BMI and lifetime changes in BMI and cancer mortality risk

Integrated microbiome and metabolome analysis reveals that zishen qingre lishi huayu recipe regulates gut microbiota and butyrate metabolism to ameliorate polycystic ovary syndrome

BACKGROUND

Polycystic ovary syndrome (PCOS) is a metabolic disorder disease strongly associated with gut microbiota (GM). Zishen Qingre Lishi Huayu recipe (ZQLHR), a traditional Chinese medicinal compound, has patented and shown therapeutic effects in treating PCOS in clinical trials without clear pharmacological mechanisms. This study aimed to disclose the potential therapeutic mechanism of ZQLHR on PCOS.

METHODS

We firstly confirmed the therapeutic effects of ZQLHR treatment in PCOS patients. 16 S rRNA sequencing, untargeted metabolomics, fecal microbiota transplantation (FMT), high performance liquid chromatography (HPLC) and Person's correlation analysis were conducted to elucidate the potential therapeutic mechanism.

RESULTS

These results showed that PCOS symptoms in ZQLHR patients were significantly ameliorated. ZQLHR could increase the levels of butyrate-producing Lachnospira and Faecalibacterium and decrease the abundance of Escherichia-Shigella. Untargeted metabolomics showed that ZQLHR significantly improved host metabolic function, particularly butyrate metabolism and citrate cycle (TCA cycle) metabolism. The combined Faecalibacterium and butyrate metabolism datasets were correlated. Stool samples from ZQLHR patients could ameliorate ovarian architecture, significantly reduce testosterone (T), estradiol (E2) and luteinizing hormone (LH) levels and increased follicle-stimulating hormone (FSH) levels and increase the content of butyric acid in PCOS mice (P < 0.01). Moreover, the correlation analysis showed that some biochemical parameters (T, E2, LH levels and FSH) and butyric acid were correlated.

CONCLUSION

We firstly depicted that ZQLHR could alleviate the series of symptom in women with PCOS by regulating gut microbiota and butyrate metabolism. This study provides a scientific basis and new ideas for the therapy of PCOS.

Trajectories in mammographic breast screening participation in middle-age overweight and obese women: A retrospective cohort study using linked data

OBJECTIVES

Despite the established benefits and availability of mammographic breast screening, participation rates remain suboptimal. Women with higher BMIs may not screen regularly, despite being at increased risk of postmenopausal breast cancer and worse outcomes. This study investigated the association between prospective changes in BMI and longitudinal adherence to mammographic screening among women with overweight or obesity.

METHODS

Retrospective cohort study of women (N = 2822) participating in the Australian Longitudinal Study on Women's Health with an average follow-up of 20 years, with screening participation enumerated via BreastScreen NSW, Australia clinical records over the period 1996-2016. Association between BMI and subsequent adherence to screening was investigated in a series of marginal structural models, incorporating a time variant/invariant socio-demographic, clinical, and health behaviour confounders. Models were also stratified by a proxy measure of socio-economic status (education).

RESULTS

Participants with overweight/obesity were less adherent to mammography screening, compared to healthy/underweight participants (OR=1.29, 95 % CI=1.07, 1.55). The association between overweight/obesity and non-adherence was higher among those who ever had private health insurance (OR=1.30, 95 % CI=1.05, 1.61) compared to those who never had private health insurance and among those with lower educational background (OR=1.38, 95 % CI=1.08, 1.75) compared to those with higher educational background.

CONCLUSIONS

Long-term impacts on screening participation exist among women with higher BMI, who are less likely to participate in routinely organised breast screening. Women with a higher BMI should be a focus of efforts to improve breast screening participation, particularly given their increased risk of breast cancer and association of higher BMI with worse breast cancer outcomes among older women.

Ultra-Processed Food and Prostate Cancer Risk: A Systemic Review and Meta-Analysis

Background/Objectives: Prostate cancer is the second leading cause of cancer death among American men, following lung cancer. While diet and exercise have been extensively studied in relation to prostate cancer prevention, the evidence remains inconclusive. Methods: A comprehensive literature search was performed to identify observational studies investigating the association between ultra-processed food (UPF) consumption and prostate cancer risk and mortality, determined by the NOVA classification system. In addition, we conducted subgroup analyses to assess the association based on study design, age, and data collection methods. Results: Six studies were identified, including four cohort studies and two case-control studies. No significant association was found between high UPF consumption and increased risk of prostate cancer [RR = 1.02, 95% confidence interval (CI) = 0.96-1.08, n = 5]. However, there was a slight increase in mortality (RR = 1.15, 95% CI = 0.99-1.35, n = 2). A subgroup analysis by the dietary assessment method revealed an RR of 1.01 (95% CI = 0.93-1.09) for studies using the food frequency questionnaire (FFQ) and 1.04 (95% CI = 0.93-1.16) for studies using 24-h recalls. There was no significant heterogeneity among the studies (I2 = 0, p = 0.82). Conclusions: This meta-analysis suggests no significant association between high UPF consumption and prostate cancer risk. Given the known associations with other chronic diseases, the potential public health implications of reducing UPF consumption remain important. Further research with the use of more robust food assignment systems and more precise dietary assessments is needed to clarify the role of UPF in prostate cancer development.

An Assessment of Behavioral Risk Factors in Oncology Patients

An evaluation of the behavioral risk factors that contribute to the incidence and evolution of cancer in oncology patients was conducted through a cross-sectional study using a questionnaire completed by 206 patients (101 men and 105 women) diagnosed with various types of cancer. These patients were selected from different oncology centers in Romania, located in Bucharest and Constanta. Among the respondents, 91 are of normal weight, 12 are underweight, 62 are overweight, and 41 are obese, with overweight individuals predominating (p = 0.799). Regarding the presence of behavioral risk factors that can aggravate oncological pathology, it is found that 10 respondents consume alcohol daily, 36 consume it weekly with varying frequencies (p = 0.012), 26 respondents smoke excessively daily, and 12 respondents smoke 1-2 cigarettes daily (p = 0.438). Additionally, 40 respondents rarely engage in physical activity, and 71 respondents do not engage in physical activity at all as they do not typically participate in sports (p = 0.041). Thus, respondents with colon cancer tend to consume sweets, pastries and even fast food or fried foods more often, while the daily consumption of vegetables and fruits is insufficient, according to the recommendations of nutrition guidelines (a minimum of four portions per day). The analysis found that smoking and excessive alcohol consumption were associated with an increased incidence of lung and liver cancer. The lack of regular physical activity was identified as a risk factor for breast and colon cancer. An unhealthy diet, characterized by a low consumption of fruits and vegetables and high intake of processed foods, was correlated with a higher incidence of colorectal cancer. Additionally, non-adherence to medical advice was associated with poorer clinical outcomes and faster disease progression. The majority of respondents who declared that they did not feel an improvement in their state of health in the last period were among those who stated that they did not fully comply with the oncologist's recommendations. Identifying and modifying behavioral risk factors can play a crucial role in cancer prevention and in improving the prognosis and quality of life of cancer patients.

The importance of missing data in estimating BMI trajectories

Body Mass Index (BMI) trajectories are important for understanding how BMI develops over time. Missing data is often stated as a limitation in studies that analyse BMI over time and there is limited research exploring how missing data influences BMI trajectories. This study explores the influence missing data has in estimating BMI trajectories and the impact on subsequent analysis. This study uses data from the English Longitudinal Study of Ageing. Distinct BMI trajectories are estimated for adults aged 50 years and over. Next, multiple methods accounting for missing data are implemented and compared. Estimated trajectories are then used to predict the risk of developing type 2 diabetes mellitus (T2DM). Four distinct trajectories are identified using each of the missing data methods: stable overweight, elevated BMI, increasing BMI, and decreasing BMI. However, the likelihoods of individuals following the different trajectories differ between the different methods. The influence of BMI trajectory on T2DM is reduced after accounting for missing data. More work is needed to understand which methods for missing data are most reliable. When estimating BMI trajectories, missing data should be considered. The extent to which accounting for missing data influences cost-effectiveness analyses should be investigated.

Parental Divorce in Childhood and the Accelerated Epigenetic Aging for Earlier and Later Cohorts: Role of Mediators of Chronic Depressive Symptoms, Education, Smoking, Obesity, and Own Marital Disruption

We examine effects of parental divorce on epigenetic aging in later adulthood for two birth cohorts: one born in the early 20th century and the other born in the later 20th century. Using data from the Health and Retirement Study (n = 1,545), we examine the relationship between parental divorce in childhood and accelerated epigenetic aging in older adulthood as indicated by the Dunedin methylation Pace of Aging score. We assess how this relationship is mediated by chronic depressive symptoms, education, lifetime smoking, body mass index (BMI), and an older adult's own divorce. The mean age of the earlier cohort is 85.8 (SD = 3.9) and that of the later cohort is 60.2 (SD = 2.8). We find that parental divorce was related to faster aging in the later-born cohort, and that 56% of this relationship (b = 0.060) was mediated by chronic depressive symptoms (b = 0.013), lower education levels (b = 0.005), and smoking (b = 0.019). For the earlier cohort, there was no effect of parental divorce on epigenetic aging. Parental divorce in childhood may have lasting effects on later-life health, as reflected in the rate of epigenetic aging. However, the effects and mechanisms of this relationship differ across cohorts living in different social environments.

Co-design of an intervention to optimize mammographic screening participation in women with obesity and/or physical disabilities

BACKGROUND

Mammographic breast screening/rescreening rates are suboptimal for women with obesity and/or physical disabilities. This study describes development of an intervention framework targeting obesity- and disability-related barriers to improve participation.

METHODS

Mixed methods combined a systematic review with first-person perspectives to optimise screening engagement among women with obesity and/or physical disabilities. Phase 1 (systematic review) was conducted following the PRISMA framework. Phase 2 involved in-depth interviews with n = 8 women with lived experience of obesity and/or physical disabilities. An inductive coding approach was applied to the data which was then combined with Phase 1 results to develop the intervention framework.

RESULTS

Six studies were included in the systematic review. Tailored education based on individual risk increased willingness to undergo mammographic screening. Recommendations to improve the screening experience included partnerships with consumers, targeted messaging, and enhanced professional development for breast screening staff. Participants also identified strategies to improve the uptake of screening and the experience itself.

CONCLUSION

Development and evaluation of interventions informed by frameworks like the one developed in this study are needed to improve engagement in screening to promote regular participation among women with physical disabilities and/or obesity.

IMPLICATIONS FOR PRACTICE

Successful implementation of practice interventions co-designed by women with obesity and/or physical disabilities are likely to improve their breast screening participation. Enhanced training of radiographers aimed at upskilling in empathetic communication around required manoeuvring and potentially longer screening times for clients with obesity and/or physical disabilities may encourage more positive client practitioner interactions. Client information aimed at women with obesity should include information on how to prepare for the appointment and explain there may be equipment limitations compromising imaging which may not be completed at an initial appointment.

The relationship between the morningness-eveningness questionnaire and incident cancer: A historical clinical cohort study

OBJECTIVE

We conducted a retrospective cohort study to explore the relationship between chronotype measured by the total Morningness-Eveningness Questionnaire (MEQ) score and incident cancer.

METHODS

We used clinical and provincial health administrative data on consecutive adults who underwent a Level 1 Polysomnography (PSG) and completed the MEQ between 2010 and 2015 in an academic hospital (Ontario, Canada) and were cancer-free at baseline. Cancer status was derived from the Ontario Cancer Registry. Individuals were followed until death or March 31, 2020. We used multivariable Cox cause-specific regressions to address the research objective.

RESULTS

Of 3,004 individuals, 1,781 were analyzed: a median age of 54 years (IQR: 40-64) and 838 (47.1%) men. The median total MEQ score was 63 (IQR: 55-69); 61 (3.4%) were classified as evening (≤41), 536 (30.1%) as intermediate (42-58), and 1,184 (66.5%) as morning chronotypes (≥59). Over a median of 7 years (IQR: 5-8), 120 (6.7%) developed cancer. A U-shape relationship was found between the total MEQ score and an increased hazard of incident cancer, controlling for PSG measures of sleep apnea severity and sleep architecture, demographics, and comorbidities. Compared to the median of 63.0, a total MEQ score greater or less than the median was associated with an increased hazard of incident cancer, with the largest effect for those with a total score ≥76 (e.g., HR of a MEQ total score of 78 vs. 63: 2.01, 95% CI: 1.09-3.71).

CONCLUSION

The U-shaped curve may reflect deviations from a standard circadian tendency, which may stress biological systems and influence malignancy risk.

The association between BMI and self-reported health among a Brazilian sample: a cross-sectional study

OBJECTIVE

To examine the association between Body Mass Index (BMI) and self-rated health status among a representative sample of the Brazilian population.

METHODS

This study consists of a secondary analysis of the existing 2019 Brazilian National Health Survey (PNS). Logistic regression models were then used to examine the association between self-reported health status and BMI, while controlling for obesity-related medical conditions and socio-demographic characteristics.

RESULTS

The representative sample included 34,021 men and 34,430 women, comprising a total sample of 68,451. Men living with obesity (BMI ≥ 30 kg/m2) had, on average, a lower self-reported health status score (OR = 0.69, p < 0.01) compared to men within a healthy weight BMI range (18.5-25 kg/m2). Women living with obesity had, on average, a lower self-reported health status score (OR = 0.56, p < 0.01) compared to women within a healthy weight BMI range (18.5-25 kg/m2). There was also a statistically significant negative association (p < 0.01) between our obesity-related medical conditions and self-reported health for men and women. We also find some evidence of a non-linear association between BMI and health status for men.

CONCLUSIONS

The findings indicate that there is a statistically significant negative association between BMI and self-reported health for Brazilian men and women living with obesity. These findings reinforce the importance of addressing this growing public health challenge and the value of preventive measures and effective public health programs that focus on improving overall health and quality of life for individuals living with obesity.

Healthy Lifestyle and Cancer Risk: Modifiable Risk Factors to Prevent Cancer

Cancer has become a serious problem worldwide, as it represents the main cause of death, and its incidence has increased over the years. A potential strategy to counter the growing spread of various forms of cancer is the adoption of prevention strategies, in particular, the use of healthy lifestyles, such as maintaining a healthy weight, following a healthy diet; being physically active; avoiding smoking, alcohol consumption, and sun exposure; and vitamin D supplementation. These modifiable risk factors are associated with this disease, contributing to its development, progression, and severity. This review evaluates the relationship between potentially modifiable risk factors and overall cancer development, specifically breast, colorectal, and prostate cancer, and highlights updated recommendations on cancer prevention. The results of numerous clinical and epidemiological studies clearly show the influence of lifestyles on the development and prevention of cancer. An incorrect diet, composed mainly of saturated fats and processed products, resulting in increased body weight, combined with physical inactivity, alcohol consumption, and smoking, has induced an increase in the incidence of all three types of cancer under study. Given the importance of adopting correct and healthy lifestyles to prevent cancer, global institutions should develop strategies and environments that encourage individuals to adopt healthy and regular behaviors.

Analysis of differences in intestinal flora associated with different BMI status in colorectal cancer patients

BACKGROUND

Overweight is known to be an important risk factor for colorectal cancer (CRC), and the differences in intestinal flora among CRC patients with different BMI status have not been clearly defined. The purpose of this study was to elucidate the differences in the abundance, composition and biological function of intestinal flora in CRC patients with different BMI status.

METHOD

A total of 170 CRC patients were included and grouped according to the BMI data of CRC patients. BMI ≥ 24 kg/m2 was defined as overweight group, and BMI within the range of 18.5-23.9 kg/m2 was defined as normal weight group. Preoperative stool collection of patients in both groups was used for 16S rRNA sequencing. Total RNA was extracted from 17 CRC tumor tissue samples for transcriptome sequencing, and then CIBERSORT algorithm was used to convert the transcriptome data into the relative content matrix of 22 kinds of immune cells, and the correlation between different intestinal flora and immune cells and immune-related genes under different BMI states was analyzed. Finally, we identified BMI-related differential functional pathways and analyzed the correlation between these pathways and differential intestinal flora.

RESULT

There was no significant difference in α diversity and β diversity analysis between overweight group and normal weight group. Partial least square discriminant analysis (PLS-DA) could divide the flora into two different clusters according to BMI stratification. A total of 33 BMI-related differential flora were identified by linear discriminant effect size analysis (LEfSe), among which Actinomyces, Desulfovibrio and Bacteroides were significantly enriched in overweight group. ko00514: Other types of O-glycan biosynthesis are significantly enriched in overweight group. There was a significant positive correlation between Clostridium IV and Macrophages M2 and T cells regulatory (Tregs). There was a significant negative correlation with Dendritic cells activated and T cells CD4 memory activated.

CONCLUSIONS

The richness and diversity of intestinal flora of CRC patients may be related to different BMI status, and the enrichment of Actinomyces, Desulphurvibrio and Bacteroides may be related to overweight status of CRC patients. The tumor microenvironment in which BMI-related differential flora resides has different immune landscapes, suggesting that some intestinal flora may affect the biological process of CRC by regulating immune cell infiltration and immune gene expression, but further experiments are needed to confirm this.

Identification of Plausible Candidates in Prostate Cancer Using Integrated Machine Learning Approaches

Background

Currently, prostate-specific antigen (PSA) is commonly used as a prostate cancer (PCa) biomarker. PSA is linked to some factors that frequently lead to erroneous positive results or even needless biopsies of elderly people.

Objectives

In this pilot study, we undermined the potential genes and mutations from several databases and checked whether or not any putative prognostic biomarkers are central to the annotation. The aim of the study was to develop a risk prediction model that could help in clinical decision-making.

Methods

An extensive literature review was conducted, and clinical parameters for related comorbidities, such as diabetes, obesity, as well as PCa, were collected. Such parameters were chosen with the understanding that variations in their threshold values could hasten the complicated process of carcinogenesis, more particularly PCa. The gathered data was converted to semi-binary data (-1, -0.5, 0, 0.5, and 1), on which machine learning (ML) methods were applied. First, we cross-checked various publicly available datasets, some published RNA-seq datasets, and our whole-exome sequencing data to find common role players in PCa, diabetes, and obesity. To narrow down their common interacting partners, interactome networks were analysed using GeneMANIA and visualised using Cytoscape, and later cBioportal was used (to compare expression level based on Z scored values) wherein various types of mutation w.r.t their expression and mRNA expression (RNA seq FPKM) plots are available. The GEPIA 2 tool was used to compare the expression of resulting similarities between the normal tissue and TCGA databases of PCa. Later, top-ranking genes were chosen to demonstrate striking clustering coefficients using the Cytoscape-cytoHubba module, and GEPIA 2 was applied again to ascertain survival plots.

Results

Comparing various publicly available datasets, it was found that BLM is a frequent player in all three diseases, whereas comparing publicly available datasets, GWAS datasets, and published sequencing findings, SPFTPC and PPIMB were found to be the most common. With the assistance of GeneMANIA, TMPO and FOXP1 were found as common interacting partners, and they were also seen participating with BLM.

Conclusion

A probabilistic machine learning model was achieved to identify key candidates between diabetes, obesity, and PCa. This, we believe, would herald precision scale modeling for easy prognosis.

Geriatric nutritional risk index as a prognostic marker of first-line immune checkpoint inhibitor combination therapy in patients with renal cell carcinoma: a retrospective multi-center study

PURPOSE

This study aimed to investigate the effectiveness of the Geriatric Nutritional Risk Index (GNRI) in predicting the efficacy of first-line immune checkpoint inhibitor (ICI) combination therapy for metastatic or unresectable renal cell carcinoma (RCC) and associated patient prognosis.

METHODS

A retrospective study was conducted using data from 19 institutions. The GNRI was calculated using body mass index and serum albumin level, and patients were classified into two groups using the GNRI values, with 98 set as the cutoff point.

RESULTS

In all, 119 patients with clear cell RCC who received first-line drug therapy with ICIs were analyzed. Patients with GNRI ≥ 98 had significantly better overall survival (OS) (p = 0.008) and cancer-specific survival (CSS) (p = 0.001) rates than those with GNRI < 98; however, progression-free survival (PFS) did not differ significantly. Inverse probability of treatment weighting analysis showed that low GNRI scores were significantly associated with poor OS (p = 0.004) and CSS (p = 0.015). Multivariate analysis showed that the Karnofsky performance status (KPS) score was a better predictor of prognosis (OS; HR 5.17, p < 0.001, CSS; HR 4.82, p = 0.003) than GNRI (OS; HR 0.36, p = 0.066, CSS; HR 0.35, p = 0.072). In a subgroup analysis of patients with a good KPS and GNRI ≥ 98 vs < 98, the 2-year OS rates were 91.4% vs 66.9% (p = 0.068), 2-year CSS rates were 91.4% vs 70.1% (p = 0.073), and PFS rates were 39.7% vs 21.4 (p = 0.27), respectively.

CONCLUSION

The prognostic efficiency of GNRI was inferior to that of the KPS score at the initiation of the first-line ICI combination therapy for clear cell RCC.

Polysomnographic Assessment of Sleep Disturbances in Cancer Development: A Historical Multicenter Clinical Cohort Study

BACKGROUND

Many cellular processes are controlled by sleep. Therefore, alterations in sleep might be expected to stress biological systems that could influence malignancy risk.

RESEARCH QUESTION

What is the association between polysomnographic measures of sleep disturbances and incident cancer, and what is the validity of cluster analysis in identifying polysomnography phenotypes?

STUDY DESIGN AND METHODS

We conducted a retrospective multicenter cohort study using linked clinical and provincial health administrative data on consecutive adults free of cancer at baseline with polysomnography data collected between 1994 and 2017 in four academic hospitals in Ontario, Canada. Cancer status was derived from registry records. Polysomnography phenotypes were identified by k-means cluster analysis. A combination of validation statistics and distinguishing polysomnographic features was used to select clusters. Cox cause-specific regressions were used to assess the relationship between identified clusters and incident cancer.

RESULTS

Among 29,907 individuals, 2,514 (8.4%) received a diagnosis of cancer over a median of 8.0 years (interquartile range, 4.2-13.5 years). Five clusters were identified: mild (mildly abnormal polysomnography findings), poor sleep, severe OSA or sleep fragmentation, severe desaturations, and periodic limb movements of sleep (PLMS). The associations between cancer and all clusters compared with the mild cluster were significant while controlling for clinic and year of polysomnography. When additionally controlling for age and sex, the effect remained significant only for PLMS (adjusted hazard ratio [aHR], 1.26; 95% CI, 1.06-1.50) and severe desaturations (aHR, 1.32; 95% CI, 1.04-1.66). Further controlling for confounders, the effect remained significant for PLMS, but was attenuated for severe desaturations.

INTERPRETATION

In a large cohort, we confirmed the importance of polysomnographic phenotypes and highlighted the role that PLMS and oxygenation desaturation may play in cancer. Using this study's findings, we also developed an Excel (Microsoft) spreadsheet (polysomnography cluster classifier) that can be used to validate the identified clusters on new data or to identify which cluster a patient belongs to.

TRIAL REGISTRY

ClinicalTrials.gov; Nos.: NCT03383354 and NCT03834792; URL: www.

CLINICALTRIALS

gov.

Lymphocyte-C-reactive protein ratio with calf circumference could better predict survival of patients with non-metastatic cancer

Systemic inflammatory responses caused by tumor cells play an important role in the occurrence and development of tumors. The aim of this study was to identify biomarkers that most accurately predict prognoses in patients with non-metastatic cancer and to evaluate their clinical significance when combined with muscle markers. This study retrospectively evaluated 2,797 cancer patients diagnosed with cancer at TNM stages I, II, and III. Lymphocyte-C-reactive protein ratio (LCR) in conjunction with calf circumference (CC) were used (or chosed) after evaluating the predictive value of 13 inflammatory marker combinations and five anthropometric indicators for patient outcomes using the C-index. The Kaplan-Meier method and Cox's proportional hazards regression modeling were used to analyze the individual and combined effects of these two potential biomarkers on overall survival. This study enrolled 1,604 men (57.3%) and 1,193 women (42.7%) with a mean age of 58.75 years. Among the 13 inflammatory nutritional indicators, the LCR was the most accurate predictor of prognoses in patients with non-metastatic cancer. After multifactorial adjustment, we found that low LCR had an adverse effect on overall survival (hazard ratio [HR]: 2.50; 95% confidence interval [CI]: 2.17, 2.88; P < 0.001). Low LCR combined with low CC was also shown to be an independent risk factor for poor overall survival (HR: 2.26; 95% CI: 1.80, 2.83; P < 0.001). Compared with LCR or CC alone, the combination of the two had greater prognostic value for patients with non-metastatic cancer. The LCR can be implemented as a useful biomarker to predict prognoses in patients with non-metastatic cancer. CC is the best anthropometric indicator of muscle loss in patients with non-metastatic cancer. The combination of LCR and CC can better predict the prognosis of patients with non-metastatic cancer, and can provide important information for clinicians to formulate diagnosis and treatment plans.

The Glasgow Prognostic Score Predicts Survival in Patients with Advanced Non-Small Cell Lung Cancer Harboring Sensitive Epidermal Growth Factor Receptor Mutations Who Are Treated with Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitors

INTRODUCTION

Epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) are the standard first-line treatment for advanced non-small cell lung cancer (NSCLC) with sensitive EGFR mutations. The Glasgow prognostic score (GPS) is an inflammation-assessing score based on C-reactive protein and albumin concentrations. Information regarding the association between the GPS and EGFR-TKI treatment effectiveness is limited; hence, we investigated whether the GPS can predict the response of NSCLC to EGFR-TKIs.

METHODS

We evaluated 340 patients with NSCLC harboring sensitive EGFR mutations who received EGFR-TKI monotherapy between March 2009 and July 2021. The Kaplan-Meier method and Cox proportional hazards models were used to assess progression-free survival (PFS) and overall survival (OS).

RESULTS

After a median follow-up of 26.6 months, patients with a GPS of 0, 1, and 2 had PFS of 15.7, 10.0, and 6.3 months, respectively, and OS of 40.1, 25.8, and 14.4 months, respectively; patients with a GPS of 0 had significantly better PFS and OS than those with a GPS of 1 (p = 0.03, p = 0.001, respectively) or 2 (p < 0.001, p < 0.001, respectively). Multivariate analysis identified poor performance status, stage 4 at diagnosis, type of EGFR-TKI (gefitinib/erlotinib vs. afatinib), and GPS = 2 as predictors of a short PFS. Meanwhile, poor performance status, gefitinib/erlotinib administration, and GPS = 2 were predictors of a short OS.

CONCLUSION

The GPS predicted the survival of NSCLC patients harboring sensitive EGFR mutations who were undergoing EGFR-TKI treatment. The GPS might be ideal for routine use in clinical practice, given that it is an easily calculated parameter.

The U-Shape Relationship between Triglyceride-Glucose Index and the Risk of Diabetic Retinopathy among the US Population

Objective: To explore the association of diabetic retinopathy (DR) with TyG index and TyG-related parameters among the United States population. Methods: This cross-sectional study is conducted in adults with diabetes mellitus based on the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018. Multivariate logistic regression, restricted cubic spline, trend test, receiver operating characteristic curve and subgroup analysis are adopted to uncover the association of DR with TyG index and TyG-related parameter levels in diabetics. Results: An aggregate of 888 eligible participants with diabetes is included, involving 263 (29.6%) patients with DR. The participants are stratified according to the quartile of TyG index and TyG-related parameters (Q1–Q4). Following the adjustments of the confounding factors, a multivariate logistic regression analysis finds that TyG-BMI, TyG index and Q4-TyG index are significant risk factors for DR. The restricted cubic spline shows that TyG index and the DR risk of diabetes patients are proved to be U-shaped related (p for nonlinearity = 0.001). Conclusions: The triglyceride-glucose index has a U-shaped correlation with the risk of diabetic retinopathy, which has potential predictive value.

The impact of body mass index on prostate cancer: An updated systematic review and meta-analysis

BACKGROUND

Increasing evidence suggested obesity was associated with the risk of prostate cancer. Also, the association between prostate cancer risk and obesity has received much attention in recent years, but the results are still unclear. Therefore, the current systematic review and meta-analysis aimed to evaluate the impact of body mass index (BMI) on prostate cancer.

METHODS

We systematically searched PubMed, Google Scholar, Scopus and Cochrane databases with the appropriate key terms to identify the eligible articles related to the impact of BMI on prostate cancer. The Newcastle-Ottawa checklist was used for the quality assessment of studies, and the meta-analysis was carried out using Review Manager 5.3.

RESULTS

The present review includes 23 studies that fulfilled the criteria for inclusion. In the meta-analysis, a significant difference was observed between the obese and normal weight (P < .001) and 54% of obese has a risk compared to normal weight. Heterogeneity between the fifteen studies was high (I2 = 100%). Test for overall effect: Z = 8.77 (P < .001) (odds ratio [OR] = 0.32 confidence interval [CI]: 0.25-0.42). However, there was no significant difference observed between the overweight and normal weight (P = .75). Heterogeneity between the fifteen studies is high (I2 = 100%).

CONCLUSION

Prostate cancer is a common malignancy that poses a threat to the health of men. Obesity is associated with a higher risk of death from prostate cancer based on the findings of the included studies. Furthermore, wherever possible, the impact of weight change on prostate cancer patient mortality should be investigated.

BMI trajectories, morbidity, and mortality in England: a two-step approach to estimating consequences of changes in BMI

OBJECTIVE

BMI is known to have an association with morbidities and mortality. Many studies have argued that identifying health risks using single BMI measures has limitations, particularly in older adults, and that changes in BMI can help to identify risks. This study identifies distinct BMI trajectories and their association with the risks of a range of morbidities and mortality.

METHODS

The English Longitudinal Study of Aging provides data on BMI, mortality, and morbidities between 1998 and 2015, sampled from adults over 50 years of age. This study uses a growth-mixture model and discrete-time survival analysis, combined using a two-step approach, which is novel in this setting, to the authors' knowledge.

RESULTS

This study identified four trajectories: "stable overweight," "elevated BMI," "increasing BMI," and "decreasing BMI." No differences in mortality, cancer, or stroke risk were found between these trajectories. BMI trajectories were significantly associated with the risks of diabetes, asthma, arthritis, and heart problems.

CONCLUSIONS

These results emphasize the importance of looking at change in BMI alongside most recent BMI; BMI trajectories should be considered where possible when assessing health risks. The results suggest that established BMI thresholds should not be used in isolation to identify health risks, particularly in older adults.

Body mass index and serum markers associated with progression-free survival in lung cancer patients treated with immune checkpoint inhibitors

BACKGROUND

ICIs have remarkably affected the treatment strategies for numerous malignancies, including lung cancer. However, only a fraction of patients experience durable responses to ICIs; thus, there is an urgent need to identify the parameters related to ICI therapeutic effects. In this study, we investigated nutritional status surrogates and several serum markers to estimate the efficacy of ICIs.

MATERIALS AND METHODS

The records of 66 patients with stage III/IV lung cancer who received ICIs were retrospectively analyzed. Features of patients' clinical pathology, including age, sex, histology, line of treatment, BMI, serum albumin, serum creatinine, and serum inflammatory markers such as LMR and PLR, were examined. Progression-free survival was the primary endpoint. Relationships among categorical variables were assessed by the chi-squared test. Survival analysis was performed using the Kaplan-Meier method followed by the log-rank test. Cox multivariate analysis was performed to analyze the association between each variable and the survival time of patients.

RESULTS

The patients with BMI ≥ 25 (kg/m2), serum ALB≥37 (g/dL), serum creatinine ≥61.8 (μmol/L), LMR ≥ 2.12 had a significantly prolonged PFS in comparison with BMI<25 (kg/m2), ALB<37 (g/dL), creatinine<61.8 (μmol/L), LMR<2.12 (p < 0.05). No statistically significant difference was detected between patients with PLR < 135 and PLR ≥ 135 (p = 0.612). Multivariate analysis revealed that ALB≥37 (g/dL) and creatinine ≥ 61.8 (μmol/L) were associated with prolonged PFS, while statistical significance was not achieved in the BMI groups.

CONCLUSIONS

The current results indicated that high BMI is related to longer PFS in lung cancer patients treated with ICIs, which may be correlated with high levels of serum albumin and creatinine.

Multiple roles of ghrelin in breast cancer

Breast cancer is one of the most threatening malignant tumors in women worldwide; hence, investigators are continually performing novel research in this field. However, an accurate prediction of its prognosis and postoperative recovery remains difficult. The severity of breast cancer is patient-specific and affected by several health factors; thus, unknown mechanisms may affect its progression. This article analyzes existing literature on breast cancer, ranging from the discovery of ghrelin to its present use, and aims to provide a reference for future research into breast cancer mechanisms and treatment-plan improvement. Various parts of ghrelin have been associated with breast cancer by direct or indirect evidence. The ghrelin system may encompass the direction of expanding breast cancer treatment methods and prognostic indicators. Therefore, we compiled almost all studies on the relationship between the ghrelin system and breast cancer, including unacylated ghrelin, its GHRL gene, ghrelin O-acyltransferase, the receptor growth hormone secretagogue receptor, and several splice variants of ghrelin to lay the foundation for future research.

The clinical application value of phase angle of six parts in nutritional evaluation of tumor patients

OBJECTIVES

The purpose of this study was to explore the clinical application value of phase angle (PA) of six parts in the nutritional evaluation and construct a prediction model for diagnosing malnutrition of tumor patients.

METHODS

A total of 1129 patients with malignant tumors were analyzed retrospectively. The age, sex, tumor location and body mass index (BMI) of the patients were collected, and PA of six parts was measured. The Patient Subjective Global Assessment (PG-SGA) was used to evaluate the nutritional status of each patient.

RESULTS

According to the PG-SGA, 66.5% (n = 750) of the patients were evaluated as malnourished. Patients under the age of 65 had higher PA values. The PA value of men was higher than that of women (except PA-RL). In different disease groups, the PA-RA and PA-TR values were significantly different. In our study, PA value increases with BMI and decreases with PG-SGA (except PG-SGA 0-1 group). Multivariate regression analysis indicates that the age (HR = 1.051, 95% CI 1.037-1.066, P < 0.001), BMI (HR = 0.885, 95% CI 0.849-0.924, P < 0.001), and PA-WB (HR = 0.615, 95% CI 0.546-0.692, P < 0.001) were independent significant predictors associated with malnutrition. The AUC of the prediction model is 0.7631 (p < 0.001), indicating that the model including age, BMI, and PA-WB has certain diagnostic value for the diagnosis of malnutrition.

CONCLUSION

The PA-WB is an independent prognostic factor of malnutrition. The prediction model constructed by age, BMI, and PA-WB can be used as a useful tool for nutritional evaluation of tumor patients.

TRIAL REGISTRATION

Clinical Trial No.: ChiCTR2100047858.

A simple assessment model based on phase angle for malnutrition and prognosis in hospitalized cancer patients

BACKGROUND & AIMS

Malnutrition in cancer patients is a common but under-diagnosed condition that has negative effects on clinical outcomes. The development of an easy and reliable malnutrition assessment tool is thus critical for identification and nutritional support. We aimed to develop a phase angle (PA)-based prediction model of malnutrition and evaluate it in patient prognosis.

METHODS

A retrospective cohort of data consisting of demographic, clinical parameter and PA test from 702 adult hospitalized cancer patients between June 2020 to February 2021 was analysed. PAs for 6 body sites were measured by a body composition analyser. Patient-generated subjective global assessment (PG-SGA) scale was used as the diagnostic standard of nutritional status (PG-SGA ≥ 4 points defined as malnutrition). Decision tree, mean decrease accuracy of random forest, stepAIC strategy and test of generalized likelihood ratio were employed to select important variables and develop models for predicting PG-SGA binary classification (PG-SGA < 4 or ≥ 4 as a split). Survival curves were plotted by using the Kaplan-Meier method.

RESULTS

In all, 490 (69.8%) patients were malnourished according to their actual PG-SGA scores. Except for age, tumor type and body mass index (BMI), PA of the left arm was found to influence malnutrition classification and incorporated in the final predictive model. The model achieved good performance with an AUC of 0.813, 75.9% sensitivity and 73.3% specificity. The actual and predicted survival curves were almost overlapped.

CONCLUSION

This study provides a simple nutritional assessment tool which may be used to facilitate oncology physicians to identify cancer patients at nutritional risk and potentially implement nutritional support.

CLINICAL TRIAL NO

ChiCTR2100047858.

Adiposity and risk of prostate cancer death: a prospective analysis in UK Biobank and meta-analysis of published studies

BACKGROUND

The association of adiposity with prostate cancer specific mortality remains unclear. We examined how adiposity relates to fatal prostate cancer and described the cross-sectional associations of commonly used adiposity measurements with adiposity estimated by imaging in UK Biobank. We also conducted a dose-response meta-analysis to integrate the new data with existing prospective evidence.

METHODS

218,237 men from UK Biobank who were free from cancer at baseline were included. Body mass index (BMI), total body fat percentage (using bioimpedance), waist circumference (WC) and waist-to-hip ratio (WHR) were collected at recruitment. Risk of dying from prostate cancer (primary cause) by the different adiposity measurements was estimated using multivariable-adjusted Cox proportional hazards models. Results from this and other prospective cohort studies were combined in a dose-response meta-analysis.

RESULTS

In UK Biobank, 661 men died from prostate cancer over a mean follow-up of 11.6 years. In the subsample of participants with magnetic resonance imaging and dual-energy X-ray absorptiometry, BMI, body fat percentage and WC were strongly associated with imaging estimates of total and central adiposity (e.g. visceral fat, trunk fat). The hazard ratios (HR) for prostate cancer death were 1.07 (95% confidence interval = 0.97-1.17) per 5 kg/m2 higher BMI, 1.00 (0.94-1.08) per 5% increase in total body fat percentage, 1.06 (0.99-1.14) per 10 cm increase in WC and 1.07 (1.01-1.14) per 0.05 increase in WHR. Our meta-analyses of prospective studies included 19,633 prostate cancer deaths for BMI, 670 for body fat percentage, 3181 for WC and 1639 for WHR, and the combined HRs for dying from prostate cancer for the increments above were 1.10 (1.07-1.12), 1.03 (0.96-1.11), 1.07 (1.03-1.11), and 1.06 (1.01-1.10), respectively.

CONCLUSION

Overall, we found that men with higher total and central adiposity had similarly higher risks of prostate cancer death, which may be biologically driven and/or due to differences in detection. In either case, these findings support the benefit for men of maintaining a healthy body weight.

The Association between Pretreatment anemia and Overall Survival in Advanced Non-small Cell lung Cancer: A Retrospective Cohort Study Using Propensity Score Matching

Background: The purpose of this study was to investigate whether pretreatment anemia was an independent risk factor for survival in patients with advanced non-small cell lung cancer (NSCLC) after adjusting for other covariates. Methods: We used propensity score matching (PSM) to minimize the influence of confounding factors and used χ2 (categorical variables), Student's t-test (normal distribution), or Mann-Whitney U test (skewed distribution) to analyze the differences among the Hb groups. Cox regression and Kaplan-Meier analyses were used to assess the association between anemia and survival. P values < 0.05 (two-sided) were considered statistically significant. Results: The average age of the 758 selected participants was 58.2±11 years, and 210 patients (27.7%) had anemia. In the multivariate analysis, anemia was associated with a poor prognosis in the unmatched cohort (Hazards ratio (HR)=1.3, 95% (confidence interval (CI): 1.1-1.6; p= 0.008), and the matched cohort (HR=1.7, 95% CI: 1.3-2.3; p <0.001), emerging as an independent risk and prognostic factor in advanced NSCLC patients. In the Kaplan-Meier curve, the average survival time of anemic and non-anemic patients was 9.3 months (95% CI: 7.9-11.4 months) vs. 14.1 months (95% CI: 12-16.3 months) (p=0.0073) in the unmatched cohort. After propensity score matching, the average survival time of anemic and non-anemic patients was 10.9 months (95% CI: 8.8-12.9. months) vs. 17.8 months (95% CI: 16.0-23.3 months) (p <0.001). Conclusion: Pretreatment anemia was an independent risk and prognostic factor for survival in patients with advanced NSCLC. Large-scale studies are required to confirm our findings.

Correlation between adiponectin rs2241766 and rs266729 polymorphisms and risk of papillary thyroid cancer

About 60-80% of thyroid cancer (TC) cases are papillary thyroid cancer (PTC). Studies have shown that serum adiponectin levels are inversely related to the risk of TC and PTC. Aim of the present study was to evaluate the association between adiponectin rs2241766 and rs266729 polymorphisms and risk of PTC. 122 PTC patients and 128 healthy subjects were enrolled in the study. PCR-RFLP and ARMS-PCR methods were used for genotype analysis. The rs266729 polymorphism did not correlate with risk of PTC. As regard rs2241766 polymorphism, the frequency of the GG genotype did not have a significant difference between the two groups, although, PTC cases showed higher frequency of GT genotype compared to controls (OR=2.87, 95% CI=1.56-5.28, P=0.001). We observed a significant association between adiponectin rs2241766 polymorphism and PTC, however, our result showed no significant relationship between adiponectin rs266729 polymorphism and risk of PTC.

Association of Bariatric Surgery and Risk of Cancer in Patients With Morbid Obesity

OBJECTIVE

This study investigates the rates of obesity-related cancers in patients undergoing vertical sleeve gastrectomy (VSG), Roux-en-Y gastric bypass (RYGB), or no surgical intervention.

SUMMARY BACKGROUND DATA

Obesity has been previously associated with increased rates of cancers; however, weight loss surgeries have not been explored to demonstrate their potential risk reduction impact.

METHODS

Patients meeting bariatric eligibility criteria between January 2010 and December 2018 were identified. Exact 1:1:1 matching based on baseline patient demographics and comorbidities was used to create 3 groups with identical covariates: patients undergoing VSG, RYGB, and no surgery.

RESULTS

A total of 28, bariatric-eligible patients equally split into patients undergoing VSG (n = 9636, 33.3%), RYGB (n = 9636, 33.3%), and those with no surgical intervention (n = 9636, 33.3%). Bariatric-eligible patients that did not undergo surgical intervention had significantly higher rates and odds of developing numerous cancer types included in our study when compared to either surgical cohorts, with any cancer type (4.61%), uterine (0.86%), colorectal (0.57%), and lung cancers (0.50%) being most common. Individuals undergoing RYGB were significantly less likely to develop colorectal cancer compared to patients without any surgical intervention [odds ratio (OR) 0.47, 95% confidence interval (CI) 0.30-0.75]. Additionally, those undergoing VSG were significantly less likely to develop lung cancer than the bariatric eligible no surgery cohort (OR 0.42, 95% CI 0.25-0.70).

CONCLUSION

Postoperative rates of any cancer type, lung, ovarian, and uterine cancer were significantly lower in obese patients undergoing either vertical sleeve gastrectomy (VSG) or RYGB compared to bariatric-eligible patients without any surgical intervention.

Polysomnographic Markers of Obstructive Sleep Apnea Severity and Cancer-Related Mortality: A Large Retrospective Multicenter Clinical Cohort Study

RATIONALE

The evidence for an association between cancer survival and obstructive sleep apnea (OSA) remains under-explored.

OBJECTIVES

To evaluate an association between markers of OSA severity (respiratory disturbances, hypoxemia, and sleep fragmentation) and cancer-related mortality in individuals with previously diagnosed cancer.

METHODS

We conducted a multicenter retrospective cohort study using linked clinical and provincial health administrative data on consecutive adults who underwent a diagnostic sleep study between 1994 and 2017 in four Canadian academic hospitals and were previously diagnosed with cancer through the Ontario Cancer Registry. Multivariable cause-specific Cox regressions were utilized to address the research objective.

RESULTS

We included 2,222 subjects. Over a median follow-up time of 5.6 years (IQR: 2.7-9.1), 261/2,222 (11.7%) individuals with prevalent cancer died from cancer-related causes, which accounted for 44.2% (261/590) of all-cause death. Controlling for age, sex, alcohol use disorder, prior heart failure, COPD, hypertension, diabetes, treatment for OSA, clinic site, year of the sleep study, and time since the cancer diagnosis, measures of hypoxemia and sleep fragmentation, but not apnea-hypopnea index were significantly associated with the cancer-specific mortality: % time spent with SaO2 <90% (HR per 5% increase: 1.05; 95% CI: 1.01-1.09); mean SaO2 (HR per 3% increase: 0.79; 0.68-0.92); and % of Stage 1 Sleep (HR per 16% increase: 1.27; 1.07-1.51).

CONCLUSION

In a large clinical cohort of adults with suspected OSA and previously diagnosed cancer, measures of nocturnal hypoxemia and sleep fragmentation as markers of OSA severity were significantly associated with cancer-related mortality, suggesting the need for more targeted risk awareness.

Scoping Review and Meta-Analysis Suggests that Cannabis Use May Reduce Cancer Risk in the United States

Introduction:Cannabis smoke contains carcinogens similar to tobacco, in addition to compounds with antitumor activity. Cannabis use reduces the risk of obesity and cannabinoids inhibit chronic inflammation, known causes of cancer. The net effect of Cannabis use on cancer risk is not known. Objective: To examine the association between Cannabis use and cancer risk in the United States. Methods: Identify and analyze published data on cancer risk in Cannabis users. Results: A total of 55 data points, consisting of risk ratios of cancer in Cannabis users and nonusers, were identified from 34 studies. Of these, 5 did not contain data essential for inclusion in the meta-analysis. The remaining data showed a nonsignificant trend to an association with reduced risk (relative risk [RR]=0.90, p>0.06, N=50) although heterogeneity is high (I2=72.4%). Removal of data with high risk of selection bias (defined as those from North Africa and those that failed to adjust for tobacco) and data with high risk of performance bias (defined as those with fewer than 20 cases or controls among Cannabis users) resulted in an RR <1.0 (RR=0.86, p<0.017, N=24) and large effect size (Hedges g=0.66), but did not decrease heterogeneity (I2=74.9). Of all cancer sites, only testicular cancer showed an RR value >1, although this was not significant and had a negligible effect size (RR=1.12, p=0.3, Hedges g=0.02). Following removal of testicular cancers the remaining data showed a decrease in risk (RR=0.87, p<0.025, N=41). Cancers of the head and neck showed a negative association with cancer risk (RR=0.83, p<0.05), with a large effect size (Hedges g=0.55), but high heterogeneity (I2=79.2%). RR did not reach statistical significance in the remaining cancer site categories (lung, testicular, obesity-associated, other). The data are consistent with a negative association between Cannabis use and nontesticular cancer, but there is low confidence in this result due to high heterogeneity and a paucity of data for many cancer types.

Work-Related Musculoskeletal Disorders Among Hospital Midwives in Chenzhou, Hunan Province, China and Associations with Job Stress and Working Conditions

Background

Midwives have a high risk of work-related musculoskeletal disorders (WMSDs), which are the leading cause of pain and disability. However, the association between job stress and WMSDs among midwives has not been studied. The aim of this project was to specifically describe relationships between the job stress and WMSDs among a sample of hospital midwives in Chenzhou, Hunan Province, China.

Methods

We conducted a cross-sectional study among a sample of 769 eligible midwives in the city of Chenzhou in Hunan Province, China from May 2018 to January 2019. All participants completed a questionnaire regarding the presence and severity of different pain symptoms and job stress assessed by the Korean occupational stress scale.

Results

A total of 597 participants responded (77.6%), and 491 (82.2%) reported that they had experienced WMSDs at some time over a 12-month period. The most common pain site was low back (72.7%), followed by the neck (52.8%) and shoulders (42.7%). We revealed that various aspects of job stress were associated with WMSDs in the current study, namely “Owing to my workload, I always feel time pressure” (OR, 2.05; 95% CI: 1.28–3.28), “My job has become increasingly overbearing” (OR, 2.34; 95% CI: 1.46–3.77), “My work requires long lasting concentration” (OR, 3.50; 95% CI: 2.13–5.74), “I have to do various jobs simultaneously”, (OR, 3.15; 95% CI: 1.93–5.14)), “My work requires creativity” (OR, 2.15; 95% CI: 1.31–3.54), “My work requires a high level of skill or knowledge” (OR, 2.83; 95% CI: 1.67–4.80), “My supervisor is helpful in getting the job done” (OR, 0.53; 95% CI: 0.33–0.84), “I have someone who understands my difficulties at work” (OR, 0.53; 95% CI: 0.34–0.85), “Undesirable changes (ie, downsizing) will come to my job” (OR, 3.28; 95% CI: 2.01–5.77), “My company provides me with sufficient organizational support” (OR, 0.47; 95% CI: 0.29–0.74), “Departments cooperate each other without conflicts” (OR, 0.50; 95% CI: 0.32–0.80), “I am provided with the opportunity to develop my capacity” (OR, 0.57; 95% CI: 0.36–0.91) and “My company climate is authoritative and hierarchical” (OR: 3.21; 95% CI: 1.97-5.23).

Conclusion

Overall, this study suggests that job stress has an important influence on WMSDs among a sample of hospital midwives in Chenzhou, Hunan Province, China. Given the multifaceted nature of identified risk, a comprehensive approach to reduce this risk is clearly required and a job stress management program will be essential.

Trace proteinuria as a risk factor for cancer death in a general population

Growing evidence has demonstrated an association between nondialysis chronic kidney disease and cancer incidence, although the association between trace proteinuria and cancer death remains unclear. The aim of this study was to investigate the association between trace proteinuria and cancer death in a community-based population in Japan. This was a prospective cohort study of 377,202 adults who participated in the Japanese Specific Health Check and Guidance System from 2008 to 2011. Exposure was dipstick proteinuria categorized as − (negative), ± (trace), 1 + (mild), or ≥ 2 + (moderate to heavy). Outcome was cancer death based on information from the national database of death certificates. Adjusted Cox hazard regression model was used to evaluate the associations between trace proteinuria and cancer death. During median follow-up of 3.7 years, 3056 cancer deaths occurred, corresponding to overall cancer death rate of 21.7/10,000 person-years. In the fully adjusted model, risk of cancer death increased significantly in each successive category of proteinuria: hazard ratio (HR) (95% confidence interval [95% CI]) for risk of cancer death was 1.16 (1.03–1.31), 1.47 (1.27–1.70), and 1.61 (1.33–1.96) for trace, mild, and moderate to heavy proteinuria, respectively. Sensitivity analyses revealed a similar association between trace proteinuria and cancer death, and participants with trace proteinuria had greater risk of mortality from hematological cancers (HR: 1.59 [95% CI: 1.09–2.31]). Both mild to heavy and trace proteinuria were significantly associated with risk of mortality from cancer in a general population.

Obesity as a Risk Factor for Prostate Cancer Mortality: A Systematic Review and Dose-Response Meta-Analysis of 280,199 Patients

Simple Summary

Results from individual studies on the association between obesity and prostate cancer mortality remain inconclusive; additionally, several large cohort studies have recently been conducted. We aimed to systematically review all available evidence and synthetize it using meta-analytic techniques. The results of our study showed that obesity was associated with prostate cancer specific mortality and all-cause mortality. The temporal association was consistent with a dose-response relationship. Our results demonstrated that obesity, a potentially modifiable prognostic factor, was associated with higher prostate cancer mortality. This study improved the evidence regarding the potential impact of lifestyle on improving prostate cancer prognosis. Strategies aimed at maintaining normal, or reducing abnormal, body mass index in diagnosed prostate cancer patients might improve survival. These results should guide urologists, oncologists, patients, policy-makers and primary care providers with respect to evidence-based practice and counselling concerning lifestyle changes after prostate cancer diagnosis.

Abstract

The aim of this study was to systematically review all evidence evaluating obesity as a prognostic factor for PC mortality. Cohort and case-control studies reporting mortality among PC patients stratified by body mass index (BMI) were included. The risk of mortality among obese patients (BMI ≥ 30) was compared with the risk for normal weight (BMI < 25) patients, pooling individual hazard ratios (HR) in random-effects meta-analyses. Reasons for heterogeneity were assessed in subgroup analyses. Dose-response associations for BMI per 5 kg/m² change were assessed. Among 7278 citations, 59 studies (280,199 patients) met inclusion criteria. Obesity was associated with increased PC-specific mortality (HR: 1.19, 95% CI: 1.10–1.28, I²: 44.4%) and all-cause mortality (HR: 1.09, 95% CI: 1.00–1.18, I²: 43.9%). There was a 9% increase (95% CI: 5–12%, I²: 39.4%) in PC-specific mortality and 3% increase (95% CI: 1–5%, I²: 24.3%) in all-cause mortality per 5 kg/m² increase in BMI. In analyses restricted to the higher quality subgroup (NOS ≥ 8), obesity was associated with increased PC-specific mortality (HR: 1.24, 95% CI: 1.14–1.35, I²: 0.0%) and maintained the dose-response relationship (HR: 1.11 per 5 kg/m² increase in BMI, 95% CI: 1.07–1.15, I²: 26.6%). Obesity had a moderate, consistent, temporal, and dose-response association with PC mortality. Weight control programs may have a role in improving PC survival.

The predictive value of body mass index on prognosis and adverse events of cancers treated with immunotherapy: a systematic review and meta-analysis

OBJECTIVE

High body mass index (BMI) greater than 25 kg/m² has a complex relationship with cancers. The aim of this systematic review and meta-analysis is to explore controversy over whether BMI is correlated with outcomes including survival and immunotherapy-related adverse events (irAEs) in cancer patients treated with immunotherapy.

METHODS

We searched PubMed, Embase, Web of Science, and The Cochrane Library for relevant studies published up to June 2020. Title/abstract screening, full-text review, data extraction, and quality assessment were performed independently. Subgroup analysis was based on sex, treatment lines, the status of programmed death-ligand 1 (PD-L1), and tumor types. Sensitivity analysis was performed by synthesizing studies that adjusted for certain covariates or studies with good quality. Statistical heterogeneity was evaluated by the I² value. Meta-analysis was performed with hazard ratio (HR) / odds ratio (OR) and 95% confidence intervals (CIs) as the effect measures.

RESULTS

Twenty studies were included for survival and irAEs analyses. Patients with high BMI who underwent immunotherapy had longer overall survival (OS) (pooled hazard ratio, pHR = 0.71 [95% CI: 0.59-0.85]) and progression-free survival (PFS) (pHR = 0.76 [95% CI: 0.65-0.88]) than those with low BMI; at the same time, high-BMI patients had increased irAEs (OR = 2.54 [95% CI: 1.12-5.79]).

CONCLUSION

In general, high BMI was correlated with improved OS and PFS in patients treated with immunotherapy along with a high risk of irAEs. However, discrepant findings from subgroup analyses urgently call for further analysis.

Association Between Obesity and Cancer Mortality: An Internal Medicine Outpatient Clinic Perspective

Background

Obesity is one of the leading preventable causes of cancer that has a causal relationship with cancers of esophagus, breast and colon. Paradoxically, there are studies demonstrating that obesity is associated with improved survival in cancer patients. The aim of our study was to investigate the association of obesity and cancer mortality in adult patients.

Methods

Retrospective medical record review of 784 adult patients was performed who had a diagnosis of cancer and who were seen in our outpatient Internal Medicine Clinic between January 1, 2019 and December 31, 2019.

Results

Forty-three (5.2%) patients were cancer non-survivors and 741 (94.8%) were cancer survivors. The mean age of the cancer non-survivors group was significantly higher than that of the cancer survivors (78.7 vs. 68.0 years, respectively; P < 0.001). For every unit increase in age, there was 7.6% increased odds of cancer death (95% confidence interval (CI): 3-12%) (P = 0.001). Average body mass index (BMI) of the patients in the cancer non-survivors group was significantly lower than that of the cancer survivors group (25.0 vs. 28.1 kg/m²; P = 0.008). Non-obese patients had 4.9 times greater odds of cancer death (95% CI: 1.51 - 15.81) (P = 0.008). The mean glycosylated hemoglobin (HbA1c) was significantly higher in the cancer non-survivors group compared to the cancer survivors group (7.1% vs. 6.0%; P < 0.001), and for every unit increase in HbA1c there was 1.6 times greater odds of cancer death (95% CI: 1.14 - 2.23) (P = 0.006). Patients with peripheral artery disease (PAD) had 3.5 times greater odds of cancer death compared to those without PAD (95% CI: 1.18 - 10.19) (P = 0.023).

Conclusions

Non-obese patients with cancer had higher odds of cancer death. Rising HbA1c, increasing age, and presence of PAD were associated with increased cancer mortality.

Baseline Serum Cholesterol Levels Predict the Response of Patients with Advanced Non-Small Cell Lung Cancer to Immune Checkpoint Inhibitor-Based Treatment

Purpose

Although predictive markers of immune checkpoint inhibitor (ICI)-based treatments have been extensively studied, with the exception of programmed death ligand 1 (PD-L1), most are not widely used in the clinic due to poor effects or defective practicability. The aim of this study was to identify those patients with high baseline serum cholesterol who benefit from ICI-based treatments.

Patients and Methods

Patients with advanced non-small cell lung cancer (NSCLC) treated at Ningbo Medical Center, Li Huili Hospital between August 2017 and December 2019 were enrolled in this retrospective study. The Response Evaluation Criteria in Solid Tumors (RECIST, version 1.1) were used to evaluate the efficacy of the ICI-based treatment. Progression-free survival (PFS) and overall survival (OS) were calculated using the Kaplan–Meier survival curves and compared using the log rank test. Univariate and multivariate analyses were conducted using the logistic regression analysis and Cox proportional hazards model. A receiver operating characteristic curve was created, and the area under the curve (AUC) was calculated to compare the predictive value of baseline serum cholesterol with PD-L1 expression for patient response to ICI-based treatment.

Results

In our cohort of 169 NSCLC patients, the objective response rate (ORR) and disease control rate (DCR) of the treatment were significantly higher in patients with hypercholesterolemia (>5.18 mmol/L) than in those with hypocholesterolemia (ORR: 33.67% vs 14.08%, P=0.004; DCR: 68.37% vs 42.25%, P=0.001). The median PFS was 7.9 months in the hypercholesterolemia group, significantly longer than in the hypocholesterolemia group (4.4 months, 95% CI: 4.620–7.380, P<0.001). The median OS in the two groups were 11 months and 8 months, with 95% CIs of 8.980–10.420 (P<0.001). The AUC for the baseline level of cholesterol was 0.706 (P<0.001), while it was 0.643 (P=0.001) for PD-L1 expression.

Conclusion

The baseline serum cholesterol level is predictive of a clinical benefit for advanced NSCLC patients who undergo ICI-based treatment, and hence it is a promising prognostic indicator for ICI-based treatment of NSCLC.

High-risk bariatric candidates: does red-flagging predict the post-operative course?

BACKGROUND

Standards for preoperative bariatric patient selection include a thorough psychological evaluation. Using patients "red-flagged" during preoperative evaluations, this study aims to identify trends in long-term follow-up and complications to further optimize bariatric patient selection.

METHODS

A multidisciplinary team held a case review conference (CRC) to discuss red-flagged patients. A retrospective chart review compared CRC patients to control patients who underwent bariatric surgery in the same interval. Patients under 18 years old, undergoing revisional bariatric surgery, or getting band placement were excluded. High-risk characteristics causing CRC inclusion, preoperative demographics, percent follow-up and other postoperative outcomes were collected up to 5 years postoperatively. If univariate analysis revealed a significant difference between cohorts, multivariable analysis was performed.

RESULTS

Two hundred and fifty three patients were red-flagged from 2012 to 2013, of which 79 underwent surgery. After excluding 21 revisions, 3 non-adult patients, and 6 band patients, 55 red-flagged patients were analyzed in addition to 273 control patients. Patient age, sex, initial BMI, ASA, and co-morbidities were similar between groups, though flagged patients underwent RYGB more frequently than control patients. Notably, percent excess BMI loss and percent follow-up (6 months-5 years) were similar. In multivariable analysis, minor complications were more common in flagged patients; and marginal ulcers, endoscopy, and dilation for stenosis were more common in flagged versus control patients who underwent RYGB. Perforation, reoperation, revision, incisional hernia, and internal hernia were statistically similar in both groups, though reoperation was significantly more common in patients with multiple reasons to be flagged compared to controls.

CONCLUSION

Bariatric patients deemed high risk for various psychosocial issues have similar follow-up, BMI loss, and major complications compared to controls. High-risk RYGB patients have greater minor complications, warranting additional counseling of high-risk patients.

Obesity, Cancer, and Risk Reduction with Bariatric Surgery

The prevalence of noncommunicable diseases has increased dramatically in North America and throughout the world and is expected to continue increasing in coming years. Obesity has been linked to several types of cancers and is associated with increased morbidity and mortality following cancer diagnosis. Bariatric surgery has emerged as the prominent model to evaluate the effects of intentional weight loss on cancer incidence and outcomes. Current literature, comprising prospective cohort investigations, indicates site-specific reductions in cancer risk with select bariatric procedures. Future research is required to establish evidence-based indications for bariatric surgery in the context of cancer prevention.

Association of Obesity With Survival Outcomes in Patients With Cancer: A Systematic Review and Meta-analysis

Importance

Obesity, defined as a body mass index (BMI) greater than 30, is associated with a significant increase in the risk of many cancers and in overall mortality. However, various studies have suggested that patients with cancer and no obesity (ie, BMI 20-25) have worse outcomes than patients with obesity.

Objective

To assess the association between obesity and outcomes after a diagnosis of cancer.

Data Sources

PubMed, the Cochrane Library, and EMBASE were searched from inception to January 2020.

Study Selection

Studies reporting prognosis of patients with obesity using standard BMI categories and cancer were included. Studies that used nonstandard BMI categories, that were limited to children, or that were limited to patients with hematological malignant neoplasms were excluded. Screening was performed independently by multiple reviewers. Among 1892 retrieved studies, 203 (17%) met inclusion criteria for initial evaluation.

Data Extraction and Synthesis

The Meta-analysis of Observational Studies in Epidemiology (MOOSE) and Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines were reporting guideline was followed. Data were extracted by multiple independent reviewers. Risk of death, cancer-specific mortality, and recurrence were pooled to provide an adjusted hazard ratio (HR) with a 95% CI . A random-effects model was used for the retrospective nature of studies.

Main Outcomes and Measures

The primary outcome of the study was overall survival (OS) in patients with cancer, with and without obesity. Secondary end points were cancer-specific survival (CSS) and progression-free survival (PFS) or disease-free survival (DFS). The risk of events was reported as HRs with 95% CIs, with an HR greater than 1 associated with a worse outcome among patients with obesity vs those without.

Results

A total of 203 studies with 6 320 365 participants evaluated the association of OS, CSS, and/or PFS or DFS with obesity in patients with cancer. Overall, obesity was associated with a reduced OS (HR, 1.14; 95% CI, 1.09-1.19; P < .001) and CSS (HR, 1.17; 95% CI, 1.12-1.23; P < .001). Patients were also at increased risk of recurrence (HR, 1.13; 95% CI, 1.07-1.19; P < .001). Conversely, patients with obesity and lung cancer, renal cell carcinoma, or melanoma had better survival outcomes compared with patients without obesity and the same cancer (lung: HR, 0.86; 95% CI, 0.76-0.98; P = .02; renal cell: HR, 0.74; 95% CI, 0.53-0.89; P = .02; melanoma: HR, 0.74; 95% CI, 0.57-0.96; P < .001).

Conclusions and Relevance

In this study, obesity was associated with greater mortality overall in patients with cancer. However, patients with obesity and lung cancer, renal cell carcinoma, and melanoma had a lower risk of death than patients with the same cancers without obesity. Weight-reducing strategies may represent effective measures for reducing mortality in these patients.

Nutritional Status at Diagnosis and Pre-transplant Weight Loss Impact Outcomes of Acute Myeloid Leukemia Patients Following Allogeneic Stem Cell Transplantation

The nutritional status at diagnosis, as well as weight loss during chemotherapy, are important factors for morbidity and mortality in cancer patients. They might also influence outcomes in patients with acute myeloid leukemia (AML) receiving allogeneic hematopoietic stem cell transplantation (HSCT). We evaluated the body mass index (BMI) at diagnosis, prior to HSCT, and the BMI difference (ΔBMI = BMI_HSCT–BMI_diagnosis) in 662 AML patients undergoing allogeneic HSCT. Patients being obese at AML diagnosis had significantly higher nonrelapse mortality (NRM) and shorter overall survival (OS) after HSCT, but no distinct cumulative incidence of relapse than nonobese patients. Weight loss during chemotherapy (ΔBMI > –2) was a strong predictor for higher NRM and shorter OS in univariate and multivariate analyses. These results were observed across all European LeukemiaNet (ELN) 2017 risk groups but especially in patients with favorable or intermediate ELN2017 risk and patients transplanted in morphologic complete remission. Only in patients being obese at AML diagnosis, weight loss did not result in adverse outcomes. ΔBMI > –2 represents a strong, independent, and modifiable risk factor for AML patients treated with HSCT. Nutritional monitoring and supplementation during disease course might improve patients’ outcomes.

The impact of anthropometric parameters on colorectal cancer prognosis: A systematic review and meta-analysis

BACKGROUND & AIMS

Our study aims to clarify the relationship between weight parameters and colorectal cancer outcomes.

METHODS

NCBI, Embase, Cochrane, and Web of Science were searched from inception to December 2019. Studies reporting colorectal cancer (CRC) mortality, recurrence, disease-free survival, overall survival, overall mortality stratified by pre-diagnosis BMI or post-diagnosis weight change, were included in the analysis. Random effects analysis was performed for all outcomes, with heterogeneity assessed by the I² statistic.

RESULTS

Our meta-analysis included 45 studies encompassing 607,266 patients. Obesity was associated with increased odds of overall mortality and CRC-specific mortality compared to normal weight (p < 0.001). Patients with underweight BMI had increased odds of CRC-specific mortality compared to normal BMI but were not significantly different from obese BMI.

CONCLUSIONS

Obese and underweight BMI are associated with increased CRC-specific and overall mortality compared to normal BMI. Long term prognosis was similar for patients with obese and underweight BMI.

A mathematical model of food intake

The metabolic, hormonal and psychological determinants of the feeding behavior in humans are numerous and complex. A plausible model of the initiation, continuation and cessation of meals taking into account the most relevant such determinants would be very useful in simulating food intake over hours to days, thus providing input into existing models of nutrient absorption and metabolism. In the present work, a meal model is proposed, incorporating stomach distension, glycemic variations, ghrelin dynamics, cultural habits and influences on the initiation and continuation of meals, reflecting a combination of hedonic and appetite components. Given a set of parameter values (portraying a single subject), the timing and size of meals are stochastic. The model parameters are calibrated so as to reflect established medical knowledge on data of food intake from the National Health and Nutrition Examination Survey (NHANES) database during years 2015 and 2016.

The Obesity Paradox in Lung Cancer: Associations With Body Size Versus Body Shape

Background

The association between obesity and lung cancer (LC) remains poorly understood. However, other indices of obesity on the basis of body shape instead of body size have not been examined yet. The aim of this study was to evaluate the association between different indices of body size and body shape and the risk of LC. In particular, this study examined the association between A Body Shape Index, a more precise indicator of abdominal fat than traditional anthropometric measures, and the risk of LC.

Methods

In the prospective cohort the Rotterdam Study, we analysed data of 9,689 participants. LC diagnoses were based on medical records and anthropometric measurements were assessed at baseline. Cox-regression analyses with corresponding Hazard Ratios were used to examine the association between the anthropometric measurements and the risk of LC with adjustment for potential confounders. Potential non-linear associations were explored with cubic splines using the Likelihood ratio (LR) test.

Results

During follow-up, 319 participants developed LC. Body mass Index (BMI) was inversely associated with the risk of lung cancer (HR 0.94, 95% CI: 0.91–0.97) and persisted after excluding lung cancer cases during the first 10 years of follow-up. There was evidence for a non-linear association between BMI and the risk of lung cancer (0,04, df = 1), which indicated that the inverse association between BMI and lung cancer was mainly present in non-obese participants. Waist circumference (WC) (HR 1.03 95% CI: 1.01–1.05), Waist-to-Hip Ratio (WHR) (HR 1.23 95% CI: 1.09–1.38) and ABSI (A Body Shape Index) (HR 1.17 95% CI: 1.05–1.30) were positively and linearly associated with the risk of lung cancer.

Conclusions

Body shape rather than body size may be an important risk indicator of LC. Future research should focus on the role of visceral fat and the risk of LC as well as the underlying mechanisms.

The Relationship between Autonomic Regulation of Cardiovascular Function and Body Composition

Background

We investigated whether the results of autonomic function tests correlate with body composition and shape in healthy young people.

Methods

We conducted cardiovascular reflex tests (heart rate [HR] and blood pressure [BP] responses to the Valsalva maneuver and HR response to deep breathing) and the tilt table test with 32 subjects (19 males; mean age, 22.1±1.9 years). Participants also completed an anthropometric measurement sequence (weight; height; upper arm, hips, and waist circumference; triceps and subscapular skinfold), bioelectric impedance testing, and hand grip strength measurements.

Results

Markers of obesity, other anthropometric measures, functional measures, and the basal metabolic rate (BMR) were significantly positively correlated with systolic BP (SBP) and diastolic BP (DBP) in both the supine and tilted positions. There was a positive correlation between the difference in HR (ΔHR) between the tilt and supine body positions and markers of obesity, the functional marker of dominant handgrip strength, and BMR. Participants with a body mass index (BMI) <25 kg/m² had significantly lower median values of ΔHR, DBP in the tilt-test, SBP at rest, and SBP in the tilt-test than participants who had a BMI ≥25 kg/m² (10.55 vs. 21.95 bpm, P=0.003; 77.55 vs. 90.05 mmHg, P=0.045; 113.45 vs. 140.55 mmHg, P=0.013; 117.00 vs. 135.25 mmHg, P=0.006, respectively). Body fat percentage was identified as an independent positive predictor (β=0.993; 95% confidence interval [CI], 0.070 to 1.916; P=0.036) and body water percentage was an independent negative predictor of tilted SBP (β=-1.370; 95% CI, -2.634 to 0.106; P=0.035).

Conclusion

High sympathetic activity, as evaluated by cardiovascular regulation, correlates with a high share of adipose tissue in young healthy persons.

Optimal cut-off values for anthropometric measures of obesity in screening for cardiometabolic disorders in adults

Excessive accumulation of body fat (BF) promotes obesity, whilst posing a significant health hazard. There being no agreed, optimal quantifying methods, application of BF variable in clinical practice is not deemed an effective assessment option. The study, involving 4,735 patients (33.6% men), aged 45-64, aimed to identify optimal cut-off values for anthropometric indicators of obesity to evaluate cardiometabolic risk. A minimum P-value approach was applied to calculate the cut-offs for BF%. Threshold values for body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height (WHTR) ratio, facilitating optimal differentiation of cardiometabolic risk, were based on BF%, expressed as a binary classifier. The newly estimated cut-off values for predicting cardiometabolic risk, based on BMI, were lower than the referential obesity thresholds, whereas the threshold values of WC, WHR, and WHTR were higher. Apart from dyslipidemia, the odds of cardiometabolic disorders were higher, when the anthropometric indicators under study exceeded the cut-off points in both sexes. The proposed cut-offs proved instrumental in predicting cardiometabolic risk, whilst highlighting diagnostic and clinical potential of BF%, whereas BMI boasted the highest predictive potential. Cardiometabolic risk also proved significantly higher even in the overweight patients.

Risk factors of head and neck cancer mortality compared with those of all-cause and all-cancer mortalities

This study aimed to clarify the risk factors of head and neck cancer (HNC) mortality, relative to those of all-cause and all-cancer mortalities, using the Korean National Health Insurance Service-Health Screening Cohort (NHIS-HEALS) data set. Data from 238 HNC deaths, 14,769 all-cancer deaths, and 38,086 all-cause deaths were extracted during a median follow-up period of 9.5 years. Baseline characteristics were assessed via chi-square tests, t tests, and multivariable logistic regression. HNC mortality was found to be positively associated with male sex, past and current smoking habits, moderate-to-heavy alcohol consumption, and being underweight. In addition, serum gamma-glutamyltransferase level was found to be significantly elevated in cases of HNC mortality. In contrast, obesity, a history of diabetes, and fasting blood glucose levels were found to be inversely associated with overall HNC mortality. Among the HNC subtypes, mortality due to laryngeal cancer was most strongly associated with past and heavy cigarette smoking, and mortality due to oro-/hypopharyngeal cancer was most strongly associated with heavy alcohol consumption. The present study demonstrates that this nationwide, population-based NHIS-HEALS data set can provide useful information for health research and policy development.

Body weight of individuals with obesity decreases after a 6-month high pasta or low pasta Mediterranean diet weight-loss intervention

BACKGROUND & AIMS

The effect of pasta consumption within a low-energy Mediterranean diet on body weight regulation has been scarcely explored. This paper investigates the effect of two Mediterranean diets, which differed for lower or higher pasta intake, on body weight change in individuals with obesity.

METHODS & RESULTS

Forty-nine volunteers finished a quasi-experimental 6-month two-parallel group dietary intervention. Participants were assigned to a low-energy high pasta (HP) or to a low-energy low Pasta (LP) group on the basis of their pasta intake (HP ≥ 5 or LP ≤ 3 times/week). Anthropometrics, blood pressure and heart rate were measured every month. Weight maintenance was checked at month 12. Body composition (bioelectrical impedance analysis, BIA), food intake (24-h recall plus a 7-day carbohydrate record) and the perceived quality of life (36-item short-form health survey, SF-36) were assessed at baseline, 3 and 6 months. Blood samples were collected at baseline and month 6 to assess glucose and lipid metabolism. After 6-month intervention, body weight reduction was -10 ± 8% and -7 ± 4% in HP and LP diet, respectively, and it remained similar at month 12. Both dietary interventions improved anthropometric parameters, body composition, glucose and lipid metabolism, but no significant differences were observed between treatment groups. No differences were observed for blood pressure and heart rate between treatments and among times. HP diet significantly improved perception of quality of life for the physical component.

CONCLUSIONS

Independent of pasta consumption frequency, low-energy Mediterranean diets were successful in improving anthropometrics, physiological parameters and dietary habits after a 6-month weight-loss intervention. This trial was registered at clinicaltrials.gov as NCT03341650.

The association between fasting blood glucose trajectory and cancer risk in Chinese population without diabetes

To examine the associations between fasting blood glucose (FBG) trajectories, the changes in FBG over time and the risk of cancer, particularly for gastrointestinal cancer, we enrolled 69,742 participants without diabetes from the Kailuan cohort. FBG trajectories (2006-2010) were modeled by group-based trajectory modeling, and five trajectories were identified: low-increasing (n = 6,275), moderate-stable (n = 44,120), moderate-increasing (n = 10,149), elevated-decreasing (n = 5,244) and elevated-stable (n = 3,954). A total of 1,364 cancer cases were accumulated between 2010 and 2015, including 472 gastrointestinal cancer cases. We used Cox proportional hazards regression models to evaluate the associations between FBG trajectory patterns and the risk of cancer. We further assessed the associations while carefully controlling for initial body mass index (BMI) in 2006 and for changes in BMI during 2006-2010. Relative to the moderate-stable group, we found a higher hazard ratio (HR) for overall cancer in the low-increasing group (HR = 1.26, 95% confidence interval (CI) 1.06-1.50); and for gastrointestinal cancer in the elevated-stable group (HR = 1.66, 95% CI 1.22-2.26). Moreover, among participants with an initial BMI ≥25 kg/m² , a positive association with the low-increasing group was observed for both overall cancer and gastrointestinal cancer (HR = 1.54, 95% CI 1.17-2.04; HR = 1.65, 95% CI 1.02-2.66; respectively); among participants with a stable BMI (4.40% loss-5.15% gain), a positive association with the elevated-stable group was observed both for overall cancer and gastrointestinal cancer (HR = 1.43, 95% CI 1.10-1.87; HR = 1.95, 95% CI 1.33-2.86; respectively). Our study observed that FBG trajectories were associated with cancer risk among participants without diabetes, and BMI may modify the associations.

Surgical quality, cancer control and functional preservation: introducing a novel trifecta for robot-assisted partial nephrectomy

BACKGROUND

In order to improve standard reporting of outcomes after partial nephrectomy, different "trifecta" systems have been conceived. The subjective assessment of the included parameters and the unreliability for off-clamp procedures limited their reproducibility; their role in predicting functional and oncologic outcomes has never been assessed. We propose a new trifecta, based on standardized parameters, that summarizes PN outcomes regardless the clamping technique used and predicts main clinical outcomes.

METHODS

A retrospective analysis of a multicenter, multi-national dataset of patients with non-metastatic cT1-2 renal masses undergoing Robot-assisted partial nephrectomy was performed. Baseline demographic, clinical, pathologic and perioperative data were collected. Trifecta was defined as the coexistence of negative margins, no Clavien-Dindo ≥3 complications and ≤30% postoperative estimated glomerular filtration rate reduction. Univariable and multivariable regression analyses identified predictors of trifecta achievement. Kaplan-Meier method assessed differences in oncological outcomes between patients achieving trifecta or not. Univariable and multivariable Cox regression analysis identified predictors of newly onset chronic kidney disease stage ≥IIIa, recurrence-free and overall survival.

RESULTS

Overall, 1492 patients achieved trifecta. This cohort displayed significantly lower incidence of newly onset IIIa-V chronic kidney disease stages (all P<0.001), higher recurrence-free (P=0.009) and overall (P=0.014) survival probabilities. Patients achieving trifecta had a 65% reduced risk of developing newly onset stage IIIb-V Chronic Kidney Disease and a 55% reduced risk of overall mortality. Heterogeneity of surgical technique is a limitation.

CONCLUSIONS

This novel reproducible trifecta is based on standardized parameters and is an independent predictor of severe chronic kidney disease development and mortality.

The impact of body mass index on the efficacy of anti-PD-1/PD-L1 antibodies in patients with non-small cell lung cancer

OBJECTIVES

Body mass index (BMI) is reported to be associated with the efficacy of immune checkpoint inhibitors (ICIs) in solid tumors such as melanomas. However, it remains unclear whether such a relationship exists in non-small cell lung cancer (NSCLC) treated with programmed cell death protein 1 (PD-1)/ programmed death-ligand 1(PD-L1) inhibitors. The purpose of this study was to investigate the relationship between BMI and the efficacy of ICI treatment in patients with advanced NSCLC.

MATERIALS AND METHODS

The medical records of NSCLC patients who received PD-1/PD-L1 antibody monotherapy at nine institutions between December 2015 and May 2018 were reviewed retrospectively. The effect of BMI was investigated in two cohorts. Cohort 1 included patients with NSCLCs with high PD-L1 expression (≥ 50 %) treated with pembrolizumab as first-line therapy, and cohort 2 included patients with NSCLCs treated with nivolumab/pembrolizumab/atezolizumab as second- or later-line treatment.

RESULTS

A total of 513 from nine institutions were analyzed (84 in cohort 1, 429 in cohort 2). Using a BMI cut-off value of 22 kg/m2, which is an ideal BMI in our country (high BMI:22.0 and low BMI:22.0), there was no significant difference in the PFS or OS between the high and low BMI patients in cohort 1. However, in cohort 2, survival was significantly longer in patients with a high versus low BMI (PFS: 3.7 vs. 2.8 months, p = 0.036; OS: 15.4 vs. 13.5 months, p = 0.021).

CONCLUSION

BMI was significantly associated with the efficacy of ICIs in patients with NSCLC treated with second- or later-line PD-1/PD-L1 inhibitors in our cohort.

Air Pollution as a Cause of Obesity: Micro-Level Evidence from Chinese Cities

Chinese air pollution is obviously increasing, and the government makes efforts to strengthen air pollution treatment. Although adverse health effects gradually emerge, research determining individual vulnerability is limited. This study estimated the relationship between air pollution and obesity. Individual information of 13,414 respondents from 125 cities is used in the analysis. This study employs ordinary least squares (OLS) and multinomial logit model (m-logit) to estimate the impact of air pollution on obesity. We choose different air pollution and Body Mass Index (BMI) indicators for estimation. Empirical results show Air Quality Index (AQI) is significantly positively associated with the BMI score. As AQI adds one unit, the BMI score increases 0.031 (SE = 0.002; p < 0.001). The influence coefficients of particle size smaller than 2.5 μm (PM_2.5), particle size smaller than 10 μm (PM₁₀), carbon monoxide (CO), nitrogen dioxide (NO₂), ozone (O₃), and sulfur dioxide (SO₂) to the BMI score are 0.034 (SE = 0.002; p < 0.001), 0.023 (SE = 0.001; p < 0.001), 0.52 (SE = 0.095; p < 0.001), 0.045 (SE = 0.004; p < 0.001), 0.021 (SE = 0.002; p < 0.001), 0.008 (SE = 0.003; p = 0.015), respectively. Generally, air pollution has an adverse effect on body weight. CO is the most influential pollutant, and female, middle-aged, and low-education populations are more severely affected. The results confirm that the adverse health effects of air pollution should be considered when making the air pollution policies. Findings also provide justification for health interventions, especially for people with obesity.