scholarly journals Circulating inflammatory cytokines and risk of five cancers: a Mendelian randomization analysis

BMC Medicine ◽  
2022 ◽  
Vol 20 (1) ◽  
Author(s):  
Emmanouil Bouras ◽  
Ville Karhunen ◽  
Dipender Gill ◽  
Jian Huang ◽  
Philip C. Haycock ◽  
...  

Abstract Background Epidemiological and experimental evidence has linked chronic inflammation to cancer aetiology. It is unclear whether associations for specific inflammatory biomarkers are causal or due to bias. In order to examine whether altered genetically predicted concentration of circulating cytokines are associated with cancer development, we performed a two-sample Mendelian randomisation (MR) analysis. Methods Up to 31,112 individuals of European descent were included in genome-wide association study (GWAS) meta-analyses of 47 circulating cytokines. Single nucleotide polymorphisms (SNPs) robustly associated with the cytokines, located in or close to their coding gene (cis), were used as instrumental variables. Inverse-variance weighted MR was used as the primary analysis, and the MR assumptions were evaluated in sensitivity and colocalization analyses and a false discovery rate (FDR) correction for multiple comparisons was applied. Corresponding germline GWAS summary data for five cancer outcomes (breast, endometrial, lung, ovarian, and prostate), and their subtypes were selected from the largest cancer-specific GWASs available (cases ranging from 12,906 for endometrial to 133,384 for breast cancer). Results There was evidence of inverse associations of macrophage migration inhibitory factor with breast cancer (OR per SD = 0.88, 95% CI 0.83 to 0.94), interleukin-1 receptor antagonist with endometrial cancer (0.86, 0.80 to 0.93), interleukin-18 with lung cancer (0.87, 0.81 to 0.93), and beta-chemokine-RANTES with ovarian cancer (0.70, 0.57 to 0.85) and positive associations of monokine induced by gamma interferon with endometrial cancer (3.73, 1.86 to 7.47) and cutaneous T-cell attracting chemokine with lung cancer (1.51, 1.22 to 1.87). These associations were similar in sensitivity analyses and supported in colocalization analyses. Conclusions Our study adds to current knowledge on the role of specific inflammatory biomarker pathways in cancer aetiology. Further validation is needed to assess the potential of these cytokines as pharmacological or lifestyle targets for cancer prevention.

2010 ◽  
Vol 13 (2) ◽  
Author(s):  
Eric Sun ◽  
Anupam B Jena ◽  
Darius Lakdawalla ◽  
Carolina Reyes ◽  
Tomas J Philipson ◽  
...  

Prior literature has documented improvements in cancer survival over time. However, ambiguity remains over the relative contributions of improved treatment and earlier detection to survival gains. Using registry data, we developed a novel framework to estimate the relative contributions of advances in treatment and detection. Our approach compares changes in the probability of early detection, which we interpret as the effects of advances in detection, to improvements in stage-conditional survival, which we interpret as the effects of treatment. We applied this methodology using SEER data to estimate probabilities of early detection and stage-conditional survival curves for several cancers, by race, between 1988 and 2000. Survival increased for all of the cancers we examined, with blacks experiencing larger survival gains than whites for all cancers combined. Our baseline analysis found that treatment advances account for the vast majority of survival gains for all the cancers examined: breast cancer (83%), lung cancer (85%), colorectal cancer (76%), pancreatic cancer (100%), and non-Hodgkin’s lymphoma (96%). Compared to whites, treatments appear to explain a lower percentage of survival gains for blacks for all cancers combined; breast cancer, NHL, and pancreatic cancer show a higher percentage of survival gains than lung cancer; and roughly the same percentage for the colorectal cancer. These results are robust to sensitivity analyses examining potential length and lead time bias. Overall, our results suggest that while improved treatment and early detection both contributed to the recent gains in survival, the majority of gains from 1988 to 2000 appear to have been driven by better treatment, manifested by improved stage-conditional survival. These results have important policy implications regarding investment in research and development and the evaluation of efforts to improve cancer screening.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 6516-6516 ◽  
Author(s):  
Dawn L. Hershman ◽  
Joseph M. Unger ◽  
Hillyer Grace ◽  
Anna Moseley ◽  
Kathryn B Arnold ◽  
...  

6516 Background: Non-adherence to AI’s for breast cancer is common and increases risk of recurrence. Text messaging (TM) has been shown to increase adherence to medications for chronic conditions. We conducted a multicenter randomized trial to evaluate if TM reminders improve AI adherence. Methods: Patients taking an AI for ≥30 days and having ≥36 mos of planned therapy were eligible. Patients were randomly assigned 1:1 to receive either TM or NO-TM twice a week for 36 mos. Randomization was stratified by length of time on prior AI therapy ( < 12 (64%) vs. 12-24 mos (36%)) and AI class (anastrozole, letrozole, exemestane). Content themes of the 36 TMs focused on overcoming barriers to adherence. Patients were assessed for discontinuation of AIs every 3 mos for 36 mos. The primary outcome was time to non-adherence, where non-adherence was defined as urine AI metabolite assay results satisfying the following: < 10 [units], undetectable, or no submitted specimen. A stratified Log-rank test was conducted. Multiple sensitivity analyses were performed using Cox regression. Results: In total, 724 patients were registered between May, 2012 and September, 2013, among whom 696 (338/360 (93.9%) on TM and 338/364 (92.9%) on NO-TM) were eligible and adherent at baseline. Observed (time-independent) adherence at 36 mos was 55.4% for TM and 55.4% for NO-TM. The primary analysis showed no difference in time-to-adherence failure between patients on the TM and NO-TM arms (HR = 0.89, 95% CI:0.76,1.05 p = .18). An analysis of negative urine tests alone resulted in similar non-significant results. With missed appointments not counted as failures, time to self-reported discontinuation (89.6% vs. 89.7%; HR = 1.17, 95% CI:0.69-1.98, p = .57) and site reported discontinuation (78.1% vs. 81.1%; HR = 1.31, 95% CI:0.86-2.01, p = .21) were also similar between the 2 groups. Conclusions: As the first large long-term randomized trial of an intervention directed at improving AI adherence, we found high rates of AI discontinuation. Bi-weekly text reminders did not improve adherence to AIs compared to usual care. Improving long—term adherence will likely require sustained behavioral interventions and support. Clinical trial information: NCT01515800.


2020 ◽  
Author(s):  
Kelly Lloyd ◽  
Louise Hall ◽  
Lucy Ziegler ◽  
Samuel Smith

Purpose: Women’s worry about developing breast cancer may influence their decision to use preventive therapy. However, the direction of this relationship has been questioned. We prospectively investigated the relationship between breast cancer worry and uptake of preventive therapy. The socio-demographic and clinical factors associated with high breast cancer worry were also investigated.Methods: Women at increased risk of developing breast cancer were recruited from clinics across England (n=408). Participants completed a survey on their breast cancer worry, socio-demographic and clinical factors. Uptake of tamoxifen was recorded at 3-months (n=258 women, 63.2%). Both primary and sensitivity analyses were conducted using different classifications of low, medium and high worry.Results: 39.5% of respondents reported medium breast cancer worry at baseline and 21.2% reported high worry. Ethnic minority women were more likely to report high worry than white women (OR=3.02, 95%CI=1.02, 8.91, p=0.046). Women educated below degree level were more likely to report high worry than those with higher education (OR=2.29, 95%CI=1.28, 4.09, p=0.005). No statistically significant association was observed between worry and uptake. In the primary analysis, fewer respondents with medium worry at baseline initiated tamoxifen (low worry=15.5%, medium=13.5%, high=15.7%). In the sensitivity analysis, participants with medium worry reported the highest uptake of tamoxifen (19.7%).Conclusions: No association was observed between worry and uptake, although the relationship was affected by the categorisation of worry. Standardised reporting of the classification of worry is warranted to allow transparent comparisons across cohorts.


2018 ◽  
Author(s):  
Siddhartha P. Kar ◽  
Irene L. Andrulis ◽  
Hermann Brenner ◽  
Stephen Burgess ◽  
Jenny Chang-Claude ◽  
...  

AbstractObservational studies suggest that higher birth weight (BW) is associated with increased risk of breast cancer in adult life. We conducted a two-sample Mendelian randomisation (MR) study to assess whether this association is causal. Sixty independent single nucleotide polymorphisms (SNPs) known to be associated at P < 5 × 10-8 with BW were used to construct (1) a 41-SNP instrumental variable (IV) for univariable MR after removing SNPs with pleiotropic associations with other breast cancer risk factors and (2) a 49-SNP IV for multivariable MR after filtering SNPs for data availability. BW predicted by the 41-SNP IV was not associated with overall breast cancer risk in inverse-variance weighted (IVW) univariable MR analysis of genetic association data from 122,977 breast cancer cases and 105,974 controls (odds ratio = 0.86 per 500 g higher BW; 95% confidence interval: 0.73—1.01). Sensitivity analyses using four alternative methods and three alternative IVs, including an IV with 59 of the 60 BW-associated SNPs, yielded similar results. Multivariable MR adjusting for the effects of the 49-SNP IV on birth length, adult height, adult body mass index, age at menarche, and age at menopause using IVW and MR-Egger methods provided estimates consistent with univariable analyses. Results were also similar when all analyses were repeated after restricting to estrogen receptor-positive or -negative breast cancer cases. Point estimates of the odds ratios from most analyses performed indicated an inverse relationship between genetically-predicted BW and breast cancer. Thus, there is little evidence from MR to suggest that the previously observed association between higher BW and increased risk of breast cancer in adult life is causal.


Author(s):  
Hanla A. Park ◽  
Sonja Neumeyer ◽  
Kyriaki Michailidou ◽  
Manjeet K. Bolla ◽  
Qin Wang ◽  
...  

Abstract Background Despite a modest association between tobacco smoking and breast cancer risk reported by recent epidemiological studies, it is still equivocal whether smoking is causally related to breast cancer risk. Methods We applied Mendelian randomisation (MR) to evaluate a potential causal effect of cigarette smoking on breast cancer risk. Both individual-level data as well as summary statistics for 164 single-nucleotide polymorphisms (SNPs) reported in genome-wide association studies of lifetime smoking index (LSI) or cigarette per day (CPD) were used to obtain MR effect estimates. Data from 108,420 invasive breast cancer cases and 87,681 controls were used for the LSI analysis and for the CPD analysis conducted among ever-smokers from 26,147 cancer cases and 26,072 controls. Sensitivity analyses were conducted to address pleiotropy. Results Genetically predicted LSI was associated with increased breast cancer risk (OR 1.18 per SD, 95% CI: 1.07–1.30, P = 0.11 × 10–2), but there was no evidence of association for genetically predicted CPD (OR 1.02, 95% CI: 0.78–1.19, P = 0.85). The sensitivity analyses yielded similar results and showed no strong evidence of pleiotropic effect. Conclusion Our MR study provides supportive evidence for a potential causal association with breast cancer risk for lifetime smoking exposure but not cigarettes per day among smokers.


Genes ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 268 ◽  
Author(s):  
Emmanuel O. Adewuyi ◽  
Yadav Sapkota ◽  
Asa Auta ◽  
Kosuke Yoshihara ◽  
Mette Nyegaard ◽  
...  

Observational epidemiological studies indicate that endometriosis and migraine co-occur within individuals more than expected by chance. However, the aetiology and biological mechanisms underlying their comorbidity remain unknown. Here we examined the relationship between endometriosis and migraine using genome-wide association study (GWAS) data. Single nucleotide polymorphism (SNP) effect concordance analysis found a significant concordance of SNP risk effects across endometriosis and migraine GWAS. Linkage disequilibrium score regression analysis found a positive and highly significant genetic correlation (rG = 0.38, P = 2.30 × 10−25) between endometriosis and migraine. A meta-analysis of endometriosis and migraine GWAS data did not reveal novel genome-wide significant SNPs, and Mendelian randomisation analysis found no evidence for a causal relationship between the two traits. However, gene-based analyses identified two novel loci for migraine. Also, we found significant enrichment of genes nominally associated (Pgene < 0.05) with both traits (Pbinomial-test = 9.83 × 10−6). Combining gene-based p-values across endometriosis and migraine, three genes, two (TRIM32 and SLC35G6) of which are at novel loci, were genome-wide significant. Genes having Pgene < 0.1 for both endometriosis and migraine (Pbinomial-test = 1.85 ×10−°3) were significantly enriched for biological pathways, including interleukin-1 receptor binding, focal adhesion-PI3K-Akt-mTOR-signaling, MAPK and TNF-α signalling. Our findings further confirm the comorbidity of endometriosis and migraine and indicate a non-causal relationship between the two traits, with shared genetically-controlled biological mechanisms underlying the co-occurrence of the two disorders.


2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 6574-6574
Author(s):  
T. Younis ◽  
D. Rayson ◽  
C. Skedgel

6574 Background: Meta-analyses conducted by the Early Breast Cancer Trialists’ Collaborative Group (EBCTCG) demonstrated significant improvements in breast cancer (BC) outcomes associated with tamoxifen (TAM) and/or aromatase inhibitor (AI) therapy. We conducted an economic evaluation, based on these meta-analyses, to examine the cost-effectiveness (CE) of adjuvant TAM, sequential TAM-AI and upfront AI in post menopausal (PM) women with BC. Methods: A generic model was developed to calculate cumulative costs and quality adjusted life year gains (QALYG) over 25-year horizon in hypothetical cohorts of PM women with BC undergoing 5-year treatment with TAM alone, upfront AI, or sequential TAM-AI. We examined different cohorts with varying 10-year baseline recurrence risk (RR) without adjuvant hormonal treatments to reflect the natural spectrum of breast cancer disease encountered (low = 25%; average = 38%; high = 50%; very high = 75%). The efficacy outcomes were derived from the EBCTCG meta-analyses, with 10-year duration of benefit assumed for all strategies. Costs and utilities were derived from the literature, and local resources. The analysis took a direct payer perspective and reports costs in 2008 Cdn$. Costs and benefits were discounted at 3%. CE was based on the $50,000/QALY gained threshold. Adverse events were not included in the primary analysis. Sensitivity analyses were conducted. Results: Adjuvant hormonal treatments with TAM and/or AI are CE strategies in PM women with BC. The costs and QALYG associated with hormonal treatments were dependent on the baseline RR: CE estimates were more favorable in cohorts with higher as opposed to lower RR. The baseline RR also influenced the choice of the optimal economic strategy. Upfront AI was associated with higher costs and more QALY gains compared to TAM-AI. CE however was favorable in patients with average to very high RR and unfavorable in patients with low RR. Conclusions: Adjuvant treatments with TAM and/or AI are associated with favorable CE in PM women with BC. The optimal CE strategies, however, are dependent on the baseline RR without hormonal treatment. A risk-tailored hormonal treatment choice could optimize the overall health system efficiency. [Table: see text]


BMC Medicine ◽  
2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Maria Escala-Garcia ◽  
Anna Morra ◽  
Sander Canisius ◽  
Jenny Chang-Claude ◽  
Siddhartha Kar ◽  
...  

Abstract Background Observational studies have investigated the association of risk factors with breast cancer prognosis. However, the results have been conflicting and it has been challenging to establish causality due to potential residual confounding. Using a Mendelian randomisation (MR) approach, we aimed to examine the potential causal association between breast cancer-specific survival and nine established risk factors for breast cancer: alcohol consumption, body mass index, height, physical activity, mammographic density, age at menarche or menopause, smoking, and type 2 diabetes mellitus (T2DM). Methods We conducted a two-sample MR analysis on data from the Breast Cancer Association Consortium (BCAC) and risk factor summary estimates from the GWAS Catalog. The BCAC data included 86,627 female patients of European ancestry with 7054 breast cancer-specific deaths during 15 years of follow-up. Of these, 59,378 were estrogen receptor (ER)-positive and 13,692 were ER-negative breast cancer patients. For the significant association, we used sensitivity analyses and a multivariable MR model. All risk factor associations were also examined in a model adjusted by other prognostic factors. Results Increased genetic liability to T2DM was significantly associated with worse breast cancer-specific survival (hazard ratio [HR] = 1.10, 95% confidence interval [CI] = 1.03–1.17, P value [P] = 0.003). There were no significant associations after multiple testing correction for any of the risk factors in the ER-status subtypes. For the reported significant association with T2DM, the sensitivity analyses did not show evidence for violation of the MR assumptions nor that the association was due to increased BMI. The association remained significant when adjusting by other prognostic factors. Conclusions This extensive MR analysis suggests that T2DM may be causally associated with worse breast cancer-specific survival and therefore that treating T2DM may improve prognosis.


2019 ◽  
Vol 48 (3) ◽  
pp. 807-816 ◽  
Author(s):  
Niki L Dimou ◽  
Nikos Papadimitriou ◽  
Dipender Gill ◽  
Sofia Christakoudi ◽  
Neil Murphy ◽  
...  

Abstract Background There are observational data suggesting an inverse association between circulating concentrations of sex hormone binding globulin (SHBG) and risk of postmenopausal breast cancer. However, causality is uncertain and few studies have investigated this association by tumour receptor status. We aimed to investigate these associations under the causal framework of Mendelian randomization (MR). Methods We used summary association estimates extracted from published genome-wide association study (GWAS) meta-analyses for SHBG and breast cancer, to perform two-sample MR analyses. Summary statistics were available for 122 977 overall breast cancer cases, of which 69 501 were estrogen receptor positive (ER+ve) and 21 468 were ER-ve, and 105 974 controls. To control for potential horizontal pleiotropy acting via body mass index (BMI), we performed multivariable inverse-variance weighted (IVW) MR as the main analysis, with the robustness of this approach further tested in sensitivity analyses. Results The multivariable IVW MR analysis indicated a lower risk of overall (odds ratio [OR]: 0.94; 95% confidence interval [CI]: 0.90, 0.98; P: 0.006) and ER+ve (OR: 0.92; 95% CI: 0.87, 0.97; P: 0.003) breast cancer, and a higher risk of ER-ve disease (OR: 1.09; 95% CI: 1.00, 1.18; P: 0.047) per 25 nmol/L higher SHBG levels. Sensitivity analyses were consistent with the findings of the main analysis. Conclusions We corroborated the previous literature evidence coming from observational studies for a potentially causal inverse association between SHBG concentrations and risk of ER+ve breast cancer, but our findings also suggested a potential novel positive association with ER-ve disease that warrants further investigation, given the low prior probability of being true.


Genes ◽  
2022 ◽  
Vol 13 (1) ◽  
pp. 104
Author(s):  
Maddalena Ardissino ◽  
Rohin K. Reddy ◽  
Eric A. W. Slob ◽  
Kiran H. K. Patel ◽  
David K. Ryan ◽  
...  

It remains unclear whether the association between obstructive sleep apnoea (OSA), a form of sleep-disordered breathing (SDB), and atrial fibrillation (AF) is causal or mediated by shared co-morbidities such as obesity. Existing observational studies are conflicting and limited by confounding and reverse causality. We performed Mendelian randomisation (MR) to investigate the causal relationships between SDB, body mass index (BMI) and AF. Single-nucleotide polymorphisms associated with SDB (n = 29) and BMI (n = 453) were selected as instrumental variables to investigate the effects of SDB and BMI on AF, using genetic association data on 55,114 AF cases and 482,295 controls. Primary analysis was conducted using inverse-variance weighted MR. Higher genetically predicted SDB and BMI were associated with increased risk of AF (OR per log OR increase in snoring liability 2.09 (95% CI 1.10–3.98), p = 0.03; OR per 1-SD increase in BMI 1.33 (95% CI 1.24–1.42), p < 0.001). The association between SDB and AF was not observed in sensitivity analyses, whilst associations between BMI and AF remained consistent. Similarly, in multivariable MR, SDB was not associated with AF after adjusting for BMI (OR 0.68 (95% CI 0.42–1.10), p = 0.12). Higher BMI remained associated with increased risk of AF after adjusting for OSA (OR 1.40 (95% CI 1.30–1.51), p < 0.001). Elevated BMI appears causal for AF, independent of SDB. Our data suggest that the association between SDB, in general, and AF is attributable to mediation or confounding from obesity, though we cannot exclude that more severe SDB phenotypes (i.e., OSA) are causal for AF.


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