scholarly journals Psychological Stress and Cellular Aging in Cancer: A Meta-Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-23 ◽  
Author(s):  
Joanna Kruk ◽  
Basil Hassan Aboul-Enein ◽  
Joshua Bernstein ◽  
Magdalena Gronostaj
Keyword(s):  
Risk Factors ◽  
Cancer Risk ◽  
Psychological Stress ◽  
Life Events ◽  
Aging Process ◽  
Cellular Aging ◽  
Current Evidence ◽  
Epidemiological Evidence ◽  
Risk Of Cancer ◽  
Severe Life Events

Background. Epidemiological evidence continues to accumulate on the effect of psychosocial and behavioral factors in relation to cancer risk, progression, and mortality. Material and Methods. This article presents the current evidence on the relationship between psychological stress and the risk of cancer and cellular aging process. Ten databases were searched to identify publications up to September 2019. References from retrieved articles were also reviewed. We included nine review papers and 26 cohort or case-control studies based on inclusion/exclusion criteria. Results. Results of previously published review articles did not show consistent evidence for the association between cancer risk and psychological stress, while previous evidence is stronger regarding the role of chronic psychological stress on cancer growth and metastasis and aging. In seven observational studies, severe life events, anxiety, depression, insufficient social support perception, or avoiding coping strategy were significantly associated with breast cancer risk. For other specific types of cancer, 11 studies reported increased risk factors for stressful life events, and two others found increased mortality or a decline in treatment adherence. Conclusions. Recent epidemiological evidence generally suggests psychosocial factors may be considered risk factors for specific types of cancer and play a key role in the cellular aging process. Understanding molecular mechanisms of the stress interaction is important in cancer management and prevention. The psychological stressors should be considered when developing or evaluating change in psychosocial practice.

Prediction of 10-year and lifetime risk of cancer in individual patients with established cardiovascular disease, results from UCC-SMART and CANTOS

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C.C Van 't Klooster ◽  
P.M Ridker ◽  
N.R Cook ◽  
J.G.J.V Aerts ◽  
J Westerink ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Risk Factors ◽  
Lung Cancer ◽  
Cancer Risk ◽  
Prediction Models ◽  
Funding Source ◽  
Cancer Models ◽  
Total Cancer ◽  
The Cantos ◽  
Risk Of Cancer

Abstract Background As treatment for cardiovascular disease (CVD) has improved substantially over the last decades, more patients survive acute CVD manifestations and are at risk for developing cancer as well as recurrent CVD. Due to similar risk factors, including smoking and obesity, patients with established CVD are at higher risk for cancer. Objectives The aim of this study was to develop and externally validate prediction models for the estimation of 10-year and lifetime risk for total, colorectal, and lung cancer in patients with established CVD. Methods Data from patients with established CVD from the UCC-SMART prospective cohort study (N=7,280) were used for model development, and data from the CANTOS trial (N=9,322) were used for model validation. Predictors were selected based on previously published cancer risk prediction models or cancer risk factors, easy clinical availability, and availability in the derivation dataset (UCC-SMART cohort). A Fine and Gray competing risk-adjusted lifetime model was developed for total, colorectal, and lung cancer. Results Selected predictors were age, sex, smoking status, weight, height, alcohol use, antiplatelet use, diabetes mellitus, and C-reactive protein. External calibration for 4-year risks of the total cancer, colorectal cancer, and lung cancer models was good (Figure 1), and C-statistics were 0.63–0.74 in the CANTOS trial population. Median predicted lifetime risks in CANTOS were 26% (range 1%-52%) for total cancer, 4% (range 0%-13%) for colorectal cancer, and 5% (range 0%-37%) for lung cancer. Conclusions Lifetime and 10-year risk of cancer can be estimated with easy to measure variables in patients with established CVD, showing a wide distribution of predicted lifetime risks for total cancer and lung cancer. Using these lifetime models in clinical practice could increase understanding of cancer risk and aid in emphasizing healthy lifestyle changes. Figure 1. Calibration plots of cancer models Funding Acknowledgement Type of funding source: Public hospital(s). Main funding source(s): University Medical Center; Additional funding: CANTOS trial was funded by Novartis Pharmaceuticals.

scholarly journals Tea Drinking and Risk of Cancer Incidence: A Meta-Analysis of Prospective Cohort Studies and Evidence Evaluation

2020 ◽  
Author(s):  
Long-Gang Zhao ◽  
Zhuo-Ying Li ◽  
Guo-Shan Feng ◽  
Xiao-Wei Ji ◽  
Yu-Ting Tan ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Green Tea ◽  
Dose Response ◽  
Prospective Studies ◽  
Prediction Interval ◽  
Meta Analysis ◽  
Black Tea ◽  
Current Evidence ◽  
Tea Drinking ◽  
Risk Of Cancer

ABSTRACT Here we provide a comprehensive meta-analysis to summarize and appraise the quality of the current evidence on the associations of tea drinking in relation to cancer risk. PubMed, Embase, and the Cochrane Database of Systematic Reviews were searched up to June 2020. We reanalyzed the individual prospective studies focused on associations between tea drinking and cancer risk in humans. We conducted a meta-analysis of prospective studies and provided the highest- versus lowest-category analyses, dose-response analyses, and test of nonlinearity of each association by modeling restricted cubic spline regression for each type of tea. We graded the evidence based on the summary effect size, its 95% confidence interval, 95% prediction interval, the extent of heterogeneity, evidence of small-study effects, and excess significance bias. We identified 113 individual studies investigating the associations between tea drinking and 26 cancer sites including 153,598 cancer cases. We assessed 12 associations for the intake of black tea with cancer risk and 26 associations each for the intake of green tea and total tea with cancer risk. Except for an association between lymphoid neoplasms with green tea, we did not find consistent associations for the highest versus lowest categories and dose-response analyses for any cancer. When grading current evidence for each association (number of studies ≥2), weak evidence was detected for lymphoid neoplasm (green tea), glioma (total tea, per 1 cup), bladder cancer (total tea, per 1 cup), and gastric and esophageal cancer (tea, per 1 cup). This review of prospective studies provides little evidence to support the hypothesis that tea drinking is associated with cancer risk. More well-designed studies are still needed to identify associations between tea intake and rare cancers.

Prostate cancer risk calculators for healthy population: A systematic review (Preprint)

2021 ◽  
Author(s):  
Antonio Bandala-Jacques ◽  
Kevin Daniel Castellanos Esquivel ◽  
Fernanda Pérez-Hurtado ◽  
Cristobal Hernández-Silva ◽  
Nancy Reynoso-Noverón
Keyword(s):  
Prostate Cancer ◽  
Risk Factors ◽  
Systematic Review ◽  
Cancer Risk ◽  
Digital Rectal Examination ◽  
Prostate Cancer Risk ◽  
Individual Risk ◽  
Healthy Population ◽  
Risk Of Cancer ◽  
The Impact

BACKGROUND Screening for prostate cancer has long been a debated, complex topic. The use of risk calculators for prostate cancer is recommended for determining patients’ individual risk of cancer and the subsequent need for a prostate biopsy. These tools could lead to a better discrimination of patients in need of invasive diagnostic procedures and for optimized allocation of healthcare resources OBJECTIVE To systematically review available literature on current prostate cancer risk calculators’ performance in healthy population, by comparing the impact factor of individual items on different cohorts, and the models’ overall performance. METHODS We performed a systematic review of available prostate cancer risk calculators targeted at healthy population. We included studies published from January 2000 to March 2021 in English, Spanish, French, Portuguese or German. Two reviewers independently decided for or against inclusion based on abstracts. A third reviewer intervened in case of disagreements. From the selected titles, we extracted information regarding the purpose of the manuscript, the analyzed calculators, the population for which it was calibrated, the included risk factors, and the model’s overall accuracy. RESULTS We included a total of 18 calculators across 53 different manuscripts. The most commonly analyzed ones were they PCPT and ERSPC risk calculators, developed from North American and European cohorts, respectively. Both calculators provided high precision for the diagnosis of aggressive prostate cancer (AUC as high as 0.798 for PCPT and 0.91 for ERSPC). We found 9 calculators developed from scratch for specific populations, which reached diagnostic precisions as high as 0.938. The most commonly included risk factors in the calculators were age, PSA levels and digital rectal examination findings. Additional calculators included race and detailed personal and family history CONCLUSIONS Both the PCPR and the ERSPC risk calculators have been successfully adapted for cohorts other than the ones they were originally created for with no loss of diagnostic accuracy. Furthermore, designing calculators from scratch considering each population’s sociocultural differences has resulted in risk tools that can be well adapted to be valid in more patients. The best risk calculator for prostate cancer will be that which was has been calibrated for its intended population and can be easily reproduced and implemented CLINICALTRIAL CRD42021242110

scholarly journals Red meat consumption is associated with an increased overall cancer risk: a prospective cohort study in Korea

2014 ◽  
Vol 112 (2) ◽  
pp. 238-247 ◽  
Author(s):  
Gyung-Ah Wie ◽  
Yeong-Ah Cho ◽  
Hyun-hee Kang ◽  
Kyoung-A Ryu ◽  
Min-Kyoung Yoo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cancer Research ◽  
Cohort Study ◽  
Cancer Risk ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Meat Consumption ◽  
Red Meat ◽  
Dietary Factors ◽  
Risk Of Cancer

Cancer is a leading cause of death, and the dietary pattern in Korea is changing rapidly from a traditional Korean diet to a Westernised diet. In the present study, we investigated the effects of dietary factors on cancer risk with a prospective cohort study. Among 26 815 individuals who participated in cancer screening examinations from September 2004 to December 2008, 8024 subjects who completed a self-administered questionnaire concerning demographic and lifestyle factors, and a 3 d food record were selected. As of September 2013, 387 cancer cases were identified from the National Cancer Registry System, and the remaining individuals were included in the control group. The hazard ratio (HR) of cancer for the subjects older than or equal to 50 years of age was higher (HR 1·80, 95 % CI 1·41, 2·31; P< 0·0001) than that for the other subjects. Red meat consumption, Na intake and obesity (BMI ≥ 25 kg/m2) were positively associated with overall cancer incidence in men (HR 1·41, 95 % CI 1·02, 1·94; P= 0·0382), gastric cancer (HR 2·34, 95 % CI 1·06, 5·19; P= 0·0365) and thyroid cancer (HR 1·56, 95 % CI 1·05, 2·31; P= 0·0270), respectively. Participants who had at least three dietary risk factors among the high intakes of red meat and Na, low intakes of vegetables and fruits, and obesity suggested by the World Cancer Research Fund/American Institute for Cancer Research at baseline tended to have a higher risk of cancer than the others (HR 1·26, 95 % CI 0·99, 1·60; P= 0·0653). In summary, high intakes of red meat and Na were significant risk factors of cancer among Koreans.

Public perception of cancer risk.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 1559-1559
Author(s):  
Lisa Burns ◽  
Ursula Kenny ◽  
Laura Healy ◽  
Samantha Cushen ◽  
Seamus O'Reilly ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cancer Risk ◽  
Cancer Prevention ◽  
Public Perception ◽  
Food Irradiation ◽  
Cooking Methods ◽  
Processed Meat ◽  
Cancer Risk Factors ◽  
Increased Risk ◽  
Risk Of Cancer

1559 Background: The public’s knowledge of cancer risk factors has rarely been studied in Ireland. An understanding of this can help inform cancer prevention programs. Methods: An online surveywas used to assess the public’s perception of cancer risk. Results: 525 people completed the survey. Mean age was 40yrs (range:18-74), 82% were female and 36% had college degrees. 81% were concerned about developing cancer, however 20% believed if cancer was in their family there was nothing they could do about personal cancer risk. 20% did not know that cancer risk increased with age, 27% believed that >50% of cancers are inherited, and 54% believed 10-20% of cancers are inherited. The top 5 risk factors listed by respondents were: smoking 85%, diet 74%, alcohol 44%, genetics 38%, and environment 31%. Only 32% were aware that obesity is a risk factor for cancer and 33% did not think the location of fat was important for cancer prevention. When given a list of potential behaviours relevant to cancer risk 33% believed wearing a tight bra and 49% believed a blow to the breast could increase cancer risk. 87% believed genetics ‘strongly’ increased risk, 85% stress, and 86% believed cell phones increased risk. 12% believed ‘luck’ was important in avoiding cancer, 35% thought ‘detox’ diets and 61% believed organic food reduced risk. Only 33% agreed with the statement that ‘frozen vegetables/fruit are as good as fresh’, 40% were unaware of the link between red meat and cancer. The following foods were thought to increase risk: cheese (29%), soy (9%), milk chocolate (30%), red wine (25%), and eggs (11%). Aerosol use (71%), cleaning agents (73%), smoking (99%), cooking methods (68%), processed meat (86%), food irradiation (77%), and genetically modified foods (81%) were believed to increased risk. The majority were aware that berries, green tea, garlic, brassica vegetables and physical activity of 30 minutes a day can reduce cancer risk. Conclusions: There is a sizable portion of the population who are misinformed about cancer risk. Most are aware of classic risk factors (e.g. smoking, poor diet). Many overestimate risk attributable to genetics, environment, stress, and underestimate age, obesity and sunlight. One in 5 believes lifetime risk of cancer is non-modifiable.

scholarly journals Association between apurinic/apyrimidinic endonuclease 1 rs1760944 T>G polymorphism and susceptibility of cancer: a meta-analysis involving 21764 subjects

2019 ◽  
Vol 39 (12) ◽  
Author(s):  
Guowen Ding ◽  
Yu Chen ◽  
Huiwen Pan ◽  
Hao Qiu ◽  
Weifeng Tang ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Publication Bias ◽  
Protective Factor ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Pooled Analysis ◽  
Case Control ◽  
Current Evidence ◽  
Case Control Studies ◽  
Risk Of Cancer

Abstract Background: Previous case–control studies have suggested that apurinic/apyrimidinic endonuclease 1 (APE1) rs1760944 T&gt;G polymorphism may be associated with cancer risk. Here, we carried out an updated meta-analysis to focus on the correlation between APE1 rs1760944 T&gt;G locus and the risk of cancer. Methods: We used the crude odds ratios (ORs) with their 95% confidence intervals (CIs) to evaluate the possible relationship between the APE1 rs1760944 T&gt;G polymorphism and cancer risk. Heterogeneity, publication bias and sensitivity analysis were also harnessed to check the potential bias of the present study. Results: Twenty-three independent studies involving 10166 cancer cases and 11598 controls were eligible for this pooled analysis. We found that APE1 rs1760944 T&gt;G polymorphism decreased the risk of cancer in four genetic models (G vs. T: OR, 0.87; 95% CI, 0.83–0.92; P&lt;0.001; GG vs. TT: OR, 0.77; 95% CI, 0.69–0.86; P&lt;0.001; GG/TG vs. TT: OR, 0.83; 95% CI, 0.77–0.89, P&lt;0.001 and GG vs. TT/TG: OR, 0.85; 95% CI, 0.80–0.92, P&lt;0.001). Results of subgroup analyses also demonstrated that this single-nucleotide polymorphism (SNP) modified the risk among lung cancer, breast cancer, osteosarcoma, and Asians. Evidence of publication bias was found in the present study. When we treated the publication bias with ‘trim-and-fill’ method, the adjusted ORs and CIs were not significantly changed. Conclusion: In conclusion, current evidence highlights that the APE1 rs1760944 T&gt;G polymorphism is a protective factor for cancer susceptibility. In the future, case–control studies with detailed risk factors are needed to confirm or refute our findings.

scholarly journals Cancer Incidence and Mortality in Patients Treated Either With RAI or Thyroidectomy for Hyperthyroidism

2015 ◽  
Vol 100 (10) ◽  
pp. 3710-3717 ◽  
Author(s):  
Essi Ryödi ◽  
Saara Metso ◽  
Pia Jaatinen ◽  
Heini Huhtala ◽  
Rauni Saaristo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cancer Risk ◽  
Respiratory Tract ◽  
Cancer Incidence ◽  
Cancer Mortality ◽  
Hazard Ratio ◽  
Risk Of Cancer ◽  
Shared Risk ◽  
Hyperthyroid Patients

Context: Some previous studies have suggested increased cancer risk in hyperthyroid patients treated with radioactive iodine (RAI). It is unclear whether the excess cancer risk is attributable to hyperthyroidism, its treatment, or the shared risk factors of the two diseases. Objective: The objective was to assess cancer morbidity and mortality in hyperthyroid patients treated with either RAI or surgery. Patients: We identified 4334 patients treated surgically for hyperthyroidism in Finland during 1986–2007 from the Hospital Discharge Registry and 1814 patients treated with RAI for hyperthyroidism at Tampere University Hospital. For each patient, three age- and gender-matched controls were chosen. Information on cancer diagnoses was obtained from the Cancer Registry. The follow-up began 3 months after the treatment and ended at cancer diagnosis, death, emigration, or the common closing date (December 31, 2009). Results: The overall cancer incidence was not increased among the hyperthyroid patients compared to their controls (rate ratio [RR], 1.05; 95% confidence interval [CI], 0.96–1.15). However, the risk of cancers of the respiratory tract (RR, 1.46; 95% CI, 1.05–2.02) and the stomach (RR, 1.64; 95% CI, 1.01–2.68) was increased among the patients. The overall cancer mortality did not differ between the patients and the controls (RR, 1.08; 95% CI, 0.94–1.25). The type of treatment did not affect the overall risk of cancer (hazard ratio for RAI vs thyroidectomy, 1.03; 95% CI, 0.86–1.23) or cancer mortality (hazard ratio, 1.04; 95% CI, 0.91–1.21). Conclusions: In this cohort of Finnish patients with hyperthyroidism treated with thyroidectomy or RAI, the overall risk of cancer was not increased, although an increased risk of gastric and respiratory tract cancers was seen in hyperthyroid patients. Based on this large-scale, long-term follow-up study, the increased cancer risk in hyperthyroid patients is attributable to hyperthyroidism and shared risk factors, not the treatment modality.

scholarly journals Cancer Risk of Patients With Overweight and Obesity: A Predictive Model

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A6-A6
Author(s):  
Alexander Turchin ◽  
Fritha Morrison ◽  
Maria Shubina ◽  
Shraddha Shinde ◽  
Nadia Ahmad ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cancer Risk ◽  
Predictive Model ◽  
Cox Regression ◽  
Overweight And Obesity ◽  
Training Dataset ◽  
Additional Patient ◽  
History Of ◽  
Risk Of Cancer ◽  
History Of Cancer

Abstract Obesity is the most common chronic disease in the U.S. Patients with obesity have many risk factors for cancer, often modifiable. It is important to identify patients with obesity at high risk of cancer to be able to appropriately direct treatment and resources. Given that the risk pool is large, it is imperative to identify a clinically meaningful metric for risk stratification to help guide interventions. We conducted an observational study of electronic medical records data for 394,161 adults aged between 18 and 80, with BMI ≥ 25 kg/m2 and without baseline history of cancer between 2000 and 2019. We first identified a literature-based pool of risk factors for cancer onset and conducted variable selection by applying least absolute shrinkage and selection operator (LASSO) penalized Cox regression with ten-fold cross-validation on an 80% training dataset. Effects of the selected variables on risk of cancer (excluding non-melanoma skin cancer) onset were assessed using Cox regression on the 80% training dataset. The resulting model accuracy was evaluated using Cox regression on a withheld 20% validation dataset. Participants had a mean age of 46.7 (SD: 15.5) years and mean body mass index (BMI) of 30.5 (SD: 5.4) kg/m2; 51.9% were women. Over a mean of 7.5 years of follow-up, 34,679 (8.8%) of study patients developed cancer. The predictive model achieved a Harrell’s C-statistic of 0.73. The greatest risk of cancer incidence was associated with HIV infection (HR 2.22; 95% CI 1.88–2.63; 0.27% of patients), older age (HR 2.05 per 1 SD = 15.5 years; 95% CI 2.01- 2.09), hepatitis C infection (HR 1.48; 95% CI 1.34–1.63; 0.96% of patients), and family history of cancer (HR 1.44; 95% CI 1.41–1.48; 42.5% of patients). Additional patient characteristics found in &gt;5% of patients that also carried risk included proteinuria (5.8% of patients; HR 1.23; 95% CI 1.18–1.29) and history of smoking (40.7% of patients; HR 1.20; 95% CI 1.17–1.23). Each standard deviation increase in BMI (5.4 kg/m2) was associated with a hazard ratio of 1.06 (95% CI 1.05–1.07) for incident cancer. It is feasible to use predictive modeling to identify patients with overweight and obesity at high cancer risk. This approach could be utilized to guide population management and clinical treatment decisions.

Meta-analysis of cancer risk among users of insulin glargine.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 1510-1510
Author(s):  
Alice Koechlin ◽  
Mathieu Boniol ◽  
Chris Robertson ◽  
Geremia Bolli ◽  
Julio Rosenstock ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prostate Cancer ◽  
Colorectal Cancer ◽  
Cancer Risk ◽  
Insulin Glargine ◽  
Meta Analysis ◽  
Short Exposure ◽  
Current Evidence ◽  
Meta Analyses ◽  
Risk Of Cancer

1510 Background: The association between diabetes, its risk factors and treatments, and cancer risk and death is now high on the clinical and research agenda. Methods: All data regarding cancer risk and use of insulin glargine has been assembled and meta-analyses performed using state-of-the-art statistical methodology. Glargine is the most studied insulin in this regard. A random effects model was employed with tests for heterogeneity (I2) and publication bias. These meta-analyses are based on reports from epidemiological studies involving a total of 907,008 diabetic subjects and 2,597,602 person-years of observation. Results: Based on independent estimates from 14 studies, the Summary Relative Risk (SRR) for all forms of cancer was (SRR=0.90, 95% CI (0.82, 0.98)) and for breast cancer SRR=1.14 (95% CI (1.00, 1.29)). For new users of glargine, from 7 studies, the SRR for breast cancer was SRR=1.20 (95% CI (0.90, 1.58)). Based on independent estimates for 9 studies, for colorectal cancer the SRR was 0.73 (95% CI (0.59, 0.91)) and for prostate cancer SRR=1.16 (95% CI (1.03, 1.30)). Overall, the risk of developing cancer among users of insulin glargine is reduced compared to the risk of users of other insulins. Similarly, the risk of colorectal cancer is reduced among users of glargine. While above unity, the risks of breast cancer and prostate cancer are increased marginally. Potential limitations to this meta-analysis include that the comparison group was not the same in all studies but this could also be seen as a strength. This is not likely to invalidate the findings of this analysis nor would the fact that different adjustments were made in the individual studies. Conclusions: The current evidence gives no support to the hypothesis that insulin glargine is associated with an increased risk of cancer as compared to other insulins and should give reassurance to physicians and their patients. Given the short exposure time possible to glargine (less than 5 years maximum), it is not biologically plausible to have a causal link to common forms of cancer.

Diet and cancer: Risk factors and epidemiological evidence

Maturitas ◽  
2014 ◽  
Vol 77 (3) ◽  
pp. 202-208 ◽  
Author(s):  
Raúl Baena Ruiz ◽  
Pedro Salinas Hernández
Keyword(s):  
Risk Factors ◽  
Cancer Risk ◽  
Epidemiological Evidence ◽  
Cancer Risk Factors ◽  
Diet And Cancer
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