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Savage SA. Telomere length and cancer risk: finding Goldilocks. Biogerontology 2024; 25:265-278. [PMID: 38109000 DOI: 10.1007/s10522-023-10080-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 11/13/2023] [Indexed: 12/19/2023]
Abstract
Telomeres are the nucleoprotein complex at chromosome ends essential in genomic stability. Baseline telomere length (TL) is determined by rare and common germline genetic variants but shortens with age and is susceptible to certain environmental exposures. Cellular senescence or apoptosis are normally triggered when telomeres reach a critically short length, but cancer cells overcome these protective mechanisms and continue to divide despite chromosomal instability. Rare germline variants in telomere maintenance genes cause exceedingly short telomeres for age (< 1st percentile) and the telomere biology disorders, which are associated with elevated risks of bone marrow failure, myelodysplastic syndrome, acute myeloid leukemia, and squamous cell carcinoma of the head/neck and anogenital regions. Long telomeres due to rare germline variants in the same or different telomere maintenance genes are associated with elevated risks of other cancers, such as chronic lymphocytic leukemia or sarcoma. Early epidemiology studies of TL in the general population lacked reproducibility but new methods, including creation of a TL polygenic score using common variants, have found longer telomeres associated with excess risks of renal cell carcinoma, glioma, lung cancer, and others. It has become clear that when it comes to TL and cancer etiology, not too short, not too long, but "just right" telomeres are important in minimizing cancer risk.
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Affiliation(s)
- Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, 6E456, Bethesda, MD, 20892-6772, USA.
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Hatton JN, de Andrade KC, Frone MN, Savage SA, Khincha PP. Spectrum and Excess Risk of Gastrointestinal Tumors in Li-Fraumeni Syndrome. Clin Gastroenterol Hepatol 2024; 22:662-665.e1. [PMID: 37714395 PMCID: PMC10922060 DOI: 10.1016/j.cgh.2023.08.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 07/24/2023] [Accepted: 08/11/2023] [Indexed: 09/17/2023]
Abstract
Li-Fraumeni syndrome (LFS), linked to heterozygous germline pathogenic/likely pathogenic variants in TP53, confers exceptionally high cancer risk, including core cancers (sarcoma, breast, adrenocortical, and brain cancer) among many other cancer types.1 Colorectal cancer (CRC) is most common after the core and hematologic cancers, accounting for ∼2.8% of diagnoses. Stomach and esophageal cancers constitute another 1.3% (TP53 Database; R20, July 2019: https://tp53.isb-cgc.org).2.
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Affiliation(s)
- Jessica N Hatton
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
| | - Kelvin C de Andrade
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Megan N Frone
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Payal P Khincha
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
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Pearce E, Raj H, Emezienna N, Gilkey MB, Lazard AJ, Ribisl KM, Savage SA, Han PK. The Use of Social Media to Express and Manage Medical Uncertainty in Dyskeratosis Congenita: Content Analysis. JMIR Infodemiology 2024; 4:e46693. [PMID: 38224480 PMCID: PMC10825764 DOI: 10.2196/46693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 11/09/2023] [Accepted: 11/28/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND Social media has the potential to provide social support for rare disease communities; however, little is known about the use of social media for the expression of medical uncertainty, a common feature of rare diseases. OBJECTIVE This study aims to evaluate the expression of medical uncertainty on social media in the context of dyskeratosis congenita, a rare cancer-prone inherited bone marrow failure and telomere biology disorder (TBD). METHODS We performed a content analysis of uncertainty-related posts on Facebook and Twitter managed by Team Telomere, a patient advocacy group for this rare disease. We assessed the frequency of uncertainty-related posts, uncertainty sources, issues, and management and associations between uncertainty and social support. RESULTS Across all TBD social media platforms, 45.98% (1269/2760) of posts were uncertainty related. Uncertainty-related posts authored by Team Telomere on Twitter focused on scientific (306/434, 70.5%) or personal (230/434, 53%) issues and reflected uncertainty arising from probability, ambiguity, or complexity. Uncertainty-related posts in conversations among patients and caregivers in the Facebook community group focused on scientific (429/511, 84%), personal (157/511, 30.7%), and practical (114/511, 22.3%) issues, many of which were related to prognostic unknowns. Both platforms suggested uncertainty management strategies that focused on information sharing and community building. Posts reflecting response-focused uncertainty management strategies (eg, emotional regulation) were more frequent on Twitter compared with the Facebook community group (χ21=3.9; P=.05), whereas posts reflecting uncertainty-focused management strategies (eg, ordering information) were more frequent in the Facebook community group compared with Twitter (χ21=55.1; P<.001). In the Facebook community group, only 36% (184/511) of members created posts during the study period, and those who created posts did so with a low frequency (median 3, IQR 1-7 posts). Analysis of post creator characteristics suggested that most users of TBD social media are White, female, and parents of patients with dyskeratosis congenita. CONCLUSIONS Although uncertainty is a pervasive and multifactorial issue in TBDs, our findings suggest that the discussion of medical uncertainty on TBD social media is largely limited to brief exchanges about scientific, personal, or practical issues rather than ongoing supportive conversation. The nature of uncertainty-related conversations also varied by user group: patients and caregivers used social media primarily to discuss scientific uncertainties (eg, regarding prognosis), form social connections, or exchange advice on accessing and organizing medical care, whereas Team Telomere used social media to express scientific and personal issues of uncertainty and to address the emotional impact of uncertainty. The higher involvement of female parents on TBD social media suggests a potentially greater burden of uncertainty management among mothers compared with other groups. Further research is needed to understand the dynamics of social media engagement to manage medical uncertainty in the TBD community.
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Affiliation(s)
- Emily Pearce
- Division of Cancer Epidemiology and Genetics, Clinical Genetics Branch, National Cancer Institute, National Institutes of Health, Rockville, MD, United States
| | - Hannah Raj
- Team Telomere, Coeur d'Alene, ID, United States
| | - Ngozika Emezienna
- Division of Cancer Epidemiology and Genetics, Clinical Genetics Branch, National Cancer Institute, National Institutes of Health, Rockville, MD, United States
| | - Melissa B Gilkey
- Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Allison J Lazard
- Hussman School of Journalism and Media, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Kurt M Ribisl
- Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Sharon A Savage
- Division of Cancer Epidemiology and Genetics, Clinical Genetics Branch, National Cancer Institute, National Institutes of Health, Rockville, MD, United States
| | - Paul Kj Han
- Division of Cancer Control and Population Sciences, Behavioral Research Program, National Cancer Institute, National Institutes of Health, Rockville, MD, United States
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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 Adv 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] [What about the content of this article? (0)] [Affiliation(s)] [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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Vittal A, Niewisch MR, Bhala S, Kudaravalli P, Rahman F, Hercun J, Kleiner DE, Savage SA, Koh C, Heller T, Giri N. Progression of liver disease and portal hypertension in dyskeratosis congenita and related telomere biology disorders. Hepatology 2023; 78:1777-1787. [PMID: 37184208 PMCID: PMC10733788 DOI: 10.1097/hep.0000000000000461] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 04/28/2023] [Indexed: 05/16/2023]
Abstract
BACKGROUND AND AIMS Dyskeratosis congenita (DC) and related telomere biology disorders (TBD) are characterized by very short telomeres and multisystem organ involvement including liver disease. Our study aimed to characterize baseline hepatic abnormalities in patients with DC/TBD and determine risk factors associated with liver disease progression. APPROACH AND RESULTS A retrospective review was performed on a cohort of 58 patients (39 males) with DC/TBD who were prospectively evaluated at a single institute from 2002 to 2019. The median age at initial assessment was 18 (1.4-67.6) years, and median follow-up duration was 6 (1.4-8.2) years. Patients with autosomal or X-linked recessive inheritance and those with heterozygous TINF2 DC were significantly younger, predominantly male, and more likely to have DC-associated mucocutaneous triad features and severe bone marrow failure compared with autosomal dominant-non- TINF2 DC/TBD patients. Liver abnormality (defined at baseline assessment by laboratory and/or radiological findings) was present in 72.4% of patients with predominantly cholestatic pattern of liver enzyme elevation. Clinically significant liver disease and portal hypertension developed in 17.2% of patients during the 6-year follow-up; this progression was mainly seen in patients with recessive or TINF2 -associated DC. Significant risk factors associated with progression included the presence of pulmonary or vascular disease. CONCLUSIONS Our experience shows a high prevalence of cholestatic pattern of liver abnormality with progression to portal hypertension in patients with DC/TBD. Presence of pulmonary and/or vascular disease in patients with recessive or TINF2 DC was an important predictor of liver disease progression, suggesting the need for increased vigilance and monitoring for complications in these patients.
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Affiliation(s)
- Anusha Vittal
- Liver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Marena R. Niewisch
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Sonia Bhala
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Pujitha Kudaravalli
- Department of Internal Medicine, SUNY Upstate Medical University, Syracuse, New York, USA
| | - Farial Rahman
- Liver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Julian Hercun
- Liver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - David E. Kleiner
- Laboratory of Pathology, National Cancer Institute, Bethesda, Maryland, USA
| | - Sharon A. Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Christopher Koh
- Liver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Theo Heller
- Liver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Neelam Giri
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
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Sanchez SE, Gu J, Golla A, Martin A, Shomali W, Hockemeyer D, Savage SA, Artandi SE. Digital telomere measurement by long-read sequencing distinguishes healthy aging from disease. bioRxiv 2023:2023.11.29.569263. [PMID: 38077053 PMCID: PMC10705489 DOI: 10.1101/2023.11.29.569263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Telomere length is an important biomarker of organismal aging and cellular replicative potential, but existing measurement methods are limited in resolution and accuracy. Here, we deploy digital telomere measurement by nanopore sequencing to understand how distributions of human telomere length change with age and disease. We measure telomere attrition and de novo elongation with unprecedented resolution in genetically defined populations of human cells, in blood cells from healthy donors and in blood cells from patients with genetic defects in telomere maintenance. We find that human aging is accompanied by a progressive loss of long telomeres and an accumulation of shorter telomeres. In patients with defects in telomere maintenance, the accumulation of short telomeres is more pronounced and correlates with phenotypic severity. We apply machine learning to train a binary classification model that distinguishes healthy individuals from those with telomere biology disorders. This sequencing and bioinformatic pipeline will advance our understanding of telomere maintenance mechanisms and the use of telomere length as a clinical biomarker of aging and disease.
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Affiliation(s)
- Santiago E. Sanchez
- Stanford Cancer Institute, Stanford University School of Medicine; Stanford, CA, USA
- Cancer Biology Program, Stanford University School of Medicine; Stanford, CA, USA
- Medical Scientist Training Program, Stanford University; Stanford CA, USA
| | - Jessica Gu
- Stanford Cancer Institute, Stanford University School of Medicine; Stanford, CA, USA
- Department of Medicine, Stanford University School of Medicine; Stanford, CA, USA
- Department of Biochemistry, Stanford University School of Medicine; Stanford, CA, USA
| | - Anudeep Golla
- Stanford Cancer Institute, Stanford University School of Medicine; Stanford, CA, USA
| | - Annika Martin
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA
| | - William Shomali
- Department of Medicine, Stanford University School of Medicine; Stanford, CA, USA
| | - Dirk Hockemeyer
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA
- Chan Zuckerberg Biohub, San Francisco, CA
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA
| | - Sharon A. Savage
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Steven E. Artandi
- Stanford Cancer Institute, Stanford University School of Medicine; Stanford, CA, USA
- Department of Medicine, Stanford University School of Medicine; Stanford, CA, USA
- Department of Biochemistry, Stanford University School of Medicine; Stanford, CA, USA
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Raj HA, Lai TP, Niewisch MR, Giri N, Wang Y, Spellman SR, Aviv A, Gadalla SM, Savage SA. The distribution and accumulation of the shortest telomeres in telomere biology disorders. Br J Haematol 2023; 203:820-828. [PMID: 37354000 PMCID: PMC10748793 DOI: 10.1111/bjh.18945] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 05/19/2023] [Accepted: 06/02/2023] [Indexed: 06/25/2023]
Abstract
Individuals with telomere biology disorders (TBDs) have very short telomeres, high risk of bone marrow failure (BMF), and reduced survival. Using data from TBD patients, a mean leukocyte Southern blot telomere length (TL) of 5 kilobases (kb) was estimated as the 'telomere brink' at which human survival is markedly reduced. However, the shortest telomere, not the mean TL, signals replicative senescence. We used the Telomere Shortest Length Assay (TeSLA) to tally TL of all 46 chromosomes in blood-derived DNA and examined its relationship with TBDs. Patients (n = 18) had much shorter mean TL (TeSmTL) (2.54 ± 0.41 kb vs. 4.48 ± 0.52 kb, p < 0.0001) and more telomeres <3 kb than controls (n = 22) (70.43 ± 8.76% vs. 33.05 ± 6.93%, p < 0.0001). The proportion of ultrashort telomeres (<1.6 kb) was also higher in patients than controls (39.29 ± 10.69% vs. 10.40 ± 4.09%, p < 0.0001). TeS <1.6 kb was associated with severe (n = 11) compared with non-severe (n = 7) BMF (p = 0.027). Patients with multi-organ manifestations (n = 10) had more telomeres <1.6 kb than those with one affected organ system (n = 8) (p = 0.029). Findings suggest that TBD clinical manifestations are associated with a disproportionately higher number of haematopoietic cell telomeres reaching a telomere brink, whose length at the single telomere level is yet to be determined.
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Affiliation(s)
- Hannah A. Raj
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Tsung-Po Lai
- Center of Human Development and Aging, Rutgers University of New Jersey, New Jersey Medical School, Newark, NJ
| | - Marena R. Niewisch
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
- Department of Pediatric Hematology and Oncology, Hannover Medical School, Hannover, Germany
| | - Neelam Giri
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Youjin Wang
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Stephen R. Spellman
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, MN
| | - Abraham Aviv
- Center of Human Development and Aging, Rutgers University of New Jersey, New Jersey Medical School, Newark, NJ
| | - Shahinaz M. Gadalla
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Sharon A. Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
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Savage SA, Suárez-González A, Stuart I, Christensen I. Successful word retraining, maintenance and transference of practice to everyday activities: A single case experimental design in early onset alcohol-induced brain damage. Neuropsychol Rehabil 2023; 33:1488-1511. [PMID: 35984770 DOI: 10.1080/09602011.2022.2107545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 07/26/2022] [Indexed: 10/15/2022]
Abstract
Word retraining programs have been shown to improve naming ability post-stroke and in progressive aphasias. Here, we investigated benefits for a 22-year-old Danish man (DJ), whose difficulties followed brain damage from heavy alcohol misuse. Using a multiple baseline-across-behaviours design (target behaviour: retrieval of word list items), DJ completed a 4-week "Look, Listen, Repeat" program on a computer. Ninety personally relevant target words were selected to create three matched lists. List 1 was trained for 10 sessions over 2 weeks, followed by 9 sessions for List 2 over 2 weeks, while the third list remained untrained. Naming performance was evaluated at baseline, during the intervention, and at 1 and 4 months post-training. Naming improved following each intervention block (p < .001), with only one data point overlapping between the baseline and treatment phases for trained items. Untrained words remained unchanged (p = 1.00), with 50% of data points non-overlapping across baseline to treatment phases. Performance was maintained over time, and appeared to generalize, with DJ naming more trained objects in their natural setting (85%) than untrained items (64%). While more evidence is needed, brief (20-minute), intensive (5-day/week) word retraining programs may assist word retrieval for people with brain damage associated with alcohol misuse.
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Affiliation(s)
- Sharon A Savage
- School of Psychological Sciences, The University of Newcastle, Newcastle, Australia
- Psychology Department, University of Exeter , Exeter, UK
| | - Aida Suárez-González
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, London, UK
| | - Ida Stuart
- Neurorehabilitation Selma Marie, Ølstykke, Denmark
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Gianferante DM, Moore A, Spector LG, Wheeler W, Yang T, Hubbard A, Gorlick R, Patiño-Garcia A, Lecanda F, Flanagan AM, Amary F, Andrulis IL, Wunder JS, Thomas DM, Ballinger ML, Serra M, Hattinger C, Demerath E, Johnson W, Birmann BM, De Vivo I, Giles G, Teras LR, Arslan A, Vermeulen R, Sample J, Freedman ND, Huang WY, Chanock SJ, Savage SA, Berndt SI, Mirabello L. Genetically inferred birthweight, height, and puberty timing and risk of osteosarcoma. Cancer Epidemiol 2023:102432. [PMID: 37596165 PMCID: PMC10869637 DOI: 10.1016/j.canep.2023.102432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 07/14/2023] [Indexed: 08/20/2023]
Abstract
INTRODUCTION Several studies have linked increased risk of osteosarcoma with tall stature, high birthweight, and early puberty, although evidence is inconsistent. We used genetic risk scores (GRS) based on established genetic loci for these traits and evaluated associations between genetically inferred birthweight, height, and puberty timing with osteosarcoma. METHODS Using genotype data from two genome-wide association studies, totaling 1039 cases and 2923 controls of European ancestry, association analyses were conducted using logistic regression for each study and meta-analyzed to estimate pooled odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup analyses were conducted by case diagnosis age, metastasis status, tumor location, tumor histology, and presence of a known pathogenic variant in a cancer susceptibility gene. RESULTS Genetically inferred higher birthweight was associated with an increased risk of osteosarcoma (OR =1.59, 95% CI 1.07-2.38, P = 0.02). This association was strongest in cases without metastatic disease (OR =2.46, 95% CI 1.44-4.19, P = 9.5 ×10-04). Although there was no overall association between osteosarcoma and genetically inferred taller stature (OR=1.06, 95% CI 0.96-1.17, P = 0.28), the GRS for taller stature was associated with an increased risk of osteosarcoma in 154 cases with a known pathogenic cancer susceptibility gene variant (OR=1.29, 95% CI 1.03-1.63, P = 0.03). There were no significant associations between the GRS for puberty timing and osteosarcoma. CONCLUSION A genetic propensity to higher birthweight was associated with increased osteosarcoma risk, suggesting that shared genetic factors or biological pathways that affect birthweight may contribute to osteosarcoma pathogenesis.
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Affiliation(s)
| | - Amy Moore
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, MD, USA
| | - Logan G Spector
- Department of Pediatrics, University of Minnesota, Minneapolis, MN 55455, USA
| | | | - Tianzhong Yang
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Aubrey Hubbard
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, MD, USA
| | - Richard Gorlick
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ana Patiño-Garcia
- Department of Pediatrics and Solid Tumor Division CIMA, IdiSNA, Clínica Universidad de Navarra, Pamplona, Spain
| | - Fernando Lecanda
- Center for Applied Medical Research (CIMA)-University of Navarra, IdiSNA, and CIBERONC, Pamplona, Spain
| | - Adrienne M Flanagan
- UCL Cancer Institute, Huntley Street, London WC1E 6BT, UK; Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex HA7 4LP, UK
| | - Fernanda Amary
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex HA7 4LP, UK
| | - Irene L Andrulis
- Litwin Centre for Cancer Genetics, Samuel Lunenfeld Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Jay S Wunder
- Litwin Centre for Cancer Genetics, Samuel Lunenfeld Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - David M Thomas
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia; St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Mandy L Ballinger
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia; St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Massimo Serra
- Laboratory of Experimental Oncology, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy; IRCCS Istituto Ortopedico Rizzoli, Osteoncology, Bone and Soft Tissue Sarcomas and Innovative Therapies, Pharmacogenomics and Pharmacogenetics Research Unit, Bologna, Italy
| | - Claudia Hattinger
- Laboratory of Experimental Oncology, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy; IRCCS Istituto Ortopedico Rizzoli, Osteoncology, Bone and Soft Tissue Sarcomas and Innovative Therapies, Pharmacogenomics and Pharmacogenetics Research Unit, Bologna, Italy
| | - Ellen Demerath
- Division of Epidemiology and Clinical Research, School of Public Health, UMN, USA
| | - Will Johnson
- School of Sport, Exercise, and Health Sciences, University of Loughborough, UK
| | - Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Immaculata De Vivo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Graham Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Lauren R Teras
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Alan Arslan
- Department of Obstetrics and Gynecology, New York School of Medicine, New York, NY, USA; Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jeannette Sample
- Department of Pediatrics, University of Minnesota, Minneapolis, MN 55455, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, MD, USA
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, MD, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, MD, USA
| | - Sharon A Savage
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, MD, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, MD, USA
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, MD, USA.
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10
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Pederiva C, Trevisan DM, Peirasmaki D, Chen S, Savage SA, Larsson O, Ule J, Baranello L, Agostini F, Farnebo M. Control of protein synthesis through mRNA pseudouridylation by dyskerin. Sci Adv 2023; 9:eadg1805. [PMID: 37506213 PMCID: PMC10381945 DOI: 10.1126/sciadv.adg1805] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 06/26/2023] [Indexed: 07/30/2023]
Abstract
Posttranscriptional modifications of mRNA have emerged as regulators of gene expression. Although pseudouridylation is the most abundant, its biological role remains poorly understood. Here, we demonstrate that the pseudouridine synthase dyskerin associates with RNA polymerase II, binds to thousands of mRNAs, and is responsible for their pseudouridylation, an action that occurs in chromatin and does not appear to require a guide RNA with full complementarity. In cells lacking dyskerin, mRNA pseudouridylation is reduced, while at the same time, de novo protein synthesis is enhanced, indicating that this modification interferes with translation. Accordingly, mRNAs with fewer pseudouridines due to knockdown of dyskerin are translated more efficiently. Moreover, mRNA pseudouridylation is severely reduced in patients with dyskeratosis congenita caused by inherited mutations in the gene encoding dyskerin (i.e., DKC1). Our findings demonstrate that pseudouridylation by dyskerin modulates mRNA translatability, with important implications for both normal development and disease.
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Affiliation(s)
- Chiara Pederiva
- Department of Cell and Molecular Biology, Karolinska Institutet, Solna 17165, Sweden
| | - Davide M. Trevisan
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge 14152, Sweden
| | - Dimitra Peirasmaki
- Department of Cell and Molecular Biology, Karolinska Institutet, Solna 17165, Sweden
| | - Shan Chen
- Department of Oncology and Pathology, Karolinska Institutet, Solna 17165, Sweden
- Science for Life Laboratory, Stockholm 17165, Sweden
| | - Sharon A. Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD 20852, USA
| | - Ola Larsson
- Department of Oncology and Pathology, Karolinska Institutet, Solna 17165, Sweden
- Science for Life Laboratory, Stockholm 17165, Sweden
| | - Jernej Ule
- The Francis Crick Institute, London NW1 1AT, UK
- UK Dementia Research Institute, King’s College London, London W1T 7NF, UK
- National Institute of Chemistry, 1001 Ljubljana, Slovenia
| | - Laura Baranello
- Department of Cell and Molecular Biology, Karolinska Institutet, Solna 17165, Sweden
| | - Federico Agostini
- Science for Life Laboratory, Stockholm 17165, Sweden
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Solna 17165, Sweden
| | - Marianne Farnebo
- Department of Cell and Molecular Biology, Karolinska Institutet, Solna 17165, Sweden
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge 14152, Sweden
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11
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Obregón IH, de Andrade KC, Bremer RC, Khincha PP, Savage SA. Pilot study of the prevalence of autoimmune disorders in Li-Fraumeni syndrome. Fam Cancer 2023; 22:319-321. [PMID: 36627407 PMCID: PMC10277222 DOI: 10.1007/s10689-022-00326-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 12/28/2022] [Indexed: 01/12/2023]
Affiliation(s)
- Ixtaccihuatl H Obregón
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Room 6E456, Bethesda, MD, 20892-6772, USA
| | - Kelvin C de Andrade
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Room 6E456, Bethesda, MD, 20892-6772, USA
| | - Renee C Bremer
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Room 6E456, Bethesda, MD, 20892-6772, USA
| | - Payal P Khincha
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Room 6E456, Bethesda, MD, 20892-6772, USA
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Room 6E456, Bethesda, MD, 20892-6772, USA.
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12
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Affiliation(s)
- Sonia Bhala
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, USA
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, USA
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13
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Subasri V, Light N, Kanwar N, Brzezinski J, Luo P, Hansford JR, Cairney E, Portwine C, Elser C, Finlay JL, Nichols KE, Alon N, Brunga L, Anson J, Kohlmann W, de Andrade KC, Khincha PP, Savage SA, Schiffman JD, Weksberg R, Pugh TJ, Villani A, Shlien A, Goldenberg A, Malkin D. Multiple Germline Events Contribute to Cancer Development in Patients with Li-Fraumeni Syndrome. Cancer Res Commun 2023; 3:738-754. [PMID: 37377903 PMCID: PMC10150777 DOI: 10.1158/2767-9764.crc-22-0402] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 01/19/2023] [Accepted: 03/29/2023] [Indexed: 06/29/2023]
Abstract
Li-Fraumeni syndrome (LFS) is an autosomal dominant cancer-predisposition disorder. Approximately 70% of individuals who fit the clinical definition of LFS harbor a pathogenic germline variant in the TP53 tumor suppressor gene. However, the remaining 30% of patients lack a TP53 variant and even among variant TP53 carriers, approximately 20% remain cancer-free. Understanding the variable cancer penetrance and phenotypic variability in LFS is critical to developing rational approaches to accurate, early tumor detection and risk-reduction strategies. We leveraged family-based whole-genome sequencing and DNA methylation to evaluate the germline genomes of a large, multi-institutional cohort of patients with LFS (n = 396) with variant (n = 374) or wildtype TP53 (n = 22). We identified alternative cancer-associated genetic aberrations in 8/14 wildtype TP53 carriers who developed cancer. Among variant TP53 carriers, 19/49 who developed cancer harbored a pathogenic variant in another cancer gene. Modifier variants in the WNT signaling pathway were associated with decreased cancer incidence. Furthermore, we leveraged the noncoding genome and methylome to identify inherited epimutations in genes including ASXL1, ETV6, and LEF1 that confer increased cancer risk. Using these epimutations, we built a machine learning model that can predict cancer risk in patients with LFS with an area under the receiver operator characteristic curve (AUROC) of 0.725 (0.633-0.810). Significance Our study clarifies the genomic basis for the phenotypic variability in LFS and highlights the immense benefits of expanding genetic and epigenetic testing of patients with LFS beyond TP53. More broadly, it necessitates the dissociation of hereditary cancer syndromes as single gene disorders and emphasizes the importance of understanding these diseases in a holistic manner as opposed to through the lens of a single gene.
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Affiliation(s)
- Vallijah Subasri
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Vector Institute, Toronto, Ontario, Canada
| | - Nicholas Light
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Nisha Kanwar
- Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Jack Brzezinski
- Division of Haematology/Oncology, The Hospital for Sick Children, Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Ping Luo
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada
| | - Jordan R. Hansford
- Children's Cancer Centre, Royal Children's Hospital, Melbourne, Victoria, Australia
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Pediatrics, University of Melbourne, Melbourne, Australia
- Michael Rice Cancer Centre, Women's and Children's Hospital, North Adelaide, South Australia, Australia
- South Australia Health and Medical Research Institute, Adelaide, South Australia, Australia
- South Australia Immunogenomics Cancer Institute, University of Adelaide, Adelaide, Australia
| | - Elizabeth Cairney
- Department of Paediatrics, London Health Sciences Centre and Western University, London, Ontario, Canada
| | - Carol Portwine
- Department of Paediatrics, McMaster University, Hamilton, Ontario, Canada
| | - Christine Elser
- Department of Medical Oncology, Princess Margaret Hospital and Mount Sinai Hospital, Toronto, Ontario, Canada
- Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Jonathan L. Finlay
- Neuro-Oncology Program, Nationwide Children's Hospital and The Ohio State University, Columbus, Ohio
| | - Kim E. Nichols
- Department of Oncology, St Jude Children's Research Hospital, Memphis, Tennessee
| | - Noa Alon
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Ledia Brunga
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Jo Anson
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Wendy Kohlmann
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Kelvin C. de Andrade
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland
| | - Payal P. Khincha
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland
| | - Sharon A. Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland
| | - Joshua D. Schiffman
- Department of Pediatrics, University of Utah, Salt Lake City, Utah
- PEEL Therapeutics, Inc., Salt Lake City, Utah
| | - Rosanna Weksberg
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Trevor J. Pugh
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Anita Villani
- Division of Haematology/Oncology, The Hospital for Sick Children, Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Adam Shlien
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Anna Goldenberg
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Vector Institute, Toronto, Ontario, Canada
- CIFAR: Child and Brain Development, Toronto, Ontario, Canada
- Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
| | - David Malkin
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Division of Haematology/Oncology, The Hospital for Sick Children, Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
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14
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Lai TP, Verhulst S, Savage SA, Gadalla SM, Benetos A, Toupance S, Factor-Litvak P, Susser E, Aviv A. Buildup from birth onward of short telomeres in human hematopoietic cells. Aging Cell 2023:e13844. [PMID: 37118904 DOI: 10.1111/acel.13844] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 03/25/2023] [Accepted: 03/27/2023] [Indexed: 04/30/2023] Open
Abstract
Telomere length (TL) limits somatic cell replication. However, the shortest among the telomeres in each nucleus, not mean TL, is thought to induce replicative senescence. Researchers have relied on Southern blotting (SB), and techniques calibrated by SB, for precise measurements of TL in epidemiological studies. However, SB provides little information on the shortest telomeres among the 92 telomeres in the nucleus of human somatic cells. Therefore, little is known about the accumulation of short telomeres with age, or whether it limits the human lifespan. To fill this knowledge void, we used the Telomere-Shortest-Length-Assay (TeSLA), a method that tallies and measures single telomeres of all chromosomes. We charted the age-dependent buildup of short telomeres (<3 kb) in human hematopoietic cells from 334 individuals (birth-89 years) from the general population, and 18 patients with dyskeratosis congenita-telomere biology disorders (DC/TBDs), whose hematopoietic cells have presumably reached or are close to their replicative limit. For comparison, we also measured TL with SB. We found that in hematopoietic cells, the buildup of short telomeres occurs in parallel with the shortening with age of mean TL. However, the proportion of short telomeres was lower in octogenarians from the general population than in patients with DC/TBDs. At any age, mean TL was longer and the proportion of short telomeres lower in females than in males. We conclude that though converging to the TL-mediated replicative limit, hematopoietic cell telomeres are unlikely to reach this limit during the lifespan of most contemporary humans.
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Affiliation(s)
- Tsung-Po Lai
- Center of Human Development and Aging, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, New Jersey, USA
| | - Simon Verhulst
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands
| | - Sharon A Savage
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Shahinaz M Gadalla
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Athanase Benetos
- INSERM DCAC Université de Lorraine, Nancy, France
- CHRU-Nancy Pôle Maladies du vieillissement, Gérontologie et Soins Palliatifs and Fédération Hospitalo-Universitaire CARTAGE-PROFILES Université de Lorraine, Nancy, France
| | | | - Pam Factor-Litvak
- Department of Epidemiology, Mailman School of Public Health, New York, New York, USA
| | - Ezra Susser
- Department of Epidemiology, Mailman School of Public Health, New York, New York, USA
- Department of Psychiatry, New York State Psychiatric Institute, New York, New York, USA
| | - Abraham Aviv
- Center of Human Development and Aging, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, New Jersey, USA
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15
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Gutierrez-Rodrigues F, Munger E, Ma X, Groarke EM, Tang Y, Patel BA, Catto LFB, Clé DV, Niewisch MR, Alves-Paiva RM, Donaires FS, Pinto AL, Borges G, Santana BA, McReynolds LJ, Giri N, Altintas B, Fan X, Shalhoub R, Siwy CM, Diamond C, Raffo DQ, Craft K, Kajigaya S, Summers RM, Liu P, Cunningham L, Hickstein DD, Dunbar CE, Pasquini R, De Oliveira MM, Velloso EDRP, Alter BP, Savage SA, Bonfim C, Wu CO, Calado RT, Young NS. Differential diagnosis of bone marrow failure syndromes guided by machine learning. Blood 2023; 141:2100-2113. [PMID: 36542832 PMCID: PMC10163315 DOI: 10.1182/blood.2022017518] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 11/10/2022] [Accepted: 12/09/2022] [Indexed: 12/24/2022] Open
Abstract
The choice to postpone treatment while awaiting genetic testing can result in significant delay in definitive therapies in patients with severe pancytopenia. Conversely, the misdiagnosis of inherited bone marrow failure (BMF) can expose patients to ineffectual and expensive therapies, toxic transplant conditioning regimens, and inappropriate use of an affected family member as a stem cell donor. To predict the likelihood of patients having acquired or inherited BMF, we developed a 2-step data-driven machine-learning model using 25 clinical and laboratory variables typically recorded at the initial clinical encounter. For model development, patients were labeled as having acquired or inherited BMF depending on their genomic data. Data sets were unbiasedly clustered, and an ensemble model was trained with cases from the largest cluster of a training cohort (n = 359) and validated with an independent cohort (n = 127). Cluster A, the largest group, was mostly immune or inherited aplastic anemia, whereas cluster B comprised underrepresented BMF phenotypes and was not included in the next step of data modeling because of a small sample size. The ensemble cluster A-specific model was accurate (89%) to predict BMF etiology, correctly predicting inherited and likely immune BMF in 79% and 92% of cases, respectively. Our model represents a practical guide for BMF diagnosis and highlights the importance of clinical and laboratory variables in the initial evaluation, particularly telomere length. Our tool can be potentially used by general hematologists and health care providers not specialized in BMF, and in under-resourced centers, to prioritize patients for genetic testing or for expeditious treatment.
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Affiliation(s)
- Fernanda Gutierrez-Rodrigues
- Hematology Branch, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD
| | - Eric Munger
- Department of Bioinformatics and Computational Biology, George Mason University, Fairfax, VA
| | - Xiaoyang Ma
- Hematology Branch, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD
| | - Emma M. Groarke
- Hematology Branch, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD
| | - Youbao Tang
- Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, NIH Clinical Center, Bethesda, MD
| | - Bhavisha A. Patel
- Hematology Branch, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD
| | - Luiz Fernando B. Catto
- Department of Medical Imaging, Hematology, and Oncology, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Diego V. Clé
- Department of Medical Imaging, Hematology, and Oncology, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Marena R. Niewisch
- Division of Cancer Epidemiology and Genetics, Clinical Genetics Branch, National Cancer Institute (NCI), NIH, Bethesda, MD
| | | | - Flávia S. Donaires
- Department of Medical Imaging, Hematology, and Oncology, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - André Luiz Pinto
- Department of Medical Imaging, Hematology, and Oncology, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Gustavo Borges
- Department of Medical Imaging, Hematology, and Oncology, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Barbara A. Santana
- Department of Medical Imaging, Hematology, and Oncology, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Lisa J. McReynolds
- Division of Cancer Epidemiology and Genetics, Clinical Genetics Branch, National Cancer Institute (NCI), NIH, Bethesda, MD
| | - Neelam Giri
- Division of Cancer Epidemiology and Genetics, Clinical Genetics Branch, National Cancer Institute (NCI), NIH, Bethesda, MD
| | - Burak Altintas
- Division of Cancer Epidemiology and Genetics, Clinical Genetics Branch, National Cancer Institute (NCI), NIH, Bethesda, MD
| | - Xing Fan
- Translational Stem Cell Biology Branch, NHLBI, NIH, Bethesda, MD
| | - Ruba Shalhoub
- Hematology Branch, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD
| | - Christopher M. Siwy
- Department of Clinical Reseach Infomatics, NIH Clinical Center, Bethesda, MD
| | - Carrie Diamond
- Hematology Branch, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD
| | - Diego Quinones Raffo
- Hematology Branch, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD
| | - Kathleen Craft
- Translational and Functional Genomics Branch, National Human Genome Research Institute, NIH, Bethesda, MD
| | - Sachiko Kajigaya
- Hematology Branch, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD
| | - Ronald M. Summers
- Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, NIH Clinical Center, Bethesda, MD
| | - Paul Liu
- Translational and Functional Genomics Branch, National Human Genome Research Institute, NIH, Bethesda, MD
| | - Lea Cunningham
- Translational and Functional Genomics Branch, National Human Genome Research Institute, NIH, Bethesda, MD
| | | | | | - Ricardo Pasquini
- Bone Marrow Transplantation Unit, Federal University of Parana, Curitiba, PR
| | | | - Elvira D. R. P. Velloso
- Hemotherapy and Cell Therapy Branch, Albert Einstein Hospital, São Paulo, Brazil
- Service of Hematology, Transfusion and Cell Therapy and Laboratory of Medical Investigation in Pathogenesis and Directed Therapy in Onco-Immuno-Hematology (LIM-31) HCFMUSP, University of Sao Paulo Medical School, São Paulo, Brazil
| | - Blanche P. Alter
- Division of Cancer Epidemiology and Genetics, Clinical Genetics Branch, National Cancer Institute (NCI), NIH, Bethesda, MD
| | - Sharon A. Savage
- Division of Cancer Epidemiology and Genetics, Clinical Genetics Branch, National Cancer Institute (NCI), NIH, Bethesda, MD
| | - Carmem Bonfim
- Bone Marrow Transplantation Unit, Federal University of Parana, Curitiba, PR
- Instituto de Pesquisa Pele Pequeno Principe, Curitiba, PR
| | - Colin O. Wu
- Office of Biostatistics Research, NHLBI, NIH, Bethesda, MD
| | - Rodrigo T. Calado
- Department of Medical Imaging, Hematology, and Oncology, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Neal S. Young
- Hematology Branch, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD
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16
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Kim J, Karyadi DM, Hartley SW, Zhu B, Wang M, Wu D, Song L, Armstrong GT, Bhatia S, Robison LL, Yasui Y, Carter B, Sampson JN, Freedman ND, Goldstein AM, Mirabello L, Chanock SJ, Morton LM, Savage SA, Stewart DR. Inflated expectations: Rare-variant association analysis using public controls. PLoS One 2023; 18:e0280951. [PMID: 36696392 PMCID: PMC9876209 DOI: 10.1371/journal.pone.0280951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 01/12/2023] [Indexed: 01/26/2023] Open
Abstract
The use of publicly available sequencing datasets as controls (hereafter, "public controls") in studies of rare variant disease associations has great promise but can increase the risk of false-positive discovery. The specific factors that could contribute to inflated distribution of test statistics have not been systematically examined. Here, we leveraged both public controls, gnomAD v2.1 and several datasets sequenced in our laboratory to systematically investigate factors that could contribute to the false-positive discovery, as measured by λΔ95, a measure to quantify the degree of inflation in statistical significance. Analyses of datasets in this investigation found that 1) the significantly inflated distribution of test statistics decreased substantially when the same variant caller and filtering pipelines were employed, 2) differences in library prep kits and sequencers did not affect the false-positive discovery rate and, 3) joint vs. separate variant-calling of cases and controls did not contribute to the inflation of test statistics. Currently available methods do not adequately adjust for the high false-positive discovery. These results, especially if replicated, emphasize the risks of using public controls for rare-variant association tests in which individual-level data and the computational pipeline are not readily accessible, which prevents the use of the same variant-calling and filtering pipelines on both cases and controls. A plausible solution exists with the emergence of cloud-based computing, which can make it possible to bring containerized analytical pipelines to the data (rather than the data to the pipeline) and could avert or minimize these issues. It is suggested that future reports account for this issue and provide this as a limitation in reporting new findings based on studies that cannot practically analyze all data on a single pipeline.
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Affiliation(s)
- Jung Kim
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Danielle M. Karyadi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Stephen W. Hartley
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Mingyi Wang
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
- Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Dongjing Wu
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
- Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Gregory T. Armstrong
- Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital, Memphis, Tennessee, United States of America
| | - Smita Bhatia
- Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
| | - Leslie L. Robison
- Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital, Memphis, Tennessee, United States of America
| | - Yutaka Yasui
- Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital, Memphis, Tennessee, United States of America
| | - Brian Carter
- Department of Population Science, American Cancer Society, Atlanta, Georgia, United States of America
| | - Joshua N. Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Neal D. Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Alisa M. Goldstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Lindsay M. Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Sharon A. Savage
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Douglas R. Stewart
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
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Savage SA. Who Should Have Multigene Germline Testing for Hereditary Cancer? J Clin Oncol 2022; 40:4040-4043. [PMID: 36166722 PMCID: PMC9746744 DOI: 10.1200/jco.22.01691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
- Sharon A. Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD,Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD 20892; e-mail:
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Thompson AS, Giri N, Gianferante DM, Jones K, Savage SA, Alter BP, McReynolds LJ. Shwachman Diamond syndrome: narrow genotypic spectrum and variable clinical features. Pediatr Res 2022; 92:1671-1680. [PMID: 35322185 PMCID: PMC9500118 DOI: 10.1038/s41390-022-02009-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 02/14/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND AND OBJECTIVES Shwachman Diamond syndrome (SDS) is an inherited bone marrow failure syndrome (IBMFS) associated with pancreatic insufficiency, neutropenia, and skeletal dysplasia. Biallelic pathogenic variants (PV) in SBDS account for >90% of SDS. We hypothesized that the SDS phenotype varies based on genotype and conducted a genotype-phenotype correlation study to better understand these complexities. METHODS We reviewed records of all patients with SDS or SDS-like syndromes in the National Cancer Institute's (NCI) IBMFS study. Additional published SDS cohorts were reviewed and compared with the NCI cohort. RESULTS PVs in SBDS were present in 32/47 (68.1%) participants. Biallelic inheritance of SBDS c.258 + 2T > C and c.183_184TA > CT was the most common genotype in our study (25/32, 78.1%) and published cohorts. Most patients had the SDS hallmark features of neutropenia (45/45, 100%), pancreatic insufficiency (41/43, 95.3%), and/or bony abnormalities (29/36, 80.6%). Developmental delay was common (20/34, 58.8%). Increased risk of hematologic malignancies at young ages and the rarity of solid malignancies was observed in both the NCI cohort and published studies. CONCLUSIONS SDS is a complex childhood illness with a narrow genotypic spectrum. Patients may first present to primary care, gastroenterology, orthopedic, and/or hematology clinics. Coordinated multidisciplinary care is important for diagnosis and patient management. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT00027274. IMPACT The clinical and genetic spectrum of Shwachman Diamond Syndrome was comprehensively evaluated, and the findings illustrate the importance of a multidisciplinary approach for these complex patients. Our work reveals: 1. a narrow genotypic spectrum in SDS; 2. a low risk of solid tumors in patients with SDS; 3. patients with SDS have clinical manifestations in multiple organ systems.
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Affiliation(s)
- Ashley S Thompson
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Neelam Giri
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - D Matthew Gianferante
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Kristine Jones
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Leidos Biomedical Research, Inc. Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Blanche P Alter
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Lisa J McReynolds
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
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19
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Savage SA, Jones K, Teshome K, Lori A, McReynolds LJ, Niewisch MR. Next-generation sequencing errors due to genetic variation in WRAP53 encoding TCAB1 on chromosome 17. Hum Mutat 2022; 43:1856-1859. [PMID: 36116037 PMCID: PMC9771914 DOI: 10.1002/humu.24469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 08/17/2022] [Accepted: 09/12/2022] [Indexed: 01/24/2023]
Abstract
Next-generation sequencing (NGS) is a valuable tool, but has limitations in sequencing through repetitive runs of single nucleotides (homopolymers). Pathogenic germline variants in WRAP53 encoding telomere Cajal body protein 1 (TCAB1) are a known cause of dyskeratosis congenita. We identified a significant NGS error in WRAP53, c.1562dup, p.Ala522Glyfs*8 (rs755116516 G>-/GG/GGG) that did not validate by Sanger sequencing. This error occurs because rs755116516 G>-/GG/GGG (Chr17:7,606,714) is polymorphic, and variants at this site challenge the ability of NGS to accurately call the correct number of nucleotides in a homopolymer run. This was further complicated by the fact that chr17:7,606,721 (rs769202794) is multiallelic G>A, C, T, and that chr17:7,606,722 is also multiallelic (rs7640C>A/G/T and rs373064567C>delC). In addition to the expert interpretation of potentially clinically actionable variants, it recommended that all variants in regions of the genome with homopolymers be validated by Sanger sequencing before clinical action.
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Affiliation(s)
- Sharon A. Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Kristine Jones
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Leidos Biomedical Research, Inc. Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Kedest Teshome
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Leidos Biomedical Research, Inc. Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | | | - Lisa J. McReynolds
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Marena R. Niewisch
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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20
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Hatton JN, Sargen MR, Frone MN, de Andrade KC, Savage SA, Khincha PP. Spectrum and Incidence of Skin Cancer among Individuals with Li-Fraumeni Syndrome. J Invest Dermatol 2022; 142:2534-2537.e1. [PMID: 35183552 PMCID: PMC9381642 DOI: 10.1016/j.jid.2022.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 02/03/2022] [Accepted: 02/08/2022] [Indexed: 10/19/2022]
Affiliation(s)
- Jessica N Hatton
- Clinical Genetics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, USA.
| | - Michael R Sargen
- Clinical Genetics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Megan N Frone
- Clinical Genetics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Kelvin C de Andrade
- Clinical Genetics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Payal P Khincha
- Clinical Genetics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, USA
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21
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McReynolds LJ, Rafati M, Wang Y, Ballew BJ, Kim J, Williams VV, Zhou W, Hendricks RM, Dagnall C, Freedman ND, Carter B, Strollo S, Hicks B, Zhu B, Jones K, Paczesny S, Marsh SGE, Spellman SR, He M, Wang T, Lee SJ, Savage SA, Gadalla SM. Genetic testing in severe aplastic anemia is required for optimal hematopoietic cell transplant outcomes. Blood 2022; 140:909-921. [PMID: 35776903 PMCID: PMC9412004 DOI: 10.1182/blood.2022016508] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 06/17/2022] [Indexed: 11/20/2022] Open
Abstract
Patients with severe aplastic anemia (SAA) can have an unrecognized inherited bone marrow failure syndrome (IBMFS) because of phenotypic heterogeneity. We curated germline genetic variants in 104 IBMFS-associated genes from exome sequencing performed on 732 patients who underwent hematopoietic cell transplant (HCT) between 1989 and 2015 for acquired SAA. Patients with pathogenic or likely pathogenic (P/LP) variants fitting known disease zygosity patterns were deemed unrecognized IBMFS. Carriers were defined as patients with a single P/LP variant in an autosomal recessive gene or females with an X-linked recessive P/LP variant. Cox proportional hazard models were used for survival analysis with follow-up until 2017. We identified 113 P/LP single-nucleotide variants or small insertions/deletions and 10 copy number variants across 42 genes in 121 patients. Ninety-one patients had 105 in silico predicted deleterious variants of uncertain significance (dVUS). Forty-eight patients (6.6%) had an unrecognized IBMFS (33% adults), and 73 (10%) were carriers. No survival difference between dVUS and acquired SAA was noted. Compared with acquired SAA (no P/LP variants), patients with unrecognized IBMFS, but not carriers, had worse survival after HCT (IBMFS hazard ratio [HR], 2.13; 95% confidence interval[CI], 1.40-3.24; P = .0004; carriers HR, 0.96; 95% CI, 0.62-1.50; P = .86). Results were similar in analyses restricted to patients receiving reduced-intensity conditioning (n = 448; HR IBMFS = 2.39; P = .01). The excess mortality risk in unrecognized IBMFS attributed to death from organ failure (HR = 4.88; P < .0001). Genetic testing should be part of the diagnostic evaluation for all patients with SAA to tailor therapeutic regimens. Carriers of a pathogenic variant in an IBMFS gene can follow HCT regimens for acquired SAA.
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Affiliation(s)
| | | | | | - Bari J Ballew
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
- Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD
| | | | | | - Weiyin Zhou
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
- Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD
| | | | - Casey Dagnall
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
- Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD
| | - Neal D Freedman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Brian Carter
- Department of Population Science, American Cancer Society, Atlanta, GA
| | - Sara Strollo
- Department of Population Science, American Cancer Society, Atlanta, GA
| | - Belynda Hicks
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
- Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD
| | - Bin Zhu
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
- Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD
| | - Kristine Jones
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
- Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD
| | - Sophie Paczesny
- Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC
| | - Steven G E Marsh
- Anthony Nolan Research Institute and University College London Cancer Institute, London, United Kingdom
| | - Stephen R Spellman
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program, Minneapolis, MN
| | - Meilun He
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program, Minneapolis, MN
| | - Tao Wang
- Center for International Blood and Marrow Transplant Research and
- Division of Biostatistics, Medical College of Wisconsin, Milwaukee, WI; and
| | - Stephanie J Lee
- Center for International Blood and Marrow Transplant Research and
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
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22
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Banday AR, Stanifer ML, Florez-Vargas O, Onabajo OO, Papenberg BW, Zahoor MA, Mirabello L, Ring TJ, Lee CH, Albert PS, Andreakos E, Arons E, Barsh G, Biesecker LG, Boyle DL, Brahier MS, Burnett-Hartman A, Carrington M, Chang E, Choe PG, Chisholm RL, Colli LM, Dalgard CL, Dude CM, Edberg J, Erdmann N, Feigelson HS, Fonseca BA, Firestein GS, Gehring AJ, Guo C, Ho M, Holland S, Hutchinson AA, Im H, Irby L, Ison MG, Joseph NT, Kim HB, Kreitman RJ, Korf BR, Lipkin SM, Mahgoub SM, Mohammed I, Paschoalini GL, Pacheco JA, Peluso MJ, Rader DJ, Redden DT, Ritchie MD, Rosenblum B, Ross ME, Anna HPS, Savage SA, Sharma S, Siouti E, Smith AK, Triantafyllia V, Vargas JM, Vargas JD, Verma A, Vij V, Wesemann DR, Yeager M, Yu X, Zhang Y, Boulant S, Chanock SJ, Feld JJ, Prokunina-Olsson L. Genetic regulation of OAS1 nonsense-mediated decay underlies association with COVID-19 hospitalization in patients of European and African ancestries. Nat Genet 2022; 54:1103-1116. [PMID: 35835913 PMCID: PMC9355882 DOI: 10.1038/s41588-022-01113-z] [Citation(s) in RCA: 47] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 05/26/2022] [Indexed: 12/22/2022]
Abstract
The chr12q24.13 locus encoding OAS1-OAS3 antiviral proteins has been associated with coronavirus disease 2019 (COVID-19) susceptibility. Here, we report genetic, functional and clinical insights into this locus in relation to COVID-19 severity. In our analysis of patients of European (n = 2,249) and African (n = 835) ancestries with hospitalized versus nonhospitalized COVID-19, the risk of hospitalized disease was associated with a common OAS1 haplotype, which was also associated with reduced severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) clearance in a clinical trial with pegIFN-λ1. Bioinformatic analyses and in vitro studies reveal the functional contribution of two associated OAS1 exonic variants comprising the risk haplotype. Derived human-specific alleles rs10774671-A and rs1131454 -A decrease OAS1 protein abundance through allele-specific regulation of splicing and nonsense-mediated decay (NMD). We conclude that decreased OAS1 expression due to a common haplotype contributes to COVID-19 severity. Our results provide insight into molecular mechanisms through which early treatment with interferons could accelerate SARS-CoV-2 clearance and mitigate against severe COVID-19.
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Affiliation(s)
- A Rouf Banday
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Megan L Stanifer
- Department of Infectious Diseases, Molecular Virology, University Hospital Heidelberg, Heidelberg, Germany
- Department of Molecular Genetics and Microbiology, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Oscar Florez-Vargas
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Olusegun O Onabajo
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Brenen W Papenberg
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Muhammad A Zahoor
- Toronto Centre for Liver Disease, Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Lisa Mirabello
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Timothy J Ring
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Chia-Han Lee
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Paul S Albert
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Evangelos Andreakos
- Laboratory of Immunobiology, Center for Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Evgeny Arons
- Laboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Greg Barsh
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Leslie G Biesecker
- Center for Precision Health Research, National Human Genome Research Institute, Bethesda, MD, USA
| | - David L Boyle
- Altman Clinical & Translational Research Institute, UC San Diego Health Sciences, San Diego, CA, USA
| | - Mark S Brahier
- Georgetown University School of Medicine, Washington, DC, USA
| | | | - Mary Carrington
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA
- Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Euijin Chang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Pyoeng Gyun Choe
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Rex L Chisholm
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Leandro M Colli
- Department of Medical Imaging, Hematology, and Oncology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Clifton L Dalgard
- Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Carolynn M Dude
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA
| | - Jeff Edberg
- Department of Medicine, Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Nathan Erdmann
- Department of Medicine, Division of Infectious Diseases, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Benedito A Fonseca
- Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Gary S Firestein
- Altman Clinical & Translational Research Institute, UC San Diego Health Sciences, San Diego, CA, USA
| | - Adam J Gehring
- Toronto Centre for Liver Disease, Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Cuncai Guo
- Division of Cellular Polarity and Viral Infection, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Michelle Ho
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Steven Holland
- Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA
| | - Amy A Hutchinson
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Hogune Im
- Genome Opinion, Inc., Seoul, Republic of Korea
| | - Les'Shon Irby
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA
| | - Michael G Ison
- Divisions of Infectious Diseases and Organ Transplantation, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Naima T Joseph
- Department of Obstetrics & Gynecology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Hong Bin Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Robert J Kreitman
- Laboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Bruce R Korf
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Steven M Lipkin
- Department of Medicine and Program in Mendelian Genetics, Weill Cornell Medicine, New York, NY, USA
| | - Siham M Mahgoub
- Department of Medicine, Infectious Diseases Division, Howard University Hospital, Howard University College of Medicine, Washington, DC, USA
| | - Iman Mohammed
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Guilherme L Paschoalini
- Department of Medical Imaging, Hematology, and Oncology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Jennifer A Pacheco
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Michael J Peluso
- Division of HIV, Infectious Diseases and Global Medicine, University of California, San Francisco, CA, USA
| | - Daniel J Rader
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David T Redden
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Marylyn D Ritchie
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Brooke Rosenblum
- Center for Precision Health Research, National Human Genome Research Institute, Bethesda, MD, USA
| | - M Elizabeth Ross
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Hanaisa P Sant Anna
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Sudha Sharma
- Department of Biochemistry and Molecular Biology, National Human Genome Center, Howard University College of Medicine, Washington, DC, USA
| | - Eleni Siouti
- Laboratory of Immunobiology, Center for Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Alicia K Smith
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA
| | - Vasiliki Triantafyllia
- Laboratory of Immunobiology, Center for Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Joselin M Vargas
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jose D Vargas
- Veterans Affairs Medical Center, Washington, DC, USA
| | - Anurag Verma
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Vibha Vij
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Duane R Wesemann
- Department of Medicine, Division of Allergy and Immunology, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Xu Yu
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Yu Zhang
- Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA
| | - Steeve Boulant
- Department of Molecular Genetics and Microbiology, College of Medicine, University of Florida, Gainesville, FL, USA
- Division of Cellular Polarity and Viral Infection, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Infectious Diseases, Virology, University Hospital Heidelberg, Heidelberg, Germany
| | - Stephen J Chanock
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jordan J Feld
- Toronto Centre for Liver Disease, Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Ludmila Prokunina-Olsson
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
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23
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Niewisch MR, Kim J, Lunger JC, McReynolds LJ, Savage SA. Abstract 4108: Understanding the role of telomere biology gene variation in cancer etiology. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-4108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Telomere biology disorders (TBDs) are cancer-prone syndromes associated with increased risk of acute myeloid leukemia (AML), head and neck squamous cell carcinoma (HNSCC), bone marrow failure, pulmonary fibrosis, and liver disease. Germline variants in at least 15 different telomere biology genes have been implicated (ACD, CTC1, TERT, TERC, STN1, NAF1, NOP10, NHP2, TINF2, RTEL1, PARN, ZCCHC8, DKC1, WRAP53, POT1) with autosomal dominant (AD), autosomal recessive (AR), or X-linked (XLR) inheritance as well as de novo occurrence. We hypothesize that TBDs may be more common than the currently estimated 1:1,000,000.
We analyzed the prevalence of germline variants in the 15 TBD-associated genes using 1) The Genome Aggregation Database [gnomAD v2.1.1 non-cancer] and 2) The Cancer Genome Atlas (TCGA). Germline TCGA variants were called using HaplotypeCaller, Freebayes, and UnifiedGenotyper. All variants with minor allele frequency (MAF) <1% in gnomAD non-cancer were considered. They were classified as potentially deleterious based on ClinVar and/or loss of function classification and/or stringent in silico predictions utilizing REVEL, MetaSVM, CADD, BayesDel, Eigen for missense and a combination of spliceAI, spidex, and dbscSNV for splice site variants. For TERC (RNA telomerase template) variants in the pseudoknot/template region were considered deleterious. The known disease-causing inheritance pattern (AD, AR, XLR) for each gene was used to identify TCGA cases with a probable TBD.
There were 1215 potentially deleterious variants in TBD associated genes in the gnomAD v2.1.1 non-cancer dataset (n=134,187 samples) for a combined prevalence of 0.9%, without accounting for zygosity. In genes with AD/AR inheritance, variants were most common in: RTEL1 (249), TERT (104), and PARN (104). CTC1 and WRAP53, both associated with solely AR TBDs, also showed high variant frequencies (280 and 102, respectively). In the TCGA dataset, 9089 cancer cases (32 solid tumors and AML) were evaluated. We identified 227 cases (2.5%) with 161 mono- or biallelic rare, potentially deleterious variants in the 15 genes. Ninety-two cases had a probable underlying TBD [1% of total, 41 male, 51 female, median age at cancer diagnosis 46.5 (1-92) years]. Cancer diagnoses in these 92 cases included 24 solid tumors. The frequency of individuals with deleterious TBD-associated variants ranged from 0.4-2.8% in each of the 24 affected cancers. Notably, the heterozygous frequencies in lung squamous cell carcinoma and liver hepatocellular carcinoma were 1.6% and 2.2%, respectively. Our results show that the prevalence of TBDs may be noticeably higher than previously estimated, specifically in individuals with cancer. TBD-associated pathogenic germline variants may be implicated in the etiology of more solid tumor entities than previously recognized, warranting further studies.
Citation Format: Marena R. Niewisch, Jung Kim, Judith C. Lunger, Lisa J. McReynolds, Sharon A. Savage. Understanding the role of telomere biology gene variation in cancer etiology [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 4108.
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Affiliation(s)
| | - Jung Kim
- 1National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Judith C. Lunger
- 1National Cancer Institute, National Institutes of Health, Bethesda, MD
| | | | - Sharon A. Savage
- 1National Cancer Institute, National Institutes of Health, Bethesda, MD
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24
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Subasri V, Brew B, Erdman L, Guha T, Hansford JR, Cairney E, Portwine C, Elser C, Finlay JL, Nichols KE, Kohlmann W, Alon N, Novokmet A, Brunga L, Villani A, de Andrade KC, Khincha PP, Savage SA, Schiffman JD, Malkin D, Goldenberg A. Abstract 1428: DNA methylation predicts early onset of primary tumor in patients with Li-Fraumeni syndrome. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-1428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Li-Fraumeni syndrome (LFS) is an autosomal dominant cancer predisposition syndrome. Approximately 80% of individuals with LFS harbor a germline TP53 pathogenic variant rendering them susceptible to a wide spectrum of early-onset malignancies. A comprehensive surveillance regimen termed the ‘Toronto Protocol’, has recently been adopted for early tumor detection, demonstrating significant improvement in survival among TP53 pathogenic variant carriers. However, the protocol’s “one-size-fits-all” approach fails to consider an individual patient's risk of cancer. We built a machine learning model that predicts early-onset of primary tumors in LFS by estimating the probability of cancer onset before the age of six years, leveraging patient peripheral blood leukocyte methylation profiles.
Methods: We built a gradient-boosted tree model to predict the probability of cancer onset before the age of six using methylation data from 288 TP53 pathogenic variant carriers. An external test set of 82 TP53 pathogenic variant carriers was used to validate our model. To increase the signal-to-noise ratio, methylation probes associated with TP53 status were retained and probes associated with aging were removed. In our study, we were primarily interested in minimizing the false negative rate (i.e. to reduce the number of patients who developed cancer before the age of six but were undetected by our algorithm.
Findings: We correctly predicted whether the first tumor will occur before the age of six with an accuracy of 79% in our external test set. Importantly, our model classified 90% of the patients that developed cancer prior to the age of six correctly. In addition, 81% of the individuals without cancer in the external test set were predicted correctly.
Interpretation: Our tool provides additional value to clinicians in stratifying patients into low- or high-risk groups of developing early-onset malignancies, and helps inform rational use of clinical surveillance tools for early cancer detection, with the ultimate aim to improve overall patient outcomes.
Citation Format: Vallijah Subasri, Benjamin Brew, Lauren Erdman, Tanya Guha, Jordan R. Hansford, Elizabeth Cairney, Carol Portwine, Christine Elser, Jonathan L. Finlay, Kim E. Nichols, Wendy Kohlmann, Noa Alon, Ana Novokmet, Ledia Brunga, Anita Villani, Kelvin C. de Andrade, Payal P. Khincha, Sharon A. Savage, Joshua D. Schiffman, David Malkin, Anna Goldenberg. DNA methylation predicts early onset of primary tumor in patients with Li-Fraumeni syndrome [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1428.
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Affiliation(s)
| | - Benjamin Brew
- 1The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Lauren Erdman
- 1The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Tanya Guha
- 1The Hospital for Sick Children, Toronto, Ontario, Canada
| | | | | | | | | | | | | | | | - Noa Alon
- 1The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Ana Novokmet
- 1The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Ledia Brunga
- 1The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Anita Villani
- 1The Hospital for Sick Children, Toronto, Ontario, Canada
| | | | | | | | | | - David Malkin
- 1The Hospital for Sick Children, Toronto, Ontario, Canada
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25
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Linet MS, Dores GM, Savage SA. Uncovering the genetic etiology of the (post-therapy) broken heart. J Natl Cancer Inst 2022; 114:1054-1056. [PMID: 35698269 DOI: 10.1093/jnci/djac116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 06/02/2022] [Indexed: 11/14/2022] Open
Affiliation(s)
- Martha S Linet
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA
| | - Graça M Dores
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA
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26
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Hoyos D, Zappasodi R, Schulze I, Sethna Z, de Andrade KC, Bajorin DF, Bandlamudi C, Callahan MK, Funt SA, Hadrup SR, Holm JS, Rosenberg JE, Shah SP, Vázquez-García I, Weigelt B, Wu M, Zamarin D, Campitelli LF, Osborne EJ, Klinger M, Robins HS, Khincha PP, Savage SA, Balachandran VP, Wolchok JD, Hellmann MD, Merghoub T, Levine AJ, Łuksza M, Greenbaum BD. Author Correction: Fundamental immune-oncogenicity trade-offs define driver mutation fitness. Nature 2022; 606:E5. [PMID: 35641605 PMCID: PMC9200628 DOI: 10.1038/s41586-022-04879-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- David Hoyos
- Computational Oncology, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Roberta Zappasodi
- Swim Across America Laboratory and Ludwig Collaborative, Immunology Program, Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA. .,Department of Medicine, Weill Cornell Medical College, New York, NY, USA. .,Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA. .,Immunology and Microbial Pathogenesis Program, Weill Cornell Graduate School of Medical Sciences, New York, NY, USA.
| | - Isabell Schulze
- Swim Across America Laboratory and Ludwig Collaborative, Immunology Program, Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Zachary Sethna
- Computational Oncology, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kelvin César de Andrade
- Division of Cancer Epidemiology and Genetics, Clinical Genetics Branch, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Dean F Bajorin
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA.,Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Chaitanya Bandlamudi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Margaret K Callahan
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA.,Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Samuel A Funt
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA.,Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sine R Hadrup
- Experimental and Translational Immunology, Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Jeppe S Holm
- Experimental and Translational Immunology, Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Jonathan E Rosenberg
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA.,Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sohrab P Shah
- Computational Oncology, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Physiology, Biophysics & Systems Biology, Weill Cornell Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Ignacio Vázquez-García
- Computational Oncology, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Britta Weigelt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michelle Wu
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Dmitriy Zamarin
- Swim Across America Laboratory and Ludwig Collaborative, Immunology Program, Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Department of Medicine, Weill Cornell Medical College, New York, NY, USA.,Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | | | | | - Payal P Khincha
- Division of Cancer Epidemiology and Genetics, Clinical Genetics Branch, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Sharon A Savage
- Division of Cancer Epidemiology and Genetics, Clinical Genetics Branch, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Vinod P Balachandran
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA.,Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jedd D Wolchok
- Swim Across America Laboratory and Ludwig Collaborative, Immunology Program, Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Department of Medicine, Weill Cornell Medical College, New York, NY, USA.,Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Matthew D Hellmann
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA.,Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Taha Merghoub
- Swim Across America Laboratory and Ludwig Collaborative, Immunology Program, Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA. .,Department of Medicine, Weill Cornell Medical College, New York, NY, USA. .,Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA. .,Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Arnold J Levine
- Simons Center for Systems Biology, Institute for Advanced Study, Princeton, NJ, USA
| | - Marta Łuksza
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Benjamin D Greenbaum
- Computational Oncology, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA. .,Physiology, Biophysics & Systems Biology, Weill Cornell Medicine, Weill Cornell Medical College, New York, NY, USA.
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27
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Hoyos D, Zappasodi R, Schulze I, Sethna Z, de Andrade KC, Bajorin DF, Bandlamudi C, Callahan MK, Funt SA, Hadrup SR, Holm JS, Rosenberg JE, Shah SP, Vázquez-García I, Weigelt B, Wu M, Zamarin D, Campitelli LF, Osborne EJ, Klinger M, Robins HS, Khincha PP, Savage SA, Balachandran VP, Wolchok JD, Hellmann MD, Merghoub T, Levine AJ, Łuksza M, Greenbaum BD. Fundamental immune-oncogenicity trade-offs define driver mutation fitness. Nature 2022; 606:172-179. [PMID: 35545680 PMCID: PMC9159948 DOI: 10.1038/s41586-022-04696-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Accepted: 03/28/2022] [Indexed: 12/29/2022]
Abstract
Missense driver mutations in cancer are concentrated in a few hotspots1. Various mechanisms have been proposed to explain this skew, including biased mutational processes2, phenotypic differences3-6 and immunoediting of neoantigens7,8; however, to our knowledge, no existing model weighs the relative contribution of these features to tumour evolution. We propose a unified theoretical 'free fitness' framework that parsimoniously integrates multimodal genomic, epigenetic, transcriptomic and proteomic data into a biophysical model of the rate-limiting processes underlying the fitness advantage conferred on cancer cells by driver gene mutations. Focusing on TP53, the most mutated gene in cancer1, we present an inference of mutant p53 concentration and demonstrate that TP53 hotspot mutations optimally solve an evolutionary trade-off between oncogenic potential and neoantigen immunogenicity. Our model anticipates patient survival in The Cancer Genome Atlas and patients with lung cancer treated with immunotherapy as well as the age of tumour onset in germline carriers of TP53 variants. The predicted differential immunogenicity between hotspot mutations was validated experimentally in patients with cancer and in a unique large dataset of healthy individuals. Our data indicate that immune selective pressure on TP53 mutations has a smaller role in non-cancerous lesions than in tumours, suggesting that targeted immunotherapy may offer an early prophylactic opportunity for the former. Determining the relative contribution of immunogenicity and oncogenic function to the selective advantage of hotspot mutations thus has important implications for both precision immunotherapies and our understanding of tumour evolution.
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Affiliation(s)
- David Hoyos
- Computational Oncology, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Roberta Zappasodi
- Swim Across America Laboratory and Ludwig Collaborative, Immunology Program, Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA.
- Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Immunology and Microbial Pathogenesis Program, Weill Cornell Graduate School of Medical Sciences, New York, NY, USA.
| | - Isabell Schulze
- Swim Across America Laboratory and Ludwig Collaborative, Immunology Program, Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Zachary Sethna
- Computational Oncology, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kelvin César de Andrade
- Division of Cancer Epidemiology and Genetics, Clinical Genetics Branch, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Dean F Bajorin
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Chaitanya Bandlamudi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Margaret K Callahan
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Samuel A Funt
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sine R Hadrup
- Experimental and Translational Immunology, Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Jeppe S Holm
- Experimental and Translational Immunology, Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Jonathan E Rosenberg
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sohrab P Shah
- Computational Oncology, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Physiology, Biophysics & Systems Biology, Weill Cornell Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Ignacio Vázquez-García
- Computational Oncology, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Britta Weigelt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michelle Wu
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Dmitriy Zamarin
- Swim Across America Laboratory and Ludwig Collaborative, Immunology Program, Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | | | | | - Payal P Khincha
- Division of Cancer Epidemiology and Genetics, Clinical Genetics Branch, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Sharon A Savage
- Division of Cancer Epidemiology and Genetics, Clinical Genetics Branch, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Vinod P Balachandran
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jedd D Wolchok
- Swim Across America Laboratory and Ludwig Collaborative, Immunology Program, Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Matthew D Hellmann
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Taha Merghoub
- Swim Across America Laboratory and Ludwig Collaborative, Immunology Program, Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA.
- Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Arnold J Levine
- Simons Center for Systems Biology, Institute for Advanced Study, Princeton, NJ, USA
| | - Marta Łuksza
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Benjamin D Greenbaum
- Computational Oncology, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Physiology, Biophysics & Systems Biology, Weill Cornell Medicine, Weill Cornell Medical College, New York, NY, USA.
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28
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Pearce EE, Alsaggaf R, Katta S, Dagnall C, Aubert G, Hicks BD, Spellman SR, Savage SA, Horvath S, Gadalla SM. Telomere length and epigenetic clocks as markers of cellular aging: a comparative study. GeroScience 2022; 44:1861-1869. [PMID: 35585300 DOI: 10.1007/s11357-022-00586-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Accepted: 05/06/2022] [Indexed: 12/11/2022] Open
Abstract
Telomere length (TL) and DNA methylation-based epigenetic clocks are markers of biological age, but the relationship between the two is not fully understood. Here, we used multivariable regression models to evaluate the relationships between leukocyte TL (LTL; measured by qPCR [n = 635] or flow FISH [n = 144]) and five epigenetic clocks (Hannum, DNAmAge pan-tissue, PhenoAge, SkinBlood, or GrimAge clocks), or their epigenetic age acceleration measures in healthy adults (age 19-61 years). LTL showed statistically significant negative correlations with all clocks (qPCR: r = - 0.26 to - 0.32; flow FISH: r = - 0.34 to - 0.49; p < 0.001 for all). Yet, models adjusted for age, sex, and race revealed significant associations between three of five clocks (PhenoAge, GrimAge, and Hannum clocks) and LTL by flow FISH (p < 0.01 for all) or qPCR (p < 0.001 for all). Significant associations between age acceleration measures for the same three clocks and qPCR or flow FISH TL were also found (p < 0.01 for all). Additionally, LTL (by qPCR or flow FISH) showed significant associations with extrinsic epigenetic age acceleration (EEAA: p < 0.0001 for both), but not intrinsic epigenetic age acceleration (IEAA; p > 0.05 for both). In conclusion, the relationships between LTL and epigenetic clocks were limited to clocks reflecting phenotypic age. The observed association between LTL and EEAA reflects the ability of both measures to detect immunosenescence. The observed modest correlations between LTL and epigenetic clocks highlight a possible benefit from incorporating both measures in understanding disease etiology and prognosis.
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Affiliation(s)
- Emily E Pearce
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
| | - Rotana Alsaggaf
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Shilpa Katta
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.,Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD, 21701, USA
| | - Casey Dagnall
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.,Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD, 21701, USA
| | - Geraldine Aubert
- Terry Fox Laboratory, British Columbia Cancer Agency, Vancouver, BC, V5Z 1L3, Canada
| | - Belynda D Hicks
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.,Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD, 21701, USA
| | - Stephen R Spellman
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN, 55401, USA
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, CA, 90095, USA
| | - Shahinaz M Gadalla
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
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29
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de Andrade KC, Lee EE, Tookmanian EM, Kesserwan CA, Manfredi JJ, Hatton JN, Loukissas JK, Zavadil J, Zhou L, Olivier M, Frone MN, Shahzada O, Longabaugh WJR, Kratz CP, Malkin D, Hainaut P, Savage SA. The TP53 Database: transition from the International Agency for Research on Cancer to the US National Cancer Institute. Cell Death Differ 2022; 29:1071-1073. [PMID: 35352025 PMCID: PMC9090805 DOI: 10.1038/s41418-022-00976-3] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 02/28/2022] [Accepted: 03/04/2022] [Indexed: 01/16/2023] Open
Affiliation(s)
- Kelvin César de Andrade
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Elise M Tookmanian
- Office of the Director, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Chimene A Kesserwan
- Genetics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - James J Manfredi
- Department of Oncological Sciences and Tisch Cancer Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jessica N Hatton
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jennifer K Loukissas
- Office of the Director, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Jiri Zavadil
- Epigenomics and Mechanisms Branch, International Agency for Research on Cancer, WHO, Lyon, France
| | - Lei Zhou
- Department of Molecular Genetics & Microbiology, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Magali Olivier
- Epigenomics and Mechanisms Branch, International Agency for Research on Cancer, WHO, Lyon, France
| | - Megan N Frone
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Owais Shahzada
- General Dynamics Information Technology, Rockville, MD, USA
| | | | - Christian P Kratz
- Pediatric Hematology and Oncology, Hannover Medical School, Hannover, Germany
| | - David Malkin
- Division of Hematology/Oncology, The Hospital for Sick Children, Department of Pediatrics, University of Toronto, Toronto, ON, Canada
| | - Pierre Hainaut
- Institute for Advanced Biosciences, Institut National de la Santé et de la Recherche Médicale 1209 Centre National de la Recherche Scientifique, 5309, Universitè Grenoble Alpes, Grenoble, France
| | - 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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Niewisch MR, Giri N, McReynolds LJ, Alsaggaf R, Bhala S, Alter BP, Savage SA. Disease progression and clinical outcomes in telomere biology disorders. Blood 2022; 139:1807-1819. [PMID: 34852175 PMCID: PMC8952184 DOI: 10.1182/blood.2021013523] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 11/11/2021] [Indexed: 11/20/2022] Open
Abstract
Dyskeratosis congenita related telomere biology disorders (DC/TBDs) are characterized by very short telomeres caused by germline pathogenic variants in telomere biology genes. Clinical presentations can affect all organs, and inheritance patterns include autosomal dominant (AD), autosomal recessive (AR), X-linked (XLR), or de novo. This study examined the associations between mode of inheritance with phenotypes and long-term clinical outcomes. Two hundred thirty-one individuals with DC/TBDs (144 male, 86.6% known genotype, median age at diagnosis 19.4 years [range 0 to 71.6]), enrolled in the National Cancer Institute's Inherited Bone Marrow Failure Syndrome Study, underwent detailed clinical assessments and longitudinal follow-up (median follow-up 5.2 years [range 0 to 36.7]). Patients were grouped by inheritance pattern, considering AD-nonTINF2, AR/XLR, and TINF2 variants separately. Severe bone marrow failure (BMF), severe liver disease, and gastrointestinal telangiectasias were more prevalent in AR/XLR or TINF2 disease, whereas pulmonary fibrosis developed predominantly in adults with AD disease. After adjusting for age at DC/TBD diagnosis, we observed the highest cancer risk in AR/XLR individuals. At last follow-up, 42% of patients were deceased with a median overall survival (OS) of 52.8 years (95% confidence interval [CI] 45.5-57.6), and the hematopoietic cell or solid organ transplant-free median survival was 45.3 years (95% CI 37.4-52.1). Significantly better OS was present in AD vs AR/XLR/TINF2 disease (P < .01), while patients with AR/XLR and TINF2 disease had similar survival probabilities. This long-term study of the clinical manifestations of DC/TBDs creates a foundation for incorporating the mode of inheritance into evidence-based clinical care guidelines and risk stratification in patients with DC/TBDs. This trial was registered at www.clinicaltrials.gov as #NCT00027274.
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Affiliation(s)
- Marena R Niewisch
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Neelam Giri
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Lisa J McReynolds
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Rotana Alsaggaf
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Sonia Bhala
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Blanche P Alter
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
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Savage SA, Baker J, Milton F, Butler C, Zeman A. Clinical outcomes in Transient Epileptic Amnesia: a 10-year follow-up cohort study of 47 cases. Epilepsia 2022; 63:1115-1129. [PMID: 35253220 PMCID: PMC9310913 DOI: 10.1111/epi.17214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 02/08/2022] [Accepted: 03/03/2022] [Indexed: 11/27/2022]
Abstract
Objective Transient epileptic amnesia (TEA) is a form of adult‐onset epilepsy where presenting features are well described, but little is known regarding prognosis. This study aimed to elucidate the long‐term prognosis of TEA regarding seizure control, memory, medical comorbidities, and life expectancy. Methods Up‐to‐date clinical information was collected for 47 people diagnosed with TEA who had joined the The Impairment of Memory in Epilepsy (TIME) study 10 years earlier. At entry to the study, information about comorbid conditions was systematically collected. Details regarding subsequent diagnoses, seizure activity, changes to treatment, or reports of cognitive impairment were obtained through the family doctor. The variables of interest were compared with UK population data. Results Mortality in the cohort was 21 of 47 (45%), with an average age at death of 82.5 years. Seizures remained well controlled for the majority but medications required adjustments in dose and type for some (28%). A small number (three cases) remained seizure‐free without medication. History of cardiovascular disorders was frequent (78.7%), typically involving hypertension (55.3%). Autoimmune disorders (25.5%), cancer (23.4%), and depression (21.3%) were also commonly reported. Although persisting memory problems were often noted, dementia was diagnosed in seven cases (14.9%). Life expectancy and comorbidities in TEA did not differ from available population norms. Significance Results suggest that life expectancy is not reduced in TEA. Although TEA does not appear to be a self‐limiting form of epilepsy, seizures are typically well controlled via medication. Because adjustments to medication may be required, even after long periods of stability, ongoing medical monitoring is recommended. Comorbid vascular disorders are frequent but appear similar to general population estimates. Monitoring mood may be important, given that people with chronic conditions are often vulnerable to depression. Because of persisting memory difficulties, the development of effective memory interventions for people with TEA is warranted.
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Affiliation(s)
- Sharon A Savage
- Cognitive & Behavioural Neurology, University of Exeter Medical School, College House, St Luke's Campus, Exeter, EX1 2LU, UK.,School of Psychological Sciences, University of Newcastle, Callaghan, New South Wales, 2308, Australia
| | - John Baker
- Cognitive & Behavioural Neurology, University of Exeter Medical School, College House, St Luke's Campus, Exeter, EX1 2LU, UK.,Dementia Research Centre, UCL Queen Square institute of Neurology, London, WC1N 3BG, UK
| | - Fraser Milton
- Discipline of Psychology, University of Exeter, Washington Singer Laboratories, Exeter, EX4 4QG, UK
| | - Chris Butler
- Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK.,Department of Brain Sciences, Imperial College, London, W12 0NN, UK
| | - Adam Zeman
- Cognitive & Behavioural Neurology, University of Exeter Medical School, College House, St Luke's Campus, Exeter, EX1 2LU, UK
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Thompson MB, Muldoon D, de Andrade KC, Giri N, Alter BP, Savage SA, Shamburek RD, Khincha PP. Lipoprotein particle alterations due to androgen therapy in individuals with dyskeratosis congenita. EBioMedicine 2021; 75:103760. [PMID: 34929494 PMCID: PMC8693311 DOI: 10.1016/j.ebiom.2021.103760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 11/29/2021] [Accepted: 12/01/2021] [Indexed: 12/01/2022] Open
Abstract
Background Dyskeratosis congenita (DC) is a telomere biology disorder associated with high rates of bone marrow failure (BMF) and other medical complications. Oral androgens are successfully used to treat BMF in DC but often have significant side effects, including elevation of serum lipids. This study sought to determine the extent to which oral androgen therapy altered lipid and lipoprotein levels. Methods Nuclear magnetic resonance (NMR) was used to evaluate serum lipid profiles, and lipoprotein particle number and size in nine androgen-treated individuals with DC, 45 untreated individuals with DC, 72 unaffected relatives of DC patients, and 19 untreated individuals with a different inherited BMF syndrome, Fanconi anaemia (FA). Findings Androgen-treated individuals with DC had significantly decreased serum HDL cholesterol, HDL particle number and HDL particle size (p < 0·001, p < 0·001 and p < 0·001, respectively); significantly increased serum LDL cholesterol and LDL particle number (p < 0·001, p < 0·001, respectively), decreased apoA-I and increased apoB (p < 0⋅001, p < 0⋅05 respectively) when compared with untreated individuals with DC. There were no significant lipid profile differences between untreated DC and untreated FA participants; or between untreated DC participants and their unaffected relatives. Branched chain amino acids and lipoprotein insulin resistance were not significantly different with androgen treatment. GlycA, an inflammatory acute phase reactant, was significantly increased with androgen treatment (p < 0⋅001). Interpretation Androgen treatment in DC creates an atherogenic lipoprotein profile, raising concern for the potential of elevated cardiovascular disease risk. Clinical guidelines for individuals on androgens for DC-related BMF should include cardiovascular disease monitoring. These findings could be relevant in individuals treated with androgen for other indications. Funding Intramural research programs of the Division of Cancer Epidemiology and Genetics of the National Cancer Institute and National Heart, Lung, and Blood Institute.
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Affiliation(s)
- Mone't B Thompson
- Clinical Genetics Branch, Division of Cancer and Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Daniel Muldoon
- Clinical Genetics Branch, Division of Cancer and Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kelvin C de Andrade
- Clinical Genetics Branch, Division of Cancer and Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Neelam Giri
- Clinical Genetics Branch, Division of Cancer and Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Blanche P Alter
- Clinical Genetics Branch, Division of Cancer and Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer and Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Robert D Shamburek
- Lipid Service, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Payal P Khincha
- Clinical Genetics Branch, Division of Cancer and Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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Frone MN, Stewart DR, Savage SA, Khincha PP. Quantification of Discordant Variant Interpretations in a Large Family-Based Study of Li-Fraumeni Syndrome. JCO Precis Oncol 2021; 5:PO.21.00320. [PMID: 34805717 PMCID: PMC8594664 DOI: 10.1200/po.21.00320] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 09/22/2021] [Accepted: 10/06/2021] [Indexed: 12/26/2022] Open
Abstract
PURPOSE The use of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology guidelines has improved germline variant classification concordance, but discrepancies persist, sometimes directly affecting medical management. We evaluated variant discordance between and within families with germline TP53 variants in the National Cancer Institute's Li-Fraumeni syndrome longitudinal cohort study. MATERIALS AND METHODS Germline TP53 genetic testing results were obtained from 421 individuals in 140 families. A discordant test result was defined as a report of pathogenicity that differed between two clinical testing laboratories, between a testing laboratory and the ClinVar database, or between either the laboratory or ClinVar database and variant classification by internal study review. RESULTS There were 141 variants in 140 families (one family had two different TP53 variants). Fifty-four families had discordant interpretations (54 of 140, 39%). Sixteen families had discordant classifications leading to clinically important differences in medical management (16 of 140, 11%). Interfamilial discordance was observed between four families (two different variants). Intrafamilial discordance was observed within six families. One family experienced both intrafamilial and interfamilial discordance. CONCLUSION This large single-gene study found discordant germline TP53 variant interpretations in 39% of families studied; 11% had a variant with the potential to significantly affect medical management. This finding is especially concerning in patients with Li-Fraumeni syndrome because of their exceedingly high risks of multiple cancers and intensive cancer screening and risk-reducing recommendations. Centralized data sharing, gene-specific variant curation guidelines, and provider education for consistent variant interpretation are essential for optimal patient care.
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Affiliation(s)
- Megan N Frone
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Douglas R Stewart
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Payal P Khincha
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
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de Andrade KC, Khincha PP, Hatton JN, Frone MN, Wegman-Ostrosky T, Mai PL, Best AF, Savage SA. Cancer incidence, patterns, and genotype-phenotype associations in individuals with pathogenic or likely pathogenic germline TP53 variants: an observational cohort study. Lancet Oncol 2021; 22:1787-1798. [PMID: 34780712 DOI: 10.1016/s1470-2045(21)00580-5] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 09/22/2021] [Accepted: 09/29/2021] [Indexed: 12/23/2022]
Abstract
BACKGROUND Li-Fraumeni syndrome, caused primarily by pathogenic or likely pathogenic germline TP53 variants, is a rare, variably penetrant, cancer predisposition syndrome with very high risks of cancer starting in childhood, including the risk of multiple primary malignancies over an individual's lifespan. We aimed to characterise and quantify cancer incidence, patterns, and genotype-phenotype associations in individuals with pathogenic or likely pathogenic germline TP53 variants. METHODS This observational cohort study was done in 480 carriers of pathogenic or likely pathogenic germline TP53 variants enrolled in the National Cancer Institute's referral-based longitudinal Li-Fraumeni syndrome study between Aug 1, 2011, and March 24, 2020. Data on personal and family history of cancer were obtained through study questionnaires and validated by medical records. Variants were categorised on the basis of both loss-of-function (LOF) and dominant-negative effect (DNE) properties. Cancer incidence associated with Li-Fraumeni syndrome was compared with that of the general population using the Surveillance, Epidemiology, and End Results (SEER) 1975-2017 registry. Cancer incidence was evaluated with family-clustered Cox regression models and competing risk methods. This study is registered with ClinicalTrials.gov, NCT01443468. FINDINGS Individuals with Li-Fraumeni syndrome had a nearly 24 times higher incidence of any cancer than the general population (standardised incidence ratio 23·9; 95% CI 21·9-26·0), with the highest comparative incidence from childhood to 30 years of age. The overall cancer incidence remained 10·3 (95% CI 7·9-13·2) times higher than that of the general population after age 50 years. In women, when considering breast cancer as a competing risk, the probability of a first diagnosis of a non-breast cancer malignancy was substantially lower than that of any first cancer (24·4% [95% CI 19·6-30·5] vs 50·4% [43·5-56·5] by age 33·7 years). Overall, DNE_LOF and notDNE_LOF variants were associated with earlier age at first and second cancer compared with notDNE_notLOF and DNE_notLOF variants. The time interval from first to second cancer was shorter among carriers whose first cancer diagnoses were later in life. Multiple cancers were diagnosed within a short timeframe in some individuals, regardless of the order of cancer occurrence. INTERPRETATION This study adds granularity to the understanding of cancer incidence and patterns in individuals with pathogenic or likely pathogenic germline TP53 variants. Integration of age range-specific cancer incidence estimates, cancer-free survival by functional variant group, the potential impact of risk-reducing mastectomy on female cancer incidence, and data on subsequent malignancies will be important for the development of strategies to optimise cancer screening and management for these individuals. FUNDING Intramural Research Program, Division of Cancer Epidemiology and Genetics, National Institutes of Health.
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Affiliation(s)
- Kelvin César de Andrade
- 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.
| | - 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
| | - Talia Wegman-Ostrosky
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA; Basic Research Subdirection, Instituto Nacional de Cancerología (INCan) Mexico City, Mexico
| | - Phuong L Mai
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA; Center for Clinical Genetics and Genomics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Ana F Best
- Biometrics Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD, 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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Savage SA, Lampe LF, Nickels L. No negative impact of word retraining on vocabulary use or clarity of communication in semantic dementia. Neuropsychol Rehabil 2021; 33:193-225. [PMID: 34775908 DOI: 10.1080/09602011.2021.1993934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Word retraining techniques can improve picture naming of treated items in people with semantic dementia (SD). The utility of this, however, has been questioned given the propensity for under- and overgeneralization errors in naming in SD. Few studies have investigated the occurrence of such errors. This study examined whether, following tailored word retraining: (1) misuse of words increases, (2) the type of naming errors changes, and/or (3) clarity of communication is reduced. Performance on trained and untrained word naming from nine participants with SD who completed a word retraining programme were analysed. Responses from baseline and post-intervention assessments were coded for misuse (i.e., trained word produced for another target item), error type, and communication clarity. All participants showed significant improvement for trained vocabulary. There was no significant increase in misuse of words, with such errors occurring rarely. At a group level, there was an increased tendency toward omission errors for untrained items, and a reduction in semantically related responses. However, this did not impact on clarity scores with no consistent change across participants. In sum, we found no negative impacts following tailored word retraining, providing further evidence of the benefit of these programmes for individuals with SD.
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Affiliation(s)
- Sharon A Savage
- School of Psychological Sciences, The University of Newcastle, Callaghan, Australia
| | - Leonie F Lampe
- Department of Cognitive Science, Macquarie University, Sydney, Australia.,International Doctorate for Experimental Approaches to Language and Brain (IDEALAB), Universities of Groningen (NL), Potsdam (DE), Newcastle (UK) and Macquarie University, Sydney (AU)
| | - Lyndsey Nickels
- Department of Cognitive Science, Macquarie University, Sydney, Australia
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36
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Kratz CP, Freycon C, Maxwell KN, Nichols KE, Schiffman JD, Evans DG, Achatz MI, Savage SA, Weitzel JN, Garber JE, Hainaut P, Malkin D. Analysis of the Li-Fraumeni Spectrum Based on an International Germline TP53 Variant Data Set: An International Agency for Research on Cancer TP53 Database Analysis. JAMA Oncol 2021; 7:1800-1805. [PMID: 34709361 PMCID: PMC8554692 DOI: 10.1001/jamaoncol.2021.4398] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Questions What is the phenotypic spectrum associated with variants in TP53, the gene variant in persons with Li-Fraumeni syndrome, and what mechanisms underlie phenotypic differences? Findings In this cohort study, the phenotypes within the classification Li-Fraumeni spectrum were defined, and data from 3034 persons from 1282 families with data available in the International Agency for Research on Cancer TP53 Database were analyzed and classified to reveal meaningful differences in the TP53 variant distribution between patients who met vs those who did not meet Li-Fraumeni syndrome testing criteria. Meaning The study results suggest that this classification is a potential step toward understanding the factors that lead to phenotypic differences in the Li-Fraumeni spectrum and may serve as a model for the reclassification of other hereditary conditions with an increased cancer risk. Importance Li-Fraumeni syndrome is a cancer predisposition syndrome that is associated with a high, lifelong risk of a broad spectrum of cancers that is caused by pathogenic TP53 germline variants. A definition that reflects the broad phenotypic spectrum that has evolved since the gene discovery is lacking, and mechanisms leading to phenotypic differences remain largely unknown. Objective To define the phenotypic spectrum of Li-Fraumeni syndrome and conduct phenotype-genotype associations across the phenotypic spectrum. Design, Setting, and Participants We analyzed and classified the germline variant data set of the International Agency for Research on Cancer TP53 database that contains data on a cohort of 3034 persons from 1282 families reported in the scientific literature since 1990. We defined the term Li-Fraumeni spectrum to encompass (1) phenotypic Li-Fraumeni syndrome, defined by the absence of a pathogenic/likely pathogenic TP53 variant in persons/families meeting clinical Li-Fraumeni syndrome criteria; (2) Li-Fraumeni syndrome, defined by the presence of a pathogenic/likely pathogenic TP53 variant in persons/families meeting Li-Fraumeni syndrome testing criteria; (3) attenuated Li-Fraumeni syndrome, defined by the presence of a pathogenic/likely pathogenic TP53 variant in a person/family with cancer who does not meet Li-Fraumeni syndrome testing criteria; and (4) incidental Li-Fraumeni syndrome, defined by the presence of a pathogenic/likely pathogenic TP53 variant in a person/family without a history of cancer. Data analysis occurred from November 2020 to March 2021. Main Outcomes and Measures Differences in variant distribution and cancer characteristics in patients with a germline TP53 variant who met vs did not meet Li-Fraumeni syndrome testing criteria. Results Tumor spectra showed significant differences, with more early adrenal (n = 166, 6.5% vs n = 0), brain (n = 360, 14.17% vs n = 57, 7.46%), connective tissue (n = 303, 11.92% vs n = 56, 7.33%), and bone tumors (n = 279, 10.98% vs n = 3, 0.39%) in patients who met Li-Fraumeni syndrome genetic testing criteria (n = 2139). Carriers who did not meet Li-Fraumeni syndrome genetic testing criteria (n = 678) had more breast (n = 292, 38.22% vs n = 700, 27.55%) and other cancers, 45% of them occurring after age 45 years. Hotspot variants were present in both groups. Several variants were exclusively found in patients with Li-Fraumeni syndrome, while others where exclusively found in patients with attenuated Li-Fraumeni syndrome. In patients who met Li-Fraumeni syndrome genetic testing criteria, most TP53 variants were classified as pathogenic/likely pathogenic (1757 of 2139, 82.2%), whereas 40.4% (404 of 678) of TP53 variants identified in patients who did not meet the Li-Fraumeni syndrome genetic testing criteria were classified as variants of uncertain significance, conflicting results, likely benign, benign, or unknown. Conclusions and Relevance The findings of this cohort study suggest that this new classification, Li-Fraumeni spectrum, is a step toward understanding the factors that lead to phenotypic differences and may serve as a model for other cancer predisposition syndromes.
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Affiliation(s)
- Christian P Kratz
- Pediatric Hematology and Oncology, Hannover Medical School, Hannover, Germany
| | - Claire Freycon
- Department of Pediatrics, Grenoble Alpes University Hospital, Grenoble, France.,Institute for Advanced Biosciences, Institut National de la Santé et de la Recherche Médicale 1209 Centre National de la Recherche Scientifique 5309 Universitè Grenoble Alpes, Grenoble, France
| | - Kara N Maxwell
- Department of Medicine, Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Kim E Nichols
- Department of Oncology, St Jude Children's Research Hospital, Memphis, Tennessee
| | - Joshua D Schiffman
- Division of Pediatric Hematology/Oncology, Departments of Pediatrics and Oncological Sciences, Huntsman Cancer Institute, Salt Lake City, Utah
| | - D Gareth Evans
- Division of Evolution and Genomic Sciences, University of Manchester, Manchester Academic Health Science Centre, Manchester, England
| | - Maria I Achatz
- Oncology Center, Hospital Sirio-Libanes, Sao Paulo, Brazil
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | | | - Judy E Garber
- Harvard Medical School, Boston, Massachusetts.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Division of Population Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Pierre Hainaut
- Institute for Advanced Biosciences, Institut National de la Santé et de la Recherche Médicale 1209 Centre National de la Recherche Scientifique 5309 Universitè Grenoble Alpes, Grenoble, France
| | - David Malkin
- Division of Hematology/Oncology, The Hospital for Sick Children, Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada
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Alexander CM, Martyr A, Gamble LD, Savage SA, Quinn C, Morris RG, Collins R, Clare L. Does awareness of condition help people with mild-to-moderate dementia to live well? Findings from the IDEAL programme. BMC Geriatr 2021; 21:511. [PMID: 34563135 PMCID: PMC8467163 DOI: 10.1186/s12877-021-02468-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 09/06/2021] [Indexed: 01/07/2023] Open
Abstract
Background People living with dementia vary in awareness of their abilities. We explored awareness of the condition and diagnosis in people with mild-to-moderate dementia, and how this relates to quality of life, well-being, life satisfaction, and caregiver stress. Methods This study was a cross-sectional exploratory analysis of data from the IDEAL cohort, which recruited people with dementia living at home and available caregivers from 29 research sites in Great Britain. Our study included 917 people with mild-to-moderate dementia and 755 carers. Low and high awareness groups were derived from self-reported responses to a dementia representation measure. Logistic regression was used to explore predictors of awareness of condition and diagnosis using demographic, cognitive, functional and psychological measures, and the relationship with quality of life, well-being and life satisfaction (‘living well’), and caregiver stress. Results There were 83 people with low awareness of their condition. The remaining 834 people showed some awareness and 103 of these had high awareness of their condition and diagnosis. Psychosocial factors were stronger predictors of awareness than cognitive and functional ability. Those with higher awareness reported lower mood, and lower scores on indices of living well as well as lower optimism, self-efficacy and self-esteem. Low awareness was more likely in those aged 80y and above, and living in more socially deprived areas. No relationship was seen between caregiver stress and awareness. Conclusions Awareness of the condition and diagnosis varies in people with mild-to-moderate dementia and is relevant to the capability to live well. Awareness should be considered in person-centered clinical care. Supplementary Information The online version contains supplementary material available at 10.1186/s12877-021-02468-4.
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Affiliation(s)
- Catherine M Alexander
- REACH: The Centre for Research in Ageing and Cognitive Health, College of Medicine and Health, University of Exeter Medical School, University of Exeter, South Cloisters, St Luke's Campus, Exeter, EX1 2LU, UK.
| | - Anthony Martyr
- REACH: The Centre for Research in Ageing and Cognitive Health, College of Medicine and Health, University of Exeter Medical School, University of Exeter, South Cloisters, St Luke's Campus, Exeter, EX1 2LU, UK
| | - Laura D Gamble
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Sharon A Savage
- School of Psychology, The University of Newcastle, Australia, Newcastle, Australia
| | - Catherine Quinn
- Centre for Applied Dementia Studies, University of Bradford, Bradford, UK
| | - Robin G Morris
- Department of Psychology, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Rachel Collins
- REACH: The Centre for Research in Ageing and Cognitive Health, College of Medicine and Health, University of Exeter Medical School, University of Exeter, South Cloisters, St Luke's Campus, Exeter, EX1 2LU, UK
| | - Linda Clare
- REACH: The Centre for Research in Ageing and Cognitive Health, College of Medicine and Health, University of Exeter Medical School, University of Exeter, South Cloisters, St Luke's Campus, Exeter, EX1 2LU, UK.,National Institute for Health Research Applied Research Collaboration South-West Peninsula, Exeter, UK
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Abstract
BACKGROUND Awareness of the diagnosis or related changes in functioning varies in people with dementia (PwD), with implications for the well-being of PwD and their carers. Measuring awareness in a clinical setting could facilitate tailored support and optimize involvement in personal health and care decisions. This scoping review aimed to identify validated methods of assessing awareness in dementia and appraise their clinical utility. METHOD A systematic search was conducted of English-language publications that measured awareness in PwD, in 6 electronic databases. Search terms included dement*, Alzheimer*, Pick disease, and awareness, unawareness, anosognosia, insight, denial, metacognit*, or discrepanc*. RESULTS We screened 30,634 articles, finding 345 articles that met our inclusion criteria. We identified 76 measures, most commonly using a discrepancy questionnaire comparing evaluations of function by PwD and an informant. There were 30 awareness measures developed and validated for use in dementia populations but few designed for general clinical use. CONCLUSIONS Although we found a range of clinical indications for measuring awareness, there were few studies investigating clinical applications and few tools designed for clinical purposes. Further investigation and development of a person-centered tool could facilitate health and care choices in mild-to-moderate dementia.
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Affiliation(s)
- Catherine M. Alexander
- University of Exeter Medical School, South Cloisters, St Luke’s Campus, Exeter, United Kingdom,Catherine M. Alexander, University of Exeter Medical School, South Cloisters, St Luke’s Campus, Exeter EX1 2LU, United Kingdom.
| | - Anthony Martyr
- University of Exeter Medical School, South Cloisters, St Luke’s Campus, Exeter, United Kingdom
| | - Sharon A. Savage
- Psychology Department, University of Exeter, Washington Singer Laboratories, Streatham Campus, Exeter, United Kingdom
| | - Robin G. Morris
- King's College Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom
| | - Linda Clare
- University of Exeter Medical School, South Cloisters, St Luke’s Campus, Exeter, United Kingdom
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Brodie SA, Khincha PP, Giri N, Bouk AJ, Steinberg M, Dai J, Jessop L, Donovan FX, Chandrasekharappa SC, de Andrade KC, Maric I, Ellis SR, Mirabello L, Alter BP, Savage SA. Pathogenic germline IKZF1 variant alters hematopoietic gene expression profiles. Cold Spring Harb Mol Case Stud 2021; 7:mcs.a006015. [PMID: 34162668 PMCID: PMC8327879 DOI: 10.1101/mcs.a006015] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 05/28/2021] [Indexed: 12/03/2022] Open
Abstract
IKZF1 encodes Ikaros, a zinc finger–containing transcription factor crucial to the development of the hematopoietic system. Germline pathogenic variants in IKZF1 have been reported in patients with acute lymphocytic leukemia and immunodeficiency syndromes. Diamond–Blackfan anemia (DBA) is a rare inherited bone marrow failure syndrome characterized by erythroid hypoplasia, associated with a spectrum of congenital anomalies and an elevated risk of certain cancers. DBA is usually caused by heterozygous pathogenic variants in genes that function in ribosomal biogenesis; however, in many cases the genetic etiology is unknown. We identified a germline IKZF1 variant, rs757907717 C > T, in identical twins with DBA-like features and autoimmune gastrointestinal disease. rs757907717 C > T results in a p.R381C amino acid change in the IKZF1 Ik-x isoform (p.R423C on isoform Ik-1), which we show is associated with altered global gene expression and perturbation of transcriptional networks involved in hematopoietic system development. These data suggest that this missense substitution caused a DBA-like syndrome in this family because of alterations in hematopoiesis, including dysregulation of networks essential for normal erythropoiesis and the immune system.
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Affiliation(s)
- Seth A Brodie
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, Maryland 20850, USA
| | - Payal P Khincha
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Clinical Center, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Neelam Giri
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Clinical Center, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Aaron J Bouk
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, Maryland 20850, USA
| | - Mia Steinberg
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, Maryland 20850, USA
| | - Jieqiong Dai
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, Maryland 20850, USA
| | - Lea Jessop
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Clinical Center, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Frank X Donovan
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, Clinical Center, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Settara C Chandrasekharappa
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, Clinical Center, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Kelvin C de Andrade
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Clinical Center, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Irina Maric
- Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Steven R Ellis
- Department of Biochemistry and Molecular Biology, University of Louisville, Louisville, Kentucky 40292, USA
| | - Lisa Mirabello
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Clinical Center, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Blanche P Alter
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Clinical Center, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Clinical Center, National Institutes of Health, Bethesda, Maryland 20892, USA
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Penev A, Bazley A, Shen M, Boeke JD, Savage SA, Sfeir A. Alternative splicing is a developmental switch for hTERT expression. Mol Cell 2021; 81:2349-2360.e6. [PMID: 33852895 PMCID: PMC8943697 DOI: 10.1016/j.molcel.2021.03.033] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 03/17/2021] [Accepted: 03/19/2021] [Indexed: 01/02/2023]
Abstract
Telomere length control is critical for cellular lifespan and tumor suppression. Telomerase is transiently activated in the inner cell mass of the developing blastocyst to reset telomere reserves. Its silencing upon differentiation leads to gradual telomere shortening in somatic cells. Here, we report that transcriptional regulation through cis-regulatory elements only partially accounts for telomerase activation in pluripotent cells. Instead, developmental control of telomerase is primarily driven by an alternative splicing event, centered around hTERT exon 2. Skipping of exon 2 triggers hTERT mRNA decay in differentiated cells, and conversely, its retention promotes telomerase accumulation in pluripotent cells. We identify SON as a regulator of exon 2 alternative splicing and report a patient carrying a SON mutation and suffering from insufficient telomerase and short telomeres. In summary, our study highlights a critical role for hTERT alternative splicing in the developmental regulation of telomerase and implicates defective splicing in telomere biology disorders.
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Affiliation(s)
- Alex Penev
- Skirball Institute of Biomolecular Medicine, Department of Cell Biology, NYU School of Medicine, New York, NY 10016, USA
| | - Andrew Bazley
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | - Michael Shen
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | - Jef D Boeke
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA; Department of Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, NY 11201, USA
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Agnel Sfeir
- Skirball Institute of Biomolecular Medicine, Department of Cell Biology, NYU School of Medicine, New York, NY 10016, USA.
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41
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Giri N, Alter BP, Savage SA, Stratton P. Gynaecological and reproductive health of women with telomere biology disorders. Br J Haematol 2021; 193:1238-1246. [PMID: 34019708 DOI: 10.1111/bjh.17545] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 04/18/2021] [Indexed: 12/19/2022]
Abstract
Reproductive health may be adversely impacted in women with dyskeratosis congenita (DC) and related telomere biology disorders (TBD). We evaluated gynaecological problems, fertility, and pregnancy outcomes in 39 females aged 10-81 years who were followed longitudinally in our DC/TBD cohort. Twenty-six had bone marrow failure and 12 underwent haematopoietic cell transplantation. All attained menarche at a normal age. Thirteen women reported menorrhagia; ten used hormonal contraception to reduce bleeding. Nine experienced natural normal-aged menopause. Gynaecological problems (endometriosis = 3, pelvic varicosities = 1, cervical intraepithelial neoplasia = 1, and uterine prolapse = 2) resulted in surgical menopause in seven. Twenty-five of 26 women attempting fertility carried 80 pregnancies with 49 (61%) resulting in livebirths. Ten (38%) women experienced 28 (35%) miscarriages, notably recurrent pregnancy loss in five (19%). Preeclampsia (n = 6, 24%) and progressive cytopenias (n = 10, 40%) resulted in maternal-fetal compromise, including preterm (n = 5) and caesarean deliveries (n = 18, 37%). Gynaecological/reproductive problems were noted mainly in women with autosomal-dominant inheritance; others were still young or died early. Although women with TBDs had normal menarche, fertility, and menopause, gynaecological problems and pregnancy complications leading to caesarean section, preterm delivery, or transfusion support were frequent. Women with TBDs will benefit from multidisciplinary, coordinated care by haematology, gynaecology and maternal-fetal medicine.
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Affiliation(s)
- Neelam Giri
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Blanche P Alter
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Pamela Stratton
- National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA.,Program in Reproductive and Adult Endocrinology, National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
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42
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Thompson AS, Saba N, McReynolds LJ, Munir S, Ahmed P, Sajjad S, Jones K, Yeager M, Donovan FX, Chandrasekharappa SC, Alter BP, Savage SA, Rehman S. The causes of Fanconi anemia in South Asia and the Middle East: A case series and review of the literature. Mol Genet Genomic Med 2021; 9:e1693. [PMID: 33960719 PMCID: PMC8372062 DOI: 10.1002/mgg3.1693] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 03/16/2021] [Accepted: 04/09/2021] [Indexed: 02/06/2023] Open
Abstract
Background Fanconi anemia (FA) is an inherited bone marrow failure syndrome associated with characteristic dysmorphology primarily caused by biallelic pathogenic germline variants in any of 22 different DNA repair genes. There are limited data on the specific molecular causes of FA in different ethnic groups. Methods We performed exome sequencing and copy number variant analyses on 19 patients with FA from 17 families undergoing hematopoietic cell transplantation evaluation in Pakistan. The scientific literature was reviewed, and we curated germline variants reported in patients with FA from South Asia and the Middle East. Results The genetic causes of FA were identified in 14 of the 17 families: seven FANCA, two FANCC, one FANCF, two FANCG, and two FANCL. Homozygous and compound heterozygous variants were present in 12 and two families, respectively. Nine families carried variants previously reported as pathogenic, including two families with the South Asian FANCL founder variant. We also identified five novel likely deleterious variants in FANCA, FANCF, and FANCG in affected patients. Conclusions Our study supports the importance of determining the genomic landscape of FA in diverse populations, in order to improve understanding of FA etiology and assist in the counseling of families.
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Affiliation(s)
- Ashley S Thompson
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Nusrat Saba
- Institute of Biomedical and Genetic Engineering, Islamabad, Pakistan
| | - Lisa J McReynolds
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Saeeda Munir
- Institute of Biomedical and Genetic Engineering, Islamabad, Pakistan
| | - Parvez Ahmed
- Quaid-i-Azam International Hospital, Islamabad, Pakistan
| | - Sumaira Sajjad
- Institute of Biomedical and Genetic Engineering, Islamabad, Pakistan
| | - Kristine Jones
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, 20850, USA
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, 20850, USA
| | - Frank X Donovan
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Settara C Chandrasekharappa
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Blanche P Alter
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Sadia Rehman
- Institute of Biomedical and Genetic Engineering, Islamabad, Pakistan
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Gianferante MD, Wlodarski MW, Atsidaftos E, Da Costa L, Delaporta P, Farrar JE, Goldman FD, Hussain M, Kattamis A, Leblanc T, Lipton JM, Niemeyer CM, Pospisilova D, Quarello P, Ramenghi U, Sankaran VG, Vlachos A, Volejnikova J, Alter BP, Savage SA, Giri N. Genotype-phenotype association and variant characterization in Diamond-Blackfan anemia caused by pathogenic variants in RPL35A. Haematologica 2021; 106:1303-1310. [PMID: 32241839 PMCID: PMC8094096 DOI: 10.3324/haematol.2020.246629] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Indexed: 01/02/2023] Open
Abstract
Diamond Blackfan anemia (DBA) is predominantly an autosomal dominant inherited red cell aplasia primarily caused by pathogenic germline variants in ribosomal protein genes. DBA due to pathogenic RPL35A variants has been associated with large 3q29 deletions and phenotypes not common in DBA. We conducted a multi-institutional genotypephenotype study of 45 patients with DBA associated with pathogenic RPL35A germline variants and curated the variant data on 21 additional cases from the literature. Genotype-phenotype analyses were conducted comparing patients with large deletions versus all other pathogenic variants in RPL35A. Twenty-two of the 45 cases had large deletions in RPL35A. After adjusting for multiple tests, a statistically significant association was observed between patients with a large deletion and steroid-resistant anemia, neutropenia, craniofacial abnormalities, chronic gastrointestinal problems, and intellectual disabilities (P<0.01) compared with all other pathogenic variants. Non-large deletion pathogenic variants were spread across RPL35Awith no apparent hot spot and 56% of the individual family variants were observed more than once. In this, the largest known study of DBA patients with pathogenic RPL35A variants, we determined that patients with large deletions have a more severe phenotype that is clinically different from those with non-large deletion variants. Genes of interest also deleted in the 3q29 region that could be associated with some of these phenotypic features include LMLN and IQCG. Management of DBA due to large RPL35A deletions may be challenging due to complex problems and require comprehensive assessments by multiple specialists including immunological, gastrointestinal, and developmental evaluations to provide optimal multidisciplinary care.
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Affiliation(s)
- Matthew D Gianferante
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA
| | | | - Evangelia Atsidaftos
- Feinstein Institute of Medical Research, Cohen Children's Medical Center, NY, USA
| | - Lydie Da Costa
- Service Hematologie Biologique, Hopital Robert-Debré, Université de Paris, France
| | - Polyxeni Delaporta
- First Department of Pediatrics, National and Kapodistrian University of Athens, Greece
| | - Jason E Farrar
- Arkansas Children Research Institute, University of Arkansas, Little Rock, USA
| | | | - Maryam Hussain
- Feinstein Institute of Medical Research, Cohen Children's Medical Center, NY, USA
| | - Antonis Kattamis
- First Department of Pediatrics, National and Kapodistrian University of Athens, Greece
| | - Thierry Leblanc
- Service Hematologie Biologique, Hopital Robert-Debré, Université de Paris, France
| | - Jeffrey M Lipton
- Feinstein Institute of Medical Research, Cohen Children's Medical Center, NY, USA
| | | | | | | | - Ugo Ramenghi
- Pediatric and Public Health Science, University of Torino, Torino, Italy
| | - Vijay G Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Adrianna Vlachos
- Feinstein Institute of Medical Research, Cohen Children's Medical Center, NY, USA
| | - Jana Volejnikova
- Palacky University and University Hospital, Olomouc, Czech Republic
| | - Blanche P Alter
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA
| | - Sharon A Savage
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA
| | - Neelam Giri
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA
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44
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Kim J, Gianferante M, Karyadi DM, Hartley SW, Frone MN, Luo W, Robison LL, Armstrong GT, Bhatia S, Dean M, Yeager M, Zhu B, Song L, Sampson JN, Yasui Y, Leisenring WM, Brodie SA, de Andrade KC, Fortes FP, Goldstein AM, Khincha PP, Machiela MJ, McMaster ML, Nickerson ML, Oba L, Pemov A, Pinheiro M, Rotunno M, Santiago K, Wegman-Ostrosky T, Diver WR, Teras L, Freedman ND, Hicks BD, Zhu B, Wang M, Jones K, Hutchinson AA, Dagnall C, Savage SA, Tucker MA, Chanock SJ, Morton LM, Stewart DR, Mirabello L. Frequency of Pathogenic Germline Variants in Cancer-Susceptibility Genes in the Childhood Cancer Survivor Study. JNCI Cancer Spectr 2021; 5:pkab007. [PMID: 34308104 PMCID: PMC8023430 DOI: 10.1093/jncics/pkab007] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 12/01/2020] [Accepted: 12/22/2020] [Indexed: 11/13/2022] Open
Abstract
Background Pediatric cancers are the leading cause of death by disease in children despite improved survival rates overall. The contribution of germline genetic susceptibility to pediatric cancer survivors has not been extensively characterized. We assessed the frequency of pathogenic or likely pathogenic (P/LP) variants in 5451 long-term pediatric cancer survivors from the Childhood Cancer Survivor Study. Methods Exome sequencing was conducted on germline DNA from 5451 pediatric cancer survivors (cases who survived ≥5 years from diagnosis; n = 5105 European) and 597 European cancer-free adults (controls). Analyses focused on comparing the frequency of rare P/LP variants in 237 cancer-susceptibility genes and a subset of 60 autosomal dominant high-to-moderate penetrance genes, for both case-case and case-control comparisons. Results Of European cases, 4.1% harbored a P/LP variant in high-to-moderate penetrance autosomal dominant genes compared with 1.3% in controls (2-sided P = 3 × 10-4). The highest frequency of P/LP variants was in genes typically associated with adult onset rather than pediatric cancers, including BRCA1/2, FH, PALB2, PMS2, and CDKN2A. A statistically significant excess of P/LP variants, after correction for multiple tests, was detected in patients with central nervous system cancers (NF1, SUFU, TSC1, PTCH2), Wilms tumor (WT1, REST), non-Hodgkin lymphoma (PMS2), and soft tissue sarcomas (SDHB, DICER1, TP53, ERCC4, FGFR3) compared with other pediatric cancers. Conclusion In long-term pediatric cancer survivors, we identified P/LP variants in cancer-susceptibility genes not previously associated with pediatric cancer as well as confirmed known associations. Further characterization of variants in these genes in pediatric cancer will be important to provide optimal genetic counseling for patients and their families.
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Affiliation(s)
- Jung Kim
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Matthew Gianferante
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Danielle M Karyadi
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Stephen W Hartley
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Megan N Frone
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Wen Luo
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Leslie L Robison
- Department of Epidemiology and Cancer Control, St.
Jude Children’s Research Hospital, Memphis, TN, USA
| | - Gregory T Armstrong
- Department of Epidemiology and Cancer Control, St.
Jude Children’s Research Hospital, Memphis, TN, USA
| | - Smita Bhatia
- Institute for Cancer Outcomes and Survivorship,
University of Alabama at Birmingham, Birmingham, AL, USA
| | - Michael Dean
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Lei Song
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Joshua N Sampson
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Yutaka Yasui
- Department of Epidemiology and Cancer Control, St.
Jude Children’s Research Hospital, Memphis, TN, USA
| | - Wendy M Leisenring
- Cancer Prevention and Clinical Statistics Programs,
Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Seth A Brodie
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Kelvin C de Andrade
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Fernanda P Fortes
- International Research Center, A.C. Camargo Cancer
Center, São Paulo, Brazil
| | - Alisa M Goldstein
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Payal P Khincha
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Mary L McMaster
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Michael L Nickerson
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Leatrisse Oba
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Alexander Pemov
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Maisa Pinheiro
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Melissa Rotunno
- Division of Cancer Control and Population Sciences,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Karina Santiago
- International Research Center, A.C. Camargo Cancer
Center, São Paulo, Brazil
| | - Talia Wegman-Ostrosky
- Basic Research Subdirection, Instituto Nacional de
Cancerología (INCan), Mexico City, Mexico
| | - W Ryan Diver
- Epidemiology Research Program, American Cancer
Society, Atlanta, GA, USA
| | - Lauren Teras
- Epidemiology Research Program, American Cancer
Society, Atlanta, GA, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Belynda D Hicks
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Bin Zhu
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Mingyi Wang
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Kristine Jones
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Amy A Hutchinson
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Casey Dagnall
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Sharon A Savage
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Margaret A Tucker
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Douglas R Stewart
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
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45
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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: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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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Himes RW, Chiou EH, Queliza K, Shouval DS, Somech R, Agarwal S, Jajoo K, Ziegler DS, Kratz CP, Huang J, Lucas TL, Myers KC, Nelson AS, DiNardo CD, Alter BP, Giri N, Khincha PP, McReynolds LJ, Dufour C, Pierri F, Goldman FD, Sherif Y, Savage SA, Miloh T, Bertuch AA. Gastrointestinal Hemorrhage: A Manifestation of the Telomere Biology Disorders. J Pediatr 2021; 230:55-61.e4. [PMID: 32971146 DOI: 10.1016/j.jpeds.2020.09.038] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 08/17/2020] [Accepted: 09/16/2020] [Indexed: 12/20/2022]
Abstract
OBJECTIVE To describe the clinical features, therapeutic interventions, and patient outcomes of gastrointestinal (GI) hemorrhage in individuals with a telomere biology disorder, including dyskeratosis congenita, Hoyeraal-Hreidarsson syndrome, Revesz syndrome, and Coats plus. STUDY DESIGN Clinical Care Consortium for Telomere Associated Ailments members were invited to contribute data on individuals with telomere biology disorders at their institutions who experienced GI bleeding. Patient demographic, laboratory, imaging, procedural, and treatment information and outcomes were extracted from the medical record. RESULTS Sixteen patients who experienced GI hemorrhage were identified at 11 centers. Among 14 patients who underwent genetic testing, 8 had mutations in TINF2, 4 had mutations in CTC1 or STN1, and 1 patient each had a mutation in TERC and RTEL1. Ten patients had a history of hematopoietic cell transplantation. The patients with Coats plus and those without Coats plus had similar clinical features and courses. Angiodysplasia of the stomach and/or small bowel was described in 8 of the 12 patients who underwent endoscopy; only 4 had esophageal varices. Various medical interventions were trialed. No single intervention was uniformly associated with cessation of bleeding, although 1 patient had a sustained response to treatment with bevacizumab. Recurrence was common, and the overall long-term outcome for affected patients was poor. CONCLUSIONS GI bleeding in patients with telomere biology disorders is associated with significant morbidity and with vascular ectasias rather than varices.
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Affiliation(s)
- Ryan W Himes
- Department of Pediatric Gastroenterology, Hepatology and Nutrition, Baylor College of Medicine and Texas Children's Hospital, Houston, TX; Section of Gastroenterology and Hepatology, Department of Pediatrics, Ochsner Health, New Orleans, LA.
| | - Eric H Chiou
- Department of Pediatric Gastroenterology, Hepatology and Nutrition, Baylor College of Medicine and Texas Children's Hospital, Houston, TX
| | - Karen Queliza
- Department of Pediatric Gastroenterology, Hepatology and Nutrition, Baylor College of Medicine and Texas Children's Hospital, Houston, TX; Gastroenterology, Hepatology and Nutrition Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Dror S Shouval
- Pediatric Gastroenterology Unit, Edmond and Lily Safra Children's Hospital, Sheba Medical Center, Ramat Gan, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Raz Somech
- Pediatric Gastroenterology Unit, Edmond and Lily Safra Children's Hospital, Sheba Medical Center, Ramat Gan, Israel
| | - Suneet Agarwal
- Boston Children's Hospital, Dana-Farber Cancer Institute, and Harvard Medical School, Boston, MA
| | - Kunal Jajoo
- Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - David S Ziegler
- Kids Cancer Centre, Sydney Children's Hospital, Randwick, NSW, Australia
| | - Christian P Kratz
- Department of Pediatric Hematology and Oncology, Hannover Medical School, Hannover, Germany
| | - James Huang
- Division of Hematology/Oncology, Department of Pediatrics, UCSF Benioff Children's Hospital, University of California, San Francisco, CA
| | - Tiffany L Lucas
- Division of Hematology/Oncology, Department of Pediatrics, UCSF Benioff Children's Hospital, University of California, San Francisco, CA
| | - Kasiani C Myers
- Division of Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Adam S Nelson
- Division of Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | | | - Blanche P Alter
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Neelam Giri
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Payal P Khincha
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Lisa J McReynolds
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Carlo Dufour
- Hemato-Oncology-Stem Cell Transplant Pole, IRCCS Giannina Gaslini, Genoa, Italy
| | - Filomena Pierri
- Hemato-Oncology-Stem Cell Transplant Pole, IRCCS Giannina Gaslini, Genoa, Italy
| | | | - Youmna Sherif
- Department of Surgery, Baylor College of Medicine and Texas Children's Hospital, Houston, TX
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Tamir Miloh
- Department of Pediatric Gastroenterology, Hepatology and Nutrition, Baylor College of Medicine and Texas Children's Hospital, Houston, TX; Miami Transplant Institute, University of Miami, Miami, FL
| | - Alison A Bertuch
- Section of Hematology/Oncology, Department of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, TX
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Walcott FL, Wang PY, Bryla CM, Huffstutler RD, Singh N, Pollak MN, Khincha PP, Savage SA, Mai PL, Dodd KW, Hwang PM, Fojo AT, Annunziata CM. Pilot Study Assessing Tolerability and Metabolic Effects of Metformin in Patients With Li-Fraumeni Syndrome. JNCI Cancer Spectr 2021; 4:pkaa063. [PMID: 33490865 DOI: 10.1093/jncics/pkaa063] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 06/24/2020] [Accepted: 06/27/2020] [Indexed: 11/12/2022] Open
Abstract
Background Li-Fraumeni syndrome (LFS) is a highly penetrant autosomal dominant cancer predisposition disorder caused by germline TP53 pathogenic variants. Patients with LFS have increased oxidative phosphorylation capacity in skeletal muscle and oxidative stress in blood. Metformin inhibits oxidative phosphorylation, reducing available energy for cancer cell proliferation and decreasing production of reactive oxygen species that cause DNA damage. Thus, metformin may provide pharmacologic risk reduction for cancer in patients with LFS, but its safety in nondiabetic patients with germline TP53 pathogenic variants has not been documented. Methods This study assessed safety and tolerability of metformin in nondiabetic LFS patients and measured changes in metabolic profiles. Adult patients with LFS and germline TP53 variant received 14 weeks of metformin. Blood samples were obtained for measurement of serum insulin-like growth factor-1, insulin, and insulin-like growth factor binding protein 3. Hepatic mitochondrial function was assessed with fasting exhaled CO2 after ingestion of 13C-labeled methionine. Changes in serum metabolome were measured. All statistical tests were 2-sided. Results We enrolled 26 participants: 20 females and 6 males. The most common adverse events were diarrhea (50.0%) and nausea (46.2%). Lactic acidosis did not occur, and there were no changes in fasting glucose. Cumulative mean 13C exhalation was statistically significantly suppressed by metformin (P = .001). Mean levels of insulin-like growth factor binding protein 3 and insulin-like growth factor-1 were statistically significantly lowered (P = .02). Lipid metabolites and branched-chain amino acids accumulated. Conclusions Metformin was safe and tolerable in patients with LFS. It suppressed hepatic mitochondrial function as expected in these individuals. This study adds to the rationale for development of a pharmacologic risk-reduction clinical trial of metformin in LFS.
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Affiliation(s)
- Farzana L Walcott
- Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Ping-Yuan Wang
- Cardiovascular Branch, National Heart Lung Blood Institute, Bethesda, MD, USA
| | - Christine M Bryla
- Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | | | - Neha Singh
- George Washington Medical School, Washington, DC, USA
| | | | - Payal P Khincha
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Sharon A Savage
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Phuong L Mai
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Kevin W Dodd
- Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA
| | - Paul M Hwang
- Cardiovascular Branch, National Heart Lung Blood Institute, Bethesda, MD, USA
| | - Antonio T Fojo
- Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
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48
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Savage SA, Suárez-González A, Cassani A, Gopalan R, Stott J. Non-primary progressive language impairment in neurodegenerative conditions: protocol for a scoping review. Syst Rev 2021; 10:32. [PMID: 33472694 PMCID: PMC7816313 DOI: 10.1186/s13643-021-01589-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 01/11/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Progressive language difficulties arise in many neurodegenerative conditions, causing significant impact upon patients and families. This occurs most obviously in primary progressive aphasia (PPA) but can also occur within other forms of progressive disease. In these cases, language decline may be significant, but as they are not the presenting or dominant symptom, may be overlooked in favour of more prominent cognitive, behaviour or motor deficits. To date, there has been no systematic investigation into non-primary progressive aphasia. This scoping review aims to describe the currently reported language impairments found in non-language-led dementias and identify their clinical relevance, defined as the impact on everyday living. It also seeks to identify the reported interventions for language impairment in this patient group to-date. METHOD We will conduct a scoping review of published studies that have assessed and/or treated aphasia in people diagnosed with a neurodegenerative condition other than primary progressive aphasia. The systematic search will include the electronic databases PubMed, MEDLINE, OVID-EMBASE, PsycINFO, and speechBITE, using search terms for specific non-language-led dementia subtypes. Findings will be mapped and described according to the type of language difficulties identified and rehabilitation approaches employed. Intervention studies will be evaluated for their methodological rigour using validated scales. DISCUSSION This scoping review will provide an overview of the types of aphasia found in neurodegenerative conditions where language dysfunction is not the primary focus. Current treatment approaches (and gaps in the provision of treatment) will be identified.
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Affiliation(s)
- Sharon A. Savage
- REACH: The Centre for Research in Ageing and Cognitive Health, College of Medicine and Health, University of Exeter, Exeter, UK
- School of Psychology, College of Engineering, Science and Environment, The University of Newcastle, Callaghan, New South Wales 2308 Australia
| | - Aida Suárez-González
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Alice Cassani
- Discipline of Psychology, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - Ragaviveka Gopalan
- Discipline of Psychology, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - Joshua Stott
- Research Department of Clinical, Educational and Health Psychology, Division of Psychology and Language Sciences, University College London, London, UK
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49
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Mirabello L, Zhu B, Koster R, Karlins E, Dean M, Yeager M, Gianferante M, Spector LG, Morton LM, Karyadi D, Robison LL, Armstrong GT, Bhatia S, Song L, Pankratz N, Pinheiro M, Gastier-Foster JM, Gorlick R, de Toledo SRC, Petrilli AS, Patino-Garcia A, Lecanda F, Gutierrez-Jimeno M, Serra M, Hattinger C, Picci P, Scotlandi K, Flanagan AM, Tirabosco R, Amary MF, Kurucu N, Ilhan IE, Ballinger ML, Thomas DM, Barkauskas DA, Mejia-Baltodano G, Valverde P, Hicks BD, Zhu B, Wang M, Hutchinson AA, Tucker M, Sampson J, Landi MT, Freedman ND, Gapstur S, Carter B, Hoover RN, Chanock SJ, Savage SA. Frequency of Pathogenic Germline Variants in Cancer-Susceptibility Genes in Patients With Osteosarcoma. JAMA Oncol 2021; 6:724-734. [PMID: 32191290 DOI: 10.1001/jamaoncol.2020.0197] [Citation(s) in RCA: 118] [Impact Index Per Article: 39.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Importance Osteosarcoma, the most common malignant bone tumor in children and adolescents, occurs in a high number of cancer predisposition syndromes that are defined by highly penetrant germline mutations. The germline genetic susceptibility to osteosarcoma outside of familial cancer syndromes remains unclear. Objective To investigate the germline genetic architecture of 1244 patients with osteosarcoma. Design, Setting, and Participants Whole-exome sequencing (n = 1104) or targeted sequencing (n = 140) of the DNA of 1244 patients with osteosarcoma from 10 participating international centers or studies was conducted from April 21, 2014, to September 1, 2017. The results were compared with the DNA of 1062 individuals without cancer assembled internally from 4 participating studies who underwent comparable whole-exome sequencing and 27 173 individuals of non-Finnish European ancestry who were identified through the Exome Aggregation Consortium (ExAC) database. In the analysis, 238 high-interest cancer-susceptibility genes were assessed followed by testing of the mutational burden across 736 additional candidate genes. Principal component analyses were used to identify 732 European patients with osteosarcoma and 994 European individuals without cancer, with outliers removed for patient-control group comparisons. Patients were subsequently compared with individuals in the ExAC group. All data were analyzed from June 1, 2017, to July 1, 2019. Main Outcomes and Measures The frequency of rare pathogenic or likely pathogenic genetic variants. Results Among 1244 patients with osteosarcoma (mean [SD] age at diagnosis, 16 [8.9] years [range, 2-80 years]; 684 patients [55.0%] were male), an analysis restricted to individuals with European ancestry indicated a significantly higher pathogenic or likely pathogenic variant burden in 238 high-interest cancer-susceptibility genes among patients with osteosarcoma compared with the control group (732 vs 994, respectively; P = 1.3 × 10-18). A pathogenic or likely pathogenic cancer-susceptibility gene variant was identified in 281 of 1004 patients with osteosarcoma (28.0%), of which nearly three-quarters had a variant that mapped to an autosomal-dominant gene or a known osteosarcoma-associated cancer predisposition syndrome gene. The frequency of a pathogenic or likely pathogenic cancer-susceptibility gene variant was 128 of 1062 individuals (12.1%) in the control group and 2527 of 27 173 individuals (9.3%) in the ExAC group. A higher than expected frequency of pathogenic or likely pathogenic variants was observed in genes not previously linked to osteosarcoma (eg, CDKN2A, MEN1, VHL, POT1, APC, MSH2, and ATRX) and in the Li-Fraumeni syndrome-associated gene, TP53. Conclusions and Relevance In this study, approximately one-fourth of patients with osteosarcoma unselected for family history had a highly penetrant germline mutation requiring additional follow-up analysis and possible genetic counseling with cascade testing.
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Affiliation(s)
- Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Roelof Koster
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Eric Karlins
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Michael Dean
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.,Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Matthew Gianferante
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Logan G Spector
- Department of Pediatrics, University of Minnesota, Minneapolis
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Danielle Karyadi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Leslie L Robison
- Department of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, Tennessee
| | - Gregory T Armstrong
- Department of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, Tennessee
| | - Smita Bhatia
- Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Nathan Pankratz
- Department of Pediatrics, University of Minnesota, Minneapolis
| | - Maisa Pinheiro
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Julie M Gastier-Foster
- Department of Pathology and Pediatrics, Nationwide Children's Hospital, The Ohio State University, Columbus
| | - Richard Gorlick
- Department of Pediatrics, University of Texas MD Anderson Cancer Center, Houston
| | - Silvia Regina Caminada de Toledo
- Laboratorio de Genetica, Instituto de Oncologia Pediatrica, Grupo de Apoio ao Adolescente e a Crianca com Cancer/Universidade Federal de Sao Paulo, Sao Paulo, Brazil
| | - Antonio S Petrilli
- Laboratorio de Genetica, Instituto de Oncologia Pediatrica, Grupo de Apoio ao Adolescente e a Crianca com Cancer/Universidade Federal de Sao Paulo, Sao Paulo, Brazil
| | - Ana Patino-Garcia
- Solid Tumor Division, Department of Pediatrics, University Clinic of Navarra and Center for Applied Medical Research, Navarra Institute for Health Research, Pamplona, Spain.,Center for Applied Medical Research, University of Navarra, Instituto de Investigacion Sanitaria de Navarra, and Centro de Investigacion Biomedica en Red Cancer, Pamplona, Spain
| | - Fernando Lecanda
- Solid Tumor Division, Department of Pediatrics, University Clinic of Navarra and Center for Applied Medical Research, Navarra Institute for Health Research, Pamplona, Spain.,Center for Applied Medical Research, University of Navarra, Instituto de Investigacion Sanitaria de Navarra, and Centro de Investigacion Biomedica en Red Cancer, Pamplona, Spain
| | - Miriam Gutierrez-Jimeno
- Solid Tumor Division, Department of Pediatrics, University Clinic of Navarra and Center for Applied Medical Research, Navarra Institute for Health Research, Pamplona, Spain
| | - Massimo Serra
- Laboratory of Experimental Oncology, Istituto di Ricovero e Cura a Carattere Scientifico, Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Claudia Hattinger
- Laboratory of Experimental Oncology, Istituto di Ricovero e Cura a Carattere Scientifico, Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Piero Picci
- Laboratory of Experimental Oncology, Istituto di Ricovero e Cura a Carattere Scientifico, Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Katia Scotlandi
- Laboratory of Experimental Oncology, Istituto di Ricovero e Cura a Carattere Scientifico, Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Adrienne M Flanagan
- Research Department of Pathology, UCL Cancer Institute, London, United Kingdom.,Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, United Kingdom
| | - Roberto Tirabosco
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, United Kingdom
| | - Maria Fernanda Amary
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, United Kingdom
| | - Nilgün Kurucu
- Department of Pediatric Oncology, A.Y. Ankara Oncology Training and Research Hospital, Yenimahalle, Ankara, Turkey
| | - Inci Ergurhan Ilhan
- Department of Pediatric Oncology, A.Y. Ankara Oncology Training and Research Hospital, Yenimahalle, Ankara, Turkey
| | - Mandy L Ballinger
- Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.,St. Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - David M Thomas
- Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.,St. Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - Donald A Barkauskas
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, Los Angeles
| | | | | | - Belynda D Hicks
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Bin Zhu
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Mingyi Wang
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Amy A Hutchinson
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Margaret Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Joshua Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Maria T Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Susan Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Brian Carter
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Sharon A Savage
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
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50
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Pantaleao A, Young JL, Epstein NB, Carlson M, Bremer RC, Khincha PP, Peters JA, Greene MH, Roy K, Achatz MI, Savage SA, Werner-Lin A. Family Health Leaders: Lessons on Living with Li-Fraumeni Syndrome across Generations. Fam Process 2020; 59:1648-1663. [PMID: 31647118 PMCID: PMC7434614 DOI: 10.1111/famp.12497] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 07/29/2019] [Accepted: 08/19/2019] [Indexed: 05/02/2023]
Abstract
Li-Fraumeni Syndrome (LFS) is a hereditary disorder that confers an approximately 90% lifetime risk of cancer and requires comprehensive lifetime cancer screening. We explored healthcare roles for managing LFS-related cancer risks and treatments that were assumed by parents, adolescents, and adult children. Semi-structured interviews were conducted with 23 families. Family groupings were comprised of 2-5 members, with the younger generation in each family ranging in age from 7 to 40 years. Using grounded theory methods, we conducted open and focused coding of interview transcript content. Family members described how the role of health leader was implemented in their family, as well as factors such as maturation of a child or death of a member that determined who assumed particular roles and how these roles shifted over time. They often expressed collective responsibility for helping relatives understand LFS and implement appropriate cancer risk management. Members demonstrated their health role by attending others' medical appointments for support or information gathering. The health leader role was intergenerational and provided the family necessary support in navigating complicated healthcare decisions. Our findings provide insight into healthcare providers regarding how LFS patients and their relatives develop unique medical decision-making and caring roles influenced by the hereditary nature of LFS, and how these roles change over time. Providers who are attuned to family role dynamics may be better able to meet relatives' psychosocial and medical needs by understanding how living with LFS influences the family system's functioning and facilitating members' support for each other.
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Affiliation(s)
- Ashley Pantaleao
- Department of Family Science, School of Public Health, University of Maryland, College Park, MD
| | - Jennifer L Young
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
- School of Medicine, Center for Biomedical Ethics, Stanford University, Stanford, CA
| | - Norman B Epstein
- Department of Family Science, School of Public Health, University of Maryland, College Park, MD
| | - Mae Carlson
- School of Social Policy and Practice, University of Pennsylvania, Philadelphia, PA
| | - Renée C Bremer
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Payal P Khincha
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - June A Peters
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Mark H Greene
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Kevin Roy
- Department of Family Science, School of Public Health, University of Maryland, College Park, MD
| | - Maria Isabel Achatz
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Allison Werner-Lin
- School of Social Policy and Practice, University of Pennsylvania, Philadelphia, PA
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