, National Cancer Center Hospital East, Kashiwa 277-8577, Japan; (H.A.); (S.C.)
| | - Yoshikazu Utsu
- Department of Hematology and Oncology, Japanese Red Cross Narita Hospital, Iidacho, Narita 286-0041, Japan; (Y.U.); (S.M.); (N.A.)
| | - Shinichi Masuda
- Department of Hematology and Oncology, Japanese Red Cross Narita Hospital, Iidacho, Narita 286-0041, Japan; (Y.U.); (S.M.); (N.A.)
| | - Nobuyuki Aotsuka
- Department of Hematology and Oncology, Japanese Red Cross Narita Hospital, Iidacho, Narita 286-0041, Japan; (Y.U.); (S.M.); (N.A.)
| | - Yosuke Minami
- Department of Hematology, National Cancer Center Hospital East, Kashiwa 277-8577, Japan; (H.A.); (S.C.)
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Nguyen NH, Dodd-Eaton EB, Corredor JL, Woodman-Ross J, Green S, Hernandez ND, Gutierrez Barrera AM, Arun BK, Wang W. Validating risk prediction models for multiple primaries and competing cancer outcomes in families with Li-Fraumeni syndrome using clinically ascertained data at a single institute. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.31.23294849. [PMID: 37693464 PMCID: PMC10491358 DOI: 10.1101/2023.08.31.23294849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Purpose There exists a barrier between developing and disseminating risk prediction models in clinical settings. We hypothesize this barrier may be lifted by demonstrating the utility of these models using incomplete data that are collected in real clinical sessions, as compared to the commonly used research cohorts that are meticulously collected. Patients and methods Genetic counselors (GCs) collect family history when patients (i.e., probands) come to MD Anderson Cancer Center for risk assessment of Li-Fraumeni syndrome, a genetic disorder characterized by deleterious germline mutations in the TP53 gene. Our clinical counseling-based (CCB) cohort consists of 3,297 individuals across 124 families (522 cases of single primary cancer and 125 cases of multiple primary cancers). We applied our software suite LFSPRO to make risk predictions and assessed performance in discrimination using area under the curve (AUC), and in calibration using observed/expected (O/E) ratio. Results For prediction of deleterious TP53 mutations, we achieved an AUC of 0.81 (95% CI, 0.70 - 0.91) and an O/E ratio of 0.96 (95% CI, 0.70 - 1.21). Using the LFSPRO.MPC model to predict the onset of the second cancer, we obtained an AUC of 0.70 (95% CI, 0.58 - 0.82). Using the LFSPRO.CS model to predict the onset of different cancer types as the first primary, we achieved AUCs between 0.70 and 0.83 for sarcoma, breast cancer, or other cancers combined. Conclusion We describe a study that fills in the critical gap in knowledge for the utility of risk prediction models. Using a CCB cohort, our previously validated models have demonstrated good performance and outperformed the standard clinical criteria. Our study suggests better risk counseling may be achieved by GCs using these already-developed mathematical models.
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Affiliation(s)
- Nam H. Nguyen
- The University of Texas MD Anderson Cancer Center, Department of Bioinformatics and Computation Biology, Houston, TX
- Rice University, Department of Statistics, Houston, TX
| | - Elissa B. Dodd-Eaton
- The University of Texas MD Anderson Cancer Center, Department of Bioinformatics and Computation Biology, Houston, TX
| | - Jessica L. Corredor
- The University of Texas MD Anderson Cancer Center, Department of Clinical Cancer Genetics, Houston, TX
| | - Jacynda Woodman-Ross
- The University of Texas MD Anderson Cancer Center, Department of Clinical Cancer Genetics, Houston, TX
| | - Sierra Green
- The University of Texas MD Anderson Cancer Center, Department of Clinical Cancer Genetics, Houston, TX
| | - Nathaniel D. Hernandez
- The University of Texas MD Anderson Cancer Center, Department of Clinical Cancer Genetics, Houston, TX
| | | | - Banu K. Arun
- The University of Texas MD Anderson Cancer Center, Department of Breast Medical Oncology, Houston, TX
| | - Wenyi Wang
- The University of Texas MD Anderson Cancer Center, Department of Bioinformatics and Computation Biology, Houston, TX
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8
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Nguyen NH, Dodd-Eaton EB, Peng G, Corredor JL, Jiao W, Woodman-Ross J, Arun BK, Wang W. LFSPROShiny: an interactive R/Shiny app for prediction and visualization of cancer risks in families with deleterious germline TP53 mutations. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.11.23293956. [PMID: 37645796 PMCID: PMC10462184 DOI: 10.1101/2023.08.11.23293956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Purpose LFSPRO is an R library that implements risk prediction models for Li-Fraumeni syndrome (LFS), a genetic disorder characterized by deleterious germline mutations in the TP53 gene. To facilitate the use of these models in clinics, we developed LFSPROShiny, an interactive R/Shiny interface of LFSPRO that allows genetic counselors (GCs) to perform risk predictions without any programming components, and further visualize the risk profiles of their patients to aid the decision-making process. Methods LFSPROShiny implements two models that have been validated on multiple LFS patient cohorts: a competing-risk model that predicts cancer-specific risks for the first primary, and a recurrent-event model that predicts the risk of a second primary tumor. Starting with a visualization template, we keep regular contact with GCs, who ran LFSPROShiny in their counseling sessions, to collect feedback and discuss potential improvement. Upon receiving the family history as input, LFSPROShiny renders the family into a pedigree, and displays the risk estimates of the family members in a tabular format. The software offers interactive overlaid side-by-side bar charts for visualization of the patients' cancer risks relative to the general population. Results We walk through a detailed example to illustrate how GCs can run LFSPROShiny in clinics, from data preparation to downstream analyses and interpretation of results with an emphasis on the utilities that LFSPROShiny provides to aid decision making. Conclusion Since Dec 2021, we have applied LFSPROShiny to over 100 families from counseling sessions at MD Anderson Cancer Center. Our study suggests that software tools with easy-to-use interfaces are crucial for the dissemination of risk prediction models in clinical settings, hence serving as a guideline for future development of similar models.
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Affiliation(s)
- Nam H Nguyen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
- Department of Statistics, Rice University, Houston, TX
| | - Elissa B Dodd-Eaton
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Gang Peng
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Jessica L. Corredor
- Department of Clinical Cancer Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Wenwei Jiao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
- Department of Statistics, North Caroline State University, Raleigh, NC
| | - Jacynda Woodman-Ross
- Department of Clinical Cancer Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Banu K. Arun
- Department of Clinical Cancer Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Wenyi Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
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Papadimitriou DT, Stratakis CA, Kattamis A, Glentis S, Dimitrakakis C, Spyridis GP, Christopoulos P, Mastorakos G, Vlahos NF, Iacovidou N. A Novel Variant in the TP53 Gene Causing Li-Fraumeni Syndrome. CHILDREN (BASEL, SWITZERLAND) 2023; 10:1150. [PMID: 37508646 PMCID: PMC10378136 DOI: 10.3390/children10071150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 06/26/2023] [Accepted: 06/29/2023] [Indexed: 07/30/2023]
Abstract
Li-Fraumeni syndrome (LFS) is an autosomal dominant hereditary cancer syndrome associated with germline pathogenic variants in the tumor protein p53 (TP53) gene and elevated risk of a broad range of early-onset malignancies. Patients with LFS are at risk of a second and third primary tumor. A 15-month-old girl consulted for clitoromegaly and pubic hair. Adrenal ultrasound detected a large left adrenal tumor. Left total adrenalectomy confirmed adrenocortical carcinoma. Family history revealed multiple highly malignant neoplasms at an early age across five generations, and a genetic dominant trait seemed probable. Whole-genome sequencing was performed. Multiple members of the family were found positive for a novel likely pathogenic variant (c. 892delGinsTTT, p. Glu298PhefsX48, NM_000546.6) in the TP53 gene, causing the loss of normal protein function through non-sense-mediated mRNA decay. According to the PSV1 supporting criteria and the Auto PVS1 online tool this frameshift variant: hg19/17-7577045-TC-TAAA:NM_000546.6 has a very strong, definitive clinical validity for LFS with autosomal dominant inheritance. Proper guidance resulted in timely diagnosis of a second tumor (primary osteosarcoma) in the index case and in the early detection of breast and cervical cancer in her young mother. Patients with cancer predisposition syndromes like LFS require close multidisciplinary cancer surveillance and appropriate referral to expert centers.
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Affiliation(s)
- Dimitrios T Papadimitriou
- Endocrine Unit, Second Department of Obstetrics and Gynecology, Aretaieion Hospital, 11528 Athens, Greece
- Pediatric-Adolescent Endocrinology and Diabetes, Athens Medical Center, 15125 Marousi, Greece
| | - Constantine A Stratakis
- Section on Endocrinology & Genetics, The Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD), National Institutes of Health (NIH), Bethesda, MD 20814, USA
| | - Antonis Kattamis
- Division of Pediatric Hematology and Oncology, First Department of Pediatrics, National and Kapodistrian University of Athens, 11527 Athens, Greece
- 'Aghia Sophia' Children's Hospital ERN-Genturis Center, 11527 Athina, Greece
| | - Stavros Glentis
- Division of Pediatric Hematology and Oncology, First Department of Pediatrics, National and Kapodistrian University of Athens, 11527 Athens, Greece
- 'Aghia Sophia' Children's Hospital ERN-Genturis Center, 11527 Athina, Greece
| | - Constantine Dimitrakakis
- First Department of Obstetrics and Gynecology, Alexandra University Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - George P Spyridis
- Surgical Pediatric Oncology, Mitera Children's Hospital, 15123 Marousi, Greece
| | | | - George Mastorakos
- Endocrine Unit, Second Department of Obstetrics and Gynecology, Aretaieion Hospital, 11528 Athens, Greece
| | - Nikolaos F Vlahos
- Second Department of Obstetrics and Gynecology, Aretaieion Hospital, 11528 Athens, Greece
| | - Nicoletta Iacovidou
- Neonatal Department, Aretaieion Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece
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Kohut K, Morton K, Turner L, Shepherd J, Fenerty V, Woods L, Grimmett C, Eccles DM, Foster C. Patient decision support resources inform decisions about cancer susceptibility genetic testing and risk management: a systematic review of patient impact and experience. FRONTIERS IN HEALTH SERVICES 2023; 3:1092816. [PMID: 37395995 PMCID: PMC10311450 DOI: 10.3389/frhs.2023.1092816] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 04/26/2023] [Indexed: 07/04/2023]
Abstract
Background Patients with genetic cancer susceptibility are presented with complex management options involving difficult decisions, for example about genetic testing, treatment, screening and risk-reducing surgery/medications. This review sought to explore the experience of patients using decision support resources in this context, and the impact on decision-making outcomes. Methods Systematic review of quantitative, qualitative and mixed-methods studies involving adults with or without cancer who used a decision support resource pre- or post-genetic test for any cancer susceptibility. To gather a broad view of existing resources and gaps for development, digital or paper-based patient resources were included and not limited to decision aids. Narrative synthesis was used to summarise patient impact and experience. Results Thirty-six publications describing 27 resources were included. Heterogeneity of resources and outcome measurements highlighted the multiple modes of resource delivery and personal tailoring acceptable to and valued by patients. Impact on cognitive, emotional, and behavioural outcomes was mixed, but mainly positive. Findings suggested clear potential for quality patient-facing resources to be acceptable and useful. Conclusions Decision support resources about genetic cancer susceptibility are likely useful to support decision-making, but should be co-designed with patients according to evidence-based frameworks. More research is needed to study impact and outcomes, particularly in terms of longer term follow-up to identify whether patients follow through on decisions and whether any increased distress is transient. Innovative, streamlined resources are needed to scale up delivery of genetic cancer susceptibility testing for patients with cancer in mainstream oncology clinics. Tailored patient-facing decision aids should also be made available to patients identified as carriers of a pathogenic gene variant that increases future cancer risks, to complement traditional genetic counselling. Systematic Review Registration https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020220460, identifier: CRD42020220460.
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Affiliation(s)
- Kelly Kohut
- Centre for Psychosocial Research in Cancer: CentRIC, School of Health Sciences, University of Southampton, Southampton, United Kingdom
- Clinical Genetics, St George's University Hospitals NHS Foundation Trust, London, United Kingdom
| | - Kate Morton
- Centre for Psychosocial Research in Cancer: CentRIC, School of Health Sciences, University of Southampton, Southampton, United Kingdom
| | - Lesley Turner
- Centre for Psychosocial Research in Cancer: CentRIC, School of Health Sciences, University of Southampton, Southampton, United Kingdom
| | - Jonathan Shepherd
- Southampton Health Technology Assessments Centre, University of Southampton, Southampton, United Kingdom
| | - Vicky Fenerty
- Engagement Services, University of Southampton Library, University of Southampton, Southampton, United Kingdom
| | - Lois Woods
- Southampton Health Technology Assessments Centre, University of Southampton, Southampton, United Kingdom
| | - Chloe Grimmett
- Centre for Psychosocial Research in Cancer: CentRIC, School of Health Sciences, University of Southampton, Southampton, United Kingdom
| | - Diana M. Eccles
- Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Claire Foster
- Centre for Psychosocial Research in Cancer: CentRIC, School of Health Sciences, University of Southampton, Southampton, United Kingdom
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11
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Petry V, Bonadio RC, Testa L, Cohn DJ, Cagnacci A, Campos RG, Fragoso MCB, Estevez-Diz MDP. A matched case-control study of the prognosis of early breast cancer in patients with Li-Fraumeni syndrome (BREAST TP53). Breast 2023; 68:157-162. [PMID: 36773404 PMCID: PMC9945780 DOI: 10.1016/j.breast.2023.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 02/02/2023] [Accepted: 02/06/2023] [Indexed: 02/10/2023] Open
Abstract
INTRODUCTION Breast cancer (BC) is the most common type of cancer in premenopausal women with germline TP53 pathogenic variants (mTP53) (Li Fraumeni syndrome - LFS). However, little is known about the BC prognosis in these patients. This study analyzed the BC-related oncologic outcomes of patients with LFS. METHODS We evaluated a cohort of LFS patients with BC in comparison with a control cohort of BC patients with no pathogenic variant in a hereditary cancer panel. The primary endpoint was recurrence-free survival (RFS). Due to the risk of second malignancies in LFS, only locoregional and distant recurrences were considered events for RFS. Secondary endpoints included rates of contralateral BC, overall survival (OS), and breast cancer-specific survival (BCSS). RESULTS Forty-one patients were evaluated in the mTP53 group and 82 in the control group. Median age at BC diagnosis was 40 and 41 years, respectively. The mTP53 group received less adjuvant radiotherapy than the control group (63.4% vs 93.9%, P < 0.001). Other relevant baseline characteristics and treatment received were similar between groups. 5y-RFS rates were 79.4% in the mTP53 versus 93.6% in the control group (HR 2.43, 95%CI 0.74-8.01, P = 0.143); and were not impacted by the use of adjuvant radiotherapy. 5y-BCSS rates were 92.2% and 98.6%, respectively (HR 1.87, IC95% 0.25-13.48, P = 0.534). CONCLUSIONS Our results showed no statistically significant difference in BC-related RFS and BCSS between patients with mTP53 and a control group with no pathogenic variant. Larger multicentric studies are warranted to confirm these results.
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Affiliation(s)
- Vanessa Petry
- Instituto do Câncer do Estado de São Paulo, Universidade de São Paulo, São Paulo, Brazil; Instituto D'Or de Pesquisa e Ensino (IDOR), São Paulo, Brazil.
| | - Renata Colombo Bonadio
- Instituto do Câncer do Estado de São Paulo, Universidade de São Paulo, São Paulo, Brazil; Instituto D'Or de Pesquisa e Ensino (IDOR), São Paulo, Brazil
| | - Laura Testa
- Instituto do Câncer do Estado de São Paulo, Universidade de São Paulo, São Paulo, Brazil; Instituto D'Or de Pesquisa e Ensino (IDOR), São Paulo, Brazil
| | - Daniela Jbh Cohn
- Instituto do Câncer do Estado de São Paulo, Universidade de São Paulo, São Paulo, Brazil
| | - Allyne Cagnacci
- Instituto do Câncer do Estado de São Paulo, Universidade de São Paulo, São Paulo, Brazil; Hospital Alemão Oswaldo Cruz, São Paulo, Brazil
| | - Roberta G Campos
- Instituto do Câncer do Estado de São Paulo, Universidade de São Paulo, São Paulo, Brazil
| | - Maria Cândida Bv Fragoso
- Instituto do Câncer do Estado de São Paulo, Universidade de São Paulo, São Paulo, Brazil; Universidade de São Paulo, Brazil
| | - Maria Del Pilar Estevez-Diz
- Instituto do Câncer do Estado de São Paulo, Universidade de São Paulo, São Paulo, Brazil; Instituto D'Or de Pesquisa e Ensino (IDOR), São Paulo, Brazil
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12
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Imyanitov EN, Kuligina ES, Sokolenko AP, Suspitsin EN, Yanus GA, Iyevleva AG, Ivantsov AO, Aleksakhina SN. Hereditary cancer syndromes. World J Clin Oncol 2023; 14:40-68. [PMID: 36908677 PMCID: PMC9993141 DOI: 10.5306/wjco.v14.i2.40] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/09/2022] [Accepted: 02/15/2023] [Indexed: 02/21/2023] Open
Abstract
Hereditary cancer syndromes (HCSs) are arguably the most frequent category of Mendelian genetic diseases, as at least 2% of presumably healthy subjects carry highly-penetrant tumor-predisposing pathogenic variants (PVs). Hereditary breast-ovarian cancer and Lynch syndrome make the highest contribution to cancer morbidity; in addition, there are several dozen less frequent types of familial tumors. The development of the majority albeit not all hereditary malignancies involves two-hit mechanism, i.e. the somatic inactivation of the remaining copy of the affected gene. Earlier studies on cancer families suggested nearly fatal penetrance for the majority of HCS genes; however, population-based investigations and especially large-scale next-generation sequencing data sets demonstrate that the presence of some highly-penetrant PVs is often compatible with healthy status. Hereditary cancer research initially focused mainly on cancer detection and prevention. Recent studies identified multiple HCS-specific drug vulnerabilities, which translated into the development of highly efficient therapeutic options.
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Affiliation(s)
- Evgeny N Imyanitov
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia
- Department of Clinical Genetics, St.-Petersburg Pediatric Medical University, St.-Petersburg 194100, Russia
| | - Ekaterina S Kuligina
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia
- Department of Clinical Genetics, St.-Petersburg Pediatric Medical University, St.-Petersburg 194100, Russia
| | - Anna P Sokolenko
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia
- Department of Clinical Genetics, St.-Petersburg Pediatric Medical University, St.-Petersburg 194100, Russia
| | - Evgeny N Suspitsin
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia
- Department of Clinical Genetics, St.-Petersburg Pediatric Medical University, St.-Petersburg 194100, Russia
| | - Grigoriy A Yanus
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia
- Department of Clinical Genetics, St.-Petersburg Pediatric Medical University, St.-Petersburg 194100, Russia
| | - Aglaya G Iyevleva
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia
- Department of Clinical Genetics, St.-Petersburg Pediatric Medical University, St.-Petersburg 194100, Russia
| | - Alexandr O Ivantsov
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia
- Department of Clinical Genetics, St.-Petersburg Pediatric Medical University, St.-Petersburg 194100, Russia
| | - Svetlana N Aleksakhina
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia
- Department of Clinical Genetics, St.-Petersburg Pediatric Medical University, St.-Petersburg 194100, Russia
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13
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Rising CJ, Wilsnack C, Boyd P, Sleight AG, Hutson SP, Khincha PP, Werner-Lin A. Family communication challenges of adolescents and young adults with Li-Fraumeni syndrome: Implications for psychosocial care. PATIENT EDUCATION AND COUNSELING 2022; 105:3259-3266. [PMID: 35918231 PMCID: PMC9529832 DOI: 10.1016/j.pec.2022.07.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 07/12/2022] [Accepted: 07/18/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVES This qualitative-descriptive study explored adolescent and young adult (AYA) perspectives, experiences, and challenges with openness and closedness in family communication about Li-Fraumeni syndrome (LFS). METHODS We conducted interviews with AYAs (aged 15-39 years) with LFS enrolled in the National Cancer Institute's LFS study (NCT01443468). An interprofessional clinician-researcher team analyzed transcribed data using the constant comparative method and interpretive description. RESULTS AYAs (N = 38; 26 females, 12 males, mean age=29 years) reported navigating openness and closedness about LFS in their families, which varied by LFS topic, relationship, disease trajectory, and developmental phase. AYAs described communication challenges, including broaching difficult topics (e.g., reproductive decision-making, end-of-life), balancing information-sharing with emotionally protecting family and self, and struggling with interactions that cause relational tensions. CONCLUSIONS AYAs reported experiencing LFS family communication challenges that disrupted their psychosocial well-being. LFS-related stressors and life transitions complicated and were complicated by these challenging family interactions. PRACTICE IMPLICATIONS Clinicians may support AYAs with LFS by inquiring about family communication, responding empathically to communication concerns, providing resources to support difficult conversations, and engaging mental health providers as needed. Researchers could partner with AYAs to develop tailored communication skills training and social support tools.
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Affiliation(s)
- Camella J Rising
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, USA.
| | - Catherine Wilsnack
- Steve Hicks School of Social Work, University of Texas at Austin, Austin, USA.
| | - Patrick Boyd
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, USA.
| | - Alix G Sleight
- Department of Physical Medicine & Rehabilitation, Cedars-Sinai Medical Center, Los Angeles, USA.
| | - Sadie P Hutson
- College of Nursing, The University of Tennessee, Knoxville, USA.
| | - Payal P Khincha
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, USA.
| | - Allison Werner-Lin
- School of Social Policy and Practice, University of Pennsylvania, Philadelphia, USA.
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14
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Li S, MacInnis RJ, Lee A, Nguyen-Dumont T, Dorling L, Carvalho S, Dite GS, Shah M, Luccarini C, Wang Q, Milne RL, Jenkins MA, Giles GG, Dunning AM, Pharoah PDP, Southey MC, Easton DF, Hopper JL, Antoniou AC. Segregation analysis of 17,425 population-based breast cancer families: Evidence for genetic susceptibility and risk prediction. Am J Hum Genet 2022; 109:1777-1788. [PMID: 36206742 PMCID: PMC9606477 DOI: 10.1016/j.ajhg.2022.09.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 09/12/2022] [Indexed: 01/25/2023] Open
Abstract
Rare pathogenic variants in known breast cancer-susceptibility genes and known common susceptibility variants do not fully explain the familial aggregation of breast cancer. To investigate plausible genetic models for the residual familial aggregation, we studied 17,425 families ascertained through population-based probands, 86% of whom were screened for pathogenic variants in BRCA1, BRCA2, PALB2, CHEK2, ATM, and TP53 via gene-panel sequencing. We conducted complex segregation analyses and fitted genetic models in which breast cancer incidence depended on the effects of known susceptibility genes and other unidentified major genes and a normally distributed polygenic component. The proportion of familial variance explained by the six genes was 46% at age 20-29 years and decreased steadily with age thereafter. After allowing for these genes, the best fitting model for the residual familial variance included a recessive risk component with a combined genotype frequency of 1.7% (95% CI: 0.3%-5.4%) and a penetrance to age 80 years of 69% (95% CI: 38%-95%) for homozygotes, which may reflect the combined effects of multiple variants acting in a recessive manner, and a polygenic variance of 1.27 (95% CI: 0.94%-1.65), which did not vary with age. The proportion of the residual familial variance explained by the recessive risk component was 40% at age 20-29 years and decreased with age thereafter. The model predicted age-specific familial relative risks consistent with those observed by large epidemiological studies. The findings have implications for strategies to identify new breast cancer-susceptibility genes and improve disease-risk prediction, especially at a young age.
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Affiliation(s)
- Shuai Li
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Carlton, VIC 3053, Australia; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia; Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC 3051, Australia.
| | - Robert J MacInnis
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Carlton, VIC 3053, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC 3004, Australia
| | - Andrew Lee
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Tu Nguyen-Dumont
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia; Department of Clinical Pathology, The University of Melbourne, Parkville, VIC 3051, Australia
| | - Leila Dorling
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Sara Carvalho
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Gillian S Dite
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Carlton, VIC 3053, Australia; Genetic Technologies Ltd., Fitzroy, VIC 3065, Australia
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Craig Luccarini
- Centre for Cancer Genetic Epidemiology, Department of Oncology, 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
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Carlton, VIC 3053, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC 3004, Australia
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Carlton, VIC 3053, Australia
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Carlton, VIC 3053, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC 3004, Australia
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Melissa C Southey
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC 3004, Australia; Department of Clinical Pathology, The University of Melbourne, Parkville, VIC 3051, Australia
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Carlton, VIC 3053, Australia
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
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15
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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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16
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Maxwell KN, Cheng HH, Powers J, Gulati R, Ledet EM, Morrison C, Le A, Hausler R, Stopfer J, Hyman S, Kohlmann W, Naumer A, Vagher J, Greenberg S, Naylor L, Laurino M, Konnick EQ, Shirts BH, Al-Dubayan SH, Van Allen EM, Nguyen B, Vijai J, Abida W, Carlo M, Dubard-Gault M, Lee DJ, Maese LD, Mandelker D, Montgomery B, Morris MJ, Nicolosi P, Nussbaum RL, Schwartz LE, Stadler Z, Garber JE, Offit K, Schiffman JD, Nelson PS, Sartor O, Walsh MF, Pritchard CC. Inherited TP53 Variants and Risk of Prostate Cancer. Eur Urol 2022; 81:243-250. [PMID: 34863587 PMCID: PMC8891030 DOI: 10.1016/j.eururo.2021.10.036] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 09/22/2021] [Accepted: 10/28/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND Inherited germline TP53 pathogenic and likely pathogenic variants (gTP53) cause autosomal dominant multicancer predisposition including Li-Fraumeni syndrome (LFS). However, there is no known association of prostate cancer with gTP53. OBJECTIVE To determine whether gTP53 predisposes to prostate cancer. DESIGN, SETTING, AND PARTICIPANTS This multi-institutional retrospective study characterizes prostate cancer incidence in a cohort of LFS males and gTP53 prevalence in a prostate cancer cohort. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS We evaluated the spectrum of gTP53 variants and clinical features associated with prostate cancer. RESULTS AND LIMITATIONS We identified 31 prostate cancer cases among 163 adult LFS males, including 26 of 54 aged ≥50 yr. Among 117 LFS males without prostate cancer at the time of genetic testing, six were diagnosed with prostate cancer over a median (interquartile range [IQR]) of 3.0 (1.3-7.2) yr of follow-up, a 25-fold increased risk (95% confidence interval [CI] 9.2-55; p < 0.0001). We identified gTP53 in 38 of 6850 males (0.6%) in the prostate cancer cohort, a relative risk 9.1-fold higher than that of population controls (95% CI 6.2-14; p < 0.0001; gnomAD). We observed hotspots at the sites of attenuated variants not associated with classic LFS. Two-thirds of available gTP53 prostate tumors had somatic inactivation of the second TP53 allele. Among gTP53 prostate cancer cases in this study, the median age at diagnosis was 56 (IQR: 51-62) yr, 44% had Gleason ≥8 tumors, and 29% had advanced disease at diagnosis. CONCLUSIONS Complementary analyses of prostate cancer incidence in LFS males and gTP53 prevalence in prostate cancer cohorts suggest that gTP53 predisposes to aggressive prostate cancer. Prostate cancer should be considered as part of LFS screening protocols and TP53 considered in germline prostate cancer susceptibility testing. PATIENT SUMMARY Inherited pathogenic variants in the TP53 gene are likely to predispose men to aggressive prostate cancer.
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Affiliation(s)
- Kara N. Maxwell
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA,Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Heather H. Cheng
- Division of Oncology, Department of Medicine, University of Washington, Seattle, WA, USA,Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jacquelyn Powers
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Roman Gulati
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Elisa M. Ledet
- Tulane Cancer Center, Tulane Medical School, New Orleans, LA, USA
| | - Casey Morrison
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Anh Le
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Ryan Hausler
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Jill Stopfer
- Division of Population Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Sophie Hyman
- Division of Population Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Wendy Kohlmann
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Anne Naumer
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Jennie Vagher
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | | | | | | | - Eric Q. Konnick
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Brian H. Shirts
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Saud H. Al-Dubayan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA,Cancer Program, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Eliezer M. Van Allen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA,Cancer Program, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Bastien Nguyen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Joseph Vijai
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wassim Abida
- Division of Solid Tumor Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maria Carlo
- Division of Solid Tumor Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Daniel J. Lee
- Department of Surgery, Division of Urology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Luke D. Maese
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA,Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Diana Mandelker
- Diagnostic Molecular Genetics Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Bruce Montgomery
- Division of Oncology, Department of Medicine, University of Washington, Seattle, WA, USA,Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Michael J. Morris
- Division of Solid Tumor Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | - Lauren E. Schwartz
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Zsofia Stadler
- Division of Solid Tumor Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Judy E. Garber
- Division of Population Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Joshua D. Schiffman
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA,Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA,PEEL Therapeutics, Inc., Salt Lake City, UT, USA
| | - Peter S. Nelson
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA,Seattle Cancer Care Alliance, Seattle, WA, USA
| | - Oliver Sartor
- Tulane Cancer Center, Tulane Medical School, New Orleans, LA, USA
| | - Michael F. Walsh
- Division of Solid Tumor Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA,Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Colin C. Pritchard
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA,Brotman Baty Institute for Precision Medicine, Seattle, WA, USA,Corresponding author. Department of Laboratory Medicine and Pathology, University of Washington, 1959 NE Pacific Street, Seattle, WA 98195, USA. Tel. +1 (206) 598-6131; Fax: 1 (206) 543-3644. (C.C. Pritchard)
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17
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Tirotta F, Sayyed R, Jones RL, Hayes AJ. Risk factors for the development of local recurrence in extremity soft-tissue sarcoma. Expert Rev Anticancer Ther 2021; 22:83-95. [PMID: 34822313 DOI: 10.1080/14737140.2022.2011723] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
INTRODUCTION Local recurrence (LR) is one of the main pitfalls in surgery for extremities soft tissue sarcoma (eSTS). Achieving clear histopathological margins is the most important factor to reduce the risk of LR, but the ability to do so depends on not only surgical technique but also the interplay between tumor biology, anatomical location and surgical approach. The balance between postoperative morbidity and oncological benefits in reducing the risk of LR needs to be considered. AREAS COVERED This review will cover which etiological factors for the development of eSTS lead to an increased risk of LR and discuss histological subtypes that have a high risk of LR and which surgical and neoadjuvant therapeutic strategies can minimize the risk of LR. EXPERT OPINION The traditional view that surgical radicality always results in low rates of LR, while marginality alone always leads to high rates of relapse, is outdated. In the modern era of surgical oncology, limb salvage and high-level function after resectional surgery are the key surgical goals. The best results are achieved by combining effective neoadjuvant treatments with planned bespoke oncological operations that consider the biological and anatomical factors of each individual sarcoma.
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Affiliation(s)
- Fabio Tirotta
- Sarcoma Unit, The Royal Marsden Hospital NHS Foundation Trust, London, UK
| | - Raza Sayyed
- Sarcoma Unit, The Royal Marsden Hospital NHS Foundation Trust, London, UK
| | - Robin L Jones
- Sarcoma Unit, The Royal Marsden Hospital NHS Foundation Trust, London, UK
| | - Andrew J Hayes
- Sarcoma Unit, The Royal Marsden Hospital NHS Foundation Trust, London, UK
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18
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Tawana K, Brown AL, Churpek JE. Integrating germline variant assessment into routine clinical practice for myelodysplastic syndrome and acute myeloid leukaemia: current strategies and challenges. Br J Haematol 2021; 196:1293-1310. [PMID: 34658019 DOI: 10.1111/bjh.17855] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Revised: 08/24/2021] [Accepted: 09/12/2021] [Indexed: 12/28/2022]
Abstract
Over the last decade, the field of hereditary haematological malignancy syndromes (HHMSs) has gained increasing recognition among clinicians and scientists worldwide. Germline mutations now account for almost 10% of adult and paediatric myelodysplasia/acute myeloid leukaemia (MDS/AML). As our ability to diagnose HHMSs has improved, we are now faced with the challenges of integrating these advances into routine clinical practice for patients with MDS/AML and how to optimise management and surveillance of patients and asymptomatic carriers. Discoveries of novel syndromes combined with clinical, genetic and epigenetic profiling of tumour samples, have highlighted unique patterns of disease evolution across HHMSs. Despite these advances, causative lesions are detected in less than half of familial cases and evidence-based guidelines are often lacking, suggesting there is much still to learn. Future research efforts are needed to sustain current momentum within the field, led not only by advancing genetic technology but essential collaboration between clinical and academic communities.
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Affiliation(s)
- Kiran Tawana
- Department of Haematology, Addenbrooke's Hospital, Cambridge, UK
| | - Anna L Brown
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, SA, Australia.,Centre for Cancer Biology, SA Pathology, University of South Australia, Adelaide, SA, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
| | - Jane E Churpek
- Division of Hematology, Medical Oncology, and Palliative Care, Department of Medicine, School of Medicine and Public Health, The University of Wisconsin, Madison, WI, USA
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19
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Rippinger N, Fischer C, Sinn HP, Dikow N, Sutter C, Rhiem K, Grill S, Cremer FW, Nguyen HP, Ditsch N, Kast K, Hettmer S, Kratz CP, Schott S. Breast cancer characteristics and surgery among women with Li-Fraumeni syndrome in Germany-A retrospective cohort study. Cancer Med 2021; 10:7747-7758. [PMID: 34569185 PMCID: PMC8559485 DOI: 10.1002/cam4.4300] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/16/2021] [Accepted: 08/30/2021] [Indexed: 12/26/2022] Open
Abstract
Background Women with Li‐Fraumeni syndrome (LFS) have elevated breast cancer (BC) risk. Optimal BC treatment strategies in this population are yet unknown. Methods BC subtypes and treatment were retrospectively investigated between December 2016 and January 2019 in a multicentre study. BC risks were evaluated according to the type of surgery. Results Thirty‐five women of our study population (35/44; 79.5%) had developed 36 breast lesions at first diagnosis at a mean age of 34 years. Those breast lesions comprised 32 invasive BCs (89%), three ductal carcinoma in situ alone (8%) and one malignant phyllodes tumour (3%). BCs were mainly high‐grade (18/32), of no special type (NST; 31/32), HER2‐enriched (11/32) or luminal‐B‐(like)‐type (10/32). Affected women (n = 35) received breast‐conserving surgery (BCS, n = 17) or a mastectomy (ME, n = 18) including seven women with simultaneous contralateral prophylactic mastectomy (CPM) at first diagnosis. Nineteen women suffered 20 breast or locoregional axillary lesions at second diagnosis with mean age of 36. Median time between first and second diagnosis was 57 months; median time to contra‐ and ipsilateral recurrence depended on surgical strategies (BCS: 46 vs. unilateral ME: 93 vs. bilateral ME > 140 months). Women with a primary treatment of solitaire therapeutic ME suffered from contralateral BC earlier compared to those with therapeutic ME and CPM (median: 93 vs. >140 months). Conclusion Aggressive BC subtypes occur among women with LFS. Surgical treatment, i.e. ME and CPM, may prolong time to a second BC diagnosis. Conclusion on long‐term survival benefit is pending. Individual competing tumour risks and long‐term outcomes need to be taken into consideration.
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Affiliation(s)
- Nathalie Rippinger
- Department of Gynecology and Obstetrics, University Hospital Heidelberg, Heidelberg, Germany
| | - Christine Fischer
- Institute of Human Genetics, University Hospital Heidelberg, Heidelberg, Germany
| | - Hans-Peter Sinn
- Department of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Nicola Dikow
- Institute of Human Genetics, University Hospital Heidelberg, Heidelberg, Germany
| | - Christian Sutter
- Institute of Human Genetics, University Hospital Heidelberg, Heidelberg, Germany
| | - Kerstin Rhiem
- Center for Hereditary Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University Hospital Cologne, Cologne, Germany
| | - Sabine Grill
- Department of Gynecology and Centre for Hereditary Breast and Ovarian Cancer, Comprehensive Cancer Center (CCC TUM), University Hospital Rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | | | - Huu P Nguyen
- Institute of Medical Genetics and Applied Genomics, University Hospital of Tuebingen, Tuebingen, Germany.,Department of Human Genetics, University of Bochum, Bochum, Germany
| | - Nina Ditsch
- Department of Gynecology and Obstetrics, Ludwig-Maximilians University (LMU), University Hospital of Munich, Munich, Germany.,Department of Gynecology and Obstretrics, University Hospital Augsburg, Augsburg, Germany
| | - Karin Kast
- Center for Hereditary Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University Hospital Cologne, Cologne, Germany.,Department of Gynecology and Obstetrics, Medical Faculty, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany.,National Center for Tumour Diseases (NCT), Partner Site Dresden, Dresden, Germany
| | - Simone Hettmer
- Department of Paediatrics and Adolescent Medicine, Division of Paediatric Haematology and Oncology Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Christian P Kratz
- Paediatric Haematology and Oncology and Rare Disease Program, Hannover Medical School, Hannover, Germany
| | - Sarah Schott
- Department of Gynecology and Obstetrics, University Hospital Heidelberg, Heidelberg, Germany
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20
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Fortuno C, Lee K, Olivier M, Pesaran T, Mai PL, de Andrade KC, Attardi LD, Crowley S, Evans DG, Feng BJ, Major Foreman AK, Frone MN, Huether R, James PA, McGoldrick K, Mester J, Seifert BA, Slavin TP, Witkowski L, Zhang L, Plon SE, Spurdle AB, Savage SA. Specifications of the ACMG/AMP variant interpretation guidelines for germline TP53 variants. Hum Mutat 2021; 42:223-236. [PMID: 33300245 PMCID: PMC8374922 DOI: 10.1002/humu.24152] [Citation(s) in RCA: 63] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 11/05/2020] [Accepted: 12/07/2020] [Indexed: 12/28/2022]
Abstract
Germline pathogenic variants in TP53 are associated with Li-Fraumeni syndrome, a cancer predisposition disorder inherited in an autosomal dominant pattern associated with a high risk of malignancy, including early-onset breast cancers, sarcomas, adrenocortical carcinomas, and brain tumors. Intense cancer surveillance for individuals with TP53 germline pathogenic variants is associated with reduced cancer-related mortality. Accurate and consistent classification of germline variants across clinical and research laboratories is important to ensure appropriate cancer surveillance recommendations. Here, we describe the work performed by the Clinical Genome Resource TP53 Variant Curation Expert Panel (ClinGen TP53 VCEP) focused on specifying the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP) guidelines for germline variant classification to the TP53 gene. Specifications were developed for 20 ACMG/AMP criteria, while nine were deemed not applicable. The original strength level for the 10 criteria was also adjusted due to current evidence. Use of TP53-specific guidelines and sharing of clinical data among experts and clinical laboratories led to a decrease in variants of uncertain significance from 28% to 12% compared with the original guidelines. The ClinGen TP53 VCEP recommends the use of these TP53-specific ACMG/AMP guidelines as the standard strategy for TP53 germline variant classification.
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Affiliation(s)
- Cristina Fortuno
- QIMR Berghofer Medical Research Institute, Brisbane City, Australia, AUS
| | - Kristy Lee
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | | | - Phuong L. Mai
- Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Kelvin C. de Andrade
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Laura D. Attardi
- Departments of Radiation-Oncology and Genetics, Stanford University, Stanford, CA, USA
| | - Stephanie Crowley
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | | | | | - Megan N. Frone
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | - Paul A. James
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
| | | | | | - Bryce A. Seifert
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Leora Witkowski
- Laboratory for Molecular Medicine, Partners Healthcare Personalized Medicine, Cambridge, MA, USA
| | - Liying Zhang
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sharon E. Plon
- Department of Pediatrics/Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA
| | - Amanda B. Spurdle
- QIMR Berghofer Medical Research Institute, Brisbane City, Australia, AUS
| | - Sharon A. Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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21
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Evans DG, Woodward ER, Bajalica-Lagercrantz S, Oliveira C, Frebourg T. Germline TP53 Testing in Breast Cancers: Why, When and How? Cancers (Basel) 2020; 12:cancers12123762. [PMID: 33327514 PMCID: PMC7764913 DOI: 10.3390/cancers12123762] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 12/05/2020] [Accepted: 12/08/2020] [Indexed: 12/13/2022] Open
Abstract
Simple Summary TP53 variants detected in blood represent a main genetic cause of breast cancers occurring before 31 years of age. TP53 being included in most of the cancer gene panels, patients with breast cancer are offered germline TP53 testing, independently of the age of tumour onset and familial history. Interpretation of TP53 variants is remarkably complex, and detection of a germline disease-causing TP53 variant in a breast cancer patient has drastic medical consequences: radiotherapy contributing to the development of subsequent tumours should be, if possible, avoided. In her family, variant carriers should be offered annual follow-up, including whole-body MRI. Therefore, we consider that, in breast cancer patients, germline TP53 testing should be performed before treatment and that the decision of TP53 testing should not be systematic but based on the age of tumour onset, type of breast cancer, personal and familial history of cancer. Abstract Germline TP53 variants represent a main genetic cause of breast cancers before 31 years of age. Development of cancer multi-gene panels has resulted in an exponential increase of germline TP53 testing in breast cancer patients. Interpretation of TP53 variants, which are mostly missense, is complex and requires excluding clonal haematopoiesis and circulating tumour DNA. In breast cancer patients harbouring germline disease-causing TP53 variants, radiotherapy contributing to the development of subsequent tumours should be, if possible, avoided and, within families, annual follow-up including whole-body MRI should be offered to carriers. We consider that, in breast cancer patients, germline TP53 testing should be performed before treatment and offered systematically only to patients with: (i) invasive breast carcinoma or ductal carcinoma in situ (DCIS) before 31; or (ii) bilateral or multifocal or HER2+ invasive breast carcinoma/DCIS or phyllode tumour before 36; or (iii) invasive breast carcinoma before 46 and another TP53 core tumour (breast cancer, soft-tissue sarcoma, osteosarcoma, central nervous system tumour, adrenocortical carcinoma); or (iv) invasive breast carcinoma before 46 and one first- or second-degree relative with a TP53 core tumour before 56. In contrast, women presenting with breast cancer after 46, without suggestive personal or familial history, should not be tested for TP53.
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Affiliation(s)
- D. Gareth Evans
- Manchester Centre for Genomic Medicine, Division of Evolution and Genomic Sciences, University of Manchester, Manchester M13 9WL, UK;
- Manchester Centre for Genomic Medicine St Mary’s Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester M13 9WL, UK
- Correspondence: (D.G.E.); (T.F.)
| | - Emma R. Woodward
- Manchester Centre for Genomic Medicine, Division of Evolution and Genomic Sciences, University of Manchester, Manchester M13 9WL, UK;
- Manchester Centre for Genomic Medicine St Mary’s Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester M13 9WL, UK
| | - Svetlana Bajalica-Lagercrantz
- Hereditary Cancer Unit, Department of Clinical Genetics, Karolinska University Hospital, SE-17176 Stockholm, Sweden;
| | - Carla Oliveira
- i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal;
- Ipatimup-Institute of Molecular Pathology and Immunology of the University of Porto, 4200-135 Porto, Portugal
- Porto Comprehensive Cancer Center, 4200-072 Porto, Portugal
| | - Thierry Frebourg
- Department of Genetics, Rouen University Hospital, Normandy Centre for Genomic and Personalized Medicine, 76000 Rouen, France
- Inserm U1245, Normandie University, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76183 Rouen, France
- Correspondence: (D.G.E.); (T.F.)
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22
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Evans DG, Woodward ER. New surveillance guidelines for Li-Fraumeni and hereditary TP53 related cancer syndrome: implications for germline TP53 testing in breast cancer. Fam Cancer 2020; 20:1-7. [PMID: 32984917 DOI: 10.1007/s10689-020-00207-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- D Gareth Evans
- Division of Evolution and Genomic Sciences, Manchester Centre for Genomic Medicine, University of Manchester, Manchester Academic Health Sciences Centre (MAHSC), St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, UK.
| | - Emma R Woodward
- Division of Evolution and Genomic Sciences, Manchester Centre for Genomic Medicine, University of Manchester, Manchester Academic Health Sciences Centre (MAHSC), St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
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23
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24
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Guidelines for the Li-Fraumeni and heritable TP53-related cancer syndromes. Eur J Hum Genet 2020; 28:1379-1386. [PMID: 32457520 PMCID: PMC7609280 DOI: 10.1038/s41431-020-0638-4] [Citation(s) in RCA: 142] [Impact Index Per Article: 35.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 03/28/2020] [Accepted: 04/08/2020] [Indexed: 12/12/2022] Open
Abstract
Fifty years after the recognition of the Li-Fraumeni syndrome (LFS), our perception of cancers related to germline alterations of TP53 has drastically changed: (i) germline TP53 alterations are often identified among children with cancers, in particular soft-tissue sarcomas, adrenocortical carcinomas, central nervous system tumours, or among adult females with early breast cancers, without familial history. This justifies the expansion of the LFS concept to a wider cancer predisposition syndrome designated heritable TP53-related cancer (hTP53rc) syndrome; (ii) the interpretation of germline TP53 variants remains challenging and should integrate epidemiological, phenotypical, bioinformatics prediction, and functional data; (iii) the penetrance of germline disease-causing TP53 variants is variable, depending both on the type of variant (dominant-negative variants being associated with a higher cancer risk) and on modifying factors; (iv) whole-body MRI (WBMRI) allows early detection of tumours in variant carriers and (v) in cancer patients with germline disease-causing TP53 variants, radiotherapy, and conventional genotoxic chemotherapy contribute to the development of subsequent primary tumours. It is critical to perform TP53 testing before the initiation of treatment in order to avoid in carriers, if possible, radiotherapy and genotoxic chemotherapies. In children, the recommendations are to perform clinical examination and abdominal ultrasound every 6 months, annual WBMRI and brain MRI from the first year of life, if the TP53 variant is known to be associated with childhood cancers. In adults, the surveillance should include every year clinical examination, WBMRI, breast MRI in females from 20 until 65 years and brain MRI until 50 years.
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