Comprehensive Risk Factor Profiles, Coronary Heart Disease, and Life Expectancy in Cancer Survivors

Q: What are the key findings of this study?

Each additional controlled cardiovascular risk factor was associated with a 15% lower risk of incident coronary heart disease among cancer survivors.

Q: What is the clinical evidence from this study?

Study design: Cohort. Population: Cancer survivors (n=72785). Intervention: Joint risk factor control (9 domains) vs. Lower degree of risk factor control (e.g., ≤3 controlled risk factors). Primary outcome: Incident coronary heart disease (CHD) (HR 0.85, 95% CI 0.81-0.88, p=<0.001).

Q: What does this research mean for the field?

Comprehensive control of modifiable cardiovascular risk factors significantly reduces the risk of coronary heart disease, myocardial infarction, and cardiovascular mortality, and increases residual life expectancy in cancer survivors. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Q: What question did this study set out to answer?

To examine whether joint control of modifiable cardiovascular risk factors is associated with cancer-related excess risk of coronary heart disease and residual life expectancy.

Yangwei Cai; Chuan-Rui Zeng; Maoxiong Wu; Yi Zhang; Pin‐Ming Liu; Jingfeng Wang; Jing‐Wei Gao; Haifeng Zhang; Yangxin Chen

doi:10.1016/j.jacadv.2026.102968

July 17, 2026JACC AdvancesOpen Access

Comprehensive Risk Factor Profiles, Coronary Heart Disease, and Life Expectancy in Cancer Survivors

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Key result

Each additional controlled CV risk factor is linked to ~15% lower CHD risk in cancer survivors.

HR 0.85
95% CI 0.81-0.88
P<0.001
n=72,785

Figures

Graphical abstract published by JACC Advances — Graphical abstract · Published by JACC Advances · CC BY

Why the study?

Cancer survivors have nearly twice the risk of CHD compared with the general population, but whether joint risk factor control is associated with cancer-related excess CHD risk and residual life expectancy remains unclear.

Does a higher degree of joint risk factor control reduce incident CHD, MI, and CVD-related mortality in cancer survivors?

Key Points

To examine whether joint control of modifiable cardiovascular risk factors is associated with cancer-related excess risk of coronary heart disease and residual life expectancy.
Analyzed 14,557 cancer survivors and 58,228 matched noncancer controls from the UK Biobank over a median follow-up of 12.60 years.
Defined risk factor control across 9 domains: blood pressure, body mass index, low-density lipoprotein cholesterol, hemoglobin A1c, renal function, smoking, physical activity, diet, and sleep.
Estimated associations with incident coronary heart disease (CHD), myocardial infarction (MI), and cardiovascular disease (CVD) mortality using Cox proportional hazards models and assessed life expectancy using flexible parametric survival models.
Among cancer survivors, 1,298 CHD events (7.93 per 1,000 person-years), 348 MI events (2.06 per 1,000 person-years), and 211 CVD deaths (1.24 per 1,000 person-years) occurred; each additional controlled risk factor lowered risk of CHD (HR: 0.85; 95% CI: 0.81-0.88), MI (HR: 0.81; 95% CI: 0.74-0.88), and CVD mortality (HR: 0.75; 95% CI: 0.67-0.84).
Participants with ≥6 controlled risk factors had the lowest risk for CHD (HR: 0.53; 95% CI: 0.44-0.63), MI (HR: 0.41; 95% CI: 0.29-0.58), and CVD mortality (HR: 0.37; 95% CI: 0.23-0.58), alongside higher residual life expectancy at age 50 (33.83 vs 30.47 years in ≥6 vs ≤3 controlled factors).
Excess risks associated with cancer history were eliminated when ≥5 risk factors were controlled for CHD (HR: 1.11; 95% CI: 0.99-1.23) and when ≥4 were controlled for MI (HR: 1.14; 95% CI: 0.93-1.39) and CVD mortality (HR: 1.06; 95% CI: 0.83-1.35).

Study Design

Type

Cohort (n=72,785)

Multicenter

Yes

Structured PICO

Does a higher degree of joint risk factor control reduce incident CHD, MI, and CVD-related mortality in cancer survivors?

P

Population

72,785 participants from the UK Biobank, including 14,557 cancer survivors and 58,228 matched noncancer controls, aged 37-73 years, followed for a median of 12.6 years.

E

Exposure

Higher degree of joint risk factor control across 9 domains (blood pressure, BMI, LDL-C, HbA1c, renal function, smoking, physical activity, diet, and sleep), categorized as 4, 5, or ≥6 controlled risk factors.

C

Comparator

Lower degree of risk factor control (≤3 controlled risk factors) and matched noncancer controls.

O

Outcome

Incident coronary heart disease (CHD) ascertained from hospitalization records using ICD-10 codes.hard clinical

Main Result

Hazard Ratio: 0.85 (95% CI 0.81–0.88)

p-value: p=<0.001

Comprehensive optimization of modifiable cardiovascular risk factors is associated with significantly lower risks of CHD, MI, and CVD-related mortality, as well as longer residual life expectancy, in cancer survivors.

Limitations

Observational design with baseline assessment only, precluding causal inference
Unknown timing of cancer diagnosis or treatment relative to study enrollment
Lack of detailed cancer treatment information (type, cumulative exposure, timing)
Self-reported variables for smoking, diet, physical activity, and sleep subject to recall bias
Uniform thresholds for blood pressure and LDL-C may not reflect individualized targets
Limited generalizability due to predominantly White UK population

Implication

Supports joint risk factor optimization in cancer survivors; extends observational data but remains hypothesis-generating pending trials.

Abstract

BACKGROUND: Cancer survivors have nearly twice the risk of coronary heart disease (CHD) compared with the general population. OBJECTIVES: We examined whether joint risk factor control was associated with cancer-related excess CHD risk and residual life expectancy. METHODS: We analyzed 14,557 cancer survivors and 58,228 matched noncancer controls from the UK Biobank. Risk factor control was defined across 9 domains: blood pressure, body mass index, low-density lipoprotein cholesterol, hemoglobin A1c, renal function, smoking, physical activity, diet, and sleep. Cox proportional hazards models estimated associations with CHD, myocardial infarction (MI), and cardiovascular disease (CVD) mortality; flexible parametric survival models assessed life expectancy. RESULTS: Over a median follow-up of 12.60 years, 1,298 CHD events, 348 MI events, and 211 CVD-related deaths occurred among cancer survivors. After adjustment for confounders, each additional controlled risk factor was associated with lower risks of CHD (HR: 0.85; 95% CI: 0.81-0.88), MI (HR: 0.81; 95% CI: 0.74-0.88), and CVD-related mortality (HR: 0.75; 95% CI: 0.67-0.84). Participants with ≥6 controlled risk factors had the lowest risks across cardiovascular outcomes. A higher degree of risk factor control was also associated with longer residual life expectancy at age 50 (33.83 vs 30.47 years in the ≥6 vs ≤ 3 controlled risk factor groups). CONCLUSIONS: The joint risk factor control is associated with a lower risk of CHD, MI, and CVD-related mortality among cancer survivors. Comprehensive assessment and optimization of modifiable risk factors may be clinically relevant for cardiovascular risk management in cardio-oncology survivorship care.

Discussion

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Cite This Study

Cai et al. (2026) conducted a cohort in Cancer survivors (n=72,785). Joint risk factor control (9 domains) vs. Lower degree of risk factor control (e.g., ≤3 controlled risk factors) was evaluated on Incident coronary heart disease (CHD) (HR 0.85, 95% CI 0.81-0.88, p=<0.001). Each additional controlled cardiovascular risk factor was associated with a 15% lower risk of incident coronary heart disease among cancer survivors.

synapsesocial.com/papers/6a5b3ac68167787360d24fa8 https://doi.org/10.1016/j.jacadv.2026.102968

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Comprehensive Risk Factor Profiles, Coronary Heart Disease, and Life Expectancy in Cancer Survivors

Figures

Key Points

Study Design

Structured PICO

Main Result

Limitations

Implication

Abstract

Discussion

Cite This Study

Comprehensive Risk Factor Profiles, Coronary Heart Disease, and Life Expectancy in Cancer Survivors

Figures

Key Points

Study Design

Structured PICO

Main Result

Limitations

Implication

Abstract

Discussion

Cite This Study

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