Temporal trends, ethnic determinants, and short-term and long-term risk of cardiac death in cancer patients: a cohort study

Non-cancer-related Deaths in Cancer Survivors: A Nationwide Population-Based Study in Japan

BACKGROUND

Advancements in cancer care have improved survivorship, potentially leading to changes in mortality causes. This study aimed to investigate the causes of death among cancer survivors, specially focusing on non-cancer-related mortality.

METHODS

This nationwide population-based cohort study analyzed the causes of death based on the time since cancer diagnosis using data from the National Cancer Registry in Japan between January 2016 and December 2019. Non-cancer-related deaths were identified, and mortality risks associated with non-cancer diseases were compared to those of the Japanese general population using standardized mortality ratios (SMRs) with 95% confidence intervals (CIs). Follow-up period was up to 4 years after cancer diagnosis.

RESULTS

A total of 3,990,661 patients (45.8%, women) were included in the analysis, yielding 6,237,269 person-years of follow-up. Of these, 1,001,857 (25.1%) patients died during the study period. Cancer-related and non-cancer-related causes accounted for 86.6% and 13.4% of deaths, respectively. The proportion of non-cancer-related deaths increased from 10.2% at 6 months to 31.6% at 4 years after cancer diagnosis. Heart disease (21.8%), cerebrovascular disease (9.8%), and pneumonia (9.1%) were the leading cause of non-cancer-related deaths: The SMRs for these diseases were 2.69 (95% CI, 2.66-2.72), 2.07 (95% CI, 2.03-2.10), and 2.41 (95% CI, 2.36-2.45), respectively. The SMR for suicide was 1.81 (95% CI, 1.74-1.89); however, it lost significance in males and females 2 and 2.5 years after cancer diagnosis, respectively.

CONCLUSIONS

The proportion of non-cancer-related deaths among cancer patients has increased over time, emphasizing the need to manage cancer and its comorbidities carefully.

Identification of Co-diagnostic Genes for Heart Failure and Hepatocellular Carcinoma Through WGCNA and Machine Learning Algorithms

This research delves into the intricate relationship between hepatocellular carcinoma (HCC) and heart failure (HF) by exploring shared genetic characteristics and molecular processes. Employing advanced methodologies such as differential analysis, weighted correlation network analysis (WGCNA), and algorithms like Random Forest (RF), Least Absolute Shrinkage Selection (LASSO), and XGBoost, we meticulously identified modular differential genes (DEGs) associated with both HF and HCC. Gene Set Variation Analysis (GSVA) and single sample gene set enrichment analysis (ssGSEA) were employed to unveil underlying biological mechanisms. The study revealed 88 core genes shared between HF and HCC, indicating a common mechanism. Enrichment analysis emphasized the roles of immune responses and inflammation in both diseases. Leveraging XGBoost, we crafted a robust multigene diagnostic model (including FCN3, MAP2K1, AP3M2, CDH19) with an area under the curve (AUC) > 0.9, showcasing exceptional predictive accuracy. GSVA and ssGSEA analyses unveiled the involvement of immune cells and metabolic pathways in the pathogenesis of HF and HCC. This research uncovers a pivotal interplay between HF and HCC, highlighting shared pathways and key genes, offering promising insights for future clinical treatments and experimental research endeavors.

Disparities in Cardiovascular Disease-Related Outcomes Among Cancer Survivors in the United States: A Systematic Review of the Literature

BACKGROUND

Cancer and cardiovascular disease (CVD) are major causes of morbidity and mortality in the United States (US). Cancer survivors have increased risks for CVD and CVD-related mortality due to multiple factors including cancer treatment-related cardiotoxicity. Disparities are rooted in differential exposure to risk factors and social determinants of health (SDOH), including systemic racism. This review aimed to assess SDOH's role in disparities, document CVD-related disparities among US cancer survivors, and identify literature gaps for future research.

METHODS

Following the Peer Review of Electronic Search Strategies (PRESS) guidelines, MEDLINE, PsycINFO, and Scopus were searched on March 15, 2021, with an update conducted on September 26, 2023. Articles screening was performed using the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) 2020, a pre-defined Population, Exposure, Comparison, Outcomes, and Settings (PECOS) framework, and the Rayyan platform. A modified version of the Newcastle-Ottawa Scale was used to assess the risk of bias, and RAW Graphs for alluvial charts. This review is registered with PROSPERO under ID #CRD42021236460.

RESULTS

Out of 7,719 retrieved articles, 24 were included, and discussed diverse SDOH that contribute to CVD-related disparities among cancer survivors. The 24 included studies had a large combined total sample size (n=7,704,645; median=19,707). While various disparities have been investigated, including rural-urban, sex, socioeconomic status, and age, a notable observation is that non-Hispanic Black cancer survivors experience disproportionately adverse CVD outcomes when compared to non-Hispanic White survivors. This underscores historical racism and discrimination against non-Hispanic Black individuals as fundamental drivers of CVD-related disparities.

CONCLUSIONS

Stakeholders should work to eliminate the root causes of disparities. Clinicians should increase screening for risk factors that exacerbate CVD-related disparities among cancer survivors. Researchers should prioritise the investigation of systemic factors driving disparities in cancer and CVD and develop innovative interventions to mitigate risk in cancer 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.

Risk of chronic liver disease and cirrhosis mortality among patients with digestive system cancers: a registry-based analysis

Non-cancer deaths are now becoming a great threat to the health of cancer survivors. There are no comprehensive and systematic reports on chronic liver disease and cirrhosis mortality (CLDCM) among patients with digestive system cancers (DSCs). This research aimed to quantitatively assess the risks and patterns of CLDCM among patients with DSCs. From the surveillance, epidemiology and end results (SEER) program, we extracted the data of patients diagnosed with DSCs between 2000 and 2017. Trends in incidence-based mortality rate (IBMR) were calculated using Joinpoint software. The standardized mortality ratio (SMR) was obtained based on the reference of the general United States population. The cumulative incidence function curves were constructed by all causes of death. Independent indicators were identified using the multivariate Fine and Gray competing risk model. We included 906,292 eligible patients from the SEER program, of which 3068 (0.34%) died from chronic liver disease and cirrhosis (CLDC). The IBMR of CLDC continued to increase during the study period [average annual percent change (APC): 6.7%; 95% confidence interval (CI) 5.1-8.2] and the SMR was significantly increased (SMR: 3.19; 95% CI 3.08-3.30). The cumulative mortality of CLDC was the lowest in all causes of death. Furthermore, the age at diagnosis, race, gender, marital status, year of diagnosis, SEER stage, surgery, chemotherapy and radiotherapy were identified as independent indicators. Better screening, diagnostic and management approaches need to be implemented as a preferred method to protect the liver among patients with DSCs.

Epidemiology and nomogram of pediatric and young adulthood osteosarcoma patients with synchronous lung metastasis: A SEER analysis

BACKGROUND

Patients with osteosarcoma and synchronous lung metastasis (SLM) have poor survival. This study aimed to explore the epidemiology data and construct a predictive nomogram to identify cases at risk of SLM occurrence among pediatric and young adulthood osteosarcoma patients.

METHODS

All data were extracted from Surveillance, Epidemiology, and End Results 17 registries. The age-standardized incidence rate (ASIR) and annual percentage change was evaluated, and reported for the overall population and by age, gender, race, and primary site. Univariate and multivariate logistic regression analyses were used to identify risk factors associated with SLM occurrence, then significant factors were used to develop the nomogram. The area under the receiver operating characteristic curve (AUC) and calibration curve were used to evaluated the predictive power of the nomogram. Survival analysis was assessed by the Kaplan-Meier method and the log-rank test. Multivariate Cox analysis was used to determine the prognostic factors.

RESULTS

A total of 278 out of 1965 patients (14.1%) presented with SLM at diagnosis. The ASIR increased significant from 0.46 to 0.66 per 1,000,000 person-years from year 2010 to 2019, with an annual percentage change of 3.5, mainly in patients with age 10-19 years, male and appendicular location. All patients were randomly assigned into train cohort and validation cohort with a spilt of 7:3. In the train cohort, higher tumor grade, bigger tumor size, positive lymph nodes and other site-specific metastases (SSM) were identified as significant risk factors associated with SLM occurrence. Then a nomogram was developed based on the four factors. The AUC and calibration curve in both train and validation cohorts demonstrated that the nomogram had moderate predictive power. The median cancer-specific survival was 25 months. Patients with age 20-39 years, male, positive lymph nodes, other SSM were adverse prognostic factors, while surgery was protective factor.

CONCLUSIONS

This study performed a comprehensive analysis regarding pediatric and young adulthood osteosarcoma patients had SLM. A visual, clinically operable, and easy-to-interpret nomogram model was developed for predicting the risk of SLM, which could be used in clinic and help clinicians make better decisions.

Inequity in care delivery in cardio-oncology: dissecting disparities in underrepresented populations

It is well known that patients with cancer have a significantly higher cardiovascular mortality risk than the general population. Cardio-oncology has emerged to focus on these issues including risk reduction, detection, monitoring, and treatment of cardiovascular disease or complications in patients with cancer. The rapid advances in early detection and drug development in oncology, along with socioeconomic differences, racial inequities, lack of support, and barriers to accessing quality medical care, have created disparities in various marginalized populations. In this review, we will discuss the factors contributing to disparities in cardio-oncologic care in distinct populations, including Hispanic/Latinx, Black, Asian and Pacific Islander, indigenous populations, sex and gender minorities, and immigrants. Some factors that contribute to differences in outcomes in cardio-oncology include the prevalence of cancer screening rates, genetic cardiac/oncologic risk factors, cultural stressors, tobacco exposure rates, and physical inactivity. We will also discuss the barriers to cardio-oncologic care in these communities from the racial and socioeconomic context. Appropriate and timely cardiovascular and cancer care in minority groups is a critical component in addressing these disparities, and there need to be urgent efforts to address this widening gap.

Causes of Death Among Patients With Metastatic Prostate Cancer in the US From 2000 to 2016

IMPORTANCE

Owing to improved survival among US patients with prostate cancer (PC), patients tend to live long enough after a PC diagnosis for non-cancer-related comorbidities to be associated with their overall survival. Although studies have investigated causes of death among patients with localized PC, data are lacking regarding causes of death among patients with metastatic PC.

OBJECTIVE

To assess causes of death among US patients with metastatic PC from 2000 to 2016.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study used data from the Surveillance, Epidemiology, and End Results Program database to analyze a sample of 26 168 US men who received a diagnosis of metastatic PC from January 1, 2000, to December 31, 2016. Data were analyzed from February 2 to July 28, 2020.

EXPOSURE

Diagnosis of metastatic PC.

MAIN OUTCOMES AND MEASURES

Standardized mortality ratios (SMRs) for different causes of death were calculated by dividing the observed number of deaths from each cause of death by the expected number of deaths in the age-matched US male population for the same period, adjusting for age and race/ethnicity.

RESULTS

Of 26 168 patients with metastatic PC included in the analysis, 48.9% were aged 50 to 70 years (mean age at diagnosis, 70.83 years); 74.5% were White individuals, and 72.7% received a diagnosis of stage M1b metastatic PC. A total of 16 732 patients (63.9%) died during the follow-up period. The mean age at death was 74.13 years. Most deaths (59.0%) occurred within the latency period of 2 years after diagnosis of metastatic PC, whereas 31.6% occurred 2 to 5 years after diagnosis and 9.4% occurred more than 5 years after diagnosis. Of the total deaths, 13 011 (77.8%) were from PC, 924 (5.5%) were from other cancers, and 2797 (16.7%) were from noncancer causes. During all latency periods, the most common noncancer causes of death were cardiovascular diseases (SMR, 1.34; 95% CI, 1.26-1.42), chronic obstructive pulmonary disease (SMR, 1.19; 95% CI, 1.03-1.36), and cerebrovascular diseases (SMR, 1.31; 95% CI, 1.13-1.50).

CONCLUSIONS AND RELEVANCE

In this cohort study, deaths from noncancer causes, including cardiovascular disease, constituted a substantial number of deaths among men with metastatic PC. Therapy and follow-up should be tailored to the needs of each patient with metastatic PC, and counseling regarding future health risks should be provided.

Causes of Death Following Nonmetastatic Colorectal Cancer Diagnosis in the U.S.: A Population-Based Analysis

INTRODUCTION

Because of the improved colorectal cancer (CRC) survival in the U.S., patients may live long enough after CRC diagnosis to the point where non-cancer-related comorbidities may considerably impact their overall survival. In this study, we perform a long-term analysis of causes of death (CODs) following nonmetastatic CRC with respect to different demographic and tumor-related criteria.

MATERIALS AND METHODS

We gained access to the Surveillance, Epidemiology, and End Results data to review patients diagnosed with nonmetastatic CRC during 2000-2015. We calculated standardized mortality ratios (SMRs) for each COD following CRC. SMRs represented the change of risk of a specific COD following CRC diagnoses when compared with the risk in the general U.S.

POPULATION

RESULTS

We reviewed 302,345 patients, of whom 112,008 died during the study period. More deaths (68.3%) occurred within 5 years following nonmetastatic CRC diagnosis, with 76,486 deaths. CRC was the most common COD (51.4%) within 5 years of diagnosis followed by heart disease (15.2%) and other cancers (8.4%). As time passed after diagnosis, the number of CRC deaths decreased, and other noncancer causes increased to the point that after 10 years only 10.4% of deaths were attributed to CRC, 15.3% were attributed to other cancers, and 34.2% were secondary to heart disease.

CONCLUSION

Following nonmetastatic CRC diagnosis, most deaths remain secondary to CRC. Other causes, including other cancers and cardiovascular disease, represent a significant number of deaths, especially in the 5 years following initial CRC diagnosis. Our findings help guide counseling patients with CRC regarding future health risks.

IMPLICATIONS FOR PRACTICE

Most common causes of death following nonmetastatic colorectal cancer (CRC) are heart diseases, other cancers, chronic obstructive pulmonary disease, and cerebrovascular diseases. Physicians should counsel patients regarding survivorship with cancer screening and focus on prevention of noncancer deaths. These findings should be considered by physicians who give care for survivors of nonmetastatic CRC.

Cardiovascular Mortality Risk among Patients with Gastroenteropancreatic Neuroendocrine Neoplasms: A Registry-Based Analysis

Background

This research is aimed to explore mortality patterns and quantitatively assess the risks of cardiovascular mortality (CVM) in patients with primary gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs).

Methods

We extracted data from the Surveillance, Epidemiology, and End Results (SEER) database for patients diagnosed with GEP-NENs between 2000 and 2015. The standardized mortality ratio (SMR) and the absolute excess risk were obtained based on the reference of the general US population. The cumulative incidence function curves were constructed for all causes of death. Predictors for CVM were identified using a multivariate competing risk model.

Results

Overall, 42027 patients were enrolled from the SEER database, of whom 1598 (3.8%) died from cardiovascular disease (CVD). The SMR for CVM was 1.20 (95% CI: 1.14-1.26) among GEP-NEN patients. The cumulative mortality of CVD was the lowest among all causes of death, including primary cancer, other cancer, and other noncancer diseases. Furthermore, age at diagnosis, race, Hispanic origin, sex, marital status, year of diagnosis, grade, education level, region, SEER stage, primary site, surgery, and chemotherapy were identified as independent predictors of CVM in GEP-NEN patients.

Conclusions

GEP-NEN patients have a significantly increased risk of CVM relative to the general population. Cardioprotective interventions might be considered a preferred method for these patients.

Predict multicategory causes of death in lung cancer patients using clinicopathologic factors

BACKGROUND

Random forests (RF) is a widely used machine-learning algorithm, and outperforms many other machine learning algorithms in prediction-accuracy. But it is rarely used for predicting causes of death (COD) in cancer patients. On the other hand, multicategory COD are difficult to classify in lung cancer patients, largely because they have multiple labels (versus binary labels).

METHODS

We tuned RF algorithms to classify 5-category COD among the lung cancer patients in the surveillance, epidemiology and end results-18, whose lung cancers were diagnosed in 2004, for the completeness in their follow-up. The patients were randomly divided into training and validation sets (1:1 and 4:1 sample-splits). We compared the prediction accuracy of the tuned RF and multinomial logistic regression (MLR) models.

RESULTS

We included 42,257 qualified lung cancers in the database. The COD were lung cancer (72.41%), other causes or alive (14.43%), non-lung cancer (6.85%), cardiovascular disease (5.35%), and infection (0.96%). The tuned RF model with 300 iterations and 10 variables outperformed the MLR model (accuracy = 69.8% vs 64.6%, 1:1 sample-split), while 4:1 sample-split produced lower prediction-accuracy than 1:1 sample-split. The top-10 important factors in the RF model were sex, chemotherapy status, age (65+ vs < 65 years), radiotherapy status, nodal status, T category, histology type and laterality, all of which except T category and laterality were also important in MLR model.

CONCLUSION

We tuned RF models to predict 5-category CODs in lung cancer patients, and show RF outperforms MLR in prediction accuracy. We also identified the factors associated with these COD.

The incidence, risk factors and predictive nomograms for early death among patients with stage IV gastric cancer: a population-based study

Background

Although advances in the treatment of stage IV gastric cancer (GC) patients, some patients were observed to die within 3 months of initial diagnosis. The present study aimed to explore the early mortality and risk factors for stage IV GC and further develop nomograms.

Methods

A total of 2,174 eligible stage IV GC patients were selected from the Surveillance, Epidemiology, and End Results database. Logistic regression analyses were used to determine the risk factors and develop the nomograms to predict all-cause early death and cancer-specific early death. The predictive performance of the nomograms was assessed by receiver operating characteristic curves (ROC), calibration plots and decision curve analyses (DCA) in both training and validation cohorts.

Results

Of 2,174 patients enrolled, 708 died within 3 months of initial diagnosis (n=668 for cancer-specific early death). Early mortality remained stable from 2010-2015. Non-Asian or Pacific Islander (API) race, poorer differentiation, middle sites of the stomach, no surgery, no radiotherapy, no chemotherapy, lung metastases and liver metastases were associated with high risk of both all-causes early death and cancer-specific early death. The nomograms constructed based on these factors showed favorable sensitivity, with the area under the ROC range of 0.816-0.847. The calibration curves and DCAs also exhibited adequate fit and ideal net benefit in prediction and clinical application.

Conclusions

Approximately one-third of stage IV GC patients experienced early death. These associated risk factors and predictive nomograms may help clinicians identify the patients at high risk of early death and be the reference for treatment choices.

Temporal trends of incidence and mortality in Asian-Americans with pancreatic adenocarcinoma: an epidemiological study

Background

Pancreatic cancer is the fourth most common cause of cancer-related deaths in the United States, with an estimated 45,750 deaths in 2019. Mortality outcomes seem to differ based on the ethnicity of the patients, with most studies focusing on the mortality and survival of Caucasians and African Americans. Little attention has been given, however, to Asian-American patients diagnosed with pancreatic adenocarcinoma (PAC). In this study, we aimed to investigate mortality rates in Asian-American patients with PAC.

Methods

The SEER 13 registries (Surveillance, Epidemiology, and End-Results) of the National Cancer Institute were used to study PAC cases during 1992-2015. The incidence and incidence-based mortality rates per 100,000 person-years, and the annual percentage changes were calculated using SEER*stat software and Joinpoint regression software.

Results

A total of 5814 PAC cases in Asian-American patients were identified. Most patients were older than 60 years (77.6%) and had metastatic disease (55.8%). The overall incidence of PAC among Asian-Americans was 5.740 per 100,000 person-years (95% confidence interval [CI] 5.592-5.891]. Incidence rates were highest among males and patients older than 60 years. PAC incidence rates among Asian-Americans increased by 1.503% (95%CI 1.051-1.956; P<0.001) per year over the study period. PAC incidence rates increased over the study period for all sex, age, and stage subgroups. PAC incidence-based mortality among Asian-Americans increased by 4.535% (95%CI 3.538-5.541; P<0.001) per year over the study period.

Conclusion

The incidence of PAC in Asian-Americans, as well as incidence-based mortality rates, are on the rise, irrespective of age, sex or stage subgroup.