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Li J, Jia Z, Dong L, Cao H, Huang Y, Xu H, Xie Z, Jiang Y, Wang X, Liu J. DNA damage response in breast cancer and its significant role in guiding novel precise therapies. Biomark Res 2024; 12:111. [PMID: 39334297 PMCID: PMC11437670 DOI: 10.1186/s40364-024-00653-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2024] [Accepted: 09/09/2024] [Indexed: 09/30/2024] Open
Abstract
DNA damage response (DDR) deficiency has been one of the emerging targets in treating breast cancer in recent years. On the one hand, DDR coordinates cell cycle and signal transduction, whose dysfunction may lead to cell apoptosis, genomic instability, and tumor development. Conversely, DDR deficiency is an intrinsic feature of tumors that underlies their response to treatments that inflict DNA damage. In this review, we systematically explore various mechanisms of DDR, the rationale and research advances in DDR-targeted drugs in breast cancer, and discuss the challenges in its clinical applications. Notably, poly (ADP-ribose) polymerase (PARP) inhibitors have demonstrated favorable efficacy and safety in breast cancer with high homogenous recombination deficiency (HRD) status in a series of clinical trials. Moreover, several studies on novel DDR-related molecules are actively exploring to target tumors that become resistant to PARP inhibition. Before further clinical application of new regimens or drugs, novel and standardized biomarkers are needed to develop for accurately characterizing the benefit population and predicting efficacy. Despite the promising efficacy of DDR-related treatments, challenges of off-target toxicity and drug resistance need to be addressed. Strategies to overcome drug resistance await further exploration on DDR mechanisms, and combined targeted drugs or immunotherapy will hopefully provide more precise or combined strategies and expand potential responsive populations.
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Affiliation(s)
- Jiayi Li
- Department of Breast Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
- School of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China
| | - Ziqi Jia
- Department of Breast Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Lin Dong
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Heng Cao
- Department of Breast Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yansong Huang
- Department of Breast Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
- School of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China
| | - Hengyi Xu
- School of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Zhixuan Xie
- School of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China
| | - Yiwen Jiang
- School of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China
| | - Xiang Wang
- Department of Breast Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Jiaqi Liu
- Department of Breast Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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Evans DG, Burghel GJ, Howell SJ, Pugh S, Forde C, Howell A, Lalloo F, Woodward ER. Pathogenic variant detection rate varies considerably in male breast cancer families and sporadic cases: minimal additional contribution beyond BRCA2, BRCA1 and CHEK2. J Med Genet 2024; 61:853-855. [PMID: 38609177 PMCID: PMC11420751 DOI: 10.1136/jmg-2023-109826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Accepted: 03/23/2024] [Indexed: 04/14/2024]
Abstract
BACKGROUND Male breast cancer (MBC) affects around 1 in 1000 men and is known to have a higher underlying component of high and moderate risk gene pathogenic variants (PVs) than female breast cancer, particularly in BRCA2. However, most studies only report overall detection rates without assessing detailed family history. METHODS We reviewed germline testing in 204 families including at least one MBC for BRCA1, BRCA2, CHEK2 c.1100DelC and an extended panel in 93 of these families. Individuals had MBC (n=118), female breast cancer (FBC)(n=80), ovarian cancer (n=3) or prostate cancer-(n=3). Prior probability of having a BRCA1/2 PV was assessed using the Manchester Scoring System (MSS). RESULTS In the 204 families, BRCA2 was the major contributor, with 51 (25%) having PVs, followed by BRCA1 and CHEK2, with five each (2.45%) but no additional PVs identified, including in families with high genetic likelihood on MSS. Detection rates were 85.7% (12/14) in MSS ≥40 and 65.5% with MSS 30-39 but only 12.8% (6/47) for sporadic breast cancer. PV rates were low and divided equally between BRCA1/2 and CHEK2. CONCLUSION: As expected, BRCA2 PVs predominate in MBC families with rates 10-fold those in CHEK2 and BRCA1. The MSS is an effective tool in assessing the likelihood of BRCA1/2 PVs.
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Affiliation(s)
| | - George J Burghel
- Genomic Diagnostic Laboratory, Manchester University NHS Foundation Trust, Manchester, UK
| | - Sacha J Howell
- Wythenshawe Hospital Manchester Universities Foundation Trust, Wythenshawe, UK
- Manchester Academic Health Science Centre, Manchester, UK
| | - Sarah Pugh
- Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Claire Forde
- Clinical Genetics Service, Central Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | | | - Fiona Lalloo
- Clinical Genetics Service, Manchester Centre for Genomic Medicine, Central Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Emma Roisin Woodward
- Manchester Centre for Genomic Medicine, Central Manchester NHS Foundation Trust, Manchester, UK
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3
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Hodan R, Picus M, Stanclift C, Ormond KE, Pichardo JM, Kurian AW, Ricker C, Idos GE. Family communication of cancer genetic test results in an ethnically diverse population: a qualitative exploration of more than 200 patients. J Community Genet 2024; 15:363-374. [PMID: 38814439 PMCID: PMC11410745 DOI: 10.1007/s12687-024-00712-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 05/18/2024] [Indexed: 05/31/2024] Open
Abstract
Previous research on family communication of cancer genetic test results has primarily focused on non-Hispanic White patients with high-risk pathogenic variants (PV). There are limited data on patient communication of moderate-risk PVs, variants of uncertain significance (VUS), and negative results. This qualitative study examined communication of positive, negative, and VUS hereditary cancer multi-gene panel (MGP) results in an ethnically and socioeconomically diverse population. As part of a multicenter, prospective cohort study of 2000 patients who underwent MGP testing at three hospitals in California, USA, free-text written survey responses to the question: "Feel free to share any thoughts or experiences with discussing genetic test results with others" were collected from participant questionnaires administered at 3 and 12-months post results disclosure. Content and thematic analyses were performed using a theory-driven analysis, Theory of Planned Behavior (TPB), on 256 responses from 214 respondents. Respondents with high perceived utility of sharing genetic test results often reported positive attitudes towards sharing test results and direct encouragement for genetic testing of others. Respondents with high self-efficacy in the sharing process were likely to report high perceived utility of sharing, whereas patients with low self-efficacy more often had VUS results and were more likely to report uncertainty about sharing. Consistent with TPB, our findings suggest that clinician reinforcement of the utility of genetic testing may increase intent for patients to communicate genetic information. Our findings suggest that clinicians should focus on strategies to improve patient understanding of VUS results.
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Affiliation(s)
- Rachel Hodan
- Cancer Genetics and Genomics, Stanford Health Care, Stanford, CA, USA.
- Department of Pediatrics (Genetics), Stanford University School of Medicine, Stanford, CA, USA.
| | - Miles Picus
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Caroline Stanclift
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Kelly E Ormond
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, CA, USA
- Health Ethics and Policy Lab, Department of Health Sciences and Technology, (DHEST), ETH-Zurich, Zurich, Switzerland
| | | | - Allison W Kurian
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Department of Oncology, Stanford University School of Medicine, Stanford, CA, USA
| | - Charité Ricker
- University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
- Los Angeles General Medical Center, Los Angeles, CA, USA
| | - Gregory E Idos
- Division of Gastroenterology, City of Hope, Duarte, CA, USA
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4
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Zhang Z, Ye S, Bernhardt SM, Nelson HD, Velie EM, Borges VF, Woodward ER, Evans DGR, Schedin PJ. Postpartum Breast Cancer and Survival in Women With Germline BRCA Pathogenic Variants. JAMA Netw Open 2024; 7:e247421. [PMID: 38639936 PMCID: PMC11031688 DOI: 10.1001/jamanetworkopen.2024.7421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 02/18/2024] [Indexed: 04/20/2024] Open
Abstract
Importance In young-onset breast cancer (YOBC), a diagnosis within 5 to 10 years of childbirth is associated with increased mortality. Women with germline BRCA1/2 pathogenic variants (PVs) are more likely to be diagnosed with BC at younger ages, but the impact of childbirth on mortality is unknown. Objective To determine whether time between most recent childbirth and BC diagnosis is associated with mortality among patients with YOBC and germline BRCA1/2 PVs. Design, Setting, and Participants This prospective cohort study included women with germline BRCA1/2 PVs diagnosed with stage I to III BC at age 45 years or younger between 1950 and 2021 in the United Kingdom, who were followed up until November 2021. Data were analyzed from December 3, 2021, to November 29, 2023. Exposure Time between most recent childbirth and subsequent BC diagnosis, with recent childbirth defined as 0 to less than 10 years, further delineated to 0 to less than 5 years and 5 to less than 10 years. Main Outcomes and Measures The primary outcome was all-cause mortality, censored at 20 years after YOBC diagnosis. Mortality of nulliparous women was compared with the recent post partum groups and the 10 or more years post partum group. Cox proportional hazards regression analyses were adjusted for age, tumor stage, and further stratified by tumor estrogen receptor (ER) and BRCA gene status. Results Among 903 women with BRCA PVs (mean [SD] age at diagnosis, 34.7 [6.1] years; mean [SD] follow-up, 10.8 [9.8] years), 419 received a BC diagnosis 0 to less than 10 years after childbirth, including 228 women diagnosed less than 5 years after childbirth and 191 women diagnosed 5 to less than 10 years after childbirth. Increased all-cause mortality was observed in women diagnosed within 5 to less than 10 years post partum (hazard ratio [HR], 1.56 [95% CI, 1.05-2.30]) compared with nulliparous women and women diagnosed 10 or more years after childbirth, suggesting a transient duration of postpartum risk. Risk of mortality was greater for women with ER-positive BC in the less than 5 years post partum group (HR, 2.35 [95% CI, 1.02-5.42]) and ER-negative BC in the 5 to less than 10 years post partum group (HR, 3.12 [95% CI, 1.22-7.97]) compared with the nulliparous group. Delineated by BRCA1 or BRCA2, mortality in the 5 to less than 10 years post partum group was significantly increased, but only for BRCA1 carriers (HR, 2.03 [95% CI, 1.15-3.58]). Conclusions and Relevance These findings suggest that YOBC with germline BRCA PVs was associated with increased risk for all-cause mortality if diagnosed within 10 years after last childbirth, with risk highest for ER-positive BC diagnosed less than 5 years post partum, and for ER-negative BC diagnosed 5 to less than 10 years post partum. BRCA1 carriers were at highest risk for poor prognosis when diagnosed at 5 to less than 10 years post partum. No such associations were observed for BRCA2 carriers. These results should inform genetic counseling, prevention, and treatment strategies for BRCA PV carriers.
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Affiliation(s)
- Zhenzhen Zhang
- Division of Oncological Sciences, Oregon Health & Science University, Portland
- Knight Cancer Institute, Oregon Health & Science University, Portland
| | - Shangyuan Ye
- Biostatistics Shared Resource, Knight Cancer Institute, Oregon Health & Science University, Portland
| | - Sarah M. Bernhardt
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland
| | - Heidi D. Nelson
- Kaiser Permanente Bernard D. Tyson School of Medicine, Pasadena, California
| | - Ellen M. Velie
- Zilber College of Public Health, University of Wisconsin-Milwaukee, Milwaukee
- Departments of Medicine and Pathology, Medical College of Wisconsin, Milwaukee
| | - Virginia F. Borges
- Young Women’s Breast Cancer Translational Program, Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora
| | - Emma R. Woodward
- Manchester Centre for Genomic Medicine, Manchester Academic Health Sciences Centre, Division of Evolution Infection and Genomic Science, St Mary’s Hospital, University of Manchester, Manchester, United Kingdom
- Prevent Breast Cancer Centre, University Hospital of South Manchester NHS Trust, Wythenshawe, Manchester, United Kingdom
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
- Manchester Breast Centre, University of Manchester, Manchester, United Kingdom
| | - D. Gareth R. Evans
- Manchester Centre for Genomic Medicine, Manchester Academic Health Sciences Centre, Division of Evolution Infection and Genomic Science, St Mary’s Hospital, University of Manchester, Manchester, United Kingdom
- Prevent Breast Cancer Centre, University Hospital of South Manchester NHS Trust, Wythenshawe, Manchester, United Kingdom
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
- Manchester Breast Centre, University of Manchester, Manchester, United Kingdom
| | - Pepper J. Schedin
- Knight Cancer Institute, Oregon Health & Science University, Portland
- Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland
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5
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Woodward ER, Lalloo F, Forde C, Pugh S, Burghel GJ, Schlecht H, Harkness EF, Howell A, Howell SJ, Gandhi A, Evans DG. Germline testing of BRCA1, BRCA2, PALB2 and CHEK2 c.1100delC in 1514 triple negative familial and isolated breast cancers from a single centre, with extended testing of ATM, RAD51C and RAD51D in over 400. J Med Genet 2024; 61:385-391. [PMID: 38123987 DOI: 10.1136/jmg-2023-109671] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 11/14/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND The identification of germline pathogenic gene variants (PGVs) in triple negative breast cancer (TNBC) is important to inform further primary cancer risk reduction and TNBC treatment strategies. We therefore investigated the contribution of breast cancer associated PGVs to familial and isolated invasive TNBC. METHODS Outcomes of germline BRCA1, BRCA2 and CHEK2_c.1100delC testing were recorded in 1514 women (743-isolated, 771-familial), and for PALB2 in 846 women (541-isolated, 305-familial), with TNBC and smaller numbers for additional genes. Breast cancer free controls were identified from Predicting Risk Of Cancer At Screening and BRIDGES (Breast cancer RIsk after Diagnostic GEne Sequencing) studies. RESULTS BRCA1_PGVs were detected in 52 isolated (7.0%) and 195 (25.3%) familial cases (isolated-OR=58.9, 95% CI: 16.6 to 247.0), BRCA2_PGVs in 21 (2.8%) isolated and 67 (8.7%) familial cases (isolated-OR=5.0, 95% CI: 2.3 to 11.2), PALB2_PGVs in 9 (1.7%) isolated and 12 (3.9%) familial cases (isolated-OR=8.8, 95% CI: 2.5 to 30.4) and CHEK2_c.1100delC in 0 isolated and 3 (0.45%) familial cases (isolated-OR=0.0, 95% CI: 0.00 to 2.11). BRCA1_PGV detection rate was >10% for all familial TNBC age groups and significantly higher for younger diagnoses (familial: <50 years, n=165/538 (30.7%); ≥50 years, n=30/233 (12.9%); p<0.0001). Women with a G3_TNBC were more likely to have a BRCA1_PGV as compared with a BRCA2 or PALB2_PGV (p<0.0001). 0/743 isolated TNBC had the CHEK2_c.1100delC PGV and 0/305 any ATM_PGV, but 2/240 (0.83%) had a RAD51D_PGV. CONCLUSION PGVs in BRCA1 are associated with G3_TNBCs. Familial TNBCs and isolated TNBCs <30 years have a >10% likelihood of a PGV in BRCA1. BRCA1_PGVs are associated with younger age of familial TNBC. There was no evidence for any increased risk of TNBC with CHEK2 or ATM PGVs.
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Affiliation(s)
- Emma R Woodward
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Manchester Breast Centre, The Christie NHS Foundation Trust, Manchester, UK
| | - Fiona Lalloo
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Claire Forde
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Sarah Pugh
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - George J Burghel
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Helene Schlecht
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Elaine F Harkness
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Anthony Howell
- Manchester Breast Centre, The Christie NHS Foundation Trust, Manchester, UK
- Prevent Breast Cancer Unit, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Sacha J Howell
- Manchester Breast Centre, The Christie NHS Foundation Trust, Manchester, UK
- Prevent Breast Cancer Unit, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Ashu Gandhi
- Prevent Breast Cancer Unit, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - D Gareth Evans
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Manchester Breast Centre, The Christie NHS Foundation Trust, Manchester, UK
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
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Xu H, Jia Z, Liu F, Li J, Huang Y, Jiang Y, Pu P, Shang T, Tang P, Zhou Y, Yang Y, Su J, Liu J. Biomarkers and experimental models for cancer immunology investigation. MedComm (Beijing) 2023; 4:e437. [PMID: 38045830 PMCID: PMC10693314 DOI: 10.1002/mco2.437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 11/01/2023] [Accepted: 11/10/2023] [Indexed: 12/05/2023] Open
Abstract
The rapid advancement of tumor immunotherapies poses challenges for the tools used in cancer immunology research, highlighting the need for highly effective biomarkers and reproducible experimental models. Current immunotherapy biomarkers encompass surface protein markers such as PD-L1, genetic features such as microsatellite instability, tumor-infiltrating lymphocytes, and biomarkers in liquid biopsy such as circulating tumor DNAs. Experimental models, ranging from 3D in vitro cultures (spheroids, submerged models, air-liquid interface models, organ-on-a-chips) to advanced 3D bioprinting techniques, have emerged as valuable platforms for cancer immunology investigations and immunotherapy biomarker research. By preserving native immune components or coculturing with exogenous immune cells, these models replicate the tumor microenvironment in vitro. Animal models like syngeneic models, genetically engineered models, and patient-derived xenografts provide opportunities to study in vivo tumor-immune interactions. Humanized animal models further enable the simulation of the human-specific tumor microenvironment. Here, we provide a comprehensive overview of the advantages, limitations, and prospects of different biomarkers and experimental models, specifically focusing on the role of biomarkers in predicting immunotherapy outcomes and the ability of experimental models to replicate the tumor microenvironment. By integrating cutting-edge biomarkers and experimental models, this review serves as a valuable resource for accessing the forefront of cancer immunology investigation.
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Affiliation(s)
- Hengyi Xu
- State Key Laboratory of Molecular OncologyNational Cancer Center /National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Ziqi Jia
- Department of Breast Surgical OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Fengshuo Liu
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Jiayi Li
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Department of Breast Surgical OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yansong Huang
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Department of Breast Surgical OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yiwen Jiang
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Pengming Pu
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Tongxuan Shang
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Pengrui Tang
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yongxin Zhou
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yufan Yang
- School of MedicineTsinghua UniversityBeijingChina
| | - Jianzhong Su
- Oujiang LaboratoryZhejiang Lab for Regenerative Medicine, Vision, and Brain HealthWenzhouZhejiangChina
| | - Jiaqi Liu
- State Key Laboratory of Molecular OncologyNational Cancer Center /National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Department of Breast Surgical OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
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7
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Shirts BH. ConnectMyVariant: An Innovative Use of Technology and Social Networks to Realize the Benefits of Cascade Screening. Public Health Genomics 2023; 26:177-182. [PMID: 37751715 DOI: 10.1159/000533971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 08/31/2023] [Indexed: 09/28/2023] Open
Affiliation(s)
- Brian H Shirts
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Washington, Seattle, Washington, USA
- Institute for Public Health Genetics, School of Public Health, University of Washington, Seattle, Washington, USA
- Brotman Baty Institute for Precision Medicine, Seattle, Washington, USA
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8
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Loong L, Huntley C, McRonald F, Santaniello F, Pethick J, Torr B, Allen S, Tulloch O, Goel S, Shand B, Rahman T, Luchtenborg M, Garrett A, Barber R, Bedenham T, Bourn D, Bradshaw K, Brooks C, Bruty J, Burghel GJ, Butler S, Buxton C, Callaway A, Callaway J, Drummond J, Durkie M, Field J, Jenkins L, McVeigh TP, Mountford R, Nyanhete R, Petrides E, Robinson R, Scott T, Stinton V, Tellez J, Wallace AJ, Yarram-Smith L, Sahan K, Hallowell N, Eccles DM, Pharoah P, Tischkowitz M, Antoniou AC, Evans DG, Lalloo F, Norbury G, Morris E, Burn J, Hardy S, Turnbull C. Germline mismatch repair (MMR) gene analyses from English NHS regional molecular genomics laboratories 1996-2020: development of a national resource of patient-level genomics laboratory records. J Med Genet 2023; 60:669-678. [PMID: 36572524 PMCID: PMC10359571 DOI: 10.1136/jmg-2022-108800] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 11/18/2022] [Indexed: 12/27/2022]
Abstract
OBJECTIVE To describe national patterns of National Health Service (NHS) analysis of mismatch repair (MMR) genes in England using individual-level data submitted to the National Disease Registration Service (NDRS) by the NHS regional molecular genetics laboratories. DESIGN Laboratories submitted individual-level patient data to NDRS against a prescribed data model, including (1) patient identifiers, (2) test episode data, (3) per-gene results and (4) detected sequence variants. Individualised per-laboratory algorithms were designed and applied in NDRS to extract and map the data to the common data model. Laboratory-level MMR activity audit data from the Clinical Molecular Genetics Society/Association of Clinical Genomic Science were used to assess early years' missing data. RESULTS Individual-level data from patients undergoing NHS MMR germline genetic testing were submitted from all 13 English laboratories performing MMR analyses, comprising in total 16 722 patients (9649 full-gene, 7073 targeted), with the earliest submission from 2000. The NDRS dataset is estimated to comprise >60% of NHS MMR analyses performed since inception of NHS MMR analysis, with complete national data for full-gene analyses for 2016 onwards. Out of 9649 full-gene tests, 2724 had an abnormal result, approximately 70% of which were (likely) pathogenic. Data linkage to the National Cancer Registry demonstrated colorectal cancer was the most frequent cancer type in which full-gene analysis was performed. CONCLUSION The NDRS MMR dataset is a unique national pan-laboratory amalgamation of individual-level clinical and genomic patient data with pseudonymised identifiers enabling linkage to other national datasets. This growing resource will enable longitudinal research and can form the basis of a live national genomic disease registry.
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Affiliation(s)
- Lucy Loong
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK
| | - Catherine Huntley
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK
| | - Fiona McRonald
- NHS Digital, National Disease Registration Service, London, UK
| | - Francesco Santaniello
- NHS Digital, National Disease Registration Service, London, UK
- Health Data Insight CIC, Cambridge, UK
| | - Joanna Pethick
- NHS Digital, National Disease Registration Service, London, UK
| | - Bethany Torr
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK
| | - Sophie Allen
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK
| | - Oliver Tulloch
- NHS Digital, National Disease Registration Service, London, UK
- Health Data Insight CIC, Cambridge, UK
| | - Shilpi Goel
- NHS Digital, National Disease Registration Service, London, UK
- Health Data Insight CIC, Cambridge, UK
| | - Brian Shand
- NHS Digital, National Disease Registration Service, London, UK
- Health Data Insight CIC, Cambridge, UK
| | - Tameera Rahman
- NHS Digital, National Disease Registration Service, London, UK
- Health Data Insight CIC, Cambridge, UK
| | - Margreet Luchtenborg
- NHS Digital, National Disease Registration Service, London, UK
- Centre for Cancer, Society & Public Health, King's College London, London, UK
| | - Alice Garrett
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK
| | - Richard Barber
- Central and South Genomic Laboratory Hub, West Midlands Regional Genetics Laboratory, Birmingham, UK
| | - Tina Bedenham
- West Midlands, Oxford and Wessex Genomic Laboratory Hub, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - David Bourn
- North East and Yorkshire Genomic Laboratory Hub, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
| | - Kirsty Bradshaw
- East Midlands and East of England Genomics Laboratory, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Claire Brooks
- North Thames Genomic Laboratory Hub, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Jonathan Bruty
- East Genomic Laboratory Hub, Cambridge University Hospitals Genomic Laboratory, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - George J Burghel
- Manchester Centre for Genomic Medicine and North West Genomic Laboratory Hub, Manchester University NHS Foundation Trust, Manchester, UK
| | - Samantha Butler
- Central and South Genomic Laboratory Hub, West Midlands Regional Genetics Laboratory, Birmingham, UK
| | - Chris Buxton
- Bristol Genetics Laboratory, Southmead Hospital, Bristol, UK
| | - Alison Callaway
- Wessex Regional Genetics Laboratory, Salisbury Hospital NHS Foundation Trust, Salisbury, UK
| | - Jonathan Callaway
- Wessex Regional Genetics Laboratory, Salisbury Hospital NHS Foundation Trust, Salisbury, UK
| | - James Drummond
- East Genomic Laboratory Hub, Cambridge University Hospitals Genomic Laboratory, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Miranda Durkie
- Sheffield Diagnostic Genetics Service, North East and Yorkshire Genomic Laboratory Hub, Sheffield Children's NHS Foundation Trust, Sheffield, UK
| | - Joanne Field
- East Midlands and East of England Genomics Laboratory, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Lucy Jenkins
- North Thames Genomic Laboratory Hub, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Terri P McVeigh
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK
- Cancer Genetics Unit, Royal Marsden Hospital NHS Trust, London, UK
| | - Roger Mountford
- North West Genomic Laboratory Hub (Liverpool), Manchester Centre for Genomic Medicine, Liverpool, UK
| | - Rodney Nyanhete
- Sheffield Diagnostic Genetics Service, North East and Yorkshire Genomic Laboratory Hub, Sheffield Children's NHS Foundation Trust, Sheffield, UK
| | - Evgenia Petrides
- West Midlands, Oxford and Wessex Genomic Laboratory Hub, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Rachel Robinson
- Yorkshire and North East Genomic Laboratory Hub, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Tracy Scott
- Yorkshire and North East Genomic Laboratory Hub, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Victoria Stinton
- North West Genomic Laboratory Hub (Liverpool), Manchester Centre for Genomic Medicine, Liverpool, UK
| | - James Tellez
- North East and Yorkshire Genomic Laboratory Hub, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
| | - Andrew J Wallace
- Manchester Centre for Genomic Medicine and North West Genomic Laboratory Hub, Manchester University NHS Foundation Trust, Manchester, UK
| | | | - Kate Sahan
- The Ethox Centre and Wellcome Centre for Ethics and Humanities, Nuffield Department of Population Health, University of Oxford Ethox Centre, Oxford, UK
| | - Nina Hallowell
- The Ethox Centre and Wellcome Centre for Ethics and Humanities, Nuffield Department of Population Health, University of Oxford Ethox Centre, Oxford, UK
| | - Diana M Eccles
- Cancer Sciences, University of Southampton Faculty of Medicine, Southampton, UK
- Human Genetics and Genomic Medicine, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Paul Pharoah
- Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, Cambridge, UK
| | - Marc Tischkowitz
- Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, Cambridge, UK
| | - Antonis C Antoniou
- Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, Cambridge, UK
| | - D Gareth Evans
- Manchester Centre for Genomic Medicine and North West Genomic Laboratory Hub, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Evolution & Genomic Sciences, The University of Manchester, Manchester, UK
| | - Fiona Lalloo
- Manchester Centre for Genomic Medicine and North West Genomic Laboratory Hub, Manchester University NHS Foundation Trust, Manchester, UK
| | - Gail Norbury
- South East Genomic Laboratory Hub, Guy's and St Thomas' Hospitals NHS Trust, London, UK
| | - Eva Morris
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - John Burn
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Steven Hardy
- NHS Digital, National Disease Registration Service, London, UK
| | - Clare Turnbull
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK
- Cancer Genetics Unit, Royal Marsden Hospital NHS Trust, London, UK
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9
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Okunola HL, Shuryak I, Repin M, Wu HC, Santella RM, Terry MB, Turner HC, Brenner DJ. Improved prediction of breast cancer risk based on phenotypic DNA damage repair capacity in peripheral blood B cells. RESEARCH SQUARE 2023:rs.3.rs-3093360. [PMID: 37461559 PMCID: PMC10350237 DOI: 10.21203/rs.3.rs-3093360/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Background Standard Breast Cancer (BC) risk prediction models based only on epidemiologic factors generally have quite poor performance, and there have been a number of risk scores proposed to improve them, such as AI-based mammographic information, polygenic risk scores and pathogenic variants. Even with these additions BC risk prediction performance is still at best moderate. In that decreased DNA repair capacity (DRC) is a major risk factor for development of cancer, we investigated the potential to improve BC risk prediction models by including a measured phenotypic DRC assay. Methods Using blood samples from the Breast Cancer Family Registry we assessed the performance of phenotypic markers of DRC in 46 matched pairs of individuals, one from each pair with BC (with blood drawn before BC diagnosis) and the other from controls matched by age and time since blood draw. We assessed DRC in thawed cryopreserved peripheral blood mononuclear cells (PBMCs) by measuring γ-H2AX yields (a marker for DNA double-strand breaks) at multiple times from 1 to 20 hrs after a radiation challenge. The studies were performed using surface markers to discriminate between different PBMC subtypes. Results The parameter F res , the residual damage signal in PBMC B cells at 20 hrs post challenge, was the strongest predictor of breast cancer with an AUC (Area Under receiver-operator Curve) of 0.89 [95% Confidence Interval: 0.84-0.93] and a BC status prediction accuracy of 0.80. To illustrate the combined use of a phenotypic predictor with standard BC predictors, we combined F res in B cells with age at blood draw, and found that the combination resulted in significantly greater BC predictive power (AUC of 0.97 [95% CI: 0.94-0.99]), an increase of 13 percentage points over age alone. Conclusions If replicated in larger studies, these results suggest that inclusion of a fingerstick-based phenotypic DRC blood test has the potential to markedly improve BC risk prediction.
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Affiliation(s)
| | | | | | - Hui-Chen Wu
- Columbia University Mailman School of Public Health
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10
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Flaum N, Crosbie EJ, Woodward ER, Lalloo F, Morgan R, Ryan N, Evans DG. MSH2 is the very young onset ovarian cancer predisposition gene, not BRCA1. J Med Genet 2023; 60:576-577. [PMID: 36894311 DOI: 10.1136/jmg-2022-109055] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 12/22/2022] [Indexed: 03/11/2023]
Affiliation(s)
- Nicola Flaum
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK .,North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Emma J Crosbie
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.,Division of Gynaecology, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Emma Roisin Woodward
- Clinical Genetics Service, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Fiona Lalloo
- Clinical Genetics Service, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | | | - Neil Ryan
- The Academic Women's Health Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - D Gareth Evans
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.,North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.,The Christie NHS Foundation Trust, Manchester, UK.,Prevention Breast Cancer Centre and Nightingale Breast Screening Centre, University Hospital of South Manchester, Manchester, UK.,Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, Manchester, UK
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11
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Srinivasa S, Bowman M, Titterton L, Harnett P, Brand A, Kirk J, Ragunathan A. Mainstream genetic testing for high-grade ovarian, tubal and peritoneal cancers: A tertiary referral centre experience. Aust N Z J Obstet Gynaecol 2023; 63:241-246. [PMID: 36785489 DOI: 10.1111/ajo.13650] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 01/17/2023] [Indexed: 02/15/2023]
Abstract
BACKGROUND Fifteen percent of ovarian, tubal, and peritoneal (OTP) invasive epithelial cancers are linked to an underlying heritable pathogenic variant (PV) in the BRCA1/2 cancer susceptibility genes. Identifying a PV has management implications for an affected individual and relatives. Cancer team-facilitated genetic testing (mainstreaming) aims to provide equitable systematic access to genetic testing for appropriate patients. AIM To evaluate a multi-disciplinary team (MDT)-led mainstream germline genetic testing program for OTP cancer at a tertiary referral centre. MATERIALS AND METHODS We conducted a retrospective review of our MDT-led mainstream genetic testing program initiated in June 2017. We included all patients diagnosed with OTP cancer registered with the hospital gynaecological oncology MDT from program initiation to December 2020. Patients were considered eligible for testing if they were diagnosed with a high-grade epithelial OTP AND ≤70 years, OR if >70 with a first/second degree relative with breast and/or ovarian cancer OR Jewish ancestry. RESULTS Of 205 women diagnosed with high-grade epithelial OTP cancer, 140 were eligible for mainstreaming. Eight-five percent were mainstreamed, with the gynae-oncologists facilitating 64.5% of tests. The overall PV detection rate in BRCA1/2 was 10.1% (BRCA1 n = 9, BRCA2 n = 3). The median turnaround time (TAT) was 44.5 days (range 16-118). All women with PV were referred to the Familial Cancer Service for further assessment and five (of six eligible; 83%) were subsequently treated with polyadenosine diphosphate ribose polymerase inhibitors. Cascade testing was undertaken in 75% of families with a mean of three relatives tested per proband. CONCLUSION Mainstreamed genetic testing is feasible, with an acceptable TAT, ensuring adequate opportunity to inform treatment decisions. Tumour testing and inclusion of moderate-risk cancer predisposition genes in mainstreaming represent potential pathways that will require further exploration.
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Affiliation(s)
- Shweta Srinivasa
- Familial Cancer Service, Crown Princess Mary Cancer Centre, Westmead Hospital, Sydney, New South Wales, Australia
| | - Michelle Bowman
- Familial Cancer Service, Crown Princess Mary Cancer Centre, Westmead Hospital, Sydney, New South Wales, Australia
| | - Leanna Titterton
- Familial Cancer Service, Crown Princess Mary Cancer Centre, Westmead Hospital, Sydney, New South Wales, Australia
| | - Paul Harnett
- Department of Medical Oncology, Crown Princess Mary Cancer Centre, Westmead Hospital, Sydney, New South Wales, Australia
| | - Alison Brand
- University of Sydney, Sydney, New South Wales, Australia
- Department of Gynaeoncology, Crown Princess Mary Cancer Centre, Westmead Hospital, Sydney, New South Wales, Australia
| | - Judy Kirk
- Familial Cancer Service, Crown Princess Mary Cancer Centre, Westmead Hospital, Sydney, New South Wales, Australia
- University of Sydney, Sydney, New South Wales, Australia
| | - Abiramy Ragunathan
- Familial Cancer Service, Crown Princess Mary Cancer Centre, Westmead Hospital, Sydney, New South Wales, Australia
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12
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McNeill A. 2022: the year that was in the European Journal of Human Genetics. Eur J Hum Genet 2023; 31:131-133. [PMID: 36750730 PMCID: PMC9905485 DOI: 10.1038/s41431-023-01283-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023] Open
Affiliation(s)
- Alisdair McNeill
- Department of Neuroscience, The University of Sheffield, Sheffield, UK.
- Sheffield Clinical Genetics Department, Sheffield Children's Hospital NHS Foundation Trust, Sheffield, UK.
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13
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Advances in Genomic Technologies Change High-Risk Testing for Breast And Colorectal Cancer. Am J Med Genet A 2022; 188:2522-2523. [PMID: 35962728 DOI: 10.1002/ajmg.a.62315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/23/2022] [Accepted: 08/01/2022] [Indexed: 01/24/2023]
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14
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McNeill A. No April fools in clinical genomics. Eur J Hum Genet 2022; 30:389-390. [PMID: 35393563 PMCID: PMC8989974 DOI: 10.1038/s41431-022-01084-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- Alisdair McNeill
- Department of Neuroscience, The University of Sheffield, Sheffield, UK.
- Sheffield Clinical Genetics Department, Sheffield Children's Hospital NHS Foundation Trust, Sheffield, UK.
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15
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Abedalthagafi M. Index case identification and outcomes of cascade testing in high-risk breast and colorectal cancer predisposition genes. Eur J Hum Genet 2022; 30:392-393. [PMID: 35064222 PMCID: PMC8991238 DOI: 10.1038/s41431-021-01030-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 12/13/2021] [Indexed: 01/03/2023] Open
Affiliation(s)
- Malak Abedalthagafi
- Department of Genomics Research, Saudi Genome Program, King Fahad Medical City and King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia.
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16
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Sarki M, Ming C, Aissaoui S, Bürki N, Caiata-Zufferey M, Erlanger TE, Graffeo-Galbiati R, Heinimann K, Heinzelmann-Schwarz V, Monnerat C, Probst-Hensch N, Rabaglio M, Zürrer-Härdi U, Chappuis PO, Katapodi MC. Intention to Inform Relatives, Rates of Cascade Testing, and Preference for Patient-Mediated Communication in Families Concerned with Hereditary Breast and Ovarian Cancer and Lynch Syndrome: The Swiss CASCADE Cohort. Cancers (Basel) 2022; 14:cancers14071636. [PMID: 35406409 PMCID: PMC8997156 DOI: 10.3390/cancers14071636] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 03/16/2022] [Accepted: 03/21/2022] [Indexed: 12/30/2022] Open
Abstract
Cascade screening for Tier 1 cancer genetic conditions is a significant public health intervention because it identifies untested relatives of individuals known to carry pathogenic variants associated with hereditary breast and ovarian cancer (HBOC) and Lynch syndrome (LS). The Swiss CASCADE is a family-based, open-ended cohort, including carriers of HBOC- and LS-associated pathogenic variants and their relatives. This paper describes rates of cascade screening in relatives from HBOC- and LS- harboring families, examines carriers' preferences for communication of testing results, and describes theory-based predictors of intention to invite relatives to a cascade screening program. Information has been provided by 304 index cases and 115 relatives recruited from September 2017 to December 2021. On average, 10 relatives per index case were potentially eligible for cascade screening. Approximately 65% of respondents wanted to invite relatives to the cohort, and approximately 50% indicated a preference for patient-mediated communication of testing results, possibly with the assistance of digital technology. Intention to invite relatives was higher for first- compared to second- and third-degree relatives, but was not different between syndromes or based on relatives' gender. The family environment and carrying pathogenic variants predicts intention to invite relatives. Information helps optimize delivery of tailored genetic services.
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Affiliation(s)
- Mahesh Sarki
- Department of Clinical Research, University of Basel, 4055 Basel, Switzerland; (M.S.); (C.M.)
| | - Chang Ming
- Department of Clinical Research, University of Basel, 4055 Basel, Switzerland; (M.S.); (C.M.)
| | - Souria Aissaoui
- Breast Center, Cantonal Hospital Fribourg, 1752 Fribourg, Switzerland;
- GENESUPPORT, The Breast Centre, Hirslanden Clinique de Grangettes, 1224 Geneva, Switzerland
| | - Nicole Bürki
- Women’s Clinic, University Hospital Basel, 4031 Basel, Switzerland; (N.B.); (V.H.-S.)
| | - Maria Caiata-Zufferey
- Department of Business Economics, Health and Social Care, University of Applied Sciences and Arts of Southern Switzerland, 6928 Manno, Switzerland;
| | | | | | - Karl Heinimann
- Institute for Medical Genetics and Pathology, University Hospital Basel, 4031 Basel, Switzerland;
- Research Group Human Genomics, Department of Biomedicine, University of Basel, 4031 Basel, Switzerland
| | | | - Christian Monnerat
- Department of Medical Oncology, Hospital of Jura, 2800 Delemont, Switzerland;
| | - Nicole Probst-Hensch
- Swiss Tropical and Public Health Institute, University of Basel, 4123 Allschwil, Switzerland;
| | - Manuela Rabaglio
- Department of Medical Oncology, Inselspital, Bern University Hospital, 3010 Bern, Switzerland;
| | - Ursina Zürrer-Härdi
- Department of Medical Oncology, Cantonal Hospital Winterthur, 8400 Winterthur, Switzerland;
| | - Pierre Olivier Chappuis
- Unit of Oncogenetics, Division of Oncology, University Hospitals of Geneva, 1205 Geneva, Switzerland;
- Division of Genetic Medicine, University Hospitals of Geneva, 1205 Geneva, Switzerland
| | - Maria C. Katapodi
- Department of Clinical Research, University of Basel, 4055 Basel, Switzerland; (M.S.); (C.M.)
- Correspondence: ; Tel.: +41-61-207-04-30
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