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Gu Y, Yang R, Zhang Y, Guo M, Takehiro K, Zhan M, Yang L, Wang H. Molecular mechanisms and therapeutic strategies in overcoming chemotherapy resistance in cancer. MOLECULAR BIOMEDICINE 2025; 6:2. [PMID: 39757310 PMCID: PMC11700966 DOI: 10.1186/s43556-024-00239-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 11/26/2024] [Accepted: 12/02/2024] [Indexed: 01/07/2025] Open
Abstract
Cancer remains a leading cause of mortality globally and a major health burden, with chemotherapy often serving as the primary therapeutic option for patients with advanced-stage disease, partially compensating for the limitations of non-curative treatments. However, the emergence of chemotherapy resistance significantly limits its efficacy, posing a major clinical challenge. Moreover, heterogeneity of resistance mechanisms across cancer types complicates the development of universally effective diagnostic and therapeutic approaches. Understanding the molecular mechanisms of chemoresistance and identifying strategies to overcome it are current research focal points. This review provides a comprehensive analysis of the key molecular mechanisms underlying chemotherapy resistance, including drug efflux, enhanced DNA damage repair (DDR), apoptosis evasion, epigenetic modifications, altered intracellular drug metabolism, and the role of cancer stem cells (CSCs). We also examine specific causes of resistance in major cancer types and highlight various molecular targets involved in resistance. Finally, we discuss current strategies aiming at overcoming chemotherapy resistance, such as combination therapies, targeted treatments, and novel drug delivery systems, while proposing future directions for research in this evolving field. By addressing these molecular barriers, this review lays a foundation for the development of more effective cancer therapies aimed at mitigating chemotherapy resistance.
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Affiliation(s)
- Yixiang Gu
- Department of Biliary-Pancreatic Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
- Shanghai Key Laboratory of Biliary Tract Disease, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Ruifeng Yang
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Yang Zhang
- Department of Biliary-Pancreatic Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
- Shanghai Key Laboratory of Biliary Tract Disease, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Miaomiao Guo
- The Core Laboratory in Medical Center of Clinical Research, State Key Laboratory of Medical Genomics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200125, China
| | | | - Ming Zhan
- The Core Laboratory in Medical Center of Clinical Research, State Key Laboratory of Medical Genomics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200125, China
- Department of Systems Biology, Beckman Research Institute, City of Hope, Monrovia, CA, 91016, USA
| | - Linhua Yang
- Department of Biliary-Pancreatic Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
- Shanghai Key Laboratory of Biliary Tract Disease, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
| | - Hui Wang
- Department of Biliary-Pancreatic Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
- Shanghai Key Laboratory of Biliary Tract Disease, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
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Lei S, Zheng R, Zhang S, Wei W. The burden and long-term trends of breast cancer by different menopausal status in China. JOURNAL OF THE NATIONAL CANCER CENTER 2024; 4:326-334. [PMID: 39735447 PMCID: PMC11674430 DOI: 10.1016/j.jncc.2024.04.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 04/12/2024] [Accepted: 04/30/2024] [Indexed: 12/31/2024] Open
Abstract
Background The burden of breast cancer in women of different menopausal status has not been assessed in China previously. We aim to evaluate and project the burden of breast cancer in different menopausal status in China. Methods The incidence and mortality of breast cancer were estimated using the data of 554 cancer registries in 2017 and the trends of incidence and mortality of 112 cancer registries from 2010 to 2017. Data from 22 continued cancer registries from 2000 to 2017 were applied for long-term trend projection to 2030 using the Bayesian age-period-cohort model. Menopausal status was stratified by age, with premenopause defined as chronological age <45 years, perimenopause defined as 45-54 years, and postmenopause defined as ≥55 years. Results Approximately 352,300 incident cases and 74,200 deaths of breast cancer occurred in China in 2020, contributing to 2.6 million disability-adjusted life years (DALYs). Perimenopausal women had the highest incidence, prevalence, and DALYs rates, with the rates being 100.3 per 100,000, 819.2 per 100,000 and 723.1 per 100,000 persons. While postmenopausal women had the highest mortality rates (25.5 per 100,000 persons). From 2000 to 2017, the largest increase in incidence and mortality for breast cancer was observed in postmenopausal women with an average annual percentage change (AAPC) of 5.6% and 2.94%. The number of breast cancer cases and deaths will increase to 452,000 and 98,800 in 2030, resulting in 3.2 million DALYs. Conclusions The burden of breast cancer is rapidly increasing in China and varies among different menopausal status. Specific prevention and control strategies for women in different menopausal status will be more helpful in reducing the rapidly growing trends of breast cancer.
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Affiliation(s)
- Shaoyuan Lei
- Department of Evidence-Based Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Beijing Municipal Geriatric Medical Research Center, Beijing, China
| | - Rongshou Zheng
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Siwei Zhang
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wenqiang Wei
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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3
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Sader D, Zlotver I, Moya S, Calabrese GC, Sosnik A. Doubly self-assembled dermatan sulfate/chitosan nanoparticles for targeted siRNA delivery in cancer therapy. J Colloid Interface Sci 2024; 680:763-775. [PMID: 39580927 DOI: 10.1016/j.jcis.2024.11.132] [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: 09/10/2024] [Revised: 11/16/2024] [Accepted: 11/17/2024] [Indexed: 11/26/2024]
Abstract
RNA interference, a naturally occurring regulatory mechanism in which small interfering RNA (siRNA) molecules are responsible for the sequence-specific suppression of gene expression, emerged as one of the most promising gene therapies in cancer. In this work, we investigate a microfluidics double self-assembly method based on micellization and polyelectrolyte complex formation for the encapsulation of siRNA targeting the BIRC5 gene, a member of the inhibitor of apoptosis gene family, that codes for survivin a protein of theinhibitorof apoptosis protein family that is involved in triple-negative breast cancer (TNBC) proliferation and metastasis within nanoparticles of an amphiphilic chitosan-graft-poly(methyl methacrylate) copolymer and low-molecular weight dermatan sulfate, a polysaccharide targeting the CD44 receptor overexpressed in this tumor. Nanoparticles are spherical and display a hydrodynamic diameter of ∼ 200 nm, as measured by dynamic light scattering and scanning electron microscopy. In addition, these colloidal systems exhibit a strongly negative zeta-potential that confers them excellent physical stability for at least four months owing to electrostatic repulsion and evidences the exposure of the polyanionic dermatan sulfate on the surface. The key role of dermatan sulfate in the active targeting and intracellular delivery of the cargo in the murine breast cancer cell line 4T1, a model of TNBC, is confirmed by confocal laser scanning microscopy and imaging flow cytometry. Finally, the silencing efficiency is demonstrated in 4T1 cell viability, migration, proliferation and spheroid formation assays in vitro. Overall results highlight the promise of this simple, reproducible and scalable method for the nanoencapsulation of siRNA and other therapeutic nucleic acids.
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Affiliation(s)
- Dareen Sader
- Laboratory of Pharmaceutical Nanomaterials Science, Department of Materials Science and Engineering Technion - Israel Institute of Technology, Technion City 320003, Haifa, Israel
| | - Ivan Zlotver
- Laboratory of Pharmaceutical Nanomaterials Science, Department of Materials Science and Engineering Technion - Israel Institute of Technology, Technion City 320003, Haifa, Israel
| | - Sergio Moya
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), 20014 Donostia-San Sebastian, Spain
| | - Graciela C Calabrese
- Departamento de Ciencias Biológicas, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires (UBA) and Instituto de Química Fisicoquímica Biológicas "Prof. Alejandro C. Paladini" (IQUIFIB) UBA - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Junín 956, C1113AAD Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
| | - Alejandro Sosnik
- Laboratory of Pharmaceutical Nanomaterials Science, Department of Materials Science and Engineering Technion - Israel Institute of Technology, Technion City 320003, Haifa, Israel.
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Tang H, Wang J, Bao J, Zhang L. Physical fitness decline and career paths: a longitudinal study of medical undergraduates. BMC MEDICAL EDUCATION 2024; 24:513. [PMID: 38720325 PMCID: PMC11080080 DOI: 10.1186/s12909-024-05493-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 04/30/2024] [Indexed: 05/12/2024]
Abstract
INTRODUCTION Exercise enhances one's health and competitiveness. A strong physical fitness status can pave the way for a promising future. This study presents the time-based trends in physical fitness indicators-including height, weight, BMI, lung capacity, dash, long-distance running, and standing long jump-among medical undergraduates during their university years. Additionally, we analyzed the impact of students' physical fitness on their career paths. METHOD We conducted a retrospective database study by collecting physical fitness test data and career paths information for 634 medical students from a university in southwestern China. These students graduated in 2022. The career paths included pursuits in further studies, employment, and unemployment. To detect differences in these aspects, we used the t-test and Chi-square test. RESULTS Our study indicates a significant declining trend in the physical fitness of medical students during their university years. The changes observed between the first and fourth tests are as follows: Weight (kg): 58.52 ± 10.48 to 60.73 ± 12.07, P < 0.00 BMI (kg/m^2): 20.79 ± 2.74 to 21.24 ± 3.06, P < 0.00 50-m dash (s): 8.91 ± 0.99 to 9.25 ± 1.11, P < 0.00 Standing long jump (cm): 187.74 ± 30.98 to 182.59 ± 32.25, P < 0.00 800-m run for females (min): 3.84 ± 0.47 to 4.48 ± 0.85, P < 0.00 1000-m run for males (min): 3.98 ± 0.63 to 4.62 ± 0.87, P < 0.00 Sit-ups for females (count): 30.39 ± 7.5 to 29.03 ± 8.82, P < 0.00 Upon analyzing the correlation between changes in physical fitness and career paths, students with stable or decreased BMI had better post-graduation outcomes compared to students with increased BMI. CONCLUSIONS Medical students show a declining trend in physical fitness during their undergraduate years. A good physical health status is beneficial for achieving better career paths. Medical students should place greater emphasis on physical exercise during their time in school.
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Affiliation(s)
- Haitao Tang
- Health Management Center, General Practice Medical Center, West China Hospital, Chengdu, China
- Department of Postgraduate Students, West China Hospital, Sichuan University, Chengdu, China
| | - Jinsong Wang
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
- Department of Student Affairs, West China Hospital, Sichuan University, Chengdu, China
| | - Ji Bao
- Department of Pathology, Institute of Clinical Pathology, Key Laboratory of Transplant Engineering and Immunology, West China Hospital, Sichuan University, Chengdu, China
| | - Lie Zhang
- Health Management Center, General Practice Medical Center, West China Hospital, Chengdu, China.
- Department of Student Affairs, West China Hospital, Sichuan University, Chengdu, China.
- Department of Emergency Management Office, West China Hospital, Sichuan University, Chengdu, China.
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5
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Nie F, Zhang Q, Ma W, Yan J. miRNA-200c-3p deficiency promotes epithelial-mesenchymal transition in triple-negative breast cancer by activating CRKL expression. Discov Oncol 2024; 15:146. [PMID: 38717531 PMCID: PMC11078912 DOI: 10.1007/s12672-024-01004-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 04/30/2024] [Indexed: 05/12/2024] Open
Abstract
Epithelial-mesenchymal transition (EMT) plays an important role in malignant progression of Triple-negative breast cancer (TNBC). Many studies have confirmed that miRNA-200c-3p is related to EMT. And we found that it is involved in the regulation of EMT, but the exact mechanism is unclear. CRKL is highly expressed in a variety of tumors and plays a role in EMT. In this study, the potential targets of miRNA-200c-3p were searched in miRPathDB, Targetscan and PicTar. And there are 68 potential targets at the intersection of the three databases. Then, bioinformatics and text mining performed by Coremine Medica, and found that among 68 potential targets, CRKL has the strongest correlation with EMT in TNBC. Therefore, we speculated that miRNA-200c-3p involvement in EMT might be related to CRKL. To verify miRNA-200c-3p inhibits the malignant phenotype of TNBC by regulating CRKL, RT‒PCR, western blotting, Clonal formation assays,CCK-8 proliferation assays, transwell invasion assays, Luciferase reporter assay and nude mouse transplantation tumor assay were performed. In this study, we found that miRNA-200c-3p is under-expressed and EMT-related genes are up-regulated in TNBC, and miRNA-200c-3p can inhibit cancer cell proliferation, invasion and the expression of EMT-related genes and proteins in TNBC. Further research confirmed that miRNA-200c-3p could inhibit EMT by inhibiting the expression of CRKL that directly combining CRKL gene.
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Affiliation(s)
- Fangfang Nie
- Department of Oncology, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, No. 1 Chengbei Road, Jiading District, Shanghai, 201800, China
| | - Qinfang Zhang
- Department of Oncology, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, No. 1 Chengbei Road, Jiading District, Shanghai, 201800, China
| | - WeiNa Ma
- Department of Pharmacy, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai, 201800, China.
| | - Jun Yan
- Department of Oncology, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, No. 1 Chengbei Road, Jiading District, Shanghai, 201800, China.
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Wilby AJ, Cabral S, Zoghi N, Howell SJ, Farnie G, Harrison H. A novel preclinical model of the normal human breast. J Mammary Gland Biol Neoplasia 2024; 29:9. [PMID: 38695983 PMCID: PMC11065935 DOI: 10.1007/s10911-024-09562-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 04/01/2024] [Indexed: 05/05/2024] Open
Abstract
Improved screening and treatment have decreased breast cancer mortality, although incidence continues to rise. Women at increased risk of breast cancer can be offered risk reducing treatments, such as tamoxifen, but this has not been shown to reduce breast cancer mortality. New, more efficacious, risk-reducing agents are needed. The identification of novel candidates for prevention is hampered by a lack of good preclinical models. Current patient derived in vitro and in vivo models cannot fully recapitulate the complexities of the human tissue, lacking human extracellular matrix, stroma, and immune cells, all of which are known to influence therapy response. Here we describe a normal breast explant model utilising a tuneable hydrogel which maintains epithelial proliferation, hormone receptor expression, and residency of T cells and macrophages over 7 days. Unlike other organotypic tissue cultures which are often limited by hyper-proliferation, loss of hormone signalling, and short treatment windows (< 48h), our model shows that tissue remains viable over 7 days with none of these early changes. This offers a powerful and unique opportunity to model the normal breast and study changes in response to various risk factors, such as breast density and hormone exposure. Further validation of the model, using samples from patients undergoing preventive therapies, will hopefully confirm this to be a valuable tool, allowing us to test novel agents for breast cancer risk reduction preclinically.
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Affiliation(s)
- Anthony J Wilby
- Division of Cancer Sciences, Manchester Cancer Research Centre, University of Manchester, Oglesby Cancer Research Building, Wilmslow Road, Manchester, M20 4GJ, United Kingdom
- Manchester Breast Centre, University of Manchester, Wilmslow Road, Manchester, M20 4GJ, United Kingdom
| | - Sara Cabral
- Division of Cancer Sciences, Manchester Cancer Research Centre, University of Manchester, Oglesby Cancer Research Building, Wilmslow Road, Manchester, M20 4GJ, United Kingdom
- Manchester Breast Centre, University of Manchester, Wilmslow Road, Manchester, M20 4GJ, United Kingdom
- Henry Royce Institute, University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
| | - Nastaran Zoghi
- Department of Materials & Institute of Biotechnology, University of Manchester, Manchester, M1 7DN, United Kingdom
| | - Sacha J Howell
- Division of Cancer Sciences, Manchester Cancer Research Centre, University of Manchester, Oglesby Cancer Research Building, Wilmslow Road, Manchester, M20 4GJ, United Kingdom
- Manchester Breast Centre, University of Manchester, Wilmslow Road, Manchester, M20 4GJ, United Kingdom
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, 29 Grafton St, Manchester, M13 9WU, United Kingdom
- The Nightingale and Prevent Breast Cancer Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, United Kingdom
| | - Gillian Farnie
- Cancer Research Horizons, The Francis Crick Institute, 1 Midland Road, Manchester, NW1 1AT, United Kingdom
| | - Hannah Harrison
- Division of Cancer Sciences, Manchester Cancer Research Centre, University of Manchester, Oglesby Cancer Research Building, Wilmslow Road, Manchester, M20 4GJ, United Kingdom.
- Manchester Breast Centre, University of Manchester, Wilmslow Road, Manchester, M20 4GJ, United Kingdom.
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Beyrami M, Khodadadi I, Tavilani H, Razavi ANE, Karimi J. Uncovering the relationship between YAP/ WWTR1 (TAZ) genes expression and LncRNAs of SNHG15, HCP5 and LINC01433 in breast cancer tissues. Pathol Res Pract 2024; 257:155286. [PMID: 38599044 DOI: 10.1016/j.prp.2024.155286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 03/11/2024] [Accepted: 03/30/2024] [Indexed: 04/12/2024]
Abstract
In spite of the decrease in breast cancer (BC) death rates, it has remained a significant public health concern. Dysregulation of the Hippo pathway contributes to breast cancer development and progression by enhancing cancerous cell proliferation, survival, invasion, and migration. Investigating the connection between specific lncRNAs (SNHG15, HCP5, and LINC01433) and YAP and WWTR1, and the impact of these lncRNAs on the expression of YAP and WWTR1 proteins in the Hippo pathway, may offer valuable understanding for BC diagnosis and treatment. Forty BC tissue samples were acquired from the Tumor Bank and utilized for RNA and protein extraction. Real-time PCR and western blotting techniques were performed to assess the gene and protein expressions, respectively. Correlations between variables and their associations with clinicopathological features in BC were evaluated using Mann-Whitney U or Student's t-test. Additionally, the analysis of the GEO database was utilized to validate the findings. In cancerous tissue, the up-regulation of YAP, WWTR1, HCP5, SNHG15, and Linc01433 at both the mRNA and protein levels corresponds to the findings in GEO datasets. A significant association was found between YAP and histological grade, while WWTR1 showed a correlation with family history and HER-2. The distinct and notable expression of YAP, WWTR1, SNHG15, HCP5, and Linc01433 in BC tissues, together with the results of combined ROC curve analysis derived from our finding and GEO database suggest that a combined panel of these 5 RNAs may have great potential in predicting of BC and its management.
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Affiliation(s)
- Mehdi Beyrami
- Department of Clinical Biochemistry, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Islamic Republic of Iran
| | - Iraj Khodadadi
- Department of Clinical Biochemistry, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Islamic Republic of Iran
| | - Heidar Tavilani
- Department of Clinical Biochemistry, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Islamic Republic of Iran
| | - Amir Nader Emami Razavi
- Iran National Tumor Bank, Cancer Institute, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Jamshid Karimi
- Department of Clinical Biochemistry, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Islamic Republic of Iran.
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8
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Loibl S, André F, Bachelot T, Barrios CH, Bergh J, Burstein HJ, Cardoso MJ, Carey LA, Dawood S, Del Mastro L, Denkert C, Fallenberg EM, Francis PA, Gamal-Eldin H, Gelmon K, Geyer CE, Gnant M, Guarneri V, Gupta S, Kim SB, Krug D, Martin M, Meattini I, Morrow M, Janni W, Paluch-Shimon S, Partridge A, Poortmans P, Pusztai L, Regan MM, Sparano J, Spanic T, Swain S, Tjulandin S, Toi M, Trapani D, Tutt A, Xu B, Curigliano G, Harbeck N. Early breast cancer: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up. Ann Oncol 2024; 35:159-182. [PMID: 38101773 DOI: 10.1016/j.annonc.2023.11.016] [Citation(s) in RCA: 56] [Impact Index Per Article: 56.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/21/2023] [Accepted: 11/28/2023] [Indexed: 12/17/2023] Open
Affiliation(s)
- S Loibl
- GBG Forschungs GmbH, Neu-Isenburg; Centre for Haematology and Oncology, Bethanien, Frankfurt, Germany
| | - F André
- Breast Cancer Unit, Medical Oncology Department, Gustave Roussy, Cancer Campus, Villejuif
| | - T Bachelot
- Department of Medical Oncology, Centre Léon Bérard, Lyon, France
| | - C H Barrios
- Oncology Department, Latin American Cooperative Oncology Group and Oncoclínicas, Porto Alegre, Brazil
| | - J Bergh
- Department of Oncology-Pathology, Bioclinicum, Karolinska Institutet and Breast Cancer Centre, Karolinska Comprehensive Cancer Centre and University Hospital, Stockholm, Sweden
| | - H J Burstein
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - M J Cardoso
- Breast Unit, Champalimaud Foundation, Champalimaud Cancer Centre, Lisbon; Faculty of Medicine, Lisbon University, Lisbon, Portugal
| | - L A Carey
- Division of Medical Oncology, The University of North Carolina at Chapel Hill, Lineberger Comprehensive Cancer Center, Chapel Hill, USA
| | - S Dawood
- Department of Oncology, Mediclinic City Hospital, Dubai, UAE
| | - L Del Mastro
- Medical Oncology Clinic, IRCCS Ospedale Policlinico San Martino, Genoa; Department of Internal Medicine and Medical Specialities, School of Medicine, University of Genoa, Genoa, Italy
| | - C Denkert
- Institute of Pathology, Philipps-University Marburg and University Hospital Giessen and Marburg, Marburg
| | - E M Fallenberg
- Department of Diagnostic and Interventional Radiology, School of Medicine & Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - P A Francis
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - H Gamal-Eldin
- Department of Surgical Oncology, National Cancer Institute, Cairo University, Cairo, Egypt
| | - K Gelmon
- Department of Medical Oncology, British Columbia Cancer, Vancouver, Canada
| | - C E Geyer
- Department of Internal Medicine, Hillman Cancer Center, University of Pittsburgh, Pittsburgh, USA
| | - M Gnant
- Comprehensive Cancer Centre, Medical University of Vienna, Vienna, Austria
| | - V Guarneri
- Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova; Oncology 2 Unit, Istituto Oncologico Veneto IOV IRCCS, Padova, Italy
| | - S Gupta
- Department of Medical Oncology, Tata Memorial Centre, Mumbai, India
| | - S B Kim
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - D Krug
- Department of Radiation Oncology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - M Martin
- Hospital General Universitario Gregorio Maranon, Universidad Complutense, GEICAM, Madrid, Spain
| | - I Meattini
- Department of Radiation Oncology, Azienda Ospedaliero-Universitaria Careggi, Florence; Department of Experimental and Clinical Biomedical Sciences 'M. Serio', University of Florence, Florence, Italy
| | - M Morrow
- Breast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, USA
| | - W Janni
- Department of Obstetrics and Gynaecology, University of Ulm, Ulm, Germany
| | - S Paluch-Shimon
- Sharett Institute of Oncology Department, Hadassah University Hospital & Faculty of Medicine Hebrew University, Jerusalem, Israel
| | - A Partridge
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - P Poortmans
- Department of Radiation Oncology, Iridium Netwerk, Antwerp; Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - L Pusztai
- Yale Cancer Center, Yale School of Medicine, New Haven
| | - M M Regan
- Division of Biostatistics, Dana-Farber Cancer Institute, Harvard Medical School, Boston
| | - J Sparano
- Department of Medicine, Division of Hematology/Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, USA
| | - T Spanic
- Europa Donna Slovenia, Ljubljana, Slovenia
| | - S Swain
- Medicine Department, Georgetown University Medical Centre and MedStar Health, Washington, USA
| | - S Tjulandin
- N.N. Blokhin National Medical Research Centre of Oncology, Moscow, Russia
| | - M Toi
- Tokyo Metropolitan Cancer and Infectious Disease Center, Komagome Hospital, Bunkyo-ku, Japan
| | - D Trapani
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - A Tutt
- Breast Cancer Research Division, The Institute of Cancer Research, London; Comprehensive Cancer Centre, Division of Cancer Studies, Kings College London, London, UK
| | - B Xu
- Department of Medical Oncology, National Cancer Centre/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - G Curigliano
- Early Drug Development for Innovative Therapies Division, Istituto Europeo di Oncologia, IRCCS, Milan; Department of Oncology and Hemato-Oncology, University of Milano, Milan, Italy
| | - N Harbeck
- Breast Centre, Department of Obstetrics & Gynaecology and Comprehensive Cancer Centre Munich, LMU University Hospital, Munich, Germany
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9
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Zhang H, Hussin H, Hoh CC, Cheong SH, Lee WK, Yahaya BH. Big data in breast cancer: Towards precision treatment. Digit Health 2024; 10:20552076241293695. [PMID: 39502482 PMCID: PMC11536614 DOI: 10.1177/20552076241293695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Accepted: 10/07/2024] [Indexed: 11/08/2024] Open
Abstract
Breast cancer is the most prevalent and deadliest cancer among women globally, representing a major threat to public health. In response, the World Health Organization has established the Global Breast Cancer Initiative framework to reduce breast cancer mortality through global collaboration. The integration of big data analytics (BDA) and precision medicine has transformed our understanding of breast cancer's biological traits and treatment responses. By harnessing large-scale datasets - encompassing genetic, clinical, and environmental data - BDA has enhanced strategies for breast cancer prevention, diagnosis, and treatment, driving the advancement of precision oncology and personalised care. Despite the increasing importance of big data in breast cancer research, comprehensive studies remain sparse, underscoring the need for more systematic investigation. This review evaluates the contributions of big data to breast cancer precision medicine while addressing the associated opportunities and challenges. Through the application of big data, we aim to deepen insights into breast cancer pathogenesis, optimise therapeutic approaches, improve patient outcomes, and ultimately contribute to better survival rates and quality of life. This review seeks to provide a foundation for future research in breast cancer prevention, treatment, and management.
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Affiliation(s)
- Hao Zhang
- Breast Cancer Translational Research Program (BCTRP@IPPT), Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia
- Department of Biomedical Sciences, Advanced Medical and Dental Institute (IPPT), Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia
| | - Hasmah Hussin
- Breast Cancer Translational Research Program (BCTRP@IPPT), Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia
- Department of Clinical Medicine, Advanced Medical and Dental Institute (IPPT), Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia
| | | | | | - Wei-Kang Lee
- Codon Genomics Sdn Bhd, Seri Kembangan, Selangor, Malaysia
| | - Badrul Hisham Yahaya
- Breast Cancer Translational Research Program (BCTRP@IPPT), Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia
- Department of Biomedical Sciences, Advanced Medical and Dental Institute (IPPT), Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia
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10
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Wang Y, Broeks A, Giardiello D, Hauptmann M, Jóźwiak K, Koop EA, Opdam M, Siesling S, Sonke GS, Stathonikos N, Ter Hoeve ND, van der Wall E, van Deurzen CHM, van Diest PJ, Voogd AC, Vreuls W, Linn SC, Dackus GMHE, Schmidt MK. External validation and clinical utility assessment of PREDICT breast cancer prognostic model in young, systemic treatment-naïve women with node-negative breast cancer. Eur J Cancer 2023; 195:113401. [PMID: 37925965 DOI: 10.1016/j.ejca.2023.113401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 10/19/2023] [Accepted: 10/19/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND The validity of the PREDICT breast cancer prognostic model is unclear for young patients without adjuvant systemic treatment. This study aimed to validate PREDICT and assess its clinical utility in young women with node-negative breast cancer who did not receive systemic treatment. METHODS We selected all women from the Netherlands Cancer Registry who were diagnosed with node-negative breast cancer under age 40 between 1989 and 2000, a period when adjuvant systemic treatment was not standard practice for women with node-negative disease. We evaluated the calibration and discrimination of PREDICT using the observed/expected (O/E) mortality ratio, and the area under the receiver operating characteristic curve (AUC), respectively. Additionally, we compared the potential clinical utility of PREDICT for selectively administering chemotherapy to the chemotherapy-to-all strategy using decision curve analysis at predefined thresholds. RESULTS A total of 2264 women with a median age at diagnosis of 36 years were included. Of them, 71.2% had estrogen receptor (ER)-positive tumors and 44.0% had grade 3 tumors. Median tumor size was 16 mm. PREDICT v2.2 underestimated 10-year all-cause mortality by 33% in all women (O/E ratio:1.33, 95%CI:1.22-1.43). Model discrimination was moderate overall (AUC10-year:0.65, 95%CI:0.62-0.68), and poor for women with ER-negative tumors (AUC10-year:0.56, 95%CI:0.51-0.62). Compared to the chemotherapy-to-all strategy, PREDICT only showed a slightly higher net benefit in women with ER-positive tumors, but not in women with ER-negative tumors. CONCLUSIONS PREDICT yields unreliable predictions for young women with node-negative breast cancer. Further model updates are needed before PREDICT can be routinely used in this patient subset.
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Affiliation(s)
- Yuwei Wang
- Department of Molecular Pathology, the Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Annegien Broeks
- Core Facility Molecular Pathology and Biobanking, the Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Daniele Giardiello
- Department of Molecular Pathology, the Netherlands Cancer Institute, Amsterdam, the Netherlands; Eurac Research, Institute of Biomedicine, Epidemiology and Biostatistics, Bolzano, Italy
| | - Michael Hauptmann
- Institute of Biostatistics and Registry Research, Brandenburg Medical School Theodor Fontane, Neuruppin, Germany
| | - Katarzyna Jóźwiak
- Institute of Biostatistics and Registry Research, Brandenburg Medical School Theodor Fontane, Neuruppin, Germany
| | - Esther A Koop
- Department of Pathology, Gelre Ziekenhuizen, Apeldoorn, the Netherlands
| | - Mark Opdam
- Department of Molecular Pathology, the Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Sabine Siesling
- Department of Research and Development, Netherlands Comprehensive Cancer Organization, Utrecht, the Netherlands; Department of Health Technology and Services Research, Technical Medical Centre, University of Twente, Enschede, the Netherlands
| | - Gabe S Sonke
- Department of Medical Oncology, the Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Nikolas Stathonikos
- Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Natalie D Ter Hoeve
- Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Elsken van der Wall
- Division of Internal Medicine and Dermatology, University Medical Center Utrecht, Utrecht, the Netherlands
| | | | - Paul J van Diest
- Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Adri C Voogd
- Department of Epidemiology, Maastricht University, Maastricht, the Netherlands
| | - Willem Vreuls
- Department of Pathology, Canisius Wilhelmina Ziekenhuis, Nijmegen, the Netherlands
| | - Sabine C Linn
- Department of Molecular Pathology, the Netherlands Cancer Institute, Amsterdam, the Netherlands; Department of Medical Oncology, the Netherlands Cancer Institute, Amsterdam, the Netherlands; Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Gwen M H E Dackus
- Department of Molecular Pathology, the Netherlands Cancer Institute, Amsterdam, the Netherlands; Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
| | - Marjanka K Schmidt
- Department of Molecular Pathology, the Netherlands Cancer Institute, Amsterdam, the Netherlands; Department of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands.
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11
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Kudura K, Ritz N, Templeton AJ, Kutzker T, Hoffmann MHK, Antwi K, Zwahlen DR, Kreissl MC, Foerster R. An Innovative Non-Linear Prediction Model for Clinical Benefit in Women with Newly Diagnosed Breast Cancer Using Baseline FDG-PET/CT and Clinical Data. Cancers (Basel) 2023; 15:5476. [PMID: 38001736 PMCID: PMC10670812 DOI: 10.3390/cancers15225476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 11/11/2023] [Accepted: 11/16/2023] [Indexed: 11/26/2023] Open
Abstract
Objectives: We aimed to develop a novel non-linear statistical model integrating primary tumor features on baseline [18F]-fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT), molecular subtype, and clinical data for treatment benefit prediction in women with newly diagnosed breast cancer using innovative statistical techniques, as opposed to conventional methodological approaches. Methods: In this single-center retrospective study, we conducted a comprehensive assessment of women newly diagnosed with breast cancer who had undergone a FDG-PET/CT scan for staging prior to treatment. Primary tumor (PT) volume, maximum and mean standardized uptake value (SUVmax and SUVmean), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were measured on PET/CT. Clinical data including clinical staging (TNM) but also PT anatomical site, histology, receptor status, proliferation index, and molecular subtype were obtained from the medical records. Overall survival (OS), progression-free survival (PFS), and clinical benefit (CB) were assessed as endpoints. A logistic generalized additive model was chosen as the statistical approach to assess the impact of all listed variables on CB. Results: 70 women with newly diagnosed breast cancer (mean age 63.3 ± 15.4 years) were included. The most common location of breast cancer was the upper outer quadrant (40.0%) in the left breast (52.9%). An invasive ductal adenocarcinoma (88.6%) with a high tumor proliferation index (mean ki-67 expression 35.1 ± 24.5%) and molecular subtype B (51.4%) was by far the most detected breast tumor. Most PTs displayed on hybrid imaging a greater volume (12.8 ± 30.4 cm3) with hypermetabolism (mean ± SD of PT maximum SUVmax, SUVmean, MTV, and TLG, respectively: 8.1 ± 7.2, 4.9 ± 4.4, 12.7 ± 30.4, and 47.4 ± 80.2). Higher PT volume (p < 0.01), SUVmax (p = 0.04), SUVmean (p = 0.03), and MTV (<0.01) significantly compromised CB. A considerable majority of patients survived throughout this period (92.8%), while five women died (7.2%). In fact, the OS was 31.7 ± 14.2 months and PFS was 30.2 ± 14.1 months. A multivariate prediction model for CB with excellent accuracy could be developed using age, body mass index (BMI), T, M, PT TLG, and PT volume as predictive parameters. PT volume and PT TLG demonstrated a significant influence on CB in lower ranges; however, beyond a specific cutoff value (respectively, 29.52 cm3 for PT volume and 161.95 cm3 for PT TLG), their impact on CB only reached negligible levels. Ultimately, the absence of distant metastasis M displayed a strong positive impact on CB far ahead of the tumor size T (standardized average estimate 0.88 vs. 0.4). Conclusions: Our results emphasized the pivotal role played by FDG-PET/CT prior to treatment in forecasting treatment outcomes in women newly diagnosed with breast cancer. Nevertheless, careful consideration is required when selecting the methodological approach, as our innovative statistical techniques unveiled non-linear influences of predictive biomarkers on treatment benefit, highlighting also the importance of early breast cancer diagnosis.
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Affiliation(s)
- Ken Kudura
- Department of Nuclear Medicine, Sankt Clara Hospital, 4058 Basel, Switzerland
- Department of Radiology, Sankt Clara Hospital, 4058 Basel, Switzerland
- Sankt Clara Research, 4002 Basel, Switzerland
- Division of Nuclear Medicine, Department of Radiology and Nuclear Medicine, University Hospital Magdeburg, 39120 Magdeburg, Germany
| | - Nando Ritz
- Faculty of Medicine, University of Basel, 4001 Basel, Switzerland
| | - Arnoud J. Templeton
- Sankt Clara Research, 4002 Basel, Switzerland
- Faculty of Medicine, University of Basel, 4001 Basel, Switzerland
| | - Tim Kutzker
- Faculty of Applied Statistics, Humboldt University, 10117 Berlin, Germany
| | - Martin H. K. Hoffmann
- Department of Nuclear Medicine, Sankt Clara Hospital, 4058 Basel, Switzerland
- Department of Radiology, Sankt Clara Hospital, 4058 Basel, Switzerland
| | - Kwadwo Antwi
- Department of Nuclear Medicine, Sankt Clara Hospital, 4058 Basel, Switzerland
- Department of Radiology, Sankt Clara Hospital, 4058 Basel, Switzerland
| | - Daniel R. Zwahlen
- Department of Radiooncology, Cantonal Hospital Winterthur, 8400 Winterthur, Switzerland
| | - Michael C. Kreissl
- Division of Nuclear Medicine, Department of Radiology and Nuclear Medicine, University Hospital Magdeburg, 39120 Magdeburg, Germany
| | - Robert Foerster
- Department of Radiooncology, Cantonal Hospital Winterthur, 8400 Winterthur, Switzerland
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12
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Debes AM, Koenig A, Strobach D, Schinkoethe T, Forster M, Harbeck N, Wuerstlein R. Biologically Based Complementary and Alternative Medicine Use in Breast Cancer Patients and Possible Drug-Drug Interactions. Breast Care (Basel) 2023; 18:327-335. [PMID: 37901050 PMCID: PMC10601661 DOI: 10.1159/000531346] [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: 11/13/2022] [Accepted: 05/24/2023] [Indexed: 10/31/2023] Open
Abstract
Purpose Biologically based complementary and alternative medicine (BB-CAM) is gaining importance. Cancer patients in particular are at risk of interactions between the prescribed medications (intravenous or oral anticancer therapy, concomitant medication, medication for pre-existing illnesses) and BB-CAM. This investigation aims to identify potentially clinically relevant interactions between both BB-CAM and conventional medicine and two BB-CAM products in breast cancer patients (n = 47). Methods From March 2020 to January 2021, consecutive breast cancer patients (n = 47) completed a questionnaire about their medication and BB-CAM intake at the beginning of a new intravenous or oral tumor therapy (time point 1) and again after 10 to 12 weeks (time point 2) at the LMU Breast Center in Munich. The collective was divided into two subgroups based on the time after initial diagnosis; a cutoff of 6 months was used. The survey was available through an eHealth application called CANKADO as electronic patient-reported outcome only. Lexicomp® and AiD Klinik® databases were used for evaluating potentially clinically relevant interactions. As part of routine care, the collected data were evaluated and cross-checked in interdisciplinary cooperation with the University Hospital Pharmacy LMU. Results 43 of the 47 included breast cancer patients (91%) used BB-CAM at some point during their treatment period. We found a significant increase from time point 1 (n = 27) to time point 2 (n = 40) (p = 0.004). Moreover, in the subgroup of newly diagnosed patients, the number significant rose from 17 at time point 1 to 28 at time point 2 (p = 0.007). Overall, we found potentially clinically relevant interactions in 30 of 43 patients (70%). Sixty interactions were detected at both times of investigations. Twenty-three different kinds of BB-CAM-to-BB-CAM (time point 1 [n = 12], time point 2 [n = 11]) or conventional medicine-to-BB-CAM interactions (time point 1 [n = 15], time point 2 [n = 22]) were discovered. Importantly, there was not a single interaction between BB-CAM and an anticancer drug. Conclusion Breast cancer patients frequently use BB-CAM. Interactions were detected at both time points of investigation (time point 1 [n = 27], time point 2 [n = 33]). Interactions were particularly evident between BB-CAM substances as well as between BB-CAM and the patients' medication for pre-existing illnesses. Although no interaction between BB-CAM and an anticancer therapy was found, the use of BB-CAM should be evaluated at the beginning and regularly during therapy in view of the substantial number of interactions detected and the large number of upcoming targeted therapies.
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Affiliation(s)
- Anna Marie Debes
- Breast Center, Department of Gynecology and Obstetrics CCC Munich, LMU University Hospital, Munich, Germany
| | - Alexander Koenig
- Breast Center, Department of Gynecology and Obstetrics CCC Munich, LMU University Hospital, Munich, Germany
| | - Dorothea Strobach
- Hospital Pharmacy and Doctoral Program Clinical Pharmacy, University Hospital Munich, Munich, Germany
| | - Timo Schinkoethe
- Breast Center, Department of Gynecology and Obstetrics CCC Munich, LMU University Hospital, Munich, Germany
- CANKADO Service GmbH, Cologne, Germany
| | - Marie Forster
- Breast Center, Department of Gynecology and Obstetrics CCC Munich, LMU University Hospital, Munich, Germany
| | - Nadia Harbeck
- Breast Center, Department of Gynecology and Obstetrics CCC Munich, LMU University Hospital, Munich, Germany
| | - Rachel Wuerstlein
- Breast Center, Department of Gynecology and Obstetrics CCC Munich, LMU University Hospital, Munich, Germany
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13
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Möhl A, Behrens S, Flaßkamp F, Obi N, Kreienbrinck A, Holleczek B, Gali K, Chang-Claude J, Becher H. The impact of cardiovascular disease on all-cause and cancer mortality: results from a 16-year follow-up of a German breast cancer case-control study. Breast Cancer Res 2023; 25:89. [PMID: 37501086 PMCID: PMC10373242 DOI: 10.1186/s13058-023-01680-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 06/25/2023] [Indexed: 07/29/2023] Open
Abstract
BACKGROUND Cardiovascular disease (CVD) is the leading cause of death worldwide. The aim of this study was to examine if CVD affects the mortality of women after a breast cancer diagnosis and population controls differently. METHODS The analysis included a total of 3,555 women, diagnosed with primary stage 1-3 breast cancer or in situ carcinoma between 2002 and 2005 and 7,334 controls breast cancer-free at recruitment, all aged 50-74 years, who were followed-up in a German breast cancer case-control study until June, 30 2020. Kaplan-Meier and cumulative incidence function were calculated for all-cause mortality and mortality from any cancer, stratified for case-control status and CVD, separately for women aged < 65 and ≥ 65 years. Cox regression and Fine-Gray subdistribution hazard models were used to estimate hazard ratios (HR) and 95% confidence intervals (95% CI) for the association between case-control-status, CVD and mortality from all causes/any cancer. RESULTS The median follow-up was 16.1 years. In total, 1,172 cases (33.0%) and 1,401 initial controls (19.1%) died. CVD prevalence at recruitment was 15.2% in cases and controls. Cases with CVD had the highest and controls without CVD the lowest mortality during the entire observation period in both age groups (< 65 and ≥ 65 years). CVD was identified as a risk factor for all-cause mortality in both cases and controls aged < 65 years (HR 1.22, 95%CI 0.96-1.55 and HR 1.79, 95%CI 1.43-2.24) as well as at ages of ≥ 65 years (HR 1.44, 95%CI 1.20-1.73 and HR 1.59, 95%CI 1.37-1.83). A significant association of CVD and cancer mortality was found only for cases aged ≥ 65 years. CONCLUSION CVD was significantly associated with all-cause mortality of both cases and controls and CVD was identified as a risk factor for cancer mortality of cases aged ≥ 65 years at recruitment. Therefore, attention should be paid on monitoring and preventing CVD in breast cancer patients, especially in those diagnosed at older ages.
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Affiliation(s)
- Annika Möhl
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
| | - Sabine Behrens
- Division of Cancer Epidemiology, German Cancer Research Centre, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
| | - Fabian Flaßkamp
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Nadia Obi
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Annika Kreienbrinck
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Bernd Holleczek
- Saarland Cancer Registry, Neugeländstraße 9, 66117, Saarbrücken, Germany
| | - Kathleen Gali
- Hamburg Center for Health Economics, University of Hamburg, Esplanade 36, 20354, Hamburg, Germany
- Cancer Epidemiology Group, University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Centre, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
- Cancer Epidemiology Group, University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Heiko Becher
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
- Institute of Global Health, University Hospital Heidelberg, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany
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14
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Tan H, Fu D. Influence of advanced age on the prognosis of triple-negative breast cancer patients: A surveillance, epidemiology, and end results-based study. J Cancer Res Ther 2023; 19:S0. [PMID: 37147967 DOI: 10.4103/jcrt.jcrt_90_21] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Introduction Age at diagnosis has shown significant effect on the prognosis in breast cancer patients. However, whether age is an independent risk factor remains controversial. Furthermore, population-based estimates of age on the prognosis impact in triple-negative breast cancer are still lacking. The aim of this study was to analyze the influence of age and other factors on the prognosis and survival of triple-negative breast cancer patients. Materials and Methods We used the surveillance, epidemiology, and end results program data from 2011 to 2014. A retrospective cohort study was conducted to investigate prognosis factors in triple-negative breast cancer. Patients were divided into two groups according to age at diagnosis: 75 + years (the elderly patients) and < 75 years (reference group). The clinicopathologic characteristics of different age groups were compared using Chi-square tests. Overall survival (OS) and breast cancer-specific survival were analyzed using the Kaplan-Meier method. Prognostic factors were compared using the Cox proportional hazards model. We also analyzed the difference of distant metastasis at initial diagnosis on every group. Results A total of 21,429 triple-negative breast cancer patients were included in our study. The mean breast cancer-specific survival time of triple-negative breast cancer was 70.5 months for the reference group and 62.4 months for the elderly group. Survival analysis showed that the breast cancer-specific survival rate was 78.9% for the reference group and 67.4% for the elderly group. The mean OS time was 69.0 months for the reference group and 52.3 months for the elderly group. The 5-year OS of triple-negative breast cancer patients was 76.4% for the reference group and 51.3% for the elderly group. The prognosis of elderly patients is much poor than reference group. Univariate Cox regression analysis showed that age, race, marital status, histological grade, stage, T, N, M, surgery, radiotherapy, and chemotherapy were risk factors for triple-negative breast cancer (TNBC) (P < 0.05). Multivariate Cox regression analysis showed that age, race, marital status, histological grade, stage, T, N, M, surgery, radiotherapy, and chemotherapy were independent risk factors for TNBC (P < 0.05). Conclusions Age is an independent risk factor for the prognosis of TNBC patients. Elderly triple-negative breast cancer patients displayed obvious lower 5-year survival rate compared to reference group, even though they have better grade stage, minor tumor, less lymph node metastasis. The lower rate of marital status, radiotherapy, chemotherapy, surgery, and higher rate of metastasis at diagnosis must contribute to their poor outcome.
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Affiliation(s)
- Haosheng Tan
- Department of Thyroid and Breast Surgery, Yangzhou University Affiliated Northern Jiangsu People's Hospital, Yangzhou, China
| | - Deyuan Fu
- Department of Thyroid and Breast Surgery, Yangzhou University Affiliated Northern Jiangsu People's Hospital, Yangzhou, China
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Saha A, Burns L, Kulkarni AM. A scoping review of natural language processing of radiology reports in breast cancer. Front Oncol 2023; 13:1160167. [PMID: 37124523 PMCID: PMC10130381 DOI: 10.3389/fonc.2023.1160167] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 03/28/2023] [Indexed: 05/02/2023] Open
Abstract
Various natural language processing (NLP) algorithms have been applied in the literature to analyze radiology reports pertaining to the diagnosis and subsequent care of cancer patients. Applications of this technology include cohort selection for clinical trials, population of large-scale data registries, and quality improvement in radiology workflows including mammography screening. This scoping review is the first to examine such applications in the specific context of breast cancer. Out of 210 identified articles initially, 44 met our inclusion criteria for this review. Extracted data elements included both clinical and technical details of studies that developed or evaluated NLP algorithms applied to free-text radiology reports of breast cancer. Our review illustrates an emphasis on applications in diagnostic and screening processes over treatment or therapeutic applications and describes growth in deep learning and transfer learning approaches in recent years, although rule-based approaches continue to be useful. Furthermore, we observe increased efforts in code and software sharing but not with data sharing.
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Affiliation(s)
- Ashirbani Saha
- Department of Oncology, McMaster University, Hamilton, ON, Canada
- Hamilton Health Sciences and McMaster University, Escarpment Cancer Research Institute, Hamilton, ON, Canada
- *Correspondence: Ashirbani Saha,
| | - Levi Burns
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada
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Zahran AMH, Maarouf RA, Hussein A, Sheha AS. The role of diffusion-weighted MR imaging in discrimination between benign and malignant axillary lymph nodes in breast cancer patients. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2022. [DOI: 10.1186/s43055-022-00801-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Noninvasive preoperative evaluation of axillary lymph nodes proved to have a significant role not only on the protocol of treatment of breast cancer but also impact the whole life of the patient. Complications of lymph node biopsy or axillary clearance increase the need for noninvasive reliable diagnostic tool. We aimed in the current study to evaluate the role of diffusion-weighted magnetic resonance imaging (DW-MRI) and apparent diffusion coefficient (ADC) in discrimination between benign and malignant axillary lymph nodes. We included 44 suspicious lymph nodes from 29 patients. Qualitative DW-MRI was analyzed into restricted or not; ADC maps and cut-off value were calculated, and they were correlated with histopathological results, which were the gold standard tool of the current study.
Results
The cut-off value of ADC-differentiated between malignant and benign lymph nodes was 0.89 × 10−3 mm2/s. The statistical indices including the sensitivity, specificity, PPV, NPV and accuracy were 89.66%, 86.67%, 93.9, 81.2% and 87.8%, respectively, with P value < 0.001, while DW-MRI results were classified into restricted or not restricted with qualitative statistical indices of 96.6%, 80%, 90.3%, 92.3% and 90.9% for sensitivity, specificity, PPV, NPV and accuracy, respectively, with P value < 0.001.
Conclusion
DW-MRI and ADC both have significant role in discrimination between benign and malignant axillary lymph nodes increasing the accuracy of MRI examination in breast cancer patients.
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Van Poppel H, Battisti NML, Lawler M, Kolarova T, Daly J, Rizvi K, Greene R, Buyens G, Oliver K, Price R, Osmanovic N, Venegoni E. European Cancer Organisation's Inequalities Network: Putting Cancer Inequalities on the European Policy Map. JCO Glob Oncol 2022; 8:e2200233. [PMID: 36252165 PMCID: PMC9812450 DOI: 10.1200/go.22.00233] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Affiliation(s)
- Hendrik Van Poppel
- European Association of Urology, Arnhem, the Netherlands,Katholieke Universiteit Leuven, Leuven, Belgium
| | - Nicolò Matteo Luca Battisti
- International Society of Geriatric Oncology, Châtelaine, Switzerland,The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Mark Lawler
- Queens University Belfast, Belfast, Northern Ireland
| | | | | | | | - Robert Greene
- HungerNdThirst Foundation, Amsterdam, the Netherlands
| | | | - Kathy Oliver
- International Brain Tumour Alliance, Tadworth Surrey, UK
| | | | | | - Enea Venegoni
- European Cancer Organisation, Brussels, Belgium,Enea Venegoni, Rue de la Science 41, 1000, Brussels, B-1040, Belgium; e-mail:
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Li J, Chan NB, Xue J, Tsoi KKF. Time series models show comparable projection performance with joinpoint regression: A comparison using historical cancer data from World Health Organization. Front Public Health 2022; 10:1003162. [PMID: 36311591 PMCID: PMC9614249 DOI: 10.3389/fpubh.2022.1003162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 09/21/2022] [Indexed: 01/27/2023] Open
Abstract
Background Cancer is one of the major causes of death and the projection of cancer incidences is essential for future healthcare resources planning. Joinpoint regression and average annual percentage change (AAPC) are common approaches for cancer projection, while time series models, traditional ways of trend analysis in statistics, were considered less popular. This study aims to compare these projection methods on seven types of cancers in 31 geographical jurisdictions. Methods Using data from 66 cancer registries in the World Health Organization, projection models by joinpoint regression, AAPC, and autoregressive integrated moving average with exogenous variables (ARIMAX) were constructed based on 20 years of cancer incidences. The rest of the data upon 20-years of record were used to validate the primary outcomes, namely, 3, 5, and 10-year projections. Weighted averages of mean-square-errors and of percentage errors on predictions were used to quantify the accuracy of the projection results. Results Among 66 jurisdictions and seven selected cancers, ARIMAX gave the best 5 and 10-year projections for most of the scenarios. When the ten-year projection was concerned, ARIMAX resulted in a mean-square-error (or percentage error) of 2.7% (or 7.2%), compared with 3.3% (or 15.2%) by joinpoint regression and 7.8% (or 15.0%) by AAPC. All the three methods were unable to give reasonable projections for prostate cancer incidence in the US. Conclusion ARIMAX outperformed the joinpoint regression and AAPC approaches by showing promising accuracy and robustness in projecting cancer incidence rates. In the future, developments in projection models and better applications could promise to improve our ability to understand the trend of disease development, design the intervention strategies, and build proactive public health system.
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Affiliation(s)
- Jinhui Li
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Nicholas B. Chan
- SH Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Jiashu Xue
- SH Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Kelvin K. F. Tsoi
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China,SH Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China,*Correspondence: Kelvin K. F. Tsoi
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Hong R, Xu B. Breast cancer: an up-to-date review and future perspectives. Cancer Commun (Lond) 2022; 42:913-936. [PMID: 36074908 PMCID: PMC9558690 DOI: 10.1002/cac2.12358] [Citation(s) in RCA: 118] [Impact Index Per Article: 39.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 06/16/2022] [Accepted: 08/21/2022] [Indexed: 11/10/2022] Open
Abstract
Breast cancer is the most common cancer worldwide. The occurrence of breast cancer is associated with many risk factors, including genetic and hereditary predisposition. Breast cancers are highly heterogeneous. Treatment strategies for breast cancer vary by molecular features, including activation of human epidermal growth factor receptor 2 (HER2), hormonal receptors (estrogen receptor [ER] and progesterone receptor [PR]), gene mutations (e.g., mutations of breast cancer 1/2 [BRCA1/2] and phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha [PIK3CA]) and markers of the immune microenvironment (e.g., tumor-infiltrating lymphocyte [TIL] and programmed death-ligand 1 [PD-L1]). Early-stage breast cancer is considered curable, for which local-regional therapies (surgery and radiotherapy) are the cornerstone, with systemic therapy given before or after surgery when necessary. Preoperative or neoadjuvant therapy, including targeted drugs or immune checkpoint inhibitors, has become the standard of care for most early-stage HER2-positive and triple-negative breast cancer, followed by risk-adapted post-surgical strategies. For ER-positive early breast cancer, endocrine therapy for 5-10 years is essential. Advanced breast cancer with distant metastases is currently considered incurable. Systemic therapies in this setting include endocrine therapy with targeted agents, such as CDK4/6 inhibitors and phosphoinositide 3-kinase (PI3K) inhibitors for hormone receptor-positive disease, anti-HER2 targeted therapy for HER2-positive disease, poly(ADP-ribose) polymerase inhibitors for BRCA1/2 mutation carriers and immunotherapy currently for part of triple-negative disease. Innovation technologies of precision medicine may guide individualized treatment escalation or de-escalation in the future. In this review, we summarized the latest scientific information and discussed the future perspectives on breast cancer.
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Affiliation(s)
- Ruoxi Hong
- Department of Medical OncologySun Yat‐Sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangzhouGuangdong510060P. R. China
| | - Binghe Xu
- State Key Laboratory of Molecular Oncology and Department of Medical OncologyCancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100006P. R. China
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20
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Everatt R, Gudavičienė D. An analysis of time trends in breast and prostate cancer mortality rates in Lithuania, 1986-2020. BMC Public Health 2022; 22:1812. [PMID: 36151551 PMCID: PMC9508783 DOI: 10.1186/s12889-022-14207-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 09/12/2022] [Indexed: 11/21/2022] Open
Abstract
Background Breast cancer (BC) and prostate cancer (PC) mortality rates in Lithuania remain comparatively high despite the ongoing BC and PC screening programmes established in 2006. The aim of this study was to investigate time trends in BC and PC mortality rates in Lithuania evaluating the effects of age, calendar period of death, and birth-cohort over a 35-year time span. Methods We obtained death certification data for BC in women and PC in men for Lithuania during the period 1986–2020 from the World Health Organisation database. Age-standardised mortality rates were analysed using Joinpoint regression. Age-period-cohort models were used to assess the independent age, period and cohort effects on the observed mortality trends. Results Joinpoint regression analysis indicated that BC mortality increased by 1.6% annually until 1996, and decreased by − 1.2% annually thereafter. The age-period-cohort analysis suggests that temporal trends in BC mortality rates could be attributed mainly to cohort effects. The cohort effect curvature showed the risk of BC death increased in women born prior to 1921, remained stable in cohorts born around 1921–1951 then decreased; however, trend reversed in more recent generations. The period effect curvature displayed a continuous decrease in BC mortality since 1991–1995. For PC mortality, after a sharp increase by 3.0%, rates declined from 2007 by − 1.7% annually. The period effect was predominant in PC mortality, the curvature displaying a sharp increase until 2001–2005, then decrease. Conclusions Modestly declining recent trends in BC and PC mortality are consistent with the introduction of widespread mammography and PSA testing, respectively, lagging up to 10 years. The study did not show that screening programme introduction played a key role in BC mortality trends in Lithuania. Screening may have contributed to favourable recent changes in PC mortality rates in Lithuania, however the effect was moderate and limited to age groups < 65 years. Further improvements in early detection methods followed by timely appropriate treatment are essential for decreasing mortality from BC and PC. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-14207-4.
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Affiliation(s)
- Rūta Everatt
- Laboratory of Cancer Epidemiology, National Cancer Institute, Baublio 3B, LT-08406, Vilnius, Lithuania.
| | - Daiva Gudavičienė
- Department of Plastic and Reconstructive Surgery, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania.,Breast Surgery and Oncology Department, National Cancer Institute, Vilnius, Lithuania
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21
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Ge S, Yixing Y, Jia D, Ling Y. Application of mammography-based radiomics signature for preoperative prediction of triple-negative breast cancer. BMC Med Imaging 2022; 22:166. [PMID: 36104679 PMCID: PMC9472401 DOI: 10.1186/s12880-022-00875-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 08/08/2022] [Indexed: 11/25/2022] Open
Abstract
Objective This study is aimed to explore the value of mammography-based radiomics signature for preoperative prediction of triple-negative breast cancer (TNBC). Materials and methods Initially, the clinical and X-ray data of patients (n = 319, age of 54 ± 14) with breast cancer (triple-negative—65, non-triple-negative—254) from the First Affiliated Hospital of Soochow University (n = 211, as a training set) and Suzhou Municipal Hospital (n = 108, as a verification set) from January 2018 to February 2021 are retrospectively analyzed. Comparing the mediolateral oblique (MLO) and cranial cauda (CC) mammography images, the mammography images with larger lesion areas are selected, and the image segmentation and radiomics feature extraction are then performed by the MaZda software. Further, the Fisher coefficients (Fisher), classification error probability combined average correlation coefficients (POE + ACC), and mutual information (MI) are used to select three sets of feature subsets. Moreover, the score of each patient’s radiomics signature (Radscore) is calculated. Finally, the receiver operating characteristic curve (ROC) is analyzed to calculate the AUC, accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of TNBC. Results A significant difference in the mammography manifestation between the triple-negative and the non-triple-negative groups (P < 0.001) is observed. The (POE + ACC)-NDA method showed the highest accuracy of 88.39%. The Radscore of triple-negative and non-triple-negative groups in the training set includes − 0.678 (− 1.292, 0.088) and − 2.536 (− 3.496, − 1.324), respectively, with a statistically significant difference (Z = − 6.314, P < 0.001). In contrast, the Radscore in the validation set includes − 0.750 (− 1.332, − 0.054) and − 2.223 (− 2.963, − 1.256), with a statistically significant difference (Z = − 4.669, P < 0.001). In the training set, the AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of TNBC include 0.821 (95% confidence interval 0.752–0.890), 74.4%, 82.5%, 72.5%, 41.2%, and 94.6%, respectively. In the validation set, the AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of TNBC are of 0.809 (95% confidence interval 0.711–0.907), 80.6%, 72.0%, 80.7%, 55.5%, and 93.1%, respectively. Conclusion In summary, we firmly believe that this mammography-based radiomics signature could be useful in the preoperative prediction of TNBC due to its high value.
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22
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Musheyev D, Alayev A. Endocrine therapy resistance: what we know and future directions. EXPLORATION OF TARGETED ANTI-TUMOR THERAPY 2022; 3:480-496. [PMID: 36071983 PMCID: PMC9446423 DOI: 10.37349/etat.2022.00096] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 05/24/2022] [Indexed: 11/19/2022] Open
Abstract
Endocrine resistance is a major hurdle in the treatment of estrogen receptor (ER)-positive breast cancer. When abnormally regulated, molecular signals responsible for cellular proliferation, as well as ER itself, allow for cellular evasion of ER-dependent treatments. Therefore, pharmacological treatments that target these evasion mechanisms are beneficial for the treatment of endocrine-resistant breast cancers. This review summarizes currently understood molecular signals that contribute to endocrine resistance and their crosstalk that stem from mitogen-activated protein kinase (MAPK), phosphoinositol-3 kinase/protein kinase B (PI3K/AKT), mechanistic target of rapamycin (mTOR), cyclin-dependent kinases 4 and 6 (CDK4/6) and aberrant ER function. Recent clinical trials that target these molecular signals as a treatment strategy for endocrine-resistant breast cancer are also highlighted.
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Affiliation(s)
- David Musheyev
- Alayev Lab, Stern College for Women, Biology Department, Yeshiva University, New York, NY 10174, USA
| | - Anya Alayev
- Alayev Lab, Stern College for Women, Biology Department, Yeshiva University, New York, NY 10174, USA
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23
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Christiansen SR, Autier P, Støvring H. Change in effectiveness of mammography screening with decreasing breast cancer mortality: a population-based study. Eur J Public Health 2022; 32:630-635. [PMID: 35732293 PMCID: PMC9341840 DOI: 10.1093/eurpub/ckac047] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Reductions in breast cancer mortality observed over the last three decades are partly due to improved patient management, which may erode the benefit-harm balance of mammography screening. METHODS We estimated the numbers of women needed to invite (NNI) to prevent one breast cancer death within 10 years. Four scenarios of screening effectiveness (5-20% mortality reduction) were applied on 10,580 breast cancer deaths among Norwegian women aged 50-75 years from 1986 to 2016. We used three scenarios of overdiagnosis (10-40% excess breast cancers during screening period) for estimating ratios of numbers of overdiagnosed breast cancers for each breast cancer death prevented. RESULTS Under the base case scenario of 20% breast cancer mortality reduction and 20% overdiagnosis, the NNI rose from 731 (95% CI: 644-830) women in 1996 to 1364 (95% CI: 1181-1577) women in 2016, while the number of women with overdiagnosed cancer for each breast cancer death prevented rose from 3.2 in 1996 to 5.4 in 2016. For a mortality reduction of 8.7%, the ratio of overdiagnosed breast cancers per breast cancer death prevented rose from 7.4 in 1996 to 14.0 in 2016. For a mortality reduction of 5%, the ratio rose from 12.8 in 1996 to 25.2 in 2016. CONCLUSIONS Due to increasingly potent therapeutic modalities, the benefit in terms of reduced breast cancer mortality declines while the harms, including overdiagnosis, are unaffected. Future improvements in breast cancer patient management will further deteriorate the benefit-harm ratio of screening.
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Affiliation(s)
| | - Philippe Autier
- Institute of Global Public Health, University of Strathclyde at the International Prevention Research Institute, Lyon 69570, France
| | - Henrik Støvring
- Department of Public Health, Aarhus University, 8000 Aarhus C, Denmark
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24
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Mohammadi A, Najafi S, Amini M, Mansoori B, Baghbanzadeh A, Hoheisel JD, Baradaran B. The potential of B7-H6 as a therapeutic target in cancer immunotherapy. Life Sci 2022; 304:120709. [PMID: 35697295 DOI: 10.1016/j.lfs.2022.120709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 05/21/2022] [Accepted: 06/08/2022] [Indexed: 12/09/2022]
Abstract
Immune checkpoints are vital molecules that regulate T-cell function by activation or inhibition. Among the immune checkpoint molecules, the B7-family proteins are significantly involved in the immune escape of tumor cells. By binding to inhibitory receptors, they can suppress T-cell-mediated immunity. B7-family proteins are found at various stages of tumor microenvironment formation and promote tumorigenesis and tumor progression. B7-H6 (encoded by gene NCR3LG1) is a prominent member of the family. It has unique immunogenic properties and is involved in natural killer (NK) cell immunosurveillance by binding to the NKp30 receptor. High B7-H6 expression in certain tumor types and shortage of or low expression in healthy cells - except in cases of inflammatory or microbial stimulation - have made the protein an attractive target of research activities in recent years. The avoidance of NK-mediated B7-H6 detection is a mechanism through which tumor cells escape immune surveillance. The stimulation of tumorigenesis occurs by suppressing caspase cascade initiation and anti-apoptosis activity stimulation via the STAT3 pathway. The B7-H6-NKp30 complex on the tumor membrane activates the NK cells and releases both tumor necrosis factor alpha (TNF-α) and interferon gamma (IFN-γ). B7-H6 is highly expressed in a wide range of tumor cells, including glioma, hematologic malignant tumors, and breast cancer cells. Clinical examination of cancer patients indicated that the expression of B7-H6 is related to distant metastasis status and permits postoperative prognosis. Because of its unique properties, B7-H6 has a high potential be utilized as a biological marker for cancer diagnosis and prognosis, as well as a target for novel treatment options.
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Affiliation(s)
- Alaleh Mohammadi
- Department of Pathobiology, Faculty of Veterinary Medicine, University of Tabriz, Tabriz, Iran; Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Souzan Najafi
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mohammad Amini
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Behzad Mansoori
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Amir Baghbanzadeh
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Jörg D Hoheisel
- Division of Functional Genome Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Behzad Baradaran
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Department of Immunology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
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25
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Wyld L, Reed MWR, Collins K, Ward S, Holmes G, Morgan J, Bradburn M, Walters S, Burton M, Lifford K, Edwards A, Brain K, Ring A, Herbert E, Robinson TG, Martin C, Chater T, Pemberton K, Shrestha A, Nettleship A, Richards P, Brennan A, Cheung KL, Todd A, Harder H, Audisio R, Battisti NML, Wright J, Simcock R, Murray C, Thompson AM, Gosney M, Hatton M, Armitage F, Patnick J, Green T, Revill D, Gath J, Horgan K, Holcombe C, Winter M, Naik J, Parmeshwar R. Improving outcomes for women aged 70 years or above with early breast cancer: research programme including a cluster RCT. PROGRAMME GRANTS FOR APPLIED RESEARCH 2022. [DOI: 10.3310/xzoe2552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background
In breast cancer management, age-related practice variation is widespread, with older women having lower rates of surgery and chemotherapy than younger women, based on the premise of reduced treatment tolerance and benefit. This may contribute to inferior outcomes. There are currently no age- and fitness-stratified guidelines on which to base treatment recommendations.
Aim
We aimed to optimise treatment choice and outcomes for older women (aged ≥ 70 years) with operable breast cancer.
Objectives
Our objectives were to (1) determine the age, comorbidity, frailty, disease stage and biology thresholds for endocrine therapy alone versus surgery plus adjuvant endocrine therapy, or adjuvant chemotherapy versus no chemotherapy, for older women with breast cancer; (2) optimise survival outcomes for older women by improving the quality of treatment decision-making; (3) develop and evaluate a decision support intervention to enhance shared decision-making; and (4) determine the degree and causes of treatment variation between UK breast units.
Design
A prospective cohort study was used to determine age and fitness thresholds for treatment allocation. Mixed-methods research was used to determine the information needs of older women to develop a decision support intervention. A cluster-randomised trial was used to evaluate the impact of this decision support intervention on treatment choices and outcomes. Health economic analysis was used to evaluate the cost–benefit ratio of different treatment strategies according to age and fitness criteria. A mixed-methods study was used to determine the degree and causes of variation in treatment allocation.
Main outcome measures
The main outcome measures were enhanced age- and fitness-specific decision support leading to improved quality-of-life outcomes in older women (aged ≥ 70 years) with early breast cancer.
Results
(1) Cohort study: the study recruited 3416 UK women aged ≥ 70 years (median age 77 years). Follow-up was 52 months. (a) The surgery plus adjuvant endocrine therapy versus endocrine therapy alone comparison: 2854 out of 3416 (88%) women had oestrogen-receptor-positive breast cancer, 2354 of whom received surgery plus adjuvant endocrine therapy and 500 received endocrine therapy alone. Patients treated with endocrine therapy alone were older and frailer than patients treated with surgery plus adjuvant endocrine therapy. Unmatched overall survival and breast-cancer-specific survival were higher in the surgery plus adjuvant endocrine therapy group (overall survival: hazard ratio 0.27, 95% confidence interval 0.23 to 0.33; p < 0.001; breast-cancer-specific survival: hazard ratio 0.41, 95% confidence interval 0.29 to 0.58; p < 0.001) than in the endocrine therapy alone group. In matched analysis, surgery plus adjuvant endocrine therapy was still associated with better overall survival (hazard ratio 0.72, 95% confidence interval 0.53 to 0.98; p = 0.04) than endocrine therapy alone, but not with better breast-cancer-specific survival (hazard ratio 0.74, 95% confidence interval 0.40 to 1.37; p = 0.34) or progression-free-survival (hazard ratio 1.11, 95% confidence interval 0.55 to 2.26; p = 0.78). (b) The adjuvant chemotherapy versus no chemotherapy comparison: 2811 out of 3416 (82%) women received surgery plus adjuvant endocrine therapy, of whom 1520 (54%) had high-recurrence-risk breast cancer [grade 3, node positive, oestrogen receptor negative or human epidermal growth factor receptor-2 positive, or a high Oncotype DX® (Genomic Health, Inc., Redwood City, CA, USA) score of > 25]. In this high-risk population, there were no differences according to adjuvant chemotherapy use in overall survival or breast-cancer-specific survival after propensity matching. Adjuvant chemotherapy was associated with a lower risk of metastatic recurrence than no chemotherapy in the unmatched (adjusted hazard ratio 0.36, 95% confidence interval 0.19 to 0.68; p = 0.002) and propensity-matched patients (adjusted hazard ratio 0.43, 95% confidence interval 0.20 to 0.92; p = 0.03). Adjuvant chemotherapy improved the overall survival and breast-cancer-specific survival of patients with oestrogen-receptor-negative disease. (2) Mixed-methods research to develop a decision support intervention: an iterative process was used to develop two decision support interventions (each comprising a brief decision aid, a booklet and an online tool) specifically for older women facing treatment choices (endocrine therapy alone or surgery plus adjuvant endocrine therapy, and adjuvant chemotherapy or no chemotherapy) using several evidence sources (expert opinion, literature and patient interviews). The online tool was based on models developed using registry data from 23,842 patients and validated on an external data set of 14,526 patients. Mortality rates at 2 and 5 years differed by < 1% between predicted and observed values. (3) Cluster-randomised clinical trial of decision support tools: 46 UK breast units were randomised (intervention, n = 21; usual care, n = 25), recruiting 1339 women (intervention, n = 670; usual care, n = 669). There was no significant difference in global quality of life at 6 months post baseline (difference –0.20, 95% confidence interval –2.7 to 2.3; p = 0.90). In women offered a choice of endocrine therapy alone or surgery plus adjuvant endocrine therapy, knowledge about treatments was greater in the intervention arm than the usual care arm (94% vs. 74%; p = 0.003). Treatment choice was altered, with higher rates of endocrine therapy alone than of surgery in the intervention arm. Similarly, chemotherapy rates were lower in the intervention arm (endocrine therapy alone rate: intervention sites 21% vs. usual-care sites 15%, difference 5.5%, 95% confidence interval 1.1% to 10.0%; p = 0.02; adjuvant chemotherapy rate: intervention sites 10% vs. usual-care site 15%, difference 4.5%, 95% confidence interval 0.0% to 8.0%; p = 0.013). Survival was similar in both arms. (4) Health economic analysis: a probabilistic economic model was developed using registry and cohort study data. For most health and fitness strata, surgery plus adjuvant endocrine therapy had lower costs and returned more quality-adjusted life-years than endocrine therapy alone. However, for some women aged > 90 years, surgery plus adjuvant endocrine therapy was no longer cost-effective and generated fewer quality-adjusted life-years than endocrine therapy alone. The incremental benefit of surgery plus adjuvant endocrine therapy reduced with age and comorbidities. (5) Variation in practice: analysis of rates of surgery plus adjuvant endocrine therapy or endocrine therapy alone between the 56 breast units in the cohort study demonstrated significant variation in rates of endocrine therapy alone that persisted after adjustment for age, fitness and stage. Clinician preference was an important determinant of treatment choice.
Conclusions
This study demonstrates that, for older women with oestrogen-receptor-positive breast cancer, there is a cohort of women with a life expectancy of < 4 years for whom surgery plus adjuvant endocrine therapy may offer little benefit and simply have a negative impact on quality of life. The Age Gap decision tool may help make this shared decision. Similarly, although adjuvant chemotherapy offers little benefit and has a negative impact on quality of life for the majority of older women with oestrogen-receptor-positive breast cancer, for women with oestrogen-receptor-negative breast cancer, adjuvant chemotherapy is beneficial. The negative impacts of adjuvant chemotherapy on quality of life, although significant, are transient. This implies that, for the majority of fitter women aged ≥ 70 years, standard care should be offered.
Limitations
As with any observational study, despite detailed propensity score matching, residual bias cannot be excluded. Follow-up was at median 52 months for the cohort analysis. Longer-term follow-up will be required to validate these findings owing to the slow time course of oestrogen-receptor-positive breast cancer.
Future work
The online algorithm is now available (URL: https://agegap.shef.ac.uk/; accessed May 2022). There are plans to validate the tool and incorprate quality-of-life and 10-year survival outcomes.
Trial registration
This trial is registered as ISRCTN46099296.
Funding
This project was funded by the National Institute for Health and Care Research (NIHR) Programme Grants for Applied Research programme and will be published in full in Programme Grants for Applied Research; Vol. 10, No. 6. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Lynda Wyld
- Department of Oncology and Metabolism, University of Sheffield Medical School, Sheffield, UK
- Jasmine Breast Centre, Doncaster and Bassetlaw Teaching Hospitals NHS Foundation Trust, Doncaster, UK
| | | | - Karen Collins
- Faculty of Health and Wellbeing, Department of Allied Health Professions, Collegiate Cresent Campus, Sheffield Hallam University, Sheffield, UK
| | - Sue Ward
- Department of Health and Social Care Economics and Decision Science, School for Health and Related Research, University of Sheffield, Sheffield, UK
| | - Geoff Holmes
- Department of Health and Social Care Economics and Decision Science, School for Health and Related Research, University of Sheffield, Sheffield, UK
| | - Jenna Morgan
- Department of Oncology and Metabolism, University of Sheffield Medical School, Sheffield, UK
- Jasmine Breast Centre, Doncaster and Bassetlaw Teaching Hospitals NHS Foundation Trust, Doncaster, UK
| | - Mike Bradburn
- Clinical Trials Research Unit, School for Health and Related Research, University of Sheffield, Sheffield, UK
| | - Stephen Walters
- Clinical Trials Research Unit, School for Health and Related Research, University of Sheffield, Sheffield, UK
| | - Maria Burton
- Faculty of Health and Wellbeing, Department of Allied Health Professions, Collegiate Cresent Campus, Sheffield Hallam University, Sheffield, UK
| | - Kate Lifford
- Division of Population Medicine, School of Medicine, Cardiff University, Cardiff, UK
| | - Adrian Edwards
- Division of Population Medicine, School of Medicine, Cardiff University, Cardiff, UK
| | - Kate Brain
- Division of Population Medicine, School of Medicine, Cardiff University, Cardiff, UK
| | | | - Esther Herbert
- Clinical Trials Research Unit, School for Health and Related Research, University of Sheffield, Sheffield, UK
| | - Thompson G Robinson
- Department of Cardiovascular Sciences, University of Leicester, Cardiovascular Research Centre, Glenfield General Hospital, Leicester, UK
| | - Charlene Martin
- Department of Oncology and Metabolism, University of Sheffield Medical School, Sheffield, UK
- Jasmine Breast Centre, Doncaster and Bassetlaw Teaching Hospitals NHS Foundation Trust, Doncaster, UK
| | - Tim Chater
- Clinical Trials Research Unit, School for Health and Related Research, University of Sheffield, Sheffield, UK
| | - Kirsty Pemberton
- Clinical Trials Research Unit, School for Health and Related Research, University of Sheffield, Sheffield, UK
| | - Anne Shrestha
- Department of Oncology and Metabolism, University of Sheffield Medical School, Sheffield, UK
- Jasmine Breast Centre, Doncaster and Bassetlaw Teaching Hospitals NHS Foundation Trust, Doncaster, UK
| | | | - Paul Richards
- Department of Health and Social Care Economics and Decision Science, School for Health and Related Research, University of Sheffield, Sheffield, UK
| | - Alan Brennan
- Department of Health and Social Care Economics and Decision Science, School for Health and Related Research, University of Sheffield, Sheffield, UK
| | | | - Annaliza Todd
- Department of Oncology and Metabolism, University of Sheffield Medical School, Sheffield, UK
- Jasmine Breast Centre, Doncaster and Bassetlaw Teaching Hospitals NHS Foundation Trust, Doncaster, UK
| | | | - Riccardo Audisio
- Sahlgrenska Universitetssjukhuset, University of Gothenburg, Göteborg, Sweden
| | | | | | | | | | | | - Margot Gosney
- School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
| | | | | | - Julietta Patnick
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Tracy Green
- Yorkshire and Humber Research Network Consumer Research Panel, Sheffield, UK
| | - Deirdre Revill
- Yorkshire and Humber Research Network Consumer Research Panel, Sheffield, UK
| | - Jacqui Gath
- Yorkshire and Humber Research Network Consumer Research Panel, Sheffield, UK
| | | | - Chris Holcombe
- Royal Liverpool and Broadgreen University Hospitals NHS Trust, Liverpool, UK
| | - Matt Winter
- Breast Unit, Weston Park Hospital, Sheffield, UK
| | - Jay Naik
- Breast Unit, Pinderfields Hospital, Mid Yorkshire Hospitals NHS Trust, Wakefield, UK
| | - Rishi Parmeshwar
- Breast Unit, Royal Lancaster Infirmary, University Hospitals of Morecambe Bay NHS Foundation Trust, Lancaster, UK
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Hoxha I, Islami DA, Uwizeye G, Forbes V, Chamberlin MD. Forty-Five Years of Research and Progress in Breast Cancer: Progress for Some, Disparities for Most. JCO Glob Oncol 2022; 8:e2100424. [PMID: 35377728 PMCID: PMC9005254 DOI: 10.1200/go.21.00424] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- Ilir Hoxha
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH
| | | | - Glorieuse Uwizeye
- Society of Fellows, Department of Anthropology, Dartmouth College, Hanover, NH.,Present affiliation: Arthur Labatt Family School of Nursing, Western University, London, Ontario, Canada
| | | | - Mary D Chamberlin
- Department of Hematology-Oncology, Geisel School of Medicine at Dartmouth, Hanover, NH
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27
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Santucci C, Patel L, Malvezzi M, Wojtyla C, La Vecchia C, Negri E, Bertuccio P. Persisting cancer mortality gap between western and eastern Europe. Eur J Cancer 2022; 165:1-12. [DOI: 10.1016/j.ejca.2022.01.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 12/20/2021] [Accepted: 01/03/2022] [Indexed: 01/16/2023]
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28
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Lei S, Zheng R, Zhang S, Wang S, Chen R, Sun K, Zeng H, Zhou J, Wei W. Global patterns of breast cancer incidence and mortality: A population-based cancer registry data analysis from 2000 to 2020. Cancer Commun (Lond) 2021; 41:1183-1194. [PMID: 34399040 PMCID: PMC8626596 DOI: 10.1002/cac2.12207] [Citation(s) in RCA: 472] [Impact Index Per Article: 118.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 07/22/2021] [Accepted: 08/03/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Breast cancer is the most commonly diagnosed cancer and leading cause of cancer death among women worldwide but has patterns and trends which vary in different countries. This study aimed to evaluate the global patterns of breast cancer incidence and mortality and analyze its temporal trends for breast cancer prevention and control. METHODS Breast cancer incidence and mortality data in 2020 were obtained from the GLOBOCAN online database. Continued data from the Cancer Incidence in Five Continents Time Trends, the International Agency for Research on cancer mortality and China National Central Cancer Registry were used to analyze the time trends from 2000 to 2015 through Joinpoint regression, and annual average percent changes of breast cancer incidence and mortality were calculated. Association between Human Development Index and breast cancer incidence and mortality were estimated by linear regression. RESULTS There were approximately 2.3 million new breast cancer cases and 685,000 breast cancer deaths worldwide in 2020. Its incidence and mortality varied among countries, with the age-standardized incidence ranging from the highest of 112.3 per 100,000 population in Belgium to the lowest of 35.8 per 100,000 population in Iran, and the age-standardized mortality from the highest of 41.0 per 100,000 population in Fiji to the lowest of 6.4 per 100,000 population in South Korea. The peak age of breast cancer in some Asian and African countries were over 10 years earlier than in European or American countries. As for the trends of breast cancer, the age-standardized incidence rates significantly increased in China and South Korea but decreased in the United States of America (USA) during 2000-2012. Meanwhile, the age-standardized mortality rates significantly increased in China and South Korea but decreased in the United Kingdom, the USA, and Australia during 2000 and 2015. CONCLUSIONS The global burden of breast cancer is rising fast and varies greatly among countries. The incidence and mortality rates of breast cancer increased rapidly in China and South Korea but decreased in the USA. Increased health awareness, effective prevention strategies, and improved access to medical treatment are extremely important to curb the snowballing breast cancer burden, especially in the most affected countries.
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Affiliation(s)
- Shaoyuan Lei
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100021P. R. China
| | - Rongshou Zheng
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100021P. R. China
| | - Siwei Zhang
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100021P. R. China
| | - Shaoming Wang
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100021P. R. China
| | - Ru Chen
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100021P. R. China
| | - Kexin Sun
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100021P. R. China
| | - Hongmei Zeng
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100021P. R. China
| | - Jiachen Zhou
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100021P. R. China
- Department of Epidemiology and BiostatisticsSchool of Public HealthXi'an Jiaotong University Health Science CenterXi'anShaanxi710061P. R. China
| | - Wenqiang Wei
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100021P. R. China
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Mühlberger N, Sroczynski G, Gogollari A, Jahn B, Pashayan N, Steyerberg E, Widschwendter M, Siebert U. Cost effectiveness of breast cancer screening and prevention: a systematic review with a focus on risk-adapted strategies. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2021; 22:1311-1344. [PMID: 34342797 DOI: 10.1007/s10198-021-01338-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 06/10/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVES Benefit and cost effectiveness of breast cancer screening are still matters of controversy. Risk-adapted strategies are proposed to improve its benefit-harm and cost-benefit relations. Our objective was to perform a systematic review on economic breast cancer models evaluating primary and secondary prevention strategies in the European health care setting, with specific focus on model results, model characteristics, and risk-adapted strategies. METHODS Literature databases were systematically searched for economic breast cancer models evaluating the cost effectiveness of breast cancer screening and prevention strategies in the European health care context. Characteristics, methodological details and results of the identified studies are reported in evidence tables. Economic model outputs are standardized to achieve comparable cost-effectiveness ratios. RESULTS Thirty-two economic evaluations of breast cancer screening and seven evaluations of primary breast cancer prevention were included. Five screening studies and none of the prevention studies considered risk-adapted strategies. Studies differed in methodologic features. Only about half of the screening studies modeled overdiagnosis-related harms, most often indirectly and without reporting their magnitude. All models predict gains in life expectancy and/or quality-adjusted life expectancy at acceptable costs. However, risk-adapted screening was shown to be more effective and efficient than conventional screening. CONCLUSIONS Economic models suggest that breast cancer screening and prevention are cost effective in the European setting. All screening models predict gains in life expectancy, which has not yet been confirmed by trials. European models evaluating risk-adapted screening strategies are rare, but suggest that risk-adapted screening is more effective and efficient than conventional screening.
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Affiliation(s)
- Nikolai Mühlberger
- Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum I, 6060, Hall i.T, Austria
| | - Gaby Sroczynski
- Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum I, 6060, Hall i.T, Austria
| | - Artemisa Gogollari
- Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum I, 6060, Hall i.T, Austria
| | - Beate Jahn
- Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum I, 6060, Hall i.T, Austria
| | - Nora Pashayan
- Institute of Epidemiology and Healthcare, Department of Applied Health Research, UCL-University College London, 1-19 Torrington Place, London, WC1E 7HB, UK
| | - Ewout Steyerberg
- Department of Public Health, Erasmus MC, PO Box 9600, 3000 CA, Rotterdam, The Netherlands
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Martin Widschwendter
- Department of Women's Cancer, EGA Institute for Women's Health, UCL - University College London, 74 Huntley St, Rm 340, London, WC1E 6AU, UK
| | - Uwe Siebert
- Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum I, 6060, Hall i.T, Austria.
- Division of Health Technology Assessment and Bioinformatics, ONCOTYROL - Center for Personalized Cancer Medicine, Innsbruck, Austria.
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Center for Health Decision Science, Boston, MA, USA.
- Harvard Medical School, Institute for Technology Assessment and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
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Oprean CM, Badau LM, Han RA, Hoinoiu T, Dragomir GM, Grujic D, Dragomir T, Dema A. The Pattern of Second Primary Tumours in Postmenopausal Women with Prior Breast Cancer in Western Romania: A Retrospective, Single-Institution Study. Diagnostics (Basel) 2021; 11:diagnostics11111957. [PMID: 34829304 PMCID: PMC8622918 DOI: 10.3390/diagnostics11111957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 09/27/2021] [Accepted: 10/13/2021] [Indexed: 12/02/2022] Open
Abstract
With improved survival, more patients with prior breast cancer are at risk of having a second primary cancer diagnosed. The pattern and impact of second primary cancers following breast cancer is important for overall breast cancer therapeutic management. Our study is a first analysis of the trend of second primary tumours over time in terms of incidence, sites with significantly elevated risks and correlation with stage, molecular subtype and therapeutic strategies conducted in Eastern Europe in postmenopausal women with breast cancer. Patients and methods: Our study population included 28 patients with prior breast cancer (BC) and second primary tumours, which were diagnosed and treated in our Institution between 2004 and 2017. The criteria for selection were based on the completeness of the documentation of the first treatment for breast cancer, stage of disease, molecular subtype, the site of origin of the second tumours and the survival data. Results: An increased risk of second primary cancer was associated with the 51–60 years age group (53.6%), with the greater prevalence in patients living in urban environments (82.1%). The use of chemotherapy increased the risk of the occurrence of gynecological second malignancies (75%). Our study is a first analysis of the trend of second primary tumours over time in terms of identifying sites with significantly elevated risks and correlation with therapeutic strategies conducted in Eastern Europe in postmenopausal women with breast cancer. Conclusions: Our study is a first analysis of the trend of second primary tumours over time in terms of correlation with luminal subtype and stage at diagnosis of primary cancer sites with significantly elevated risks and correlation with therapeutic strategies in postmenopausal women with breast cancer conducted in Eastern Europe. The reported time from primary to second primary malignancy onset, with a significantly higher rate for postmenopausal breast cancer patients, was less than one year (50%). With the advances and wider availability of genetic testing (e.g., gene panels), patients diagnosed with multiple primaries should be increasingly investigated for an underlying cancer predisposition. Postmenopausal women with breast cancer may benefit from increased surveillance and advice to avoid second malignancies.
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Affiliation(s)
- Cristina Marinela Oprean
- ANAPATMOL Research Center, ‘Victor Babes’ University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania; (C.M.O.); (A.D.)
- Department of Oncology—ONCOHELP Hospital Timisoara, Ciprian Porumbescu Street, No. 59, 300239 Timisoara, Romania; (L.M.B.); (R.-A.H.)
- Department of Oncology—ONCOMED Outpatient Unit Timisoara, Ciprian Porumbescu Street, No. 59, 300239 Timisoara, Romania
| | - Larisa Maria Badau
- Department of Oncology—ONCOHELP Hospital Timisoara, Ciprian Porumbescu Street, No. 59, 300239 Timisoara, Romania; (L.M.B.); (R.-A.H.)
- Hygiene Discipline, “Victor Babeş” University of Medicine and Pharmacy, Eftimie Murgu Square Nr.2, 300041 Timişoara, Romania
| | - Robert-Alexandru Han
- Department of Oncology—ONCOHELP Hospital Timisoara, Ciprian Porumbescu Street, No. 59, 300239 Timisoara, Romania; (L.M.B.); (R.-A.H.)
| | - Teodora Hoinoiu
- Department of Clinical Practical Skills, “Victor Babeş” University of Medicine and Pharmacy, Eftimie Murgu Square Nr.2, 300041 Timişoara, Romania
- Center for Advanced Research in Cardiovascular Pathology and Hemostaseology, “Victor Babeș” University of Medicine and Pharmacy, 300041 Timisoara, Romania
- Correspondence: ; Tel.: +40-0256-204-400
| | - Gabriel-Mugur Dragomir
- Department of Teaching Training—POLYTEHNICAL, University of Timisoara, 300223 Timisoara, Romania;
| | - Daciana Grujic
- Department of Plastic and Reconstructive Surgery, “Victor Babeş” University of Medicine and Pharmacy, Eftimie Murgu Square Nr.2, 300041 Timişoara, Romania;
| | - Tiberiu Dragomir
- Department V Internal Medicine, Discipline of Medical Semiology II, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square Nr.2, 300041 Timisoara, Romania;
| | - Alis Dema
- ANAPATMOL Research Center, ‘Victor Babes’ University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania; (C.M.O.); (A.D.)
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Nilsen M, Stalsberg R, Sand K, Haugan G, Reidunsdatter RJ. Meaning Making for Psychological Adjustment and Quality of Life in Older Long-Term Breast Cancer Survivors. Front Psychol 2021; 12:734198. [PMID: 34650491 PMCID: PMC8510631 DOI: 10.3389/fpsyg.2021.734198] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 09/02/2021] [Indexed: 01/10/2023] Open
Abstract
Objectives: This study aims to explore in depth the meaning and meaning discrepancies among older Norwegian breast cancer survivors in light of the meaning making model by Park (2013). Design: We utilized a qualitative design collecting data using semi-structured interviews of 23 elderly breast cancer survivors 7–8 years after treatment. The interviews followed an interview guide structured along three main themes: “everyday life activities,” “follow-up-care experiences” and “health status and QoL.” Results: Several health problems were reported by the women in the aftermaths of the disease, such as sleeping problems, pain, and fatigue—including cognitive and emotional impairments. Meaning discrepancies were concentrated on six main themes: shifting perspectives and priorities, growing sense of autonomy, widening the limits of normality, dissociating oneself from the disease, embracing alternative health services, and feeling lucky. The women engaged in a wide range of coping techniques as efforts to change global meaning, and to develop a more positive view on the cancer experience. Common coping efforts across the six main themes were social comparison, denial, positive reappraisal, problem-focused coping, and revaluing ordinary events. Conclusion: Many cancer patients report on unmet needs for help with their meaning making, and the facilitation of meaning making processes is rarely included in the follow-up care of cancer survivors. The findings of the present study may help health care professionals provide care for women who have experienced breast cancer. The concrete knowledge of common coping efforts in the meaning making process may contribute to the development of future interventions and for gaining a deeper understanding for older survivors of breast cancer.
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Affiliation(s)
- Marianne Nilsen
- Department of Social Work, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Ragna Stalsberg
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Kari Sand
- Department of Health Research, SINTEF Digital, Trondheim, Norway
| | - Gørill Haugan
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Randi Johansen Reidunsdatter
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
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Functional Proteomic Profiling of Triple-Negative Breast Cancer. Cells 2021; 10:cells10102768. [PMID: 34685748 PMCID: PMC8535076 DOI: 10.3390/cells10102768] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 09/08/2021] [Accepted: 09/26/2021] [Indexed: 01/13/2023] Open
Abstract
Triple-negative breast cancer (TNBC) is a subtype of breast cancer that comprises various disease entities, all of which share a set of common features: a lack of expression of the estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2, respectively. Because of their receptor status, conventional chemotherapy remains the main therapeutic option for TNBC patients. We employed a reverse phase protein array approach (RPPA), complemented by immunohistochemistry, to quantitatively profile the activation state of 84 actionable key signaling intermediates and phosphoproteins in a set of 44 TNBC samples. We performed supervised and unsupervised approaches to proteomic data analysis to identify groups of samples sharing common characteristics that could be amenable to existing therapies. We found the heterogenous activation of multiple pathways, with PI3 K/AKT/mTOR signaling being the most common event. Some specific individualized therapeutic possibilities include the expression of oncogenic KIT in association with cytokeratin 15 and Erk1/2 positive tumors, both of which may have clinical value.
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Ropers FG, Barratt A, Wilt TJ, Nicholls SG, Taylor-Phillips S, Kramer BS, Esserman LJ, Norris SL, Gibson LM, Harris RP, Carter SM, Jacklyn G, Jørgensen KJ. Health screening needs independent regular re-evaluation. BMJ 2021; 374:n2049. [PMID: 34580059 DOI: 10.1136/bmj.n2049] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Fabienne G Ropers
- Department of General Paediatrics, Willem Alexander Children's Hospital, Leiden University Medical Center, Leiden, Netherlands
| | - Alexandra Barratt
- Sydney School of Public Health, University of Sydney, Sydney, New South Wales
| | - Timothy J Wilt
- Minneapolis VA Center for Care Delivery and Outcomes Research and the University of Minnesota, Minneapolis, MN, USA
| | - Stuart G Nicholls
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | | | - Barnett S Kramer
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA
| | - Laura J Esserman
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | | | - Lorna M Gibson
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Russell P Harris
- School of Medicine, University of North Carolina at Chapel Hill, NC, USA
| | - Stacy M Carter
- Australian Centre for Health Engagement, Evidence and Values, University of Wollongong, Wollongong, NSW, Australia
| | - Gemma Jacklyn
- Sydney School of Public Health, University of Sydney, Sydney, New South Wales
| | - Karsten Juhl Jørgensen
- Centre for Evidence-Based Medicine Odense (CEBMO) and Cochrane Denmark, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
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Yokoe T, Kurozumi S, Nozawa K, Ozaki Y, Maeda T, Yazaki S, Onishi M, Fujimoto A, Nakayama S, Tsuboguchi Y, Iwasa T, Sakai H, Ogata M, Terada M, Nishimura M, Onoe T, Masuda J, Kurikawa M, Isaka H, Hagio K, Shimomura A, Okumura Y, Futamura M, Shimokawa M, Takano T. Clinical benefit of treatment after trastuzumab emtansine for HER2-positive metastatic breast cancer: a real-world multi-centre cohort study in Japan (WJOG12519B). Breast Cancer 2021; 28:581-591. [PMID: 33389616 PMCID: PMC8064974 DOI: 10.1007/s12282-020-01192-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 11/19/2020] [Indexed: 01/20/2023]
Abstract
BACKGROUND Trastuzumab emtansine (T-DM1) treatment for human epidermal growth factor receptor-2 (HER2)-positive metastatic breast cancer after taxane with trastuzumab and pertuzumab is standard therapy. However, treatment strategies beyond T-DM1 are still in development with insufficient evidence of their effectiveness. Here, we aimed to evaluate real-world treatment choice and efficacy of treatments after T-DM1 for HER2-positive metastatic breast cancer. METHODS In this multi-centre retrospective cohort study involving 17 hospitals, 325 female HER2-positive metastatic breast cancer patients whose post-T-DM1 treatment began between April 15, 2014 and December 31, 2018 were enrolled. The primary end point was the objective response rate (ORR) of post-T-DM1 treatments. Secondary end points included disease control rate (DCR), progression-free survival (PFS), time to treatment failure (TTF), and overall survival (OS). RESULTS The median number of prior treatments of post-T-DM1 treatment was four. The types of post-T-DM1 treatments included (1) chemotherapy in combination with trastuzumab and pertuzumab (n = 102; 31.4%), (2) chemotherapy concomitant with trastuzumab (n = 78; 24.0%), (3), lapatinib with capecitabine (n = 63; 19.4%), and (4) others (n = 82; 25.2%). ORR was 22.8% [95% confidence interval (CI): 18.1-28.0], DCR = 66.6% (95% CI 60.8-72.0), median PFS = 6.1 months (95% CI 5.3-6.7), median TTF = 5.1 months (95% CI 4.4-5.6), and median OS = 23.7 months (95% CI 20.7-27.4). CONCLUSION The benefits of treatments after T-DM1 are limited. Further investigation of new treatment strategies beyond T-DM1 is awaited for HER2-positive metastatic breast cancer patients.
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Affiliation(s)
- Takamichi Yokoe
- Department of Breast Surgery, National Cancer Center Hospital East, Kashiwa, Japan
| | - Sasagu Kurozumi
- Department of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Kazuki Nozawa
- Department of Clinical Oncology, Breast Oncology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Yukinori Ozaki
- Department of Medical Oncology, Toranomon Hospital, 2-2-2 Toranomon, Minato-ku, Tokyo, 105-8470, Japan
| | - Tetsuyo Maeda
- Department of Surgical Oncology, Breast Oncology Center, Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Shu Yazaki
- Department of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Mai Onishi
- Department of Breast Surgery, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
| | - Akihiro Fujimoto
- Breast Oncology Service, Saitama Medical University International Medical Center, Hidaka, Japan
| | - Sayuka Nakayama
- Advanced Cancer Translational Research Institute, Department of Surgery, Division of Breast Surgical Oncology, Showa University, Tokyo, Japan
| | - Yuko Tsuboguchi
- Department of Medical Oncology, Osaka City General Hospital, Osaka, Japan
| | - Tsutomu Iwasa
- Department of Medical Oncology, Kindai University Faculty of Medicine, Osaka-sayama, Japan
| | - Hitomi Sakai
- Department of Medical Oncology, Kindai University Faculty of Medicine, Osaka-sayama, Japan
| | - Misato Ogata
- Department of Medical Oncology, Kobe City Hospital Organization Kobe City Medical Center General Hospital, Kobe, Japan
| | - Mitsuo Terada
- Department of Breast Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Meiko Nishimura
- Department of Medical Oncology, Hyogo Cancer Center, Akashi, Japan
| | - Takuma Onoe
- Department of Medical Oncology, Hyogo Cancer Center, Akashi, Japan
| | - Jun Masuda
- Department of Medical Oncology, Toranomon Hospital, 2-2-2 Toranomon, Minato-ku, Tokyo, 105-8470, Japan
| | - Michiko Kurikawa
- Department of Breast and Endocrine Surgery, Toranomon Hospital, Tokyo, Japan
| | - Hirotsugu Isaka
- Department of Breast Surgery, School of Medicine, Kyorin University, Tokyo, Japan
| | - Kanako Hagio
- Department of Breast Surgery, Hokkaido University Hospital, Sapporo, Japan
| | - Akihiko Shimomura
- Department of Breast and Medical Oncology, National Center for Global Health and Medicine, Tokyo, Japan
| | - Yuta Okumura
- Department of Internal Medicine, Kyushu University Beppu Hospital, Oita, Japan
| | - Manabu Futamura
- Department of Surgical Oncology, Graduate School of Medicine, Gifu University, Gifu, Japan
| | - Mototsugu Shimokawa
- Department of Biostatistics, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - Toshimi Takano
- Department of Medical Oncology, Toranomon Hospital, 2-2-2 Toranomon, Minato-ku, Tokyo, 105-8470, Japan.
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Karkou V, Dudley-Swarbrick I, Starkey J, Parsons A, Aithal S, Omylinska-Thurston J, Verkooijen HM, van den Boogaard R, Dochevska Y, Djobova S, Zdravkov I, Dimitrova I, Moceviciene A, Bonifacino A, Asumi AM, Forgione D, Ferrari A, Grazioli E, Cerulli C, Tranchita E, Sacchetti M, Parisi A. Dancing With Health: Quality of Life and Physical Improvements From an EU Collaborative Dance Programme With Women Following Breast Cancer Treatment. Front Psychol 2021; 12:635578. [PMID: 33716903 PMCID: PMC7943865 DOI: 10.3389/fpsyg.2021.635578] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 01/27/2021] [Indexed: 12/24/2022] Open
Abstract
Background: Women's health has received renewed attention in the last few years including health rehabilitation options for women affected by breast cancer. Dancing has often been regarded as one attractive option for supporting women's well-being and health, but research with women recovering from breast cancer is still in its infancy. Dancing with Health is multi-site pilot study that aimed to evaluate a dance programme for women in recovery from breast cancer across five European countries. Methods: A standardized 32 h dance protocol introduced a range of Latin American dances presented within a sports and exercise framework with influences from dance movement therapy. Fifty-four women (M age 53.51; SD 7.99) participated in the study who had a breast cancer diagnosis <3 years, chemotherapy >6 weeks, no indication of metastasis, or scheduled surgery/chemotherapy/radiation treatment for the duration of the intervention. Primary outcome data was collected for anthropometric and fitness measures next to cancer-related quality of life. T-tests and Wilcoxon signed ranked tests were used to establish differences pre and post intervention. Cohen's d was also calculated to determine the effect size of the intervention. Results: Statistically significant changes were found for: (i) weight, right and left forearm circumference and hip; (ii) 6 min walking, right and left handgrip, sit-to-stand and sit-and-reach; (iii) the EORTC-QLQ C30 summary score as well as the subscales of emotional and social functioning and symptoms. In all cases the direction of change was positive, while Cohen's d calculated showed that the effect of the intervention for these parameters ranged from intermediate to large. Conclusion: Changes on the above anthropometric, fitness and quality of life measures suggest that the intervention was of value to the participating women recovering from breast cancer. Results also advocate collaborative efforts across countries to further research.
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Affiliation(s)
- Vicky Karkou
- Research Centre for Arts and Wellbeing, Edge Hill University, Ormskirk, United Kingdom
| | | | - Jennifer Starkey
- Research Centre for Arts and Wellbeing, Edge Hill University, Ormskirk, United Kingdom
| | - Ailsa Parsons
- Research Centre for Arts and Wellbeing, Edge Hill University, Ormskirk, United Kingdom
| | - Supritha Aithal
- Research Centre for Arts and Wellbeing, Edge Hill University, Ormskirk, United Kingdom
| | | | | | | | | | - Stefka Djobova
- Bulgarian Sports Development Association, Sofia, Bulgaria
| | | | | | | | | | | | - Dolores Forgione
- Istituto Europeo per lo Sviluppo Socio Economico, Alessandria, Italy
| | - Andrea Ferrari
- Istituto Europeo per lo Sviluppo Socio Economico, Alessandria, Italy
| | - Elisa Grazioli
- Department of Human Movement Sciences and Health, Università degli Studi di Roma Foro Italico, Rome, Italy
| | - Claudia Cerulli
- Department of Human Movement Sciences and Health, Università degli Studi di Roma Foro Italico, Rome, Italy
| | - Eliana Tranchita
- Department of Human Movement Sciences and Health, Università degli Studi di Roma Foro Italico, Rome, Italy
| | - Massimo Sacchetti
- Department of Human Movement Sciences and Health, Università degli Studi di Roma Foro Italico, Rome, Italy
| | - Attilio Parisi
- Department of Human Movement Sciences and Health, Università degli Studi di Roma Foro Italico, Rome, Italy
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Carioli G, Malvezzi M, Bertuccio P, Boffetta P, Levi F, La Vecchia C, Negri E. European cancer mortality predictions for the year 2021 with focus on pancreatic and female lung cancer. Ann Oncol 2021; 32:478-487. [PMID: 33626377 DOI: 10.1016/j.annonc.2021.01.006] [Citation(s) in RCA: 92] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 01/08/2021] [Accepted: 01/11/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND We predicted cancer mortality statistics for 2021 for the European Union (EU) and its five most populous countries plus the UK. We also focused on pancreatic cancer and female lung cancer. MATERIALS AND METHODS We obtained cancer death certifications and population data from the World Health Organization and Eurostat databases for 1970-2015. We predicted numbers of deaths and age-standardised (world population) rates for 2021 for total cancers and 10 major cancer sites, using a joinpoint regression model. We calculated the number of avoided deaths over the period 1989-2021. RESULTS We predicted 1 267 000 cancer deaths for 2021 in the EU, corresponding to age-standardised rates of 130.4/100 000 men (-6.6% since 2015) and 81.0/100 000 for women (-4.5%). We estimated further falls in male lung cancer rates, but still trending upward in women by +6.5%, reaching 14.5/100 000 in 2021. The breast cancer predicted rate in the EU was 13.3/100 000 (-7.8%). The rates for stomach and leukaemias in both sexes and for bladder in males are predicted to fall by >10%; trends for other cancer sites were also favourable, except for the pancreas, which showed stable patterns in both sexes, with predicted rates of 8.1/100 000 in men and 5.6/100 000 in women. Rates for pancreatic cancer in EU men aged 25-49 and 50-64 years declined, respectively, by 10% and 1.8%, while for those aged 65+ years increased by 1.3%. Rates fell for young women only (-3.4%). Over 1989-2021, about 5 million cancer deaths were avoided in the EU27 compared with peak rates in 1988. CONCLUSION Overall cancer mortality continues to fall in both sexes. However, specific focus is needed on pancreatic cancer, which shows a sizeable decline for young men only. Tobacco control remains a priority for the prevention of pancreatic and other tobacco-related cancers, which account for one-third of the total EU cancer deaths, especially in women, who showed less favourable trends.
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Affiliation(s)
- G Carioli
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | - M Malvezzi
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | - P Bertuccio
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, Milan, Italy
| | - P Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, USA; Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - F Levi
- Department of Epidemiology and Health Services Research, Centre for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - C La Vecchia
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy.
| | - E Negri
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, Milan, Italy
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Moreira R, Granja A, Pinheiro M, Reis S. Nanomedicine Interventions in Clinical Trials for the Treatment of Metastatic Breast Cancer. APPLIED SCIENCES 2021; 11:1624. [DOI: 10.3390/app11041624] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/20/2025]
Abstract
Breast cancer was responsible for the deaths of 626,679 women in 2018. After decades of research, the mortality rates remain high. While the barrier of selectively killing tumor cells is not yet overcome, the search for targeted therapeutics continues. The use of nanomedicine in cancer treatment has opened up new possibilities for more precise drug-delivery systems. This review aimed to gather information and analyze recent clinical trials evaluating the therapeutic effects of nanoparticles in the treatment of metastatic breast cancer. To accomplish this, the clinicaltrials.gov database was consulted, and after employing specific exclusion criteria, 11 clinical trials were selected. Nanoparticle albumin-stabilized paclitaxel was evaluated in ten clinical trials and paclitaxel-incorporating polymeric micelles were assessed in one clinical trial. Overall, this review confirmed a clinical benefit in the use of nanoparticle albumin-stabilized paclitaxel for the treatment of breast cancer, with reduced toxicity when compared to first-line treatments. Three studies did not meet the primary endpoint, however, and so the authors advised further evaluations. Although the use of nanomedicine is revolutionizing the cancer field, to integrate this regimen into generalized clinical treatment, additional clinical trials must be performed to achieve a favorable safety and efficacy profile.
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Affiliation(s)
- Rita Moreira
- Faculdade de Medicina e Ciências Biomédicas, Universidade do Algarve, Campus de Gambelas, 8005-139 Faro, Portugal
- ABC-RI, Algarve Biomedical Center Research Institute, 8005-139 Faro, Portugal
| | - Andreia Granja
- LAQV, REQUIMTE, Departamento de Ciências Químicas, Faculdade de Farmácia, Rua de Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal
| | - Marina Pinheiro
- LAQV, REQUIMTE, Departamento de Ciências Químicas, Faculdade de Farmácia, Rua de Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal
| | - Salette Reis
- LAQV, REQUIMTE, Departamento de Ciências Químicas, Faculdade de Farmácia, Rua de Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal
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Kowalski AE. Mammograms and Mortality: How Has the Evidence Evolved? THE JOURNAL OF ECONOMIC PERSPECTIVES : A JOURNAL OF THE AMERICAN ECONOMIC ASSOCIATION 2021; 35:119-140. [PMID: 34421215 PMCID: PMC8371936 DOI: 10.1257/jep.35.2.119] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Decades of evidence reveal a complicated relationship between mammograms and mortality. Mammograms may detect deadly cancers early, but they may also lead to the diagnosis and potentially fatal treatment of cancers that would never progress to cause symptoms. I provide a brief history of the evidence on mammograms and mortality, focusing on evidence from clinical trials, and I discuss how this evidence informs mammography guidelines. I then explore the evolution of all-cause mortality relative to breast cancer mortality within an influential clinical trial. I conclude with some responses to the evolving evidence.
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Affiliation(s)
- Amanda E Kowalski
- Applied Economics and Public Policy, University of Michigan, Ann Arbor, Michigan
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Steponavičienė L, Briedienė R, Vansevičiūtė-Petkevičienė R, Gudavičienė D, Vincerževskienė I. Breast cancer screening program in Lithuania: trends in breast cancer mortality before and during the introduction of the mammography screening programme. Acta Med Litu 2020; 27:61-69. [PMID: 34113210 PMCID: PMC7968952 DOI: 10.15388/amed.2020.27.2.3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 11/30/2020] [Indexed: 11/30/2022] Open
Abstract
Abstract. Background. Breast cancer is the most frequent oncological disease as well as the leading cause of cancer death among women worldwide. Decline in mortality in economically strong countries is observed. This decline is mostly related to early diagnosis (an improvement in breast cancer awareness and the mammography screening program (MSP)) and a more effective treatment. In the end of 2005, MSP started in Lithuania. The main aim of this article is to evaluate the breast cancer mortality during 22 years in Lithuania, as well as changes before the start of the MSP and during its implementation, in order to assess the influence of the MSP on mortality. Materials and methods. Analysis is based on data from the population-based Lithuanian Cancer Registry. Analysis of changes in mortality includes the period from 1998 to 2019. Age standardized mortality rates are calculated for assessment of changes. Joinpoint regression analysis is used. Results. Applying the segmental regression model, it was found that during the study period mortality was statistically significantly decreasing by -1.1% each year. Mortality among women under the age of 50 decreased both before and during the implementation of MSP. Mortality in the target population also was already decreasing until the implementation of the program, but a significant reduction in mortality was observed in this group since 2006. Conclusions. Overall breast cancer mortality is decreasing in Lithuania. After the implementation of MSP the largest reduction in mortality was observed in the target population, however, it is not as pronounced as it could be with the well-organized MSP.
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40
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Möhl A, Orban E, Jung AY, Behrens S, Obi N, Chang-Claude J, Becher H. Comorbidity burden in long-term breast cancer survivors compared with a cohort of population-based controls from the MARIE study. Cancer 2020; 127:1154-1160. [PMID: 33259052 DOI: 10.1002/cncr.33363] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 09/21/2020] [Accepted: 11/13/2020] [Indexed: 12/29/2022]
Abstract
BACKGROUND The number of elderly cancer survivors is growing because of increasing survival rates. A high comorbidity burden in the elderly can affect their quality of life and survival. The aim of this study was to examine whether breast cancer survivors and population-based controls have a different comorbidity burden after long-term follow-up. METHODS This study used data from a German breast cancer case-control study, which initially comprised 3813 breast cancer cases aged 50 to 74 years who were diagnosed between 2002 and 2005 and 7341 population-based controls. Participants were followed up in 2014/2016. A modified Charlson Comorbidity Index (mCCI) was calculated to quantify severe comorbidities. Negative binomial regression was performed to estimate rate ratios (RRs) with 95% confidence intervals (CIs) for the association between case-control status and mCCI (dependent variable) for the baseline population and for those who participated at follow-up, with adjustments made for relevant lifestyle factors. RESULTS In total, 1925 cases and 3674 controls participated in the follow-up 12 years after recruitment. In the baseline population 35% had at least 1 comorbid condition.In long-term survivors this proportion was 52%. No difference was found in the mCCI between breast cancer cases and controls at baseline (RR, 1.05; 95% CI, 0.98-1.11) or between long-term survivors of the 2 groups at baseline (RR, 1.07; 95% CI, 0.97-1.18) or at follow-up (RR, 1.00; 95% CI, 0.91-1.10). CONCLUSIONS The comorbidity burden of long-term breast cancer survivors and controls increased over time; however, it remained similar in both groups after 12 years of follow-up.
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Affiliation(s)
- Annika Möhl
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ester Orban
- Cancer Epidemiology Group, University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Audrey Y Jung
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Sabine Behrens
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Nadia Obi
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jenny Chang-Claude
- Cancer Epidemiology Group, University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Heiko Becher
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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41
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Zahl PH. RE: Breast Cancer Mortality After Implementation of Organized Population-Based Screening in Norway. J Natl Cancer Inst 2020; 112:1174. [PMID: 32986840 DOI: 10.1093/jnci/djaa129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 08/19/2020] [Indexed: 11/15/2022] Open
Affiliation(s)
- Per-Henrik Zahl
- Norwegian Institute of Public Health, Domain for Mental and Physical Health, Skøyen, Oslo, Norway
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Affiliation(s)
- Ashley K Clift
- Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London W12 0HS, UK
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43
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Vilinová K. Spatial Autocorrelation of Breast and Prostate Cancer in Slovakia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E4440. [PMID: 32575748 PMCID: PMC7344400 DOI: 10.3390/ijerph17124440] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 06/18/2020] [Accepted: 06/18/2020] [Indexed: 12/11/2022]
Abstract
Cancer is one of the dominant causes of death in the Slovak population. Monitoring the course of the cancer death rate in Slovakia can be considered as a relevant subject for geographical research. Relatively little is known about the geographic distribution of breast and prostate cancer incidence in Slovakia. In the submitted paper, it is hypothesized that breast and prostate cancer in the examined territory are characterized by different intensities, incidences, and spatial differences. The spatial patterns of breast and prostate cancer in Slovakia were examined by means of spatial autocorrelation analyses with the Local Moran's I and Anselin Local Moran's statistics. Data on standardized death rates of breast and prostate cancer in Slovakia between 2001 and 2018 were used. Prostate cancer in men and breast cancer in women show a positive statistically significant Global Moran's I, whose values indicate a tendency to cluster. The Anselin Local Moran's I analysis indicates significant clusters of breast cancer in the western part of Slovakia, and prostate cancer clusters mostly in the central part of Slovakia. The findings we have obtained in this study may help us investigate further hypotheses regarding the causes and identification of spatial differences in breast and prostate cancer incidence. Our findings might stimulate further research into the possible causes which underlie the clusters.
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Affiliation(s)
- Katarína Vilinová
- Department of Geography and Regional Development, Faculty of Natural Sciences, Constantine the Philosopher University in Nitra, Tr. A. Hlinku 1, 94974 Nitra, Slovakia
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45
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Cardoso F, Kyriakides S, Ohno S, Penault-Llorca F, Poortmans P, Rubio IT, Zackrisson S, Senkus E. Early breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up†. Ann Oncol 2020; 30:1194-1220. [PMID: 31161190 DOI: 10.1093/annonc/mdz173] [Citation(s) in RCA: 1234] [Impact Index Per Article: 246.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Affiliation(s)
- F Cardoso
- Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal
| | | | - S Ohno
- Breast Oncology Center, Cancer Institute Hospital, Tokyo, Japan
| | - F Penault-Llorca
- Department of Pathology, Centre Jean Perrin, Clermont-Ferrand; .,UMR INSERM 1240, IMoST Université d'Auvergne, Clermont-Ferrand
| | - P Poortmans
- Department of Radiation Oncology, Institut Curie, Paris;,Paris Sciences & Lettres – PSL University, Paris, France
| | - I T Rubio
- Breast Surgical Oncology Unit, Clinica Universidad de Navarra, Madrid, Spain
| | - S Zackrisson
- Department of Translational Medicine, Diagnostic Radiology, Lund University and Skåne University Hospital Malmö, Malmö, Sweden
| | - E Senkus
- Department of Oncology and Radiotherapy, Medical University of Gdańsk, Gdańsk, Poland
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46
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Hedayati E, Papakonstantinou A, Gernaat SAM, Altena R, Brand JS, Alfredsson J, Bhoo-Pathy N, Herrmann J, Linde C, Dahlstrom U, Bergh J, Hubbert L. Outcome and presentation of heart failure in breast cancer patients: findings from a Swedish register-based study. EUROPEAN HEART JOURNAL. QUALITY OF CARE & CLINICAL OUTCOMES 2020; 6:147-155. [PMID: 31328233 DOI: 10.1093/ehjqcco/qcz039] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 07/09/2019] [Accepted: 07/12/2019] [Indexed: 02/07/2023]
Abstract
AIMS Heart failure (HF) patients diagnosed with breast cancer (BC) may have a higher risk of death, and different HF presentation and treatment than patients without BC. METHODS AND RESULTS A total of 14 998 women with incident HF (iHF) or prevalent HF (pHF) enrolled in the Swedish HF Registry within and after 1 month since HF diagnosis, respectively, between 2008 and 2013. Patients were linked with the National Patient-, Cancer-, and Cause-of-Death Registry. Two hundred and ninety-four iHF and 338 pHF patients with BC were age-matched to 1470 iHF and 1690 pHF patients without BC. Comorbidity and treatment characteristics were compared using the χ2 tests for categories. Cox proportional hazard models assessed the hazard ratio (HR) and 95% confidence intervals (95% CIs) of all-cause and cardiovascular mortality among HF patients with and without BC. In the pHF group, BC patients had less often myocardial infarction (21.6% vs. 28.6%, P < 0.01) and received less often aspirin (47.6% vs. 55.1%, P = 0.01), coronary revascularization (11.8% vs. 16.2%, P < 0.01), or device therapy (0.9% vs. 3.0%, P = 0.03). After median follow-up of 2 years, risk of all-cause mortality (iHF: HR = 1.04, 95% CI = 0.83-1.29 and pHF: HR = 0.94, 95% CI = 0.79-1.12), cardiovascular mortality (iHF: HR = 0.94, 95% CI = 0.71-1.24 and pHF: HR = 0.89, 95% CI = 0.71-1.10), and HF mortality (iHF: HR = 0.80, 95% CI = 0.34-1.90 and pHF: HR = 0.75, 95% CI = 0.43-1.29) were similar for patients with and without BC in the iHF and pHF groups. CONCLUSION Risk of all-cause and cardiovascular mortality in HF patients did not differ by BC status. Differences in pre-existing myocardial infarction and HF treatment among pHF patients with and without BC may suggest differences in pathogenesis of HF.
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Affiliation(s)
- Elham Hedayati
- Department of Oncology-Pathology, Karolinska Institute and University Hospital, SE-17176 Stockholm, Sweden.,Breast Cancer Flow, Patient Area of Breast Cancer Sarcoma and Endocrine Tumours, Theme Cancer, Karolinska University Hospital, Stockholm, Sweden
| | - Antroula Papakonstantinou
- Department of Oncology-Pathology, Karolinska Institute and University Hospital, SE-17176 Stockholm, Sweden.,Breast Cancer Flow, Patient Area of Breast Cancer Sarcoma and Endocrine Tumours, Theme Cancer, Karolinska University Hospital, Stockholm, Sweden
| | - Sofie A M Gernaat
- Department of Oncology-Pathology, Karolinska Institute and University Hospital, SE-17176 Stockholm, Sweden
| | - Renske Altena
- Department of Oncology-Pathology, Karolinska Institute and University Hospital, SE-17176 Stockholm, Sweden.,Breast Cancer Flow, Patient Area of Breast Cancer Sarcoma and Endocrine Tumours, Theme Cancer, Karolinska University Hospital, Stockholm, Sweden
| | - Judit S Brand
- Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Joakim Alfredsson
- Department of Cardiology and Department of Health, Medicine and Caring Sciences, Linkoping University, Linkoping, Sweden.,Department of Medical and Health Sciences, Linkoping University, Linkoping, Sweden
| | - Nirmala Bhoo-Pathy
- Julius Centre University of Malaya, Faculty of Medicine, University of Malaya, 50603 Lembah Pantai, Kuala Lumpur, Malaysia
| | - Jeorg Herrmann
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
| | - Cecilia Linde
- Heart and Vascular Theme, Karolinska University Hospital and Karolinska Institutet, Stockholm, Sweden
| | - Ulf Dahlstrom
- Department of Cardiology and Department of Health, Medicine and Caring Sciences, Linkoping University, Linkoping, Sweden.,Department of Medical and Health Sciences, Linkoping University, Linkoping, Sweden
| | - Jonas Bergh
- Department of Oncology-Pathology, Karolinska Institute and University Hospital, SE-17176 Stockholm, Sweden.,Breast Cancer Flow, Patient Area of Breast Cancer Sarcoma and Endocrine Tumours, Theme Cancer, Karolinska University Hospital, Stockholm, Sweden
| | - Laila Hubbert
- Department of Cardiology and Department of Health, Medicine and Caring Sciences, Norrkoping, Sweden.,Transplant Institute, Sahlgrenska University Hospital, Gothenburg, Sweden
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Lewison G, Gavin A, McCallion K, McDermott R, Sullivan R, Lawler M. The 'Good Friday Agreement' and cancer research on the island of Ireland: Evidence for the impact of a tripartite cancer research partnership. Eur J Cancer 2020; 129:15-22. [PMID: 32114365 DOI: 10.1016/j.ejca.2020.01.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Accepted: 01/21/2020] [Indexed: 10/25/2022]
Abstract
AIM In 1999, a cooperative tripartite cancer research and training agreement was signed between Ireland (IE), Northern Ireland (NI) and the United States (US) National Cancer Institute, giving rise to the All-Ireland Cancer Consortium (AICC). We wished to consider if AICC increased the amount/impact of cancer research on the island of Ireland and what effect this enhanced research activity had on cancer services and cancer outcomes. METHODS As comparator, we chose the city regions of Copenhagen and Lund & Malmö, whose physical connection was greatly improved following construction of bridges between Denmark and Sweden around the time AICC was established. We analysed cancer research outputs from all four geographical regions in the Web of Science (1988-2017), with a particular focus on citations and journal impact factors. We evaluated disability-adjusted life years (DALYs) as an indicator of change in health status. RESULTS Research outputs increased in all four regions, but more in IE/NI than in the Scandinavian cities, while collaboration between IE and NI and both the US and the Rest of Europe increased even more substantially. Citation scores also showed a greater improvement for IE and NI. Journal citation impact factors indicated that IE/NI papers were increasingly being published in more highly cited journals. Research-enabled cancer service provision improved on the island of Ireland, with concomitant increases in cancer survival. CONCLUSION The AICC collaborative agreement delivered significant additionality on the island of Ireland, promoting transnational cooperation, enhancing cancer research activity, and underpinning improved cancer services and better cancer outcomes.
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Affiliation(s)
- Grant Lewison
- King's College London, Institute of Cancer Policy, Department of Cancer and Pharmaceutical Studies, Guy's Hospital, Great Maze Pond, London SE1 9RT, UK.
| | - Anna Gavin
- Northern Ireland Cancer Registry, Centre for Public Health, Queen's University Belfast, Belfast UK.
| | - Karen McCallion
- InterTradeIreland, Old Gasworks Business Park, Kilmorey St, Newry BT34 2DE, UK.
| | - Ray McDermott
- Cancer Trials Ireland, Old Finglas Road Glasnevin, Dublin, Ireland.
| | - Richard Sullivan
- King's College London, Institute of Cancer Policy, Department of Cancer and Pharmaceutical Studies, Guy's Hospital, Great Maze Pond, London SE1 9RT, UK.
| | - Mark Lawler
- Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast BT9 7AE, UK.
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Koczkodaj P, Sulkowska U, Gotlib J, Mańczuk M. Breast cancer mortality trends in Europe among women in perimenopausal and postmenopausal age (45+). Arch Med Sci 2020; 16:146-156. [PMID: 32051718 PMCID: PMC6963145 DOI: 10.5114/aoms.2019.85198] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Accepted: 05/14/2019] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION The aim of the study was to analyze breast cancer (BC) mortality trends among women at the age of 45 years old and older (45+) in the 28 European Union (EU) countries, as well as in 3 non-EU countries - Norway, Switzerland and the Russian Federation (control group) within the period 1959-2017. MATERIAL AND METHODS Mortality and population data were sourced from the World Health Organization (WHO) database, and age-standardized mortality rates were calculated using the standard world population. Changes in mortality trends were analyzed using Joinpoint Trend Analysis Software. RESULTS The majority of analyzed countries showed a meaningful decrease in BC mortality among women aged 45+. However, the results of our study suggest that there are 4 EU countries - Croatia, Poland, Romania and Slovakia - where increasing BC mortality trends started to be visible in the analyzed age group. Currently, the observed increase is still not significant, but the obtained data suggest the possibility of further continuation of the observed trend in the future. Moreover, in Bulgaria we also noted continuation of the increase in BC mortality (statistically significant). CONCLUSIONS Due to the availability of better treatment options, as well as presence of effective tools for detecting BC at the early stages of progression, BC mortality is falling in most analyzed European countries. To maintain this situation and to stop BC mortality increase in the analyzed age group in Bulgaria, Croatia, Poland, Romania and Slovakia, immediate actions for improvement of BC management in the European health care systems should be considered.
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Affiliation(s)
- Paweł Koczkodaj
- Department of Epidemiology and Cancer Prevention, Maria Sklodowska-Curie Institute – Oncology Center, Warsaw, Poland
- Department of Education and Research in Health Sciences, Medical University of Warsaw, Warsaw, Poland
| | - Urszula Sulkowska
- Department of Epidemiology and Cancer Prevention, Maria Sklodowska-Curie Institute – Oncology Center, Warsaw, Poland
| | - Joanna Gotlib
- Department of Education and Research in Health Sciences, Medical University of Warsaw, Warsaw, Poland
| | - Marta Mańczuk
- Department of Epidemiology and Cancer Prevention, Maria Sklodowska-Curie Institute – Oncology Center, Warsaw, Poland
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49
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Breast cancer mortality in Chinese women: does migrant status play a role? Ann Epidemiol 2019; 40:28-34.e2. [DOI: 10.1016/j.annepidem.2019.10.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Accepted: 10/22/2019] [Indexed: 11/20/2022]
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50
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Wang X, Qian C, Yang Y, Liu MY, Ke Y, Qian ZM. Phosphorylated Rasal2 facilitates breast cancer progression. EBioMedicine 2019; 50:144-155. [PMID: 31759919 PMCID: PMC6921363 DOI: 10.1016/j.ebiom.2019.11.019] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2019] [Revised: 10/24/2019] [Accepted: 11/11/2019] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Rasal2 has diametric effects on progression of oestrogen receptor-positive (ER+) and -negative (ER-) breast cancers. The relevant causes are unknown. It is also unknown whether the effects of Rasal2 are mediated by an exosome-transport process. METHODS Exosomes were purified from breast cancer cells and identified by transmission electron microscopy and flow cytometry analysis. In vivo and in vitro experiments were conducted to investigate the role of Rasal2 in exosome-mediated breast cancer progression. Western blot analysis was performed to detect Rasal2 and p-Rasal2 (phosphorylated Rasal2) expression in ER+/ER- breast cancer cells and in exosomes, cancer tissues and blood of patients with ER+ or ER- breast cancer. FINDINGS Phosphorylation of Rasal2 at Serine 237 promoted tumour growth in both ER+ and ER- tumour cells and tissues. The functions of both p-Rasal2 and non-p-Rasal2 (non-phosphorylated-Rasal2) in the modulation of breast cancer progression are exosome-mediated. p-Rasal2 expression in ER+ breast cancer cells and exosomes, cancer tissues and blood was significantly lower than in ER- tumour cells and patients. INTERPRETATION p-Rasal2 facilitates tumour progression in both ER+ and ER- breast cancers. The ratio of p-Rasal2/non-p-Rasal2 in ER+ and ER- breast cancers is one of the factors deciding the role of Rasal2 (or total Rasal2) as a suppressor in ER+ breast cancers or as a promoter in ER- breast cancers. Targeting the phosphorylation of Rasal2 machinery may therefore be useful as a therapy to restrain breast cancer progression by reducing p-Rasal2/non-p-Rasal2 ratio, especially in ER- breast cancers. FUND: NSFC and Hong Kong Research Grants Council.
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Affiliation(s)
- Xuan Wang
- Department of Pharmacology and Biochemistry, Fudan University School of Pharmacy, 826 Zhangheng Road, Pu Dong, Shanghai 201203, China
| | - Christopher Qian
- School of Biomedical Sciences and Gerald Choa Neuroscience Centre, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, NT, Hong Kong
| | - Yinlong Yang
- Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai 200000, China
| | - Meng-Yue Liu
- Institute of Translational & Precision Medicine, Nantong University, Nantong, JS 226019, China
| | - Ya Ke
- School of Biomedical Sciences and Gerald Choa Neuroscience Centre, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, NT, Hong Kong
| | - Zhong-Ming Qian
- Department of Pharmacology and Biochemistry, Fudan University School of Pharmacy, 826 Zhangheng Road, Pu Dong, Shanghai 201203, China; Institute of Translational & Precision Medicine, Nantong University, Nantong, JS 226019, China.
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