Higher risk of cardiovascular mortality than cancer mortality among long-term cancer survivors

Genetic Variants, Bioactive Compounds, and PCSK9 Inhibitors in Hyper-LDL-Cholesterolemia: A GWAS and In Silico Study on Cardiovascular Disease Risk

Background: Hyper-LDL-cholesterolemia is a key contributor to cardiovascular diseases (CVDs), and both genetic predisposition and lifestyle influence it. This study aimed to develop personalized strategies for managing hyper-LDL-cholesterolemia by integrating polygenic risk scores (PRSs), genetic variants, and bioactive compound interactions, leveraging a precision medicine approach. Methods: A cohort of 58,701 Korean adults, including 8966 individuals with hyper-LDL-cholesterolemia (LDL ≥ 160 mg/dL) or undergoing treatment with hypocholesterolemic agents, was analyzed to investigate the interplay between genetic risk and lifestyle factors. The PRS was constructed using three key variants: PCSK9 (rs151193009), CELSR2 (rs11102967), and APOE (rs7412). Gene-lifestyle interactions were assessed, focusing on energy intake and physical activity. Computational molecular docking was utilized to investigate how bioactive compounds differentially interact with the wild-type and mutant forms of PCSK9 (Arg93Cys) and APOE (Arg176Cys), focusing on variations in binding affinity. Results: Hyper-LDL-cholesterolemia was associated with a 1.3-fold increased risk of CVD. The PRS showed a significant association with a 3.45-fold higher likelihood of developing both elevated LDL cholesterol and reduced HDL cholesterol levels. Lifestyle interactions revealed that high energy intake and physical inactivity significantly amplified the genetic risk (p < 0.05). In silico analysis demonstrated that bioactive compounds, notably prodelphinidin trimer, exhibited enhanced binding affinity with wild-type PCSK9 (Arg93Cys), while several compounds preferentially targeted the mutated PCSK9, suggesting potential avenues for genotype-specific therapies. Conclusions: This study emphasizes the combined influence of genetic predispositions and lifestyle behaviors on developing hyper-LDL-cholesterolemia, and highlights potential bioactive compounds as personalized therapeutic targets. By integrating genomic data, lifestyle analysis, and molecular docking, this research provides a foundation for precision interventions tailored to an individual's genetic and metabolic profile, paving the way for more effective and personalized management of dyslipidemia and associated CVD risk.

Physical activity levels among long-term cancer survivors of more than 5 years: a propensity score matching analysis

PURPOSE

As both the number of long-term cancer survivors and cases of late cancer recurrence increased, understanding aspects of lifestyle, such as participation in physical activity (PA), is of importance among long-term cancer survivors. This study aimed to investigate PA levels among long-term cancer survivors compared with age-, sex-, and body mass index (BMI)-matched non-cancer participants.

METHODS

The study analyzed data from 648 cancer survivors (66% female, average age of 60.0 ± 10.9 years) who visited the Cancer Prevention Center, Yonsei Cancer Center, between 2015 and 2022. A total of 3240 participants were randomly selected from the Korea National Health and Nutrition Examination Survey (2000-2020) using propensity score matching based on age, sex, and BMI.

RESULTS

Among long-term cancer survivors, the majority of participants were survivors of colorectal (43.1%), gastric (23.8%), and breast cancer (24.1%). Long-term cancer survivors participated more in moderate-to-vigorous leisure-time PA (106.2 ± 244.3 vs. 47.3 ± 135.8 min/week, P < 0.05), transportation PA (130.3 ± 231.8 vs. 101.2 ± 174.9 min/week, P < 0.05), and total walking time (311.4 ± 380.1 vs. 227.6 ± 347.7 min/week, P < 0.05) compared with matched non-cancer participants. However, long-term cancer survivors were less likely to participate in less resistance exercises (0.7 ± 1.8 vs. 1.5 ± 1.5 day/week, P < 0.05) compared with the non-cancer matched participants. Although long-term cancer survivors are generally more physically active, a significant proportion of long-term cancer survivors (76.1%) still did not meet the PA guidelines for moderate-intensity aerobic exercise.

CONCLUSION

Although long-term cancer survivors participated in more PA compared to the matched non-cancer participants, the majority of long-term cancer survivors still do not meet the PA guidelines, suggesting that further strategies to increase PA are required.

Identifying common pathways for doxorubicin and carfilzomib-induced cardiotoxicities: transcriptomic and epigenetic profiling

Cancer therapy-related cardiovascular toxicity (CTR-CVT) is now recognised as one of the leading causes of long-term morbidity and mortality in cancer patients. To date, potential overlapping cardiotoxicity mechanism(s) across different chemotherapeutic classes have not been elucidated. Doxorubicin, an anthracycline, and Carfilzomib, a proteasome inhibitor, are both known to cause heart failure in some patients. Given this common cardiotoxic effect of these chemotherapies, we aimed to investigate differential and common mechanism(s) associated with Doxorubicin and Carfilzomib-induced cardiac dysfunction. Primary human cardiomyocyte-like cells (HCM-ls) were treated with 1 µM of either Doxorubicin or Carfilzomib for 72 h. Both Doxorubicin and Carfilzomib induced a significant reduction in HCM cell viability and cell damage. DNA methylation analysis performed using MethylationEPIC array showed distinct and common changes induced by Doxorubicin and Carfilzomib (10,270 or approximately 12.9% of the DMPs for either treatment overlapped). RNA-seq analyses identified 5,643 differentially expressed genes (DEGs) that were commonly dysregulated for both treatments. Pathway analysis revealed that the PI3K-Akt signalling pathway was the most significantly enriched pathway with common DEGs, shared between Doxorubicin and Carfilzomib. We identified that there are shared cardiotoxicity mechanisms for Doxorubicin and Carfilzomib pathways that can be potential therapeutic targets for treatments across 2 classes of anti-cancer agents.

Fitness, Body Composition, and Health Behaviors in Long-Term Survivors of Adolescent and Young Adult Cancers

Purpose: To investigate cardiorespiratory fitness (CRF), body composition, health behaviors, and health-related quality of life (HRQoL) in adolescent and young adult cancer survivors (AYA-CS) compared with age-matched counterparts without a cancer diagnosis. Methods: This cross-sectional study recruited participants aged 15-25 years at the time of their cancer diagnosis and ≥ 5 years post-treatment. Participants completed cardiopulmonary exercise testing, dual-energy X-ray absorptiometry, food diaries, physical activity (PA), fatigue, and HRQoL questionnaires. Results: We recruited 22 participants aged 27.9 (standard deviation [SD] 3.3) years (54.5% female) and 7.2 (SD 2.2) years post-treatment. AYA-CS had lower CRF compared with age-matched norms (female 27.1 vs. 39.1 mL/kg/min, p ≤ 0.0001; male: 39.7 vs. 45.6 mL/kg/min, p = 0.04). Bone mineral density Z-scores were all within normal ranges; however, male AYA-CS had higher body fat percentage (male: 27.1% vs. 21.2%, p = 0.01) and a trend toward higher body fat percentage in female AYA-CS (32.2% vs. 29.8%, p = 03). AYA-CS had lower HRQoL, with no difference observed with fatigue. A higher proportion of AYA-CS met recommendations for weekly PA (36.4% vs. 27.3%, p = 0.34) and daily servings of fruit and vegetables (13.6% vs. 3.9%, p = 0.02) compared with normative data, demonstrating better health behaviors. A higher proportion of AYA-CS reported one or more chronic diseases compared with Australian normative data (63.7% vs. 41.5%, p = 0.04). Conclusions: AYA-CS exhibit significantly lower CRF and unfavorable body composition to age-matched counterparts. These health outcomes may adversely impact everyday functional performance and increase the risk of multimorbidity development. Interventions are needed to address these issues to improve health outcomes in AYA-CS.

Mineralocorticoid Receptor in Endothelial Cells Contributes to Vascular Endothelial Growth Factor Receptor Inhibitor-Induced Vascular and Kidney Damage

BACKGROUND

Vascular endothelial growth factor receptor inhibitors (VEGFRis) improve cancer patient survival by inhibiting tumor angiogenesis. However, VEGFRis induce treatment-limiting hypertension which has been associated with impaired vascular endothelial cell (EC) function and kidney damage. The mineralocorticoid receptor (MR) regulates blood pressure (BP) via its effects on the vasculature and the kidney. Thus, we interrogated the role of the MR in EC dysfunction, renal impairment, and hypertension in a mouse model of VEGFRi-induced hypertension using sorafenib.

METHODS

EC dysfunction in mesenteric arterioles was assessed by immunoblotting for phosphorylation of endothelial nitric oxide synthase (eNOS) at serine 1177. Renal damage was measured by assessing glomerular endotheliosis histologically. BP was measured using implanted radiotelemetry.

RESULTS

Six days of sorafenib treatment significantly impaired mesenteric resistance vessel EC function, induced renal damage, and increased BP. Pharmacologic MR blockade with spironolactone prevented the sorafenib-induced decline in eNOS phosphorylation and renal glomerular endotheliosis, without affecting systolic BP (SBP) or diastolic BP. Mice with the MR knocked out specifically in ECs (EC-MR-KO) were protected from sorafenib-induced EC dysfunction and glomerular endotheliosis, whereas smooth muscle cell-specific MR (SMC-MR) knockout mice were not. Neither EC-MR nor SMC-MR knockout affected the degree to which sorafenib increased SBP or diastolic BP.

CONCLUSIONS

These results reveal that the MR, specifically in EC but not in SMCs, is necessary for VEGFRi-induced renal and vascular injury. While ineffective at lowering SBP, these data suggest potential therapeutic benefits of MR antagonists, like spironolactone, to protect the vasculature and the kidneys from VEGFRi-induced injury.

Multilevel factors influence the use of a cardiovascular disease assessment tool embedded in the electronic health record in oncology care

Digital health tools are positive for delivering evidence-based care. However, few studies have applied rigorous frameworks to understand their use in community settings. This study aimed to identify implementation determinants of the Automated Heart-Health Assessment (AH-HA) tool within outpatient oncology settings as part of a hybrid effectiveness-implementation trial. A mixed-methods approach informed by the Consolidated Framework for Implementation Research (CFIR) examined barriers and facilitators to AH-HA implementation in four NCI Community Oncology Research Program (NCORP) practices participating in the WF-1804CD AH-HA trial. Provider surveys were analyzed using descriptive statistics. Interviews with providers (n = 15) were coded using deductive (CFIR) and inductive codes by trained analysts. The CFIR rating tool was used to rate each quote for (i) valence, defined as a positive (+) or negative (-) influence, and (ii) strength, defined as a neutral (0), weak (1), or strong (2) influence on implementation. All providers considered discussing cardiovascular health with patients as important (61.5%, n = 8/13) or somewhat important (38.5%, n = 5/13). The tool was well-received by providers and was feasible to use in routine care among cancer survivors. Providers felt the tool was acceptable and usable, had a relative advantage over routine care, and had the potential to generate benefits for patients. Common reasons clinicians reported not using AH-HA were (i) insufficient time and (ii) the tool interfering with workflow. Systematically identifying implementation determinants from this study will guide the broader dissemination of the AH-HA tool across clinical settings and inform implementation strategies for future scale-up hybrid trials.

Cardiovascular death risk in patients with solid tumors: a population-based study in the United States

BACKGROUND

Previous studies have focused on the risk of cardiovascular disease (CVD)-specific death in hematological cancers and in some single anatomical tumor sites, there remains a paucity of data on systematic analyses in solid tumors.

OBJECTIVE

The objective of this study is to evaluate the distribution, risk, and trends of CVD-specific death in patients with solid tumors.

METHODS

A total of 2 679 293 patients with solid tumors diagnosed between 1975 and 2019 were screened from the Surveillance, Epidemiology and End Results (SEER) program across 15 anatomical sites. Standardized mortality ratios (SMRs) and absolute excess risks (AERs) were used to describe the intensity of CVD-specific death, competing risk regression models were used to assess the risk of CVD-specific death, and restricted cubic spline analyses were employed to investigate the potential linear or nonlinear relationship between age and CVD death.

RESULTS

CVD-specific death in patients with solid tumors accounted for 48.95% of non-cancer deaths. Compared with the general population, patients with solid tumors had higher SMR and AER of CVD death (SMR: 1.15; AER: 21.12), heart disease-related death (SMR: 1.13; AER: 13.96), and cerebrovascular disease-related death (SMR: 1.20; AER: 4.85). Additionally, the SMR exhibited a decreasing trend with increasing time to diagnosis. Furthermore, a nonlinear relationship was observed between age and CVD-specific death in patients with solid tumors of different systems.

CONCLUSION

CVD-specific death accounted for a large proportion of the cause of non-cancer deaths. Patients with solid tumors exhibit an elevated risk of CVD-specific death. Screening for CVD death and optimizing risk management in patients with solid tumors throughout anticancer treatment may be beneficial in preventing CVD death.

Differential cardiac impacts of hematological malignancies and solid tumors: a histopathological and biomarker study

BACKGROUND

Cancer patients are known to be associated with increased risk of cardiovascular disease. However, no studies have examined the differential impact of hematologic malignancies (HMs) and solid tumors (STs) on cardiac morphology at the tissue level.

OBJECTIVE

We aimed to examine histopathological features alongside cardiovascular biomarkers in patients with HMs and STs who underwent post-mortem evaluation.

METHODS

We analyzed cardiac changes in 198 patients with HMs and 164 patients with solid tumors STs. We compared demographics, echocardiogram data, exposure to various antineoplastic agents, and post-mortem findings. Additionally, cardiac histological validation was conducted on post-mortem cardiac specimens to examine cardiac tissue morphology, focusing on cardiomyocyte nuclear density, collagen content, and collagen fiber orientation.

RESULTS

HM patients displayed significantly disordered collagen fiber alignment (0.71 vs 0.83, P = 0.027), and reduced cardiomyocyte nuclear density (56 vs 72, P = 0.002) compared to ST patients. Similarly, hemoglobin level was decreased (6.71 vs 8.06, P < 0.001) in HM patients compared to ST patients. HM patients also showed elevated B-type natriuretic peptide levels (2,275 vs 867, P < 0.001), without significant differences in creatine-kinase MB and cardiac troponin levels. Multivariate analysis identified increased right ventricular thickness, low diastolic blood pressure, and high cardiac troponin levels as risk factors for cardiac death in HM patients.

CONCLUSIONS

This study demonstrates that HM patients have fewer cardiomyocyte nuclei and poorly aligned collagen, with serum biomarker evidence of increased cardiac dysfunction. This supports the necessity for specialized cardiac care for these patients.

New cardiovascular biomarkers in patients with advanced cancer - A prospective study comparing MR-proADM, MR-proANP, copeptin, high-sensitivity troponin T and NT-proBNP

AIMS

Traditional cardiovascular (CV) biomarkers (high-sensitivity troponinT [hsTnT] and N-terminal pro-B-type natriuretic peptide [NT-proBNP]) are important to monitor cancer patients' cardiac function and to assess prognosis. Newer CV biomarkers (mid-regional pro-adrenomedullin [MR-proADM], C-terminal pro-arginine vasopressin [copeptin], and mid-regional pro-atrial natriuretic peptide [MR-proANP]) might outperform traditional biomarkers.

METHODS AND RESULTS

Overall, 442 hospitalized cancer patients without significant CV disease or current infection were enrolled (61 ± 15 years, 52% male, advanced cancer stage: 85%) and concentrations of CV biomarkers were analysed. Differences in echocardiographic, clinical, laboratory parameters were assessed. Patients were followed for up to 69 months for all-cause mortality. In univariable analyses, MR-proADM, hsTnT, copeptin, MR-proANP, and NT-proBNP predicted all-cause mortality. In multivariable analyses (adjusted for sex, age, Eastern Cooperative Oncology Group performance status, estimated glomerular filtration rate [eGFR], C-reactive protein, anti-cancer therapy, reason for hospitalization, cancer stage and type), only MR-proADM remained an independent predictor of mortality (MR-proADM per 1 ln: hazard ratio [HR] 2.27, 95% confidence interval [CI] 1.47-3.50], p < 0.001). MR-proADM had the highest area under the curve (AUC) using receiver operating characteristic analysis (AUC [95% CI] 0.74 [0.69-0.79]; hsTnT: AUC 0.69; copeptin: AUC 0.66; MR-proANP: AUC 0.63; NT-proBNP: AUC 0.62). Optimal cut-point for mortality prediction with MR-proADM was 0.94 nmol/L (HR 2.43 [95% CI 1.92-3.06], p < 0.001). Patients with MR-proADM >0.94 nmol/L were older, more often had cancer stage IV, showed reduced performance status, eGFR, haemoglobin, diastolic left ventricular function, and elevated systolic pulmonary artery pressure.

CONCLUSION

MR-proADM is an independent predictor of mortality in advanced stage, hospitalized cancer patients without significant CV disease or current infection. The optimal MR-proADM cut-point for mortality prediction was 0.94 nmol/L with hazards for mortality being approximately 2.5 times higher. There was a continuous increase in mortality risk with stepwise increase of MR-proADM concentrations. Elevated concentrations of MR-proADM were also associated with reduced performance status and mildly reduced left ventricular diastolic function as well as higher age and more often cancer stage IV.

Long-Term Risks of Cardiovascular Death among Older Patients with Major Hematological Malignancies: A Population-Based Cohort Study from SEER Database

BACKGROUND

The objective of this study was to identify the risk of cardiovascular disease (CVD)-related death in older patients with major hematological malignancies (HM).

METHODS

This study included 103,102 older patients diagnosed with seven major types of HM between 1975 and 2018 (median follow-up: 2.7 years) from the Surveillance, Epidemiology, and End Result database. The proportion of deaths, Fine-Gray subdistribution hazards regression model, standardized mortality ratios (SMR), and absolute excess risk (AER) were used to evaluate the risk of CVD-related death.

RESULTS

For older patients with HM, CVD-related death ranked as the second leading cause of death, surpassed only by primary malignancy. Compared to the general older population, older patients with HM had higher SMR and AER of CVD-related deaths (SMR: 1.16-1.81; AER: 41.24-308.99), heart disease-related deaths (SMR: 1.19-1.90; AER: 39.23-274.69), and cerebrovascular disease-related deaths (SMR: 0.99-1.66; AER: -0.35 to 24.15). The proportion of deaths and cumulative mortality increased with the passage of survival time, especially in patients with Hodgkin lymphoma with stage I/II and those aged ≥85 years with chronic lymphocytic leukemia, surpassing primary malignancy. The risk of CVD-related death varied among different HM types.

CONCLUSIONS

For older patients with HM, long-term cardiovascular risk management needs to be focused on while addressing the primary malignancy.

IMPACT

Our results emphasize the need to manage long-term cardiovascular risk in older patients with hematological malignancies, especially in those identified as high-risk cases.

A Computational Predictor for Accurate Identification of Tumor Homing Peptides by Integrating Sequential and Deep BiLSTM Features

Cancer remains a severe illness, and current research indicates that tumor homing peptides (THPs) play an important part in cancer therapy. The identification of THPs can provide crucial insights for drug-discovery and pharmaceutical industries as they allow for tailored medication delivery towards cancer cells. These peptides have a high affinity enabling particular receptors present upon tumor surfaces, allowing for the creation of precision medications that reduce off-target consequences and enhance cancer patient treatment results. Wet-lab techniques are considered essential tools for studying THPs; however, they're labor-extensive and time-consuming, therefore making prediction of THPs a challenging task for the researchers. Computational-techniques, on the other hand, are considered significant tools in identifying THPs according to the sequence data. Despite many strategies have been presented to predict new THP, there is still a need to develop a robust method with higher rates of success. In this paper, we developed a novel framework, THP-DF, for accurately identifying THPs on a large-scale. Firstly, the peptide sequences are encoded through various sequential features. Secondly, each feature is passed to BiLSTM and attention layers to extract simplified deep features. Finally, an ensemble-framework is formed via integrating sequential- and deep features which are fed to a support vector machine which with 10-fold cross-validation to carry to validate the efficiency. The experimental results showed that THP-DF worked better on both [Formula: see text] and [Formula: see text] datasets by achieving accuracy of > 95% which are higher than existing predictors both datasets. This indicates that the proposed predictor could be a beneficial tool to precisely and rapidly identify THPs and will contribute to the cutting-edge cancer treatment strategies and pharmaceuticals.

Chest Computed Tomography for Lymphoma Staging: A Wasted Opportunity for Cardiovascular Risk Stratification?

AIM

Patients with a lymphoma diagnosis undergo non-gated chest computed tomography (CT) scans as part of cancer diagnosis or staging. Although coronary artery calcification (CAC) is traditionally evaluated on dedicated cardiac CT, CAC can also be detected on standard chest CT. This exploratory study aimed to determine the prognostic value of CAC detected on non-gated chest CT and to report its use on clinical practice.

METHOD

Consecutive patients with a lymphoma diagnosis who performed non-contrasted non-gated chest CT for cancer diagnosis or staging were included and retrospectively evaluated. Coronary artery calcification was evaluated by quantitative (Agatston score) and qualitative (visual) assessment.

RESULTS

Fifty-seven patients were included in this study (mean age 61±15 years; 58% male). Coronary artery calcification was identified in 22 patients (39%), most of them with multi-vessel involvement. Coronary artery calcification was qualitatively classified as mild, moderate and severe in 11%, 19% and 9% patients, respectively. This study suggested that moderate or severe CAC was an independent predictor of all-cause mortality (odds ratio 3, 95% confidence interval 2-11; p=0.04) after adjusting for cardiovascular risk factors and lymphoma staging. Regarding quantitative evaluation, a higher CAC score was also associated with higher mortality. While significant CAC was identified in 22 patients, it was only reported in four patients.

CONCLUSIONS

The preliminary findings of this hypothesis-generating study support the investigation of CAC identified by chest CT for diagnosis/staging of cancer as a risk modifier in the global risk assessment of patients with lymphoma. The unrecognition and underreporting of this finding may represent a wasted opportunity to detect subclinical coronary atherosclerosis in these patients and may help in guiding preventive cardiology care.

Cardio-oncology rehabilitation: are we ready?

Cardio-oncology rehabilitation (CORE) is not only an essential component of cancer rehabilitation but also a pillar of preventive cardio-oncology. Cardio-oncology rehabilitation is a comprehensive model based on a multitargeted approach and its efficacy has been widely documented; when compared with an 'exercise only' programme, comprehensive CORE demonstrates a better outcome. It involves nutritional counselling, psychological support, and cardiovascular (CV) risk assessment, and it is directed to a very demanding population with a heavy burden of CV diseases driven by physical inactivity, cancer therapy-induced metabolic derangements, and cancer therapy-related CV toxicities. Despite its usefulness, CORE is still underused in cancer patients and we are still at the dawning of remote models of rehabilitation (tele-rehabilitation). Not all CORE is created equally: a careful screening procedure to identify patients who will benefit the most from CORE and a multidisciplinary customized approach are mandatory to achieve a better outcome for cancer survivors throughout their cancer journey. The aim of this paper is to provide an updated review of CORE not only for cardiologists dealing with this peculiar population of patients but also for oncologists, primary care providers, patients, and caregivers. This multidisciplinary team should help cancer patients to maintain a healthy and active life before, during, and after cancer treatment, in order to improve quality of life and to fight health inequities.

Competing risk analysis of cardiovascular mortality in multiple myeloma survivors

Background

The survival of multiple myeloma (MM) patients has significantly improved, and several factors increase the risk of cardiovascular death (CVD) mortality in MM. This study aims to determine the prognostic significance of factors associated with long-term CVD risk in MM survivors.

Methods

The data of MM survivors whose survival time was longer than 36 months were retrieved from the Surveillance, Epidemiology, and End Result (SEER) database between 2000 and 2015. Cox proportional hazards regressions and competing risk survival analyses were utilized to assess the CVD-associated risk factors. Propensity score matching (PSM) was further conducted to ensure the comparability of cardiovascular risk factors. The nomogram was based on these epidemiological factors to estimate individualized CVD probabilities for MM survivors, and its performance was assessed by Harrell's concordance index (C-index) and calibration curve.

Results

A total of 32,528 survivors with MM were enrolled, and 2,061 (6.34%) suffered from CVD. In Cox proportional hazards regressions and competing risk survival analyses, age, period of diagnosis, sex, race, married status, income, chemotherapy, and radiotherapy were the independent risk factors for CVD. After PSM, there was a significant difference in cumulative incidence curves, using a competing-risks method, between the following matched groups: male vs. female group, white vs. non-white group, married vs. unmarried group, income <$75,000 vs. income ≥$75,000 group, chemotherapy vs. non-chemotherapy group, and radiotherapy vs. non-radiotherapy group. The nomogram predicted CVD probabilities with a training C-index of 0.700 and a validation C-index of 0.726. Calibration curves validated that the nomograms could accurately predict the CVD probabilities both in the training and validation group.

Conclusions

Among MM survivors, the mortality risk of cardiovascular diseases differs with age, sex, period at diagnosis, race/ethnicity, marital status, chemotherapy, and radiotherapy. Our nomograms, based on epidemiological variables, may be used to predict 5-, 10-, and 15-year cardiovascular disease outcomes of MM survivors.

Analysis of competing risks of cardiovascular death in patients with hepatocellular carcinoma: A population-based study

Clinical data has shown that cardiovascular diseases (CVDs) have emerged as a prominent cause of mortality in individuals with hepatocellular carcinoma (HCC). This research aimed to reveal the comorbid effects of CVDs in patients with HCC. The cardiovascular mortality of patients diagnosed with HCC between 2000 and 2014 was compared to that of the general US population. Standardized mortality ratios were calculated to quantify the relative risk of cardiovascular mortality in HCC patients. The cumulative incidence of cardiovascular death (CVD) was estimated using Fine-Gray testing, and independent risk factors for CVD were determined using competing risk models. The results were analyzed using the Kaplan-Meier analysis. The overall SMR for CVD in HCC patients was 11.15 (95% CI: 10.99-11.32). The risk of CVD was significantly higher in patients aged < 55 years (SMR: 56.19 [95% CI: 54.97-57.44]) compared to those aged ≥ 75 years (SMR: 1.86 [95% CI: 1.75-1.97]). This study suggests that patients with HCC are at significant risk of developing CVD. Competing risk analyses indicated that age, grade, tumor size, surveillance, epidemiology, and end results stage, and surgical status were independent risk factors for CVD in patients with HCC. Therefore, patients with HCC require enhanced preventive screening and management of CVDs during and after treatment to improve patient survival.

Competing risk analysis of cardiovascular-specific mortality in typical carcinoid neoplasms of the lung: A SEER database analysis

Cardiovascular mortality (CVM) is a growing concern for cancer survivors. This study aimed to investigate the mortality patterns of individuals with typical carcinoid (TC) tumors, identify independent predictors of CVM, and compare these risk variables with those associated with TC deaths. The Surveillance, Epidemiology, and End Results (SEER) database from 2000 to 2019 was utilized for obtaining data on patients with TC. Standardized mortality rates were employed to evaluate the risk of CVM while multivariate competing risk models were used to determine the association between patient characteristics and the probability of CVM or TC-related deaths. Our findings show that TC patients had an increased risk of CVM, with an standardized mortality rates of 1.12 (95% CI:1.01-1.25). Furthermore, we discovered that age at diagnosis, marital status, year of diagnosis, SEER stage, site, year of diagnosis, surgery, radiotherapy, and chemotherapy all contributed independently to the risk of CVM in patients with TC, whereas age at diagnosis, sex, race, SEER stage, site, year of diagnosis, surgery, radiotherapy, and chemotherapy all contributed significantly to TC mortality. Compared to the general population in the United States, patients with TC are significantly more likely to acquire CVM. Timely introduction of cardioprotective treatments is critical for preventing CVM in patients with TC.