scholarly journals Body Mass Index (BMI) is not a cancer risk factor for BRCA1/2 carriers: a Systematic Review and Meta-analysis of case-control studies

Author(s):  
Mario Giuseppe Mirisola ◽  
Antonio Galvano ◽  
Valerio Gristina ◽  
Maria La Mantia ◽  
Sofia Cutaia ◽  
...  

Abstract Background Breast cancer susceptibility gene 1 and 2 (BRCA 1/2) pathogenic germline variants (gPV) are involved in an increased cumulative risk for cancers (above all breast and ovarian cancers). Overweight/obesity is a well-known systemic condition conferring higher cancer risk too. Methods We performed a systematic review collecting data on Medline, Scopus, and Cochrane-Library database until August 2020. We included four case-control studies (Fu et al, Bissonauth et al, Khachatryan et al, Nkondjoc et al) assessing the risk for cancer according to different BMI strata in BRCA-positive healthy individuals. Results Four studies for a total of 1148 patients evaluated breast and ovarian cancer risk in a healthy BRCA1/2 population. No other tumor histotypes risk has been observed within the selected population. Pooled results demonstrated that different BMI conditions (lower or upper 25 kg/m2) were not associated with increased cancer risk (OR 1.15, 95% CI 0.92–1.44 and OR 1.48, 95% CI 0.84–2.62 respectively). Additionally, no differences were reported according to menopausal status. Conclusion Despite the need for other prospective investigations in larger cohorts, our results suggest no BMI contribution in cancer risk in this special population, determining a new important point of view and a new potential field of investigation.

Author(s):  
Veronika S. Biller ◽  
Michael F. Leitzmann ◽  
Anja M. Sedlmeier ◽  
Felix F. Berger ◽  
Olaf Ortmann ◽  
...  

AbstractSedentary behaviour is an emerging risk factor for several site-specific cancers. Ovarian cancers are often detected at late disease stages and the role of sedentary behaviour as a modifiable risk factor potentially contributing to ovarian cancer risk has not been extensively examined. We systematically searched relevant databases from inception to February 2020 for eligible publications dealing with sedentary behaviour in relation to ovarian cancer risk. We conducted a systematic review and meta-analysis, calculating summary relative risks (RR) and 95% confidence intervals (CI) using a random-effects model. We calculated the E-Value, a sensitivity analysis for unmeasured confounding. We tested for publication bias and heterogeneity. Seven studies (three prospective cohort studies and four case–control studies) including 2060 ovarian cancer cases were analysed. Comparing highest versus lowest levels of sedentary behaviour, the data indicated a statistically significant increase in the risk of ovarian cancer in relation to prolonged sitting time (RR = 1.29, 95% CI = 1.07–1.57). Sub-analyses of prospective cohort studies (RR = 1.33, 95% CI = 0.92–1.93) and case–control studies (RR = 1.28, 95% CI = 0.98–1.68) showed statistically non-significant results. Sensitivity analysis showed that an unmeasured confounder would need to be related to sedentary behaviour and ovarian cancer with a RR of 1.90 to fully explain away the observed RR of 1.29. Our analyses showed a statistically significant positive association between sedentary behaviour and ovarian cancer risk.


2010 ◽  
Vol 91 (6) ◽  
pp. 1752-1763 ◽  
Author(s):  
Fariba Kolahdooz ◽  
Jolieke C van der Pols ◽  
Christopher J Bain ◽  
Geoffrey C Marks ◽  
Maria Celia Hughes ◽  
...  

2015 ◽  
Vol 25 (6) ◽  
pp. 961-967 ◽  
Author(s):  
Lijie Wang ◽  
Beihua Kong

ObjectiveStudies investigating the association betweenmatrix metalloproteinase-1(MMP1) gene promoter 1607–base pair (bp) polymorphism and ovarian cancer risk have yielded conflicting results.MethodsWe therefore carried out a meta-analysis of 754 ovarian cancer cases and 1184 controls from 5 published case-control studies. The strength of the association betweenMMP11607-bp polymorphism and ovarian cancer susceptibility was calculated using pooled odds ratios (ORs) with corresponding 95% confidence intervals (CIs).ResultsThe results suggest that no statistically significant associations exist betweenMMP11607-bp polymorphisms and ovarian cancer risk in all 4 genetic models (2G2G vs 1G1G: OR, 1.08; 95% CI, 0.81–1.43;P= 0.23; 1G2G vs 1G1G: OR, 1.06; 95% CI, 0.82–1.36;P= 0.15; 1G2G + 2G2G vs 1G1G: OR, 1.05; 95% CI, 0.83–1.34;P= 0.16; 2G2G vs 1G1G + 1G2G: OR, 0.98; 95% CI, 0.80–1.20;P= 0.84).ConclusionsIn summary, this meta-analysis showed that theMMP11607-bp polymorphism is not associated with ovarian cancer risk.


Cancers ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 5654
Author(s):  
Agnieszka Barańska ◽  
Agata Błaszczuk ◽  
Wiesław Kanadys ◽  
Maria Malm ◽  
Katarzyna Drop ◽  
...  

To perform a meta-analysis of case-control studies that addressed the association between oral contraceptive pills (OC) use and breast cancer (BrCa), PubMED (MEDLINE), Embase, and the Cochrane Library were searched to identify case-control studies of OC and BrCa published between 2009 and 2020. We used the DerSimonian–Laird method to compute pooled odds ratios (ORs) and confidence intervals (CIs), and the Mantel–Haenszel test to assess the association between OC use and cancer. Forty-two studies were identified that met the inclusion criteria and we included a total of 110,580 women (30,778 into the BrCa group and 79,802 into the control group, of which 15,722 and 38,334 were using OC, respectively). The conducted meta-analysis showed that the use of OC was associated with a significantly increased risk of BrCa in general, OR = 1.15, 95% CI: 1.01 to 1.31, p = 0.0358. Regarding other risk factors for BrCa, we found that increased risk was associated significantly with early menarche, nulliparous, non-breastfeeding, older age at first parity, postmenopause, obesity, smoking, and family history of BrCa. Despite our conclusion that birth control pills increase the cancer risk being supported by extensive previous studies and meta-analyzes, further confirmation is required.


Author(s):  
Valeri V Mossine ◽  
Thomas P Mawhinney ◽  
Edward L Giovannucci

ABSTRACT Insufficient intake of total fruits and vegetables is linked to an increased cancer risk, but the relation is not understood for dried fruits. Dried fruits are generally perceived, by both consumers and researchers, as a less attractive but shelf-stable equivalent to fresh fruits and constitute a small but significant proportion of modern diets. Chemical compositions of raw and dried fruits, however, may differ substantially. Several clinical and laboratory intervention studies have reported the protective effects of dehydrated fruits against the progression of some cancers and the modulating effects of dried fruits on common cancer risk factors. In this systematic review, we identified, summarized, and critically evaluated 9 prospective cohort and 7 case-control studies that examined the relations between traditional dried fruit (raisins, prunes, dates) consumption and cancer risk in humans. Prospective cohort studies determined that significant reductions in relative risk of precancerous colorectal polyps, incidence of prostate cancer, or mortality from pancreatic cancer, by, respectively, 24%, 49%, and 65%, were associated with 3–5 or more servings of dried fruits per week. Selected case-control studies revealed inverse associations between dried fruit intake and risk of cancer as well. The reported associations were comparable to or stronger than those observed for total or raw fruits. Although the small number and high heterogeneity impede meta-analysis of these studies, we conclude that currently available data provide some initial evidence that consumption of dried fruits may be associated with a lower cancer incidence or mortality in populations. The data suggest that higher intake of raisins and other dried fruits may be important in the prevention of cancers of the digestive system. Because only a limited number of health outcome and dried fruit intake relations have been evaluated in prospective studies to date, reanalyzing existing high-quality epidemiological data may expand the knowledge base.


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