Metabolic syndrome biomarkers and prostate cancer risk in the UK Biobank

Long-term exposure to ambient air pollutants and risk of prostate cancer: A prospective cohort study

BACKGROUND

Air pollution has been hypothesized as a potential risk factor for prostate cancer, while previous studies on the topic mainly focused on single pollutant and the results were inconsistent. This study aimed to investigate the association between long-term exposure to multiple air pollutants and the risk of prostate cancer and their joint effect.

METHODS

This study included 210,722 men free of prostate cancer at baseline from the UK Biobank. Data on ambient air pollutants, including particulate matter with diameters ≤2.5 μm (PM2.5), ≤10 μm (PM10), nitrogen oxides (NO2 and NOx), sulfur dioxide (SO2), benzene, and ozone (O3) were collected from the UKs Department for Environment, Food and Rural Affair during 2003-2021.

RESULTS

During a median follow-up of 10.9 years, a total of 10,841 incident prostate cancer occurred. The hazard ratios (95% confidence intervals) of prostate cancer for each interquartile range increase in PM2.5, PM10, NO2, NOx, SO2, benzene and O3 were 1.120 (1.084-1.158), 1.121 (1.089-1.155), 1.040 (1.009-1.071), 1.040 (1.012-1.069), 0.983 (0.958-1.009), 1.080 (1.050-1.111), and 1.080 (1.050-1.111), respectively. The joint effect of PM2.5, PM10, NO2, NOx, SO2, and benzene was 1.039 (1.012-1.067). with the greatest contribution from NOx, PM10, benzene, and PM2.5. The impact of PM2.5, PM10, NO2, NOx and benzene on prostate cancer risk was weakened by a higher percentage of greenness at the home location buffer.

CONCLUSIONS

Long-term exposure to air pollutants may be positively associated with an elevated risk of prostate cancer, particularly for NOx, PM10, benzene, and PM2.5. This study highlights the potential role of comprehensively assessing and controlling various air pollutants in prevention of prostate cancer.

Metabolic Syndrome and the Risk of Kidney Stones: Evidence from 487 860 UK Biobank Participants

CONTEXT

While some studies have suggested an association between metabolic syndrome and kidney stones, the quality and level of evidence in these studies vary.

OBJECTIVE

Whether some individual characteristics and clustering of metabolic syndrome traits increase the risk of kidney stones has not been examined in a large-scale prospective cohort.

MATERIALS

We conducted a retrospective analysis of data from a prospective cohort of 487 860 UK Biobank participants who were free from kidney stones at baseline. The presence of metabolic syndrome was based on 5 criteria: abdominal obesity, high triglyceride levels, low high-density lipoprotein (HDL) cholesterol levels, high blood pressure (HBP), and type 2 diabetes mellitus (T2DM). Cox proportional hazards regression models were used to evaluate the association between metabolic syndrome and risk of kidney stones.

RESULTS

After an average follow-up period of 12.6 years, a total of 5213 of the 487 860 participants included in the UK Biobank study developed kidney stones. The partial traits of metabolic syndrome, including waist circumference (hazard ratio [HR]: 1.15; 95% CI, 1.10-1.20), HDL cholesterol (0.66; 95% CI, 0.55-0.79), HBP (1.11; 95% CI, 1.03-1.19), and T2DM (1.14; 95% CI, 1.04-1.21), were independently associated with the occurrence of kidney stones. The clustering of metabolic syndrome is significantly associated with kidney stone formation, and as the number of metabolic syndrome traits increases, the risk of kidney stones gradually increases.

CONCLUSION

Metabolic syndrome is a significant and independent risk factor for the development of kidney stones. This association suggests that kidney stones may represent a systemic disorder influenced by the interplay of various metabolic risk factors.

Associations between plasma caspase-1 levels and cardiovascular disease, with the mediating role of metabolic syndrome

AIMS

This study aimed to explore the association between plasma caspase-1 levels and cardiovascular disease (CVD), as well as the potential mediating role of metabolic syndrome (Mets) in the association.

METHODS

This study analyzed the UK Biobank Precision Proteomics Project (UKB-PPP), which detected plasma caspase-1 levels in participants. CVD was defined by ICD-9/ICD-10 codes. The Cox proportional hazards regression model was used to explore the hazard ratio (HR) of plasma caspase-1 levels with CVD. Mediation analysis was conducted to investigate the mediating effect of Mets and its components on this relationship.

RESULTS

This study included a total of 41,499 participants. Among them, 4869 (11.7 %) participants were documented to have developed CVD during a median follow-up of 13.6 years. In the fully adjusted model, compared with individuals in the lowest tertile of plasma caspase-1 levels, the highest tertile was significantly associated with an increased risk of CVD (HR = 1.11, 95 % CI, 1.04-1.19). Per one-unit Normalized Protein eXpression (NPX) increment in plasma caspase-1 concentrations was associated with a 6 % higher risk of CVD (p＜0.001). The mediating effect of Mets was the largest, at 17.5 %, with its components hypertension, central obesity, hypertriglyceridemia, hyperglycemia and dyslipidemia mediated the effects by 13.52 %, 9.72 %, 7.35 %, 4.63 % and 2.74 %, respectively.

CONCLUSIONS

Higher plasma caspase-1 levels were associated with a higher risk of CVD. This association may be partially mediated by Mets and its components, suggesting that caspase-1 may increase the risk of CVD by increasing the occurrence of Mets.

Understanding the role of metabolic syndrome in prostate cancer risk: A UK Biobank prospective cohort study

Predictive value of metabolic syndrome for prostate cancer risk is not clear. We aimed to assess the association between metabolic syndrome and its components with prostate cancer incidence. The primary outcome was prostate cancer incidence, i.e., incidence rate ratios and adjusted cumulative incidence curves derived from flexible parametric survival models. Adjusted cumulative incidence curves were derived using a flexible survival parametrical modeling framework. We analysed UK Biobank data including 242,349 adult males, recruited during 2006-2010 and followed up until 2021, during which 6,467 (2.7%) participants were diagnosed with prostate cancer. Our findings indicate that metabolic syndrome, as a whole, was not associated with prostate cancer risk (incidence rate ratios, 1.07; 95% confidence interval, 0.94-1.22). However, specific components such as hypertension and obesity increased the risk (incidence rate ratios, 1.22; 95% confidence interval, 1.03-1.44 and incidence rate ratios, 1.24; 95% confidence interval, 1.05-1.46, respectively). Other components, such as prediabetes/diabetes and low cholesterol, were associated with a reduced risk (incidence rate ratios, 0.80; 95% confidence interval, 0.67-0.94 and incidence rate ratios, 0.82; 95% confidence interval, 0.69-0.97, respectively), while hyperlipidaemia showed no significant effect (incidence rate ratios, 1.07; 95% confidence interval, 0.93-1.24). Further research is needed to understand the underlying mechanisms behind these relationships. Prostate cancer prevention strategies might benefit from targeting modifiable risk factors, particularly hypertension and obesity.

A Patent Analysis on Nano Drug Delivery Systems

BACKGROUND

A nano drug delivery system is an effective tool for drug delivery and controlled release, which is used for a variety of medical applications. In recent decades, nano drug delivery systems have been significantly developed with the emergence of new nanomaterials and nanotechnologies.

OBJECTIVE

This article aimed to provide insight into the technological development of nano drug delivery systems through patent analysis.

METHODS

3708 patent documents were used for patent analysis after retrieval from the Incopat patent database.

RESULTS

The number of patents on nano drug delivery systems has shown a rapid growth trend in the past two decades. At present, China and the United States have obvious contributions to the number of patents. According to the patent data, the nanomaterials used in nano drug delivery system are mainly inorganic nanomaterials, lipid-based nanomaterials, and macromolecules. In recent years, the highly cited patents (≥14) for nano drug delivery systems mainly involve lipid-based nanomaterials, indicating that their technology is mature and widely used. The inorganic nanomaterials in drug delivery have received increasing attention, and the number of related patents has increased significantly after 2016. The number of highly cited patents in the United States is 250, which is much higher than in other countries.

CONCLUSION

Even after decades of development, nano drug delivery systems remain a hot topic for researchers. The significant increase in patents since 2016 can be attributed to the large number of new patents from China. However, according to the proportion of highly cited patents in total, China's patented technologies in nano drug delivery systems are not advanced enough compared to developed countries, including the United States, Canada, Germany, and France. In the future, research on emerging nanomaterials for nano drug delivery systems, such as inorganic nanomaterials, may focus on developing new materials and optimising their properties. The lipid-based and polymer- based nanomaterials can be continuously improved for the development of new nanomedicines.

Associations of metabolic syndrome with cognitive function and dementia risk: Evidence from the UK Biobank cohort

AIM

To investigate the associations of metabolic syndrome (MetS) with cognitive function, dementia and its subtypes.

METHODS

Based on the participants recruited by UK Biobank, this study aims to investigate the associations of MetS with cognitive function, dementia and its subtypes. Generalized estimating equations, Cox proportional risk models, and multiple linear regression models were respectively used to assess associations between MetS and dementia-related outcomes.

RESULTS

Among the 363,231 participants, 95,713 had MetS at baseline. The results showed that MetS was significantly associated with cognitive function related to fluid intelligence and prospective memory at follow-up. Among participants aged ≥60 years, MetS was correlated with elevated risk of all-cause dementia, particularly vascular dementia (VaD) [hazard ratio 1.115 (95% confidence interval: 1.047, 1.187), hazard ratio 1.393 (95% confidence interval: 1.233, 1.575), respectively]. With increasing MetS components, the risk of all-cause dementia and VaD tended to be elevated. MetS has also been associated with dementia-related structural changes in the brain, including alterations in overall brain volume, white matter volume, grey matter volume and white matter integrity.

CONCLUSION

MetS was associated with poorer cognitive performance and might increase the risk of all-cause dementia as well as VaD, but the effect on Alzheimer's disease was not significant. Holistic control of the MetS may benefit the prevention and control of cognitive impairment and dementia.

Transitions in metabolic syndrome and metabolic obesity status over time and risk of urologic cancer: A prospective cohort study

BACKGROUND AND AIMS

The effects of metabolic obesity (MO) phenotypes status and their dynamic changes on urologic cancer (UC) is ignored. We aimed to investigate the association between metabolic syndrome (MetS) and MO status at baseline, their dynamic changes and UC risk.

METHODS

This paper studied 97,897 subjects who were free of cancers at baseline (2006-2007). Individuals were classified into four MO phenotypes by MetS and obesity at baseline. Transitions in MetS and MO status from 2006-2007 to 2008-2009 were considered. The hazard ratios (HRs) and 95% confidence intervals (CIs) for UC were assessed by multifactorial Cox proportional risk regression models. The main limitations of this study are as follows: the ratio of men to women in the cohort is unbalanced; the impacts of MetS and MO on each cancer type (kidney cancer, prostate cancer, bladder cancer) have not been analyzed separately; the transition intervals of MetS and MO phenotypes are relatively short.

RESULTS

From baseline (2006-2007) survey to December 31, 2020, during a median follow-up of 14.02 years, 554 cases of UC were diagnosed. Participants with MetS [HRs (95% CI) = 1.26 (1.06-1.49)] and metabolically unhealthy obesity (MUO) [HRs (95% CI) = 1.49 (1.17-1.89)] had significantly higher risk of UC than those with non-MetS and metabolically healthy normal weight (MHN). Transitions in MetS and MO phenotypes over time were studied. Compared with non-MetS to non-MetS, the risks for UC in MetS to MetS [HRs (95% CI) = 1.45 (1.11-1.88)] was increased. Compared with MHN to MHN, both MUO to metabolically healthy obesity (MHO) [HRs (95% CI) = 2.65 (1.43-4.92)] and MUO to MUO [HRs (95% CI) = 1.60 (1.06-2.42)] had significantly higher UC risk.

CONCLUSIONS

MetS and MUO increased the UC risk at baseline. Transitions of MetS to MetS, MUO to MUO and even MUO to MHO over time significantly increased the risk of UC development.

Opposing impact of hypertension/diabetes following hormone therapy initiation and preexisting statins on castration resistant progression of nonmetastatic prostate cancer: a multicenter study

Hormone therapy, especially androgen deprivation therapy (ADT), is effective against prostate cancer (PC), whereas long-term ADT is a risk for metabolic/cardiovascular disorders including diabetes (DM), hypertension (HT) and dyslipidemia (DL), and might result in progression to castration-resistant prostate cancer (CRPC). We thus conducted a multicenter retrospective cohort study to ask whether CRPC progression would be associated positively with HT, DM or DL and negatively with statins prescribed for treatment of DL. In this study, 1,112 nonmetastatic PC patients undergoing ADT were enrolled. Univariate statistical analyses clearly showed significant association of HT or DM developing after ADT onset, though not preexisting HT or DM, with early CRPC progression. On the other hand, preexisting DL or statin use, but not newly developed DL or started statin prescriptions following ADT, was negatively associated with CRPC progression. Multivariate analysis revealed significant independent association of the newly developed DM or HT, or preexisting statin use with CRPC progression [adjusted hazard ratios (95% confidence intervals): 3.85 (1.65-8.98), p = 0.002; 2.75 (1.36-5.59), p = 0.005; 0.25 (0.09-0.72), p = 0.010, respectively]. Together, ADT-related development of HT or DM and preexisting statin use are considered to have positive and negative impact on CRPC progression, respectively.

Metabolic Syndrome and Risk of Amyotrophic Lateral Sclerosis: Insights from a Large-Scale Prospective Study

OBJECTIVE

Although metabolic abnormalities are implicated in the etiology of neurodegenerative diseases, their role in the development of amyotrophic lateral sclerosis (ALS) remains a subject of controversy. We aimed to identify the association between metabolic syndrome (MetS) and the risk of ALS.

METHODS

This study included 395,987 participants from the UK Biobank to investigate the relationship between MetS and ALS. Cox regression model was used to estimate hazard ratios (HR). Stratified analyses were performed based on gender, body mass index (BMI), smoking status, and education level. Mediation analysis was conducted to explore potential mechanisms.

RESULTS

In this study, a total of 539 cases of ALS were recorded after a median follow-up of 13.7 years. Patients with MetS (defined harmonized) had a higher risk of developing ALS after adjusting for confounding factors (HR: 1.50, 95% CI: 1.19-1.89). Specifically, hypertension and high triglycerides were linked to a higher risk of ALS (HR: 1.53, 95% CI: 1.19-1.95; HR: 1.31, 95% CI: 1.06-1.61, respectively). Moreover, the quantity of metabolic abnormalities showed significant results. Stratified analysis revealed that these associations are particularly significant in individuals with a BMI <25. These findings remained stable after sensitivity analysis. Notably, mediation analysis identified potential metabolites and metabolomic mediators, including alkaline phosphatase, cystatin C, γ-glutamyl transferase, saturated fatty acids to total fatty acids percentage, and omega-6 fatty acids to omega-3 fatty acids ratio.

INTERPRETATION

MetS exhibits a robust association with an increased susceptibility to ALS, particularly in individuals with a lower BMI. Furthermore, metabolites and metabolomics, as potential mediators, provide invaluable insights into the intricate biological mechanisms. ANN NEUROL 2024;96:788-801.

Association between the metabolic score for insulin resistance and prostate cancer: a cross-sectional study in Xinjiang

Background

Insulin resistance is associated with the development and progression of various cancers. However, the epidemiological evidence for the association between insulin resistance and prostate cancer is still limited.

Objectives

To investigate the associations between insulin resistance and prostate cancer prevalence.

Methods

A total of 451 patients who were pathologically diagnosed with prostate cancer in the First Affiliated Hospital of Xinjiang Medical University were selected as the case population; 1,863 participants who conducted physical examinations during the same period were selected as the control population. The metabolic score for insulin resistance (METS-IR) was calculated as a substitute indicator for evaluating insulin resistance. The Chi-square test and Mann-Whitney U test were performed to compare the basic information of the case population and control population. Univariate and multivariate logistic regression analyses to define factors that may influence prostate cancer prevalence. The generalized additive model (GAM) was applied to fit the relationship between METS-IR and prostate cancer. Interaction tests based on generalized additive model (GAM) and contour plots were also carried out to analyze the interaction effect of each factor with METS-IR on prostate cancer.

Results

METS-IR as both a continuous and categorical variable suggested that METS-IR was negatively associated with prostate cancer prevalence. Smoothed curves fitted by generalized additive model (GAM) displayed a nonlinear correlation between METS-IR and prostate cancer prevalence (P < 0.001), and presented that METS-IR was negatively associated with the odds ratio (OR) of prostate cancer. The interaction based on the generalized additive model (GAM) revealed that METS-IR interacted with low-density lipoprotein cholesterol (LDL-c) to influence the prostate cancer prevalence (P = 0.004). Contour plots showed that the highest prevalence probability of prostate cancer was achieved when METS-IR was minimal and low-density lipoprotein cholesterol (LDL-c) or total cholesterol (TC) was maximal.

Conclusions

METS-IR is nonlinearly and negatively associated with the prevalence of prostate cancer. The interaction between METS-IR and low-density lipoprotein cholesterol (LDL-c) has an impact on the prevalence of prostate cancer. The study suggests that the causal relationship between insulin resistance and prostate cancer still needs more research to confirm.

Metabolic Syndrome Is Associated With an Increased Risk of Rheumatoid Arthritis: A Prospective Cohort Study Including 369,065 Participants

OBJECTIVE

To explore the associations between metabolic syndrome (MetS) and its individual components and the risk of rheumatoid arthritis (RA).

METHODS

A total of 369,065 individuals were included in the present study based on the UK Biobank. Multivariable Cox proportional hazards regression models were applied to estimate the associations between MetS and its individual components and the risk of RA. Mediation analysis was performed to further assess the potential mediating role of C-reactive protein (CRP) in the relationship between MetS and RA.

RESULTS

During a median follow-up period of 12.04 years, a total of 4901 incident RA cases were documented. MetS (hazard ratio [HR] 1.22, 95% CI 1.14-1.30) and 4 of its 5 components (elevated waist circumference [WC; HR 1.21, 95% CI 1.12-1.32], elevated triglyceride [TG] level [HR 1.12, 95% CI 1.05-1.19], reduced high-density lipoprotein cholesterol [HDL-C] level [HR 1.31, 95% CI 1.23-1.39], and hyperglycemia [HR 1.15, 95% CI 1.05-1.25]) were associated with an increased risk of RA. In addition, the risk of RA increased as the number of diagnosed MetS components increased, with the highest risk in participants with all 5 components. Mediation analysis showed that CRP might mediate the association between MetS and RA, accounting for 9.27% of the total effect.

CONCLUSION

These findings indicated positive associations between MetS and 4 of its components (WC, TG, HDL-C, and hyperglycemia) and the risk of RA, highlighting the importance of MetS management in the prevention of RA.

Metabolic Syndrome and the Risk of Ductal Carcinoma In Situ of the Breast in the UK Biobank

BACKGROUND

Metabolic syndrome (MetS), defined by the presence of three of more metabolic dysregulations such as hyperlipidemia, hyperinsulinemia, central obesity, and hypertension, has been associated with increased risk of cardiovascular disease, diabetes, and various cancers, including invasive breast cancer (IBC). Whether MetS is a risk factor for ductal carcinoma in situ of the breast (DCIS), a nonobligate precursor of IBC, remains unknown.

METHODS

A total of 198,748 women ages 40 to 69 years, DCIS- and IBC-free at enrolment in UK Biobank, were included in the current study. Multivariable-adjusted Cox proportional hazards models were used to estimate the association between MetS and DCIS.

RESULTS

A total of 1,251 DCIS cases were ascertained during an average follow-up of 11.4 years. There was no association between MetS and the risk of DCIS overall, or by menopausal status. Analysis of individual components of MetS showed an association between central obesity (waist circumference ≥88 cm) and increased DCIS risk in postmenopausal women.

CONCLUSIONS

In this prospective study, we found no association between MetS and DCIS risk.

IMPACT

The study findings do not support an association between MetS and this breast cancer precursor.

Interactions of obesity, body shape, diabetes and sex steroids with respect to prostate cancer risk in the UK Biobank cohort

BACKGROUND

Obesity and diabetes are associated inversely with low-grade prostate cancer risk and affect steroid hormone synthesis but whether they modify each other's impact on prostate cancer risk remains unknown.

METHODS

We examined the independent associations of diabetes, body mass index (BMI), 'a body shape index' (ABSI), hip index (HI), circulating testosterone, sex hormone binding globulin (SHBG) (per one standard deviation increase) and oestradiol ≥175 pmol/L with total prostate cancer risk using multivariable Cox proportional hazards models for UK Biobank men. We evaluated multiplicative interactions (pMI ) and additive interactions (relative excess risk from interaction (pRERI ), attributable proportion (pAR ), synergy index (pSI )) with obese (BMI ≥30 kg/m2 ) and diabetes.

RESULTS

During a mean follow-up of 10.3 years, 9417 incident prostate cancers were diagnosed in 195,813 men. Diabetes and BMI were associated more strongly inversely with prostate cancer risk when occurring together (pMI  = 0.0003, pRERI  = 0.032, pAP  = 0.020, pSI  = 0.002). ABSI was associated positively in obese men (HR = 1.081; 95% CI = 1.030-1.135) and men with diabetes (HR = 1.114; 95% CI = 1.021-1.216). The inverse associations with obesity and diabetes were attenuated for high-ABSI ≥79.8 (pMI  = 0.022, pRERI  = 0.008, pAP  = 0.005, pSI  <0.0001 obesity; pMI  = 0.017, pRERI  = 0.047, pAP  = 0.025, pSI  = 0.0005 diabetes). HI was associated inversely in men overall (HR = 0.967; 95% CI = 0.947-0.988). Free testosterone (FT) was associated most strongly positively in normal weight men (HR = 1.098; 95% CI = 1.045-1.153) and men with diabetes (HR = 1.189; 95% CI = 1.081-1.308). Oestradiol was associated inversely in obese men (HR = 0.805; 95% CI = 0.682-0.951). The inverse association with obesity was stronger for high-FT ≥243 pmol/L (pRERI  = 0.040, pAP  = 0.031, pSI  = 0.002) and high-oestradiol (pRERI  = 0.030, pAP  = 0.012, pSI  <0.0001). The inverse association with diabetes was attenuated for high-FT (pMI  = 0.008, pRERI  = 0.015, pAP  = 0.009, pSI  = 0.0006). SHBG was associated inversely in men overall (HR = 0.918; 95% CI = 0.895-0.941), more strongly for high-HI ≥49.1 (pMI  = 0.024).

CONCLUSIONS

Obesity and diabetes showed synergistic inverse associations with prostate cancer risk, likely involving testosterone reduction for diabetes and oestrogen generation for obesity, which were attenuated for high-ABSI. HI and SHBG showed synergistic inverse associations with prostate cancer risk.

Associations between metabolic syndrome and anxiety, and the mediating role of inflammation: Findings from the UK Biobank

OBJECTIVES

To investigate the association between metabolic syndrome (MetS) and anxiety and to explore the mediating role of inflammation indicators in this relationship based on the UK Biobank prospective cohort.

METHODS

This population-based retrospective cohort study analyzed data from 308,352 participants. MetS was defined according to criteria jointly developed by the American Heart Association, the National Heart, Lung, and Blood Institute, and the International Diabetes Federation. Anxiety was defined using ICD-10 codes. Cox proportional risk regression models were used to explore the hazard ratios (HRs) between MetS, components of MetS, number of MetS components, and anxiety. The mediating effect of inflammation on the association between MetS and anxiety was explored using longitudinal mediation analysis.

RESULTS

A total of 308,352 participants were included in this study. Of these, 9471 (3.071 %) developed anxiety over a mean follow-up of 12.05 years. In the fully adjusted model, MetS increased the risk of anxiety by 13.6 % (HR: 1.136, 95 %CI: 1.085-1.189). All MetS components significantly increased the risk of anxiety, with HRs ranging from 1.066 to 1.165. When MetS was treated as a linear variable, the risk of anxiety increased by 6.5 % per component increment. Age-stratified results showed that the risk of MetS for anxiety was higher among those <55 years (HR: 1.23, 95 %CI: 1.13-1.33) than among those ≥55 years (HR: 1.12, 95 %CI: 1.06-1.18). The mediating effects of platelets, lymphocytes, neutrophils, C-reactive protein, leukocytes, and INFLA scores on the association between MetS and anxiety were significant, with mediating effects of 2.30 %, 7.20 %, 15.9 %, 20.7 %, 22.0 %, and 25.3 %, respectively, and a combined mediating effect of these inflammatory factors was 30.8 % (except for INFLA scores).

CONCLUSIONS

MetS and its components significantly increased the risk of anxiety, which increased with the number of components. This association may be partially mediated by serum inflammatory indicators, suggesting that MetS may increase the risk of anxiety by elevating the level of chronic inflammation.

Association of Metabolic Syndrome With Risk of Lung Cancer: A Population-Based Prospective Cohort Study

BACKGROUND

Both the incidence of lung cancer and the prevalence of metabolic syndrome (MetS) have been increasing worldwide. The relationship between MetS and lung cancer remains controversial.

RESEARCH QUESTION

What is the risk of lung cancer associated with MetS and its components?

STUDY DESIGN AND METHODS

Multivariable Cox regression models were used to estimate the hazard ratio (HR) of MetS-related variables on lung cancer risk, both overall and by histologic subtype, in the UK Biobank. Stratified analyses were conducted by sex, tobacco use status, and use of medication. HR curves were used to test the nonlinear associations between the metabolic markers and the risk of lung cancer.

RESULTS

Of the 331,877 participants included in this study, a total of 77,173 participants had a diagnosis of MetS at enrollment. During a median follow-up of 10.9 years, lung cancer as the primary site developed in 2,425 participants. The HRs of MetS were 1.21 (95% CI, 1.09-1.33), 1.28 (95% CI, 1.10-1.50), and 1.16 (95% CI, 0.94-1.44) for the overall risk of lung cancer, adenocarcinoma, and squamous cell carcinoma, respectively. The HRs increased with the number of metabolic abnormalities from 1.11 to approximately 1.4 or 1.5 for those with one to five disorders. Positive association with lung cancer was observed for low high-density lipoprotein cholesterol (HDL-C), elevated waist circumference, and hyperglycemia. The relationship between MetS and lung cancer was modified by sex, with a stronger effect in female patients (P = .031). The risk of lung cancer resulting from MetS was elevated mainly among individuals who used tobacco, although the modification effect of tobacco use was not statistically significant. A nonlinear association was found between lung cancer and HDL-C, waist circumference, and glycated hemoglobin.

INTERPRETATION

The increased risk of lung cancer associated with MetS suggests the importance of taking metabolic status and markers into consideration for the primary prevention of lung cancer and the selection of high-risk populations for lung cancer screening.

Association of metabolic syndrome and its components with the risk of urologic cancers: a prospective cohort study

OBJECTIVE

To investigate the association between metabolic syndrome (MetS) and its components and the risk of developing urologic cancers.

METHODS

This study included 101,510 observation subjects from May 2006 to December 2007. The subjects received questionnaires and were subjected to clinical and laboratory examinations to collect data on baseline population characteristics, waist circumference (WC), blood pressure (BP), blood glucose, blood lipids, lifestyle, and past disease history. Finally, follow-up was conducted from the date of recruitment to December 31, 2019. Cox proportional hazards modelling was applied to analyze the association between MetS and its components and the risk of developing urologic cancers.

RESULTS

A total of 97,975 observation subjects met the inclusion criteria. The cumulative follow-up period included 1,209,178.65 person-years, and the median follow-up time was 13.03 years. During the follow-up period, 485 cases of urologic cancers (165 cases of kidney cancer, 134 cases of prostate cancer, 158 cases of bladder cancer, and 28 cases of other urologic cancers) were diagnosed. The log-rank test results for the cumulative incidences of urologic cancer, kidney cancer, and prostate cancer indicated significant (P < 0.01) differences between the MetS and non-MetS groups (0.70% vs. 0.48%, 0.27% vs. 0.15%, and 0.22% vs. 0.13%, respectively). Compared to the non-MetS group, the risk of developing urologic [HR (95% CI) = 1.29 (1.08-1.55)], kidney [HR (95% CI) = 1.74 (1.28-2.37)], and prostate [HR (95% CI) = 1.47 (1.04-2.07)] cancers was significantly higher in the MetS group. In the MetS group, elevated BP increased the risk of developing of urologic cancer [HRs (95% CI) = 1.35 (1.10-1.66)] and kidney cancer [HR (95% CI) = 1.74 (1.21-2.51)], while central obesity increased the risk of developing prostate cancer [HR (95% CI) = 1.68 (1.18-2.40)].

CONCLUSIONS

MetS increased the risk of developing urologic, kidney, and prostate cancers but had no association with the development of bladder cancer.

Clinical biomarker-based biological aging and risk of cancer in the UK Biobank

BACKGROUND

Despite a clear link between aging and cancer, there has been inconclusive evidence on how biological age (BA) may be associated with cancer incidence.

METHODS

We studied 308,156 UK Biobank participants with no history of cancer at enrolment. Using 18 age-associated clinical biomarkers, we computed three BA measures (Klemera-Doubal method [KDM], PhenoAge, homeostatic dysregulation [HD]) and assessed their associations with incidence of any cancer and five common cancers (breast, prostate, lung, colorectal, and melanoma) using Cox proportional-hazards models.

RESULTS

A total of 35,426 incident cancers were documented during a median follow-up of 10.9 years. Adjusting for common cancer risk factors, 1-standard deviation (SD) increment in the age-adjusted KDM (hazard ratio = 1.04, 95% confidence interval = 1.03-1.05), age-adjusted PhenoAge (1.09, 1.07-1.10), and HD (1.02, 1.01-1.03) was significantly associated with a higher risk of any cancer. All BA measures were also associated with increased risks of lung and colorectal cancers, but only PhenoAge was associated with breast cancer risk. Furthermore, we observed an inverse association between BA measures and prostate cancer, although it was attenuated after removing glycated hemoglobin and serum glucose from the BA algorithms.

CONCLUSIONS

Advanced BA quantified by clinical biomarkers is associated with increased risks of any cancer, lung cancer, and colorectal cancer.

The Role of C-Reactive Protein in the Prognosis of Prostate Cancer: A Meta-Analysis

Objective

To investigate the role of C-reactive protein (CRP) in the prognosis of prostate cancer (PCa).

Methods

The studies related to C-reactive protein and prostate cancer were searched by computer, including PubMed and Web of Science. The retrieval time was from the establishment of the database to August 2022. QUADAS score was employed to assess the studies' quality, funnel plot was employed to analyze the bias of the included studies, and RevMan and STATA statistical software programs were used to draw forest maps to represent the analysis results.

Results

In the initial examination, 432 articles were obtained. After removing the duplicate articles, reading the abstract and theme, and then reading the full text, 12 articles finally met the inclusion criteria. The results revealed that serum C-reactive protein (CRP) levels were associated with overall survival (OS) in patients with PCa (OR = 1.47 [1.19, 1.82], P < 0.05), and patients with high CRP levels had an increased risk of developing prostate cancer (HR = 0.26, 95% CI: 0.23, 0.29). However, there was no obvious difference in circulating CRP levels between patients with prostate cancer and healthy controls (P > 0.05).

Conclusions

CRP levels are associated with PCa patients' OS. High CRP levels have an elevated incidence of PCa, but there was no obvious distinction in circulating CRP levels between patients with prostate cancer and healthy controls. Therefore, C-reactive protein has certain reference value for judging the prognosis of prostate cancer.

Early prediction of prostate cancer risk in younger men using polygenic risk scores and electronic health records

BACKGROUND

Prostate cancer (PCa) screening is not routinely conducted in men aged 55 and younger, although this age group accounts for more than 10% of cases. Polygenic risk scores (PRSs) and patient data applied toward early prediction of PCa may lead to earlier interventions and increased survival. We have developed machine learning (ML) models to predict PCa risk in men 55 and under using PRSs combined with patient data.

METHODS

We conducted a retrospective study on 91,106 male patients aged 35-55 using the UK Biobank database. Five gradient boosting models were developed and validated utilizing routine screening data, PRSs, additional clinical data, or combinations of the three.

RESULTS

Combinations of PRSs and patient data outperformed models that utilized PRS or patient data only, and the highest performing models achieved an area under the receiver operating characteristic curve of 0.788. Our models demonstrated a substantially lower false positive rate (35.4%) in comparison to standard screening using prostate-specific antigen (60%-67%).

CONCLUSION

This study provides the first preliminary evidence for the use of PRSs with patient data in a ML algorithm for PCa risk prediction in men aged 55 and under for whom screening is not standard practice.

Serum cholesterol and the risk of developing hormonally driven cancers: A narrative review

Although cholesterol has been hypothesized to promote cancer development through several potential pathways, its role in the risk of developing hormonally driven cancer is controversial. This literature review summarizes evidence from the highest quality studies to examine the consistency and strength of the relationship between serum cholesterol parameters and incidence of hormonally driven cancer. Articles were identified using EMBASE. Longitudinal observational studies published between January 2000 and December 2020 were considered for inclusion. The endpoint of interest was incident prostate, ovary, breast, endometrium, and uterine cancers. In total, 2732 reports were identified and screened; 41 studies were included in the review. No associations were found for ovarian cancer. Most endometrial cancer studies were null. The majority (76.9%) of studies reported no association between cholesterol and prostate cancer. Data on breast cancer were conflicting, associations limited, and effect sizes modest. Our results do not provide evidence for a clear association between cholesterol and different types of incident, hormonally driven reproductive cancers. Future studies should investigate the impact of lipid-lowering therapy.

Synergism between the metabolic syndrome components and cancer incidence: results from a prospective nested case-control study based on the China Health and Retirement Longitudinal Study (CHARLS)

OBJECTIVES

Synergism between the metabolic syndrome (MetSyn) components and cancer incidence still remains inconclusive. We aimed to investigate the unique or joint role of MetSyn components in cancer onset.

DESIGN

We conducted a prospective nested case-control study based on the China Health and Retirement Longitudinal Study.

SETTING

An ongoing national representative longitudinal study included follow-up survey of people aged 45 years and older and their partners living in private households in China.

PARTICIPANTS

There were 17 708 individuals included at baseline. A total of 306 incident cancers was identified during the follow-up. For every case, we used incidence-density sampling to match three concurrent cancer-free controls by age, sex, and both duration and calendar time of follow-up. Exposure of interest was any MetSyn diagnosis at baseline.

RESULTS

We observed elevation in cancer risk associated with MetSyn in a significant way when the number of MetSyn components was over three (OR: 1.88; 95% CI: 1.19 to 2.97), or when components contained any of elevated triglycerides (OR: 1.61; 95% CI: 1.05 to 2.48), reduced high-density lipoprotein (HDL) cholesterol (OR: 2.33; 95% CI: 1.40 to 3.86) or elevated blood pressure (OR: 1.65; 95% CI: 1.04 to 2.59) after consistent multiple adjustments in different models. The highest cancer risk was in the female reproductive system and breast cancer (OR: 4.22; 95% CI: 1.62 to 10.95) followed by digestive system (OR: 1.67; 95% CI: 1.11 to 2.53). Sensitivity analyses showed similar results after first follow-up was excluded. However, any unique MetSyn component was not associated with increased cancer risk. Interestingly, the reduced HDL was observed to be widely associated with over twofold increased risk of cancer, only when together with other MetSyn components.

CONCLUSION

MetSyn components, in a collaborative manner rather than its unique component, were associated with elevated cancer risk. Not only obesity but even subtle metabolic disturbances may give rise to cancer.

Association of Blood Pressure with Prostate Cancer Risk by Disease Severity and Prostate Cancer Death: A Pooled Cohort Study

BACKGROUND

The association of blood pressure (BP) with prostate cancer risk after accounting for asymptomatic prostate-specific antigen (PSA) testing, and with prostate cancer death, is unclear.

METHODS

We investigated BP, measured at a mean age of 38 years among 430,472 men from five Swedish cohorts, in association with incident prostate cancer (n = 32,720) and prostate cancer death (n = 6718). HRs were calculated from multivariable Cox regression models.

RESULTS

Increasing systolic and diastolic BP levels combined were associated with a slightly lower prostate cancer risk, with a HR of 0.98 (95% CI, 0.97-0.99) per standard deviation (SD) of mid-BP (average of systolic and diastolic BP). The association was restricted to the PSA era (1997 onwards, HR, 0.96; 95% CI, 0.95-0.98), to diagnoses initiated by a PSA test in asymptomatic men (HR, 0.95; 95% CI, 0.93-0.97), and to low-risk prostate cancer (HR, 0.95; 95% CI, 0.92-0.97). There was no clear association with more advanced disease at diagnosis. In cases, a slightly higher risk of prostate cancer death was observed for higher BP levels (HR, 1.05; 95% CI, 1.01-1.08) per SD of mid-BP; however, the association was restricted to distant metastatic disease (Pheterogeneity between case groups = 0.01), and there was no association for BP measured less than 10 years prior to diagnosis.

CONCLUSIONS

Prediagnostic BP is unlikely an important risk factor for prostate cancer development and death. Less asymptomatic PSA testing among men with higher BP levels may explain their lower risk of prostate cancer.

IMPACT

Elevated BP is unlikely to be an important risk factor for prostate cancer.

Appraising the Effect of Potential Risk Factors on Thyroid Cancer: A Mendelian Randomization Study

CONTEXT

Various risk factors have been associated with the risk of thyroid cancer in observational studies. However, the causality of the risk factors is not clear given the susceptibility of confounding and reverse causation.

OBJECTIVE

A 2-sample Mendelian randomization approach was used to estimate the effect of potential risk factors on thyroid cancer risk.

METHODS

Genetic instruments to proxy 55 risk factors were identified by genome-wide association studies (GWAS). Associations of these genetic variants with thyroid cancer risk were estimated in GWAS of the FinnGen Study (989 cases and 217 803 controls). A Bonferroni-corrected threshold of P = 9.09 × 10-4 was considered significant, and P < 0.05 was considered to be suggestive of an association.

RESULTS

Telomere length was significantly associated with increased thyroid cancer risk after correction for multiple testing (OR 4.68; 95% CI, 2.35-9.31; P = 1.12 × 10-5). Suggestive associations with increased risk were noted for waist-to-hip ratio (OR 1.85; 95% CI, 1.02-3.35; P = 0.042) and diastolic blood pressure (OR 1.60; 95% CI, 1.08-2.38; P = 0.019). Suggestive associations were noted between hemoglobin A1c (HbA1c) (OR 0.20; 95% CI, 0.05-0.82; P = 0.025) and decreased risk of thyroid cancer. Risk of thyroid cancer was not associated with sex hormones and reproduction, developmental and growth, lipids, diet and lifestyle, or inflammatory factors (All P > 0.05).

CONCLUSION

Our study identified several potential targets for primary prevention of thyroid cancer, including central obesity, diastolic blood pressure, HbA1c, and telomere length, which should inform public health policy.

Association between metabolic syndrome and 13 types of cancer in Catalonia: A matched case-control study

Background

Metabolic syndrome (MS) is the simultaneous occurrence of a cluster of predefined cardiovascular risk factors. Although individual MS components are associated with increased risk of cancer, it is still unclear whether the association between MS and cancer differs from the association between individual MS components and cancer. The aim of this matched case-control study was to estimate the association of 13 types of cancer with (1) MS and (2) the diagnosis of 0, 1 or 2 individual MS components.

Methods

Cases included 183,248 patients ≥40 years from the SIDIAP database with incident cancer diagnosed between January 2008-December 2017. Each case was matched to four controls by inclusion date, sex and age. Adjusted conditional logistic regression models were used to evaluate the association between MS and cancer risk, comparing the effect of global MS versus having one or two individual components of MS.

Results

MS was associated with an increased risk of the following cancers: colorectal (OR: 1.28, 95%CI: 1.23–1.32), liver (OR: 1.93, 95%CI: 1.74–2.14), pancreas (OR: 1.79, 95%CI: 1.63–1.98), post-menopausal breast (OR: 1.10, 95%CI: 1.06–1.15), pre-menopausal endometrial (OR: 2.14, 95%CI: 1.74–2.65), post-menopausal endometrial (OR: 2.46, 95%CI: 2.20–2.74), bladder (OR: 1.41, 95%CI: 1.34–1.48), kidney (OR: 1.84, 95%CI: 1.69–2.00), non-Hodgkin lymphoma (OR: 1.23, 95%CI: 1.10–1.38), leukaemia (OR: 1.42, 95%CI: 1.31–1.54), lung (OR: 1.11, 95%CI: 1.05–1.16) and thyroid (OR: 1.71, 95%CI: 1.50–1.95). Except for prostate, pre-menopause breast cancer and Hodgkin and non-Hodgkin lymphoma, MS is associated with a higher risk of cancer than 1 or 2 individual MS components. Estimates were significantly higher in men than in women for colorectal and lung cancer, and in smokers than in non-smokers for lung cancer.

Conclusion

MS is associated with a higher risk of developing 11 types of common cancer, with a positive correlation between number of MS components and risk of cancer.

Personalized 5-Year Prostate Cancer Risk Prediction Model in Korea Based on Nationwide Representative Data

Prostate cancer is the fourth most common cause of cancer in men in Korea, and there has been a rapid increase in cases. In the present study, we constructed a risk prediction model for prostate cancer using representative data from Korea. Participants who completed health examinations in 2009, based on the Korean National Health Insurance database, were eligible for the present study. The crude and adjusted risks were explored with backward selection using the Cox proportional hazards model to identify possible risk variables. Risk scores were assigned based on the adjusted hazard ratios, and the standardized points for each risk factor were proportional to the β-coefficient. Model discrimination was assessed using the concordance statistic (c-statistic), and calibration ability was assessed by plotting the mean predicted probability against the mean observed probability of prostate cancer. Among the candidate predictors, age, smoking intensity, body mass index, regular exercise, presence of type 2 diabetes mellitus, and hypertension were included. Our risk prediction model showed good discrimination (c-statistic: 0.826, 95% confidence interval: 0.821-0.832). The relationship between model predictions and actual prostate cancer development showed good correlation in the calibration plot. Our prediction model for individualized prostate cancer risk in Korean men showed good performance. Using easily accessible and modifiable risk factors, this model can help individuals make decisions regarding prostate cancer screening.

Development of diabetes mellitus following hormone therapy in prostate cancer patients is associated with early progression to castration resistance

To identify risk factors for the prognosis of prostate cancer (PC), we retrospectively analyzed the impact of lifestyle-related disorders as well as PC characteristics at initial diagnosis on the progression to castration-resistant PC (CRPC) in PC patients undergoing hormone therapy. Of 648 PC patients, 230 who underwent hormone therapy and met inclusion criteria were enrolled in this study. CRPC developed in 48 patients (20.9%). Univariate analysis using Cox proportional hazard model indicated that newly developed diabetes mellitus (DM) following hormone therapy (postDM), but not preexisting DM, as well as PC characteristics at initial diagnosis including prostate-specific antigen (PSA) ≥ 18 were significantly associated with the progression to CRPC. A similar tendency was also observed in the relationship between newly developed hypertension following hormone therapy and CRPC progression. On the other hand, neither dyslipidemia nor hyperuricemia, regardless the onset timing, exhibited any association with CRPC progression. In multivariate analysis, postDM and PSA ≥ 18 were extracted as independent risk factors for CRPC progression (adjusted hazard ratios, 3.38 and 2.34; p values, 0.016 and 0.019, respectively). Kaplan–Meier analysis and log-rank test clearly indicated earlier progression to CRPC in PC patients who developed postDM or had relatively advanced initial PC characteristics including PSA ≥ 18. Together, the development of lifestyle-related disorders, particularly DM, following hormone therapy, as well as advanced PC characteristics at initial diagnosis is considered to predict earlier progression to CRPC and poor prognosis in PC patients undergoing hormone therapy.

Advanced and Innovative Nano-Systems for Anticancer Targeted Drug Delivery

The encapsulation of therapeutic agents into nano-based drug delivery system for cancer treatment has received considerable attention in recent years. Advancements in nanotechnology provide an opportunity for efficient delivery of anticancer drugs. The unique properties of nanoparticles not only allow cancer-specific drug delivery by inherent passive targeting phenomena and adopting active targeting strategies, but also improve the pharmacokinetics and bioavailability of the loaded drugs, leading to enhanced therapeutic efficacy and safety compared to conventional treatment modalities. Small molecule drugs are the most widely used anticancer agents at present, while biological macromolecules, such as therapeutic antibodies, peptides and genes, have gained increasing attention. Therefore, this review focuses on the recent achievements of novel nano-encapsulation in targeted drug delivery. A comprehensive introduction of intelligent delivery strategies based on various nanocarriers to encapsulate small molecule chemotherapeutic drugs and biological macromolecule drugs in cancer treatment will also be highlighted.