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Wilcox NS, Amit U, Reibel JB, Berlin E, Howell K, Ky B. Cardiovascular disease and cancer: shared risk factors and mechanisms. Nat Rev Cardiol 2024; 21:617-631. [PMID: 38600368 PMCID: PMC11324377 DOI: 10.1038/s41569-024-01017-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/20/2024] [Indexed: 04/12/2024]
Abstract
Cardiovascular disease (CVD) and cancer are among the leading causes of morbidity and mortality globally, and these conditions are increasingly recognized to be fundamentally interconnected. In this Review, we present the current epidemiological data for each of the modifiable risk factors shared by the two diseases, including hypertension, hyperlipidaemia, diabetes mellitus, obesity, smoking, diet, physical activity and the social determinants of health. We then review the epidemiological data demonstrating the increased risk of CVD in patients with cancer, as well as the increased risk of cancer in patients with CVD. We also discuss the shared mechanisms implicated in the development of these conditions, highlighting their inherent bidirectional relationship. We conclude with a perspective on future research directions for the field of cardio-oncology to advance the care of patients with CVD and cancer.
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Affiliation(s)
- Nicholas S Wilcox
- Division of Cardiology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Uri Amit
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jacob B Reibel
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Hematology Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Eva Berlin
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kendyl Howell
- Division of Cardiology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Bonnie Ky
- Division of Cardiology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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2
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Zhou S, Liang Z, Li Q, Tian W, Song S, Wang Z, Huang J, Ren M, Liu G, Xu M, Zheng ZJ. Individual and area-level socioeconomic status, Life's Simple 7, and comorbid cardiovascular disease and cancer: a prospective analysis of the UK Biobank cohort. Public Health 2024; 234:178-186. [PMID: 39024928 DOI: 10.1016/j.puhe.2024.06.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Revised: 06/05/2024] [Accepted: 06/19/2024] [Indexed: 07/20/2024]
Abstract
OBJECTIVES We aimed to investigate the associations of individual and area-level socioeconomic status (SES) with incident cardiovascular diseases (CVD) alone, cancer alone, and comorbid CVD and cancer, and the mediation role of cardiovascular health score in these associations. STUDY DESIGN This was a population-based prospective cohort study. METHODS We used data from the UK Biobank, a population-based prospective cohort study. Latent class analysis was used to create an individual-level SES index based on three indicators (household income, education level, and employment status), and the Townsend Index was defined as the area-level socioeconomic status. We used the American Heart Association's (AHA) Life's Simple 7 (smoking, body weight, physical activity, diet, blood pressure, blood glucose, and total cholesterol) to calculate the cardiovascular health score. We used Cox proportional hazard regression models to estimate the hazard ratio (HR) and 95% confidence interval (CI) adjusted for demographic, environmental, and genetic factors. RESULTS Compared with high SES, the HRs in participants with low individual and area-level SES were 1.33 (95% confidence interval [CI] 1.29 to 1.38) and 1.24 (95% CI 1.20 to 1.29) for incident CVD, 0.96 (95% CI 0.93 to 0.99) and 0.95 (95%CI 0.92 to 0.98) for incident cancer, 1.32 (95%CI 1.24 to 1.40) and 1.15 (95%CI 1.08 to 1.22) for incident comorbid CVD and cancer, respectively. Additionally, the mediation proportion of CVD score for individual and area-level SES was 47.93% and 48.87% for incident CVD, 44.83% and 59.93% for incident comorbid CVD and cancer. The interactions between individual-level SES and CVD scores were significant on incident CVD, and comorbid CVD and cancer, and the protective associations were stronger in participants with high individual-level SES. CONCLUSIONS Life's Simple 7 significantly mediated the associations between SES and comorbid CVD and cancer, while almost half of the associations remained unclear.
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Affiliation(s)
- S Zhou
- Department of Global Health, Peking University School of Public Health, 38 Xue Yuan Road, Haidian District, Beijing, China; Institute for Global Health and Development, Peking University, Beijing, China
| | - Z Liang
- Department of Global Health, Peking University School of Public Health, 38 Xue Yuan Road, Haidian District, Beijing, China; Institute for Global Health and Development, Peking University, Beijing, China
| | - Q Li
- Institute of Social Development, Chinese Academy of Macroeconomic Research, Beijing, China
| | - W Tian
- Department of Global Statistics, Eli Lilly and Company, Branchburg, New Jersey, USA
| | - S Song
- Department of Health Policy & Management, College of Public Health, University of Georgia, Athens, GA, USA
| | - Z Wang
- Department of Family Medicine, McGill University, Montreal, QC, Canada
| | - J Huang
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - M Ren
- Department of Global Health, Peking University School of Public Health, 38 Xue Yuan Road, Haidian District, Beijing, China
| | - G Liu
- Institute for Global Health and Development, Peking University, Beijing, China
| | - M Xu
- Department of Global Health, Peking University School of Public Health, 38 Xue Yuan Road, Haidian District, Beijing, China; Institute for Global Health and Development, Peking University, Beijing, China.
| | - Z-J Zheng
- Department of Global Health, Peking University School of Public Health, 38 Xue Yuan Road, Haidian District, Beijing, China; Institute for Global Health and Development, Peking University, Beijing, China.
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3
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Peng Y, Wang P, Du H, Liu F, Wang X, Si C, Gong J, Zhou H, Chen K, Song F. Cardiovascular health, polygenic risk score, and cancer risk: a prospective cohort study. Am J Clin Nutr 2024:S0002-9165(24)00658-0. [PMID: 39134210 DOI: 10.1016/j.ajcnut.2024.07.033] [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: 12/04/2023] [Revised: 05/18/2024] [Accepted: 07/30/2024] [Indexed: 09/02/2024] Open
Abstract
BACKGROUND Cancer and cardiovascular disease share common lifestyle risk factors. However, it remains unclear whether cardiovascular health (CVH) evaluated by Life's Essential 8 can predict cancer risk, and attenuate the influence of genetic susceptibility on cancer. OBJECTIVES We aimed to evaluate independent and joint associations of CVH and polygenic risk score (PRS) with risks of overall and site-specific cancers. METHODS We undertook a population-based cohort study based on the UK Biobank. The CVH score was constructed by physical activity, body mass index, nicotine exposure, sleep, diet, blood pressure, lipid profile, and blood glucose. PRSs were assessed individually for 18 cancer types by their independent single-nucleotide polymorphisms previously identified in genome-wide association studies. Multivariable Cox proportional-hazards models were applied to explore the independent and joint associations of CVH and PRS with cancer incidence risk. The results were displayed as hazard ratio (HR) and 95% confidence interval (CI). RESULTS Compared with low CVH, high CVH was associated with decreased risks of overall cancer and the majority of common cancers, including digestive system [HRs (95% CI): 0.33 (0.23, 0.45)-0.66 (0.58, 0.75)], lung (HR: 0.25; 95% CI: 0.21, 0.31), renal (HR: 0.42; 95% CI: 0.32, 0.56), bladder (HR: 0.55; 95% CI: 0.44, 0.69), breast (HR: 0.83; 95% CI: 0.74, 0.92), and endometrial cancers (HR: 0.39; 95% CI: 0.30, 0.51). For overall cancer in males, there was an interaction between CVH and PRS. Notably, individuals with high CVH across all levels of PRS had lower risks of overall cancer for females and 8 site-specific cancers than those with low CVH and high PRS [HRs (95% CIs): 0.18 (0.12, 0.25)-0.79 (0.71, 0.87)]. CONCLUSIONS High CVH was related to decreased risks of overall cancer and multiple cancers regardless of genetic predispositions. Our findings underscored the value of improving CVH for cancer prevention in the general population.
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Affiliation(s)
- Yu Peng
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Peng Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Han Du
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Fubin Liu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Xixuan Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Changyu Si
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Jianxiao Gong
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Huijun Zhou
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
| | - Fangfang Song
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
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Mohammedi K, Hess S, McQueen M, Pigeyre M, Lee SF, Pare G, Gerstein HC. Determinants of serious health outcome-free status in middle-aged and older people with dysglycaemia: Exploratory analysis of the ORIGIN trial. Diabetes Obes Metab 2024; 26:3272-3280. [PMID: 38747213 DOI: 10.1111/dom.15654] [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: 03/01/2024] [Revised: 04/25/2024] [Accepted: 04/29/2024] [Indexed: 07/10/2024]
Abstract
AIM To assess clinical and biochemical measurements that can identify people with dysglycaemia (i.e. diabetes or pre-diabetes) who remain free of serious outcomes during follow-up. MATERIALS AND METHODS We conducted exploratory analyses using data from the Outcomes Reduction with an Initial Glargine Intervention (ORIGIN) study to identify independent determinants of outcome-free status in 12 537 middle-aged and older adults with prediabetes and early type 2 diabetes from 40 countries. Serious outcome-free status was defined as the absence of major cardiovascular outcomes, kidney or retinal outcomes, peripheral artery disease, dementia, cancer, any hospitalization, or death during follow-up. RESULTS In total, 3328 (26.6%) participants remained free of serious outcomes during a median follow-up of 6.2 years (IQR 5.8, 6.7). Independent clinical determinants of outcome-free status included younger age, female sex, non-White ethnicity, shorter diabetes duration, absence of previous cardiovascular disease, current or former smokers, higher grip strength, Mini-Mental State Examination score, and ankle-brachial index, lower body mass index and kidney disease index, and non-use of renin-angiotensin system drugs and beta-blockers. In a subset of 8401 people with baseline measurements of 238 biomarkers, growth differentiation factor 15, kidney injury molecule-1, N-terminal pro-brain natriuretic peptide, uromodulin, C-reactive protein, factor VII and ferritin were independent determinants. The combination of clinical determinants and biomarkers best identified participants who remained outcome-free (C-statistics 0.71, 95% confidence interval 0.70-0.73; net reclassification improvement 0.55, 95% confidence interval 0.48-0.58). CONCLUSIONS A set of routinely measured clinical characteristics and seven protein biomarkers identify middle-aged and older people with prediabetes or early type 2 diabetes as least likely to experience serious outcomes during follow-up.
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Affiliation(s)
- Kamel Mohammedi
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Canada
- Université de Bordeaux, INSERM, BMC, U1034, Avenue de Magellan, Pessac, France
| | - Sibylle Hess
- Sanofi, Global Medical Diabetes, Frankfurt, Germany
| | - Matthew McQueen
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Canada
| | - Marie Pigeyre
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Canada
| | - Shun Fu Lee
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Canada
| | - Guillaume Pare
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Canada
| | - Hertzel C Gerstein
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Canada
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Prugger C, Perier MC, Sabia S, Fayosse A, van Sloten T, Jouven X, Pentti J, Kivimäki M, Empana JP. Association between changes in cardiovascular health and the risk of multimorbidity: community-based cohort studies in the UK and Finland. THE LANCET REGIONAL HEALTH. EUROPE 2024; 42:100922. [PMID: 38764806 PMCID: PMC11098950 DOI: 10.1016/j.lanepe.2024.100922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 03/29/2024] [Accepted: 04/16/2024] [Indexed: 05/21/2024]
Abstract
Background Better cardiovascular health is associated with lower risk of various chronic diseases, but its association with multimorbidity is poorly understood. We aimed to examine whether change in cardiovascular health is associated with multimorbidity risk. Methods The primary analysis was conducted in the Whitehall II multiwave prospective cohort study (UK) and the validation analysis in the Finnish Public Sector cohort study (Finland). Change in cardiovascular health was assessed using the American Heart Association Life's Simple 7 (LS7) and Life's Essential 8 (LE8) at baseline and re-assessments, using objective measures in Whitehall II and self-reports and pharmacy claims in the Finnish Public Sector cohort study, respectively. Multimorbidity was defined as the presence of two or more of 12 chronic diseases during follow-up. We estimated hazard ratios (HR) and 95% confidence intervals (CI) using Cox's proportional hazard models with age as time scale, adjusting for sex, education, occupation, marital status, and ethnicity. Findings In the primary analysis among 9715 participants, mean age was 44.8 (standard deviation 6.0) years and 67.6% participants were men at baseline. During the median follow-up of 31.4 (interquartile range 26.8-32.3) years, 2751 participants developed multimorbidity. The hazard of multimorbidity decreased by 8% (HR 0.92, 95% CI 0.88-0.96) per ideal LS7 metric increment over 5 years and by 14% (HR 0.86, 95% CI 0.80-0.93) per ten points increase in LE8 score over 10 years. These findings were replicated in the validation analysis among 75,377 participants in terms of 4-year change in cardiovascular health. Interpretation Improvement in cardiovascular health was associated with lower multimorbidity risk in two community-based cohort studies. Interventions improving cardiovascular health of the community may contribute to multimorbidity prevention. Funding None.
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Affiliation(s)
- Christof Prugger
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Public Health, Seestraße 73, 13347, Berlin, Germany
| | - Marie-Cécile Perier
- Université Paris Cité, Paris, INSERM U970, Paris Cardiovascular Research Centre (PARCC), 56 rue Leblanc, 75015, Paris, France
| | - Séverine Sabia
- Université Paris Cité, INSERM U1153, Epidemiology of Aging and Neurodegenerative Diseases, 10 avenue de Verdun, 75010, Paris, France
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Pl, London, Wc1E 7Hb, United Kingdom
| | - Aurore Fayosse
- Université Paris Cité, INSERM U1153, Epidemiology of Aging and Neurodegenerative Diseases, 10 avenue de Verdun, 75010, Paris, France
| | - Thomas van Sloten
- Department of Vascular Medicine, University Medical Centre Utrecht, Lundlaan 4, 3584 EA, Utrecht, the Netherlands
| | - Xavier Jouven
- Université Paris Cité, Paris, INSERM U970, Paris Cardiovascular Research Centre (PARCC), 56 rue Leblanc, 75015, Paris, France
| | - Jaana Pentti
- Clinicum, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, 00290, Helsinki, Finland
- Department of Public Health, University of Turku, Kiinamyllynkatu 8-10, 20520, Turku, Finland
- Centre for Population Health Research, Turku University Hospital, University of Turku, Kiinamyllynkatu 8-10, 20520, Turku, Finland
- Finnish Institute of Occupational Health, Topeliuksenkatu 41 b, 00250, Helsinki, Finland
| | - Mika Kivimäki
- UCL Brain Sciences, University College London, 17 Queen Square, WC1N 3AR, London, United Kingdom
- Clinicum, Faculty of Medicine, University of Helsinki, Tukholmankatu 8, 00290, Helsinki, Finland
| | - Jean-Philippe Empana
- Université Paris Cité, Paris, INSERM U970, Paris Cardiovascular Research Centre (PARCC), 56 rue Leblanc, 75015, Paris, France
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Fan C, Zhu W, He Y, Da M. The association between Life's Essential 8 and all-cause, cancer and non-cancer mortality in US Cancer Survivors: A retrospective cohort study of NHANES. Prev Med 2024; 179:107853. [PMID: 38211801 DOI: 10.1016/j.ypmed.2024.107853] [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: 09/30/2023] [Revised: 01/06/2024] [Accepted: 01/08/2024] [Indexed: 01/13/2024]
Abstract
OBJECTIVE To investigate Life's Essential 8 (LE8), a measure of cardiovascular health (CVH), associations with mortality outcomes in cancer survivors. METHODS A prospective cohort study included 1818 cancer survivors aged ≥20 years (weighted population: 13,204,583) from National Health and Nutrition Examination Survey (NHANES) 2005-2018. Linked to mortality data through 2019, LE8 data were gathered through self-reports and lab tests. An LE8 score of 80-100 is considered high CVH, 60-79 is moderate CVH, and 0-59 is low CVH. Multivariable Cox proportional hazards regression models were employed to evaluate the associations between LE8 and all-cause, cancer-specific and non-cancer mortality. Subsequently, subgroup analyses were conducted to assess the relationship between LE8 and mortality rates across various subgroups. RESULTS At baseline, there were 1818 cancer survivors. In a 15-year follow-up, 2548 deaths occurred: 601 from cancer, 647 from heart disease, and 1300 from other causes. Multivariable models showed high CVH associated with lower hazard ratios for all-cause, cancer-specific and non-cancer mortality vs. low CVH. Cumulative mortality rates increased during follow-up, more so in the low CVH group. Subgroup analysis revealed significant LE8 interactions with age or Poverty Income Ratio (PIR) for all-cause mortality. Additionally, significant interactions between LE8 and PIR were identified for cancer-specific and non-cancer mortality risks (P for interaction <0.05). CONCLUSION Among U.S. cancer survivors, higher CVH is independently linked to lower all-cause, cancer-specific, and non-cancer mortality risks. The new CVH definition shows promise as a primary prevention strategy to reduce mortality rates in U.S. cancer survivors.
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Affiliation(s)
- Chuanlei Fan
- The First Clinical Medical College, Lanzhou University, Lanzhou, China.
| | - Weixiong Zhu
- The Second Clinical Medical College, Lanzhou University, Lanzhou, China.
| | - Yang He
- The First Clinical Medical College, Gansu University of Traditional Chinese Medicine, Lanzhou, China.
| | - Mingxu Da
- The First Clinical Medical College, Lanzhou University, Lanzhou, China; Department of Surgical Oncology, Gansu Provincial Hospital, Lanzhou, China.
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Kadowaki H, Akazawa H, Shindo A, Ueda T, Ishida J, Komuro I. Shared and Reciprocal Mechanisms Between Heart Failure and Cancer - An Emerging Concept of Heart-Cancer Axis. Circ J 2024; 88:182-188. [PMID: 38092383 DOI: 10.1253/circj.cj-23-0838] [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] [Indexed: 01/26/2024]
Abstract
Epidemiological evidence of increased risks of cancer in heart failure (HF) patients and HF in cancer patients has suggested close relationships between the pathogenesis of both diseases. Indeed, HF and cancer share common risk factors, including aging and unhealthy lifestyles, and underlying mechanisms, including activation of the sympathetic nervous system and renin-angiotensin-aldosterone system, chronic inflammation, and clonal hematopoiesis of indeterminate potential. Mechanistically, HF accelerates cancer development and progression via secreted factors, so-called cardiokines, and epigenetic remodeling of bone marrow cells into an immunosuppressive phenotype. Reciprocally, cancer promotes HF via cachexia-related wasting and metabolic remodeling in the heart, and possibly via cancer-derived extracellular vesicles influencing myocardial structure and function. The novel concept of the "heart-cancer axis" will help in our understanding of the shared and reciprocal relationships between HF and cancer, and provide innovative diagnostic and therapeutic approaches for both diseases.
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Affiliation(s)
- Hiroshi Kadowaki
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo
| | - Hiroshi Akazawa
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo
| | - Akito Shindo
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo
| | - Tomomi Ueda
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo
| | - Junichi Ishida
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo
| | - Issei Komuro
- Department of Frontier Cardiovascular Science, Graduate School of Medicine, The University of Tokyo
- International University of Health and Welfare
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