Abstract
Baseline cardiovascular disease (CVD) has been linked with poorer outcomes for patients with cancer. The precise mechanisms underpinning that are poorly understood but may include reduced treatment receipt. We estimated the association between pre-existing CVD and cancer treatment receipt using population-based cancer registry records. Records of all adults diagnosed with cancer (excluding non-melanoma skin cancer) in Northern Ireland in 2009–2019 were linked with comorbidity and treatment data. The adjusted odds ratios (aOR) of receiving various cancer treatments for patients with previous cardiovascular diagnoses were estimated using multivariable logistic regression, adjusting for established confounders. Subgroup analyses were conducted for combinations of 24 tumour sites, 11 cardiovascular conditions, and 5 cancer treatment modalities. Kaplan-Meier curves and Cox proportional hazards model were used to analyse time to treatment. 81,341 cancer patients were included, with a mean age of 67.1 ± 14.1 years. The most common cancers included were breast (15.8%), lung (14.1%) and colorectal cancer (13.5%). Patients with pre-existing CVD (23.4%) were 30% less likely to receive any cancer treatment than patients without (aOR = 0.70 [95%CI 0.67, 0.73]). This reduction varied between treatment modalities with 30% for chemotherapy (aOR = 0.70 [95%CI 0.67, 0.73]), 28% for radiotherapy (aOR = 0.72 [95%CI 0.66, 0.79]), and 23% for surgery (aOR = 0.77 [95%CI 0.74, 0.80]). Hormone therapy showed no significant overall difference (aOR = 1.02 [95%CI 0.94, 1.11]). At 6 months post-diagnosis, patients with pre-existing CVD had a 14% (0.14 [95%CI 0.13, 0.15]) lower probability of initiating cancer treatment compared to those without. Pre-existing CVD was associated with an overall lower odds of cancer treatment, although the magnitude of this decrement varied according to the primary tumour, treatment modality and the type of CVD. These data present granular population-based insights into the impact of cardiovascular comorbidities on receiving cancer treatment and should be accounted for when reporting survival variations and healthcare policymaking.
Data availability
The datasets generated and/or analysed as part of this study are not publicly available due to the limits of the ethical approval granted to the Northern Ireland Cancer Registry to share patient-level data. Anonymised, non-patient level data can be made available from the corresponding author on reasonable request.
References
Petek, B. J., Greenman, C., Herrmann, J., Ewer, M. S. & Jones, R. L. Cardio-oncology: an ongoing evolution. Future Oncol. Lond. Engl. 11, 2059–2066 (2015).
Pudil, R. The future role of cardio-oncologists. Card Fail. Rev. 3, 140–142 (2017).
Barros-Gomes, S. et al. Rationale for setting up a cardio-oncology unit: our experience at Mayo clinic. Cardio-Oncol Lond. Engl. 2, 5 (2016).
Lenihan, D. et al. Proceedings from the global cardio-oncology summit. JACC CardioOncology 1, 256–272 (2019).
Koene, R. J., Prizment, A. E., Blaes, A. & Konety, S. H. Shared risk factors in cardiovascular disease and cancer. Circulation 133, 1104–1114 (2016).
Ezaz, G., Long, J. B., Gross, C. P. & Chen, J. Risk prediction model for heart failure and cardiomyopathy after adjuvant trastuzumab therapy for breast cancer. J. Am. Heart Assoc. 3, e000472 (2014).
Romond, E. H. et al. Seven-year follow-up assessment of cardiac function in NSABP B-31, a randomized trial comparing doxorubicin and cyclophosphamide followed by Paclitaxel (ACP) with ACP plus trastuzumab as adjuvant therapy for patients with node-positive, human epidermal growth factor receptor 2–positive breast cancer. J. Clin. Oncol. 30, 3792–3799 (2012).
Abdel-Qadir, H. et al. Development and validation of a multivariable prediction model for major adverse cardiovascular events after early stage breast cancer: a population-based cohort study. Eur. Heart J. 40, 3913–3920 (2019).
Sawaya, H. et al. Assessment of echocardiography and biomarkers for the extended prediction of cardiotoxicity in patients treated with Anthracyclines, Taxanes, and trastuzumab. Circ. Cardiovasc. Imaging. 5, 596–603 (2012).
Plana, J. C. et al. Expert consensus for multimodality imaging evaluation of adult patients during and after cancer therapy: A report from the American society of echocardiography and the European association of cardiovascular imaging. J. Am. Soc. Echocardiogr. 27, 911–939 (2014).
Riddell, E. & Lenihan, D. The role of cardiac biomarkers in cardio-oncology. Curr. Probl. Cancer. 42, 375–385 (2018).
Guglin, M. et al. Randomized trial of Lisinopril versus carvedilol to prevent trastuzumab cardiotoxicity in patients with breast cancer. J. Am. Coll. Cardiol. 73, 2859–2868 (2019).
Gulati, G. et al. Prevention of cardiac dysfunction during adjuvant breast cancer therapy (PRADA): a 2 × 2 factorial, randomized, placebo-controlled, double-blind clinical trial of candesartan and metoprolol. Eur. Heart J. 37, 1671–1680 (2016).
Pituskin, E. et al. Multidisciplinary approach to novel therapies in cardio-oncology research (MANTICORE 101–Breast): A randomized trial for the prevention of trastuzumab-associated cardiotoxicity. J. Clin. Oncol. 35, 870–877 (2017).
Avila, M. S. et al. Carvedilol for prevention of chemotherapy-related cardiotoxicity. J. Am. Coll. Cardiol. 71, 2281–2290 (2018).
Kearney, T. M. et al. Validation of the completeness and accuracy of the Northern Ireland cancer registry. Cancer Epidemiol. 39, 401–404 (2015).
Cancer Incidence, Survival and Prevalence Statistics: Methodology Report. https://www.qub.ac.uk/research-centres/nicr/FileStore/OfficialStatistics1993-2022/November24release/Methodology_report.pdf
Official Statistics - All Cancers Excl. NMSC. https://www.qub.ac.uk/research-centres/nicr/CancerInformation/official-statistics/BySite/All-Cancers-excl-non-malignant-melanoma-skin/
Küçükali, H., Bennett, D., O’Neill, C. & Gavin, A. Linking comorbidity data into cancer registries: cardiovascular comorbidities of cancer patients in Northern Ireland. In ENCR IACR Scientific Conference (Granada, Spain, 2023).
NHS Classifications OPCS-4. NHS TRUD. https://isd.digital.nhs.uk/trud/user/guest/group/0/pack/10
O’Neill, C. et al. Survival of cancer patients with pre-existing heart disease. BMC Cancer. 22, 847 (2022).
Küçükali, H. The effect of pre-existing cardiovascular disease on cancer treatment receipt. Open Causal (2025). https://opencausal.org/graph/brsnb5u5/
Northern Ireland Multiple Deprivation Measure. Northern Ireland Statistics and Research Agency (2017). https://www.nisra.gov.uk/statistics/deprivation/northern-ireland-multiple-deprivation-measure-2017-nimdm2017
Urban - Rural Classification. Northern Ireland Statistics and Research Agency. https://www.nisra.gov.uk/support/geography/urban-rural-classification
Küçükali, H. et al. Pre-existing cardiovascular disease and cancer treatment receipt. OSF (2025). https://osf.io/vgzq5/
Allemani, C. et al. Global surveillance of trends in cancer survival 2000-14 (CONCORD-3): analysis of individual records for 37 513 025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries. Lancet Lond. Engl. 391, 1023–1075 (2018).
Upshaw, J. N. et al. Impact of preexisting heart failure on treatment and outcomes in older patients with hodgkin lymphoma. JACC CardioOncology. 6, 200–213 (2024).
Abdel-Rahman, O. et al. Impact of baseline cardiovascular comorbidity on outcomes in women with breast cancer: A real-world, population-based study. Clin. Breast Cancer 19, e297–e305 (2019).
Batra, A., Sheka, D., Kong, S. & Cheung, W. Y. Impact of pre-existing cardiovascular disease on treatment patterns and survival outcomes in patients with lung cancer. BMC Cancer. 20, 1004 (2020).
Yu, A. F. et al. Association of circulating cardiomyocyte cell-free DNA with cancer therapy-related cardiac dysfunction in patients undergoing treatment for ERBB2-positive breast cancer. JAMA Cardiol. 8, 697–702 (2023).
Walls, G. M. et al. The association of incidental radiation dose to the heart base with overall survival and cardiac events after curative-intent radiotherapy for non-small cell lung cancer: Results from the NI-HEART study. Clin. Oncol. 36, 119–127 (2024).
Acknowledgements
The authors wish to express their gratitude to the staff at the Northern Ireland Cancer Registry, who ensure cancer records are maintained in a way that they are accurate, complete, consistent and useful, since 1994. They also extend their thanks to Duyen Nguyen and Amisha Ashok for their help in running analyses on the registry’s secure computers.
Funding
This study is funded by Heart Research UK [Grant no: TR2438/18/20]. The data were provided by the Northern Ireland Cancer Registry, funded by the Public Health Agency for Northern Ireland.
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HK: conceptualisation, methodology, software, data curation, formal analysis, visualisation, writing - original draft, writing – review and edit. GW: conceptualisation, writing – review and edit. DB: resources, writing – review and edit. AG: conceptualisation, funding acquisition, resources, writing – review and edit. MH: conceptualisation, funding acquisition, writing – review and edit. CON: conceptualisation, methodology, supervision, writing – original draft, writing – review and edit. The authors read and approved the final manuscript.
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The authors declare that they have no competing interests. GW received a speaker fee from Astra Zeneca in 2023.
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This study was conducted on anonymised data in accordance with Northern Ireland Cancer Registry (NICR) Confidentiality and Data Protection Policies; therefore informed consent was not required. The NICR obtained ethical approval from the Office for Research Ethics Committees of Northern Ireland (Ref: 20/NI/0132), which covers the work conducted in this study. All methods were carried out in accordance with relevant guidelines and regulations.
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Küçükali, H., Walls, G.M., Bennett, D. et al. The association between pre-existing cardiovascular disease and cancer treatment receipt in a population-based cancer registry. Sci Rep (2026). https://doi.org/10.1038/s41598-026-38529-0
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DOI: https://doi.org/10.1038/s41598-026-38529-0