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Wu X, Peng L, Luo H, Xu Z, Wang J, Gu H, Wang Y, Xiao Y, Zhang C, Xiang L. Adherence to diabetes risk reduction diet and the risk of head and neck cancer: a prospective study of 101,755 American adults. Front Nutr 2023; 10:1218632. [PMID: 37810918 PMCID: PMC10556244 DOI: 10.3389/fnut.2023.1218632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Accepted: 08/28/2023] [Indexed: 10/10/2023] Open
Abstract
Background Adherence to the diabetes risk reduction diet (DRRD) may potentially reduce the risk of developing head and neck cancer (HNC) as the diet includes fruits and limits red and processed meats, known risk factors for HNC. However, there is currently no epidemiological research to investigate this potential association. Methods The present study utilized data on demographics, lifestyles, medications, and diets of participants from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial to explore the potential association between adherence to DRRD and the risk of HNC. We used a DRRD score to evaluate adherence to the dietary pattern and employed Cox regression analysis to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for HNC risk. Several subgroup analyses were carried out to identify potential effect modifiers, and multiple sensitivity analyses were performed to evaluate the stability of the correlation. The nine components of the DRRD was assessed separately for its association with the risk of HNC. Results During a mean follow up of 8.84 years, 279 cases of HNC were observed. DDRD score was found to be inversely associated with the risk of HNC (HR Q4 vs. Q1: 0.582; 95% CI: 0.396, 0.856; p = 0.005 for trend) in a linear dose-response manner (p = 0.211 for non-linearity). Subgroup analysis indicated this inverse correlation was more pronounced among participants who had never smoked (HRQ4 vs. Q1: 0.193; 95% CI: 0.073, 0.511; p < 0.001 for trend) compared to current or former smokers (p = 0.044 for interaction). The primary association of DDRD and HNC risk remained robust after several sensitivity analyses. Regarding the individual components of DRRD, an inverse association was also observed between the risk of HNC and increased intake of cereal fiber and whole fruit (all p < 0.05 for trend). Conclusion Our findings provide evidence that following the DRRD pattern may reduce the risk of NHC, especially for non-smokers.
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Affiliation(s)
- Xia Wu
- Department of Health Management Centre, Chongqing General Hospital, Chongqing, China
| | - Linglong Peng
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Haoyun Luo
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhiquan Xu
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jijian Wang
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Haitao Gu
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yaxu Wang
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yi Xiao
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Chaohua Zhang
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ling Xiang
- Department of Clinical Nutrition, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Semertzidou A, Grout-Smith H, Kalliala I, Garg A, Terzidou V, Marchesi J, MacIntyre D, Bennett P, Tsilidis K, Kyrgiou M. Diabetes and anti-diabetic interventions and the risk of gynaecological and obstetric morbidity: an umbrella review of the literature. BMC Med 2023; 21:152. [PMID: 37072764 PMCID: PMC10114404 DOI: 10.1186/s12916-023-02758-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 01/27/2023] [Indexed: 04/20/2023] Open
Abstract
BACKGROUND Diabetes has reached epidemic proportions in recent years with serious health ramifications. The aim of this study was to evaluate the strength and validity of associations between diabetes and anti-diabetic interventions and the risk of any type of gynaecological or obstetric conditions. METHODS Design: Umbrella review of systematic reviews and meta-analyses. DATA SOURCES PubMed, Medline, Embase, Cochrane Database of Systematic Reviews, manual screening of references. ELIGIBILITY CRITERIA Systematic reviews and meta-analyses of observational and interventional studies investigating the relationship between diabetes and anti-diabetic interventions with gynaecological or obstetric outcomes. Meta-analyses that did not include complete data from individual studies, such as relative risk, 95% confidence intervals, number of cases/controls, or total population were excluded. DATA ANALYSIS The evidence from meta-analyses of observational studies was graded as strong, highly suggestive, suggestive or weak according to criteria comprising the random effects estimate of meta-analyses and their largest study, the number of cases, 95% prediction intervals, I2 heterogeneity index between studies, excess significance bias, small study effect and sensitivity analysis using credibility ceilings. Interventional meta-analyses of randomised controlled trials were assessed separately based on the statistical significance of reported associations, the risk of bias and quality of evidence (GRADE) of included meta-analyses. RESULTS A total of 117 meta-analyses of observational cohort studies and 200 meta-analyses of randomised clinical trials that evaluated 317 outcomes were included. Strong or highly suggestive evidence only supported a positive association between gestational diabetes and caesarean section, large for gestational age babies, major congenital malformations and heart defects and an inverse relationship between metformin use and ovarian cancer incidence. Only a fifth of the randomised controlled trials investigating the effect of anti-diabetic interventions on women's health reached statistical significance and highlighted metformin as a more effective agent than insulin on risk reduction of adverse obstetric outcomes in both gestational and pre-gestational diabetes. CONCLUSIONS Gestational diabetes appears to be strongly associated with a high risk of caesarean section and large for gestational age babies. Weaker associations were demonstrated between diabetes and anti-diabetic interventions with other obstetric and gynaecological outcomes. TRIAL REGISTRATION Open Science Framework (OSF) (Registration https://doi.org/10.17605/OSF.IO/9G6AB ).
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Affiliation(s)
- Anita Semertzidou
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
| | - Harriet Grout-Smith
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
| | - Ilkka Kalliala
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
- Department of Obstetrics and Gynaecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Akanksha Garg
- Queen Charlotte's and Chelsea - Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Vasso Terzidou
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
- Queen Charlotte's and Chelsea - Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Julian Marchesi
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
- School of Biosciences, Cardiff University, Cardiff, UK
| | - David MacIntyre
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
| | - Phillip Bennett
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
- Queen Charlotte's and Chelsea - Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Konstantinos Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Maria Kyrgiou
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
- Queen Charlotte's and Chelsea - Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK.
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Abstract
The traditional complications of diabetes mellitus are well known and continue to pose a considerable burden on millions of people living with diabetes mellitus. However, advances in the management of diabetes mellitus and, consequently, longer life expectancies, have resulted in the emergence of evidence of the existence of a different set of lesser-acknowledged diabetes mellitus complications. With declining mortality from vascular disease, which once accounted for more than 50% of deaths amongst people with diabetes mellitus, cancer and dementia now comprise the leading causes of death in people with diabetes mellitus in some countries or regions. Additionally, studies have demonstrated notable links between diabetes mellitus and a broad range of comorbidities, including cognitive decline, functional disability, affective disorders, obstructive sleep apnoea and liver disease, and have refined our understanding of the association between diabetes mellitus and infection. However, no published review currently synthesizes this evidence to provide an in-depth discussion of the burden and risks of these emerging complications. This Review summarizes information from systematic reviews and major cohort studies regarding emerging complications of type 1 and type 2 diabetes mellitus to identify and quantify associations, highlight gaps and discrepancies in the evidence, and consider implications for the future management of diabetes mellitus.
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Affiliation(s)
- Dunya Tomic
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Dianna J Magliano
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
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Campbell PT, Newton CC, Jacobs EJ, McCullough ML, Wang Y, Rees-Punia E, Guinter MA, Murphy N, Koshiol J, Dehal AN, Rohan T, Strickler H, Petrick J, Gunter M, Zhang X, McGlynn KA, Pollak M, Patel AV, Gapstur SM. Prospective associations of hemoglobin A 1c and c-peptide with risk of diabetes-related cancers in the Cancer Prevention Study-II Nutrition Cohort. CANCER RESEARCH COMMUNICATIONS 2022; 2:653-662. [PMID: 36712480 PMCID: PMC9881454 DOI: 10.1158/2767-9764.crc-22-0082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 05/05/2022] [Accepted: 06/21/2022] [Indexed: 02/02/2023]
Abstract
Self-reported type 2 diabetes mellitus (T2DM) is a risk factor for many cancers, suggesting its pathology relates to carcinogenesis. We conducted a case-cohort study to examine associations of hemoglobin A1c (HbA1c) and c-peptide with cancers associated with self-reported T2DM. This study was drawn from a prospective cohort of 32,383 women and men who provided blood specimens at baseline: c-peptide and HbA1c were assessed in 3,000 randomly selected participants who were cancer-free-at-baseline and an additional 2,281 participants who were cancer-free-at-baseline and subsequently diagnosed with incident colorectal, liver, pancreatic, female breast, endometrial, ovarian, bladder, or kidney cancers. Weighted-Cox regression models estimated hazards ratios (HRs) and 95% confidence intervals (CI), adjusted for covariates. C-peptide was associated with higher risk of liver cancer (per standard deviation (SD) HR: 1.80; 95%CI: 1.32-2.46). HbA1c was associated with higher risk of pancreatic cancer (per SD HR: 1.21 95%CI 1.05-1.40) and with some suggestion of higher risks for all-cancers-of-interest (per SD HR: 1.05; 95%CI: 0.99-1.11) and colorectal (per SD HR: 1.09; 95%CI: 0.98-1.20), ovarian (per SD HR: 1.18; 95%CI 0.96-1.45) and bladder (per SD HR: 1.08; 95%CI 0.96-1.21) cancers. Compared to no self-reported T2DM and HbA1c <6.5% (reference group), self-reported T2DM and HbA1c <6.5% (i.e., T2DM in good glycemic control) was not associated with risk of colorectal cancer, whereas it was associated with higher risks of all-cancers-of-interest combined (HR: 1.28; 95%CI: 1.01-1.62), especially for breast and endometrial cancers. Additional large, prospective studies are needed to further explore the roles of hyperglycemia, hyperinsulinemia, and related metabolic traits with T2DM-associated cancers to better understand the mechanisms underlying the self-reported T2DM-cancer association and to identify persons at higher cancer risk.
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Affiliation(s)
- Peter T. Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
- Population Science Department, American Cancer Society (ACS), Atlanta, Georgia
| | - Christina C. Newton
- Population Science Department, American Cancer Society (ACS), Atlanta, Georgia
| | - Eric J. Jacobs
- Population Science Department, American Cancer Society (ACS), Atlanta, Georgia
| | | | - Ying Wang
- Population Science Department, American Cancer Society (ACS), Atlanta, Georgia
| | - Erika Rees-Punia
- Population Science Department, American Cancer Society (ACS), Atlanta, Georgia
| | - Mark A. Guinter
- Population Science Department, American Cancer Society (ACS), Atlanta, Georgia
| | - Neil Murphy
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France
| | - Jill Koshiol
- Division of Cancer Epidemiology and Genetics, NIH, NCI, Rockville, Maryland
| | - Ahmed N. Dehal
- Department of Clinical Science, Kaiser Permanente Bernard J Tyson School of Medicine, Panorama City, California
| | - Thomas Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Howard Strickler
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Jessica Petrick
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | - Marc Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | | | - Michael Pollak
- Depsartment of Medicine and Oncology, McGill University, Montreal, Quebec, Canada
| | - Alpa V. Patel
- Population Science Department, American Cancer Society (ACS), Atlanta, Georgia
| | - Susan M. Gapstur
- Population Science Department, American Cancer Society (ACS), Atlanta, Georgia
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5
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Insulin Resistance and Cancer: In Search for a Causal Link. Int J Mol Sci 2021; 22:ijms222011137. [PMID: 34681797 PMCID: PMC8540232 DOI: 10.3390/ijms222011137] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 10/11/2021] [Accepted: 10/12/2021] [Indexed: 12/12/2022] Open
Abstract
Insulin resistance (IR) is a condition which refers to individuals whose cells and tissues become insensitive to the peptide hormone, insulin. Over the recent years, a wealth of data has made it clear that a synergistic relationship exists between IR, type 2 diabetes mellitus, and cancer. Although the underlying mechanism(s) for this association remain unclear, it is well established that hyperinsulinemia, a hallmark of IR, may play a role in tumorigenesis. On the other hand, IR is strongly associated with visceral adiposity dysfunction and systemic inflammation, two conditions which favor the establishment of a pro-tumorigenic environment. Similarly, epigenetic modifications, such as DNA methylation, histone modifications, and non-coding RNA, in IR states, have been often associated with tumorigenesis in numerous types of human cancer. In addition to these observations, it is also broadly accepted that gut microbiota may play an intriguing role in the development of IR-related diseases, including type 2 diabetes and cancer, whereas potential chemopreventive properties have been attributed to some of the most commonly used antidiabetic medications. Herein we provide a concise overview of the most recent literature in this field and discuss how different but interrelated molecular pathways may impact on tumor development.
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Singh SK, Apata T, Singh S, McFadden M, Singh R. Clinical Implication of Metformin in Relation to Diabetes Mellitus and Ovarian Cancer. Biomedicines 2021; 9:biomedicines9081020. [PMID: 34440224 PMCID: PMC8394937 DOI: 10.3390/biomedicines9081020] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 08/11/2021] [Accepted: 08/13/2021] [Indexed: 11/16/2022] Open
Abstract
Since multiple reports established an association between diabetes mellitus and various cancers, emerging studies have surfaced to understand the effects of metformin as an anti-cancer agent. Although there was previous, but conflicting evidence, of a relationship between diabetes and ovarian cancer (OvCa), recent studies have supported this association. The mechanism of cancer development in patients with diabetes is likely to involve hyperglycemia, hyperinsulinemia, chronic inflammation, reactive oxygen species, regulation of cellular homeostasis, and activation of various pathways that lead to tumor cell proliferation. Preclinical evidence indicating that metformin, a medication commonly used to treat type 2 diabetes mellitus, may protect against OvCa. Metformin exerts anti-cancer properties by activating the MAPK pathway, inhibiting the PI3K/AKT/mTOR pathway, increasing tumor suppressor genes, inducing G2/M cycle arrest, and various other processes. Several studies have shown the efficacy of metformin as an adjunct with standard chemotherapeutic agents due to its synergistic effects on OvCa cells. This review highlights the epidemiologic evidence supporting a link between diabetes and OvCa, the fundamental molecular mechanism underlying carcinogenesis in patients with diabetes, the anti-cancer effects of metformin, and the need for further clinical investigations on combination therapies with metformin and standard chemotherapeutic agents for OvCa.
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Affiliation(s)
- Santosh Kumar Singh
- Department of Microbiology, Biochemistry, and Immunology, Morehouse School of Medicine, Atlanta, GA 30310, USA; (S.K.S.); (T.A.); (M.M.)
| | - Tejumola Apata
- Department of Microbiology, Biochemistry, and Immunology, Morehouse School of Medicine, Atlanta, GA 30310, USA; (S.K.S.); (T.A.); (M.M.)
| | - Shriti Singh
- Department of Kriya Sharir, Institute of Medical Sciences, Banaras Hindu University, Varanasi 221005, India;
| | - Melayshia McFadden
- Department of Microbiology, Biochemistry, and Immunology, Morehouse School of Medicine, Atlanta, GA 30310, USA; (S.K.S.); (T.A.); (M.M.)
| | - Rajesh Singh
- Department of Microbiology, Biochemistry, and Immunology, Morehouse School of Medicine, Atlanta, GA 30310, USA; (S.K.S.); (T.A.); (M.M.)
- Cancer Health Equity Institute, Morehouse School of Medicine, Atlanta, GA 30310, USA
- Correspondence: ; Tel.: +1-404-756-6661; Fax: +1-404-752-1179
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7
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Pearson-Stuttard J, Papadimitriou N, Markozannes G, Cividini S, Kakourou A, Gill D, Rizos EC, Monori G, Ward HA, Kyrgiou M, Gunter MJ, Tsilidis KK. Type 2 Diabetes and Cancer: An Umbrella Review of Observational and Mendelian Randomization Studies. Cancer Epidemiol Biomarkers Prev 2021; 30:1218-1228. [PMID: 33737302 PMCID: PMC9398112 DOI: 10.1158/1055-9965.epi-20-1245] [Citation(s) in RCA: 77] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 11/22/2020] [Accepted: 02/25/2021] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) has been associated with an increased risk of developing several common cancers, but it is unclear whether this association is causal. We aimed to summarize the evidence on T2DM and cancer and evaluate the validity of associations from both observational and Mendelian randomization (MR) studies. METHODS We performed an umbrella review of the evidence across meta-analyses of observational studies that examined associations of T2DM with risk of developing or dying from site-specific cancers, and MR studies that explored the potential causal association of T2DM and associated biomarkers with cancer risk. RESULTS We identified eligible observational meta-analyses that assessed associations between T2DM and cancer incidence for 18 cancer sites, cancer mortality for seven sites, and cancer incidence or mortality for four sites. Positive associations between T2DM and six cancers reached strong or highly suggestive evidence. We found eight MR studies assessing the association of genetically predicted T2DM and seven and eight studies assessing the association of genetically predicted fasting insulin or fasting glucose concentrations, respectively, upon site-specific cancers. Positive associations were found between genetically predicted T2DM and fasting insulin and risk of six cancers. There was no association between genetically predicted fasting plasma glucose and cancer except for squamous cell lung carcinoma. CONCLUSIONS We found robust observational evidence for the association between T2DM and colorectal, hepatocellular, gallbladder, breast, endometrial, and pancreatic cancers. IMPACT Potential causal associations were identified for genetically predicted T2DM and fasting insulin concentrations and risk of endometrial, pancreas, kidney, breast, lung, and cervical cancers.
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Affiliation(s)
- Jonathan Pearson-Stuttard
- Department of Epidemiology and Biostatistics, MRC-PHE Center for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom.
| | - Nikos Papadimitriou
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Georgios Markozannes
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Sofia Cividini
- Department of Health Data Science, University of Liverpool, Liverpool, United Kingdom
| | - Artemisia Kakourou
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Evangelos C Rizos
- Department of Internal Medicine, University Hospital of Ioannina, Ioannina, Greece
- School of Medicine, European University of Cyprus, Nicosia, Cyprus
| | - Grace Monori
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Heather A Ward
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Maria Kyrgiou
- Department of Gut, Metabolism and Reproduction, and Surgery and Cancer, IRDB, Imperial College London, London, United Kingdom
- West London Gynecological Cancer Center, Imperial NHS Trust, London, United Kingdom
| | - Marc J Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Konstantinos K Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
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Wang L, Zhong L, Xu B, Chen M, Huang H. Diabetes mellitus and the risk of ovarian cancer: a systematic review and meta-analysis of cohort and case-control studies. BMJ Open 2020; 10:e040137. [PMID: 33376163 PMCID: PMC7778773 DOI: 10.1136/bmjopen-2020-040137] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 10/05/2020] [Accepted: 11/18/2020] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE Emerging evidence from observational studies (cohort and case-control studies) suggests that a history of diabetes mellitus (DM) has been linked to increased risk of ovarian cancer (OC), but the association between them remains inconclusive. The aim of this systematic review and meta-analysis of observational studies was to clarify this association. DESIGN Systematic review and meta-analysis. METHODS We searched PubMed, Embase and the Cochrane library databases published from the inception through 9 April 2020 without language restriction. Observational studies that evaluated the correlation between DM and the incidence of OC were included in our study. Relative risk (RR) with 95% CI was pooled by use of a random-effects model. RESULTS A total of 36 epidemiological articles, including 9 case-control and 27 cohort studies, were finally enrolled, consisting of 14 496 incident cases of OC. Synthesised RRs of developing OC by history of DM were 1.20 (95% CI=1.10 to 1.31) for all eligible studies, 1.08 (95% CI=0.77 to 1.53) for case-control studies and 1.22 (95% CI=1.11 to 1.33) for cohort studies. The above-mentioned positive association persisted across most of subgroup analyses, whereas it was not significant among studies from North American and European countries, level of unadjusted, and patients with low-quality and gestational DM group. The cumulative meta-analysis and sensitivity analysis showed pooled effect was stable and reliable, and no apparent publication bias was identified in this study. CONCLUSIONS Our study found weaker but still association between DM and OC risk. However, further well-designed prospective studies that control for potential confounders are warranted.
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Affiliation(s)
- Lihai Wang
- Obstetrics and Gynecology, Huzhou Central Hospital, Affiliated Central Hospital, HuZhou University, Huzhou, Zhejiang, China
| | - Lei Zhong
- Intensive Care Unit, Huzhou Central Hospital, Affiliated Central Hospital, HuZhou University, Huzhou, Zhejiang, China
| | - Bin Xu
- Obstetrics and Gynecology, Huzhou Central Hospital, Affiliated Central Hospital, HuZhou University, Huzhou, Zhejiang, China
| | - Min Chen
- Obstetrics and Gynecology, Huzhou Central Hospital, Affiliated Central Hospital, HuZhou University, Huzhou, Zhejiang, China
| | - Hongxiao Huang
- Obstetrics and Gynecology, Huzhou Central Hospital, Affiliated Central Hospital, HuZhou University, Huzhou, Zhejiang, China
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9
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Wang M, Yang Y, Liao Z. Diabetes and cancer: Epidemiological and biological links. World J Diabetes 2020; 11:227-238. [PMID: 32547697 PMCID: PMC7284016 DOI: 10.4239/wjd.v11.i6.227] [Citation(s) in RCA: 66] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Revised: 04/24/2020] [Accepted: 05/05/2020] [Indexed: 02/06/2023] Open
Abstract
The incidence of diabetes and cancer has increased significantly in recent years. Furthermore, there are many common risk factors for both diabetes and cancer, such as obesity, sedentary lifestyle, smoking, and ageing. A large body of epidemiological evidence has indicated that diabetes is considered as an independent risk factor for increased rates of heterogeneous types of cancer occurrence and death. The incidence and mortality of various types of cancer, such as pancreas, liver, colorectal, breast, endometrial, and bladder cancers, have a modest growth in diabetics. However, diabetes may work as a protective factor for prostate cancer. Although the underlying biological mechanisms have not been totally understood, studies have validated that insulin/insulin-like growth factor (IGF) axis (including insulin resistance, hyperinsulinemia, and IGF), hyperglycemia, inflammatory cytokines, and sex hormones provide good circumstances for cancer cell proliferation and metastasis. Insulin/IGF axis activates several metabolic and mitogenic signaling pathways; hyperglycemia provides energy for cancer cell growth; inflammatory cytokines influence cancer cell apoptosis. Thus, these three factors affect all types of cancer, while sex hormones only play important roles in breast cancer, endometrial cancer, and prostate cancer. This minireview consolidates and discusses the epidemiological and biological links between diabetes and various types of cancer.
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Affiliation(s)
- Mina Wang
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
- The Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing 100010, China
- Graduate School, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Yingying Yang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna 17177, Sweden
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai 200065, China
| | - Zehuan Liao
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
- Department of Microbiology, Tumor and Cell Biology (MTC), Karolinska Institutet, Solna 17177, Sweden
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Histopathological Variants of Ovarian Tumors and Their Presentation in Rural Tertiary Care Center of Northern India: An Observational Study. INDIAN JOURNAL OF GYNECOLOGIC ONCOLOGY 2020. [DOI: 10.1007/s40944-020-0370-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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11
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Chen X, Shi W, Deng L. Prediction of Disease Comorbidity Using HeteSim Scores based on Multiple Heterogeneous Networks. Curr Gene Ther 2019; 19:232-241. [DOI: 10.2174/1566523219666190917155959] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 06/14/2019] [Accepted: 06/16/2019] [Indexed: 12/25/2022]
Abstract
Background:
Accumulating experimental studies have indicated that disease comorbidity
causes additional pain to patients and leads to the failure of standard treatments compared to patients
who have a single disease. Therefore, accurate prediction of potential comorbidity is essential to design
more efficient treatment strategies. However, only a few disease comorbidities have been discovered
in the clinic.
Objective:
In this work, we propose PCHS, an effective computational method for predicting disease
comorbidity.
Materials and Methods:
We utilized the HeteSim measure to calculate the relatedness score for different
disease pairs in the global heterogeneous network, which integrates six networks based on biological
information, including disease-disease associations, drug-drug interactions, protein-protein interactions
and associations among them. We built the prediction model using the Support Vector Machine
(SVM) based on the HeteSim scores.
Results and Conclusion:
The results showed that PCHS performed significantly better than previous
state-of-the-art approaches and achieved an AUC score of 0.90 in 10-fold cross-validation. Furthermore,
some of our predictions have been verified in literatures, indicating the effectiveness of our method.
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Affiliation(s)
- Xuegong Chen
- School of Computer Science and Engineering, Central South University, Changsha, 410075, China
| | - Wanwan Shi
- School of Computer Science and Engineering, Central South University, Changsha, 410075, China
| | - Lei Deng
- School of Computer Science and Engineering, Central South University, Changsha, 410075, China
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12
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Abudawood M. Diabetes and cancer: A comprehensive review. JOURNAL OF RESEARCH IN MEDICAL SCIENCES 2019; 24:94. [PMID: 31741666 PMCID: PMC6856544 DOI: 10.4103/jrms.jrms_242_19] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 06/30/2019] [Accepted: 08/26/2019] [Indexed: 02/06/2023]
Abstract
Diabetes mellitus (DM) is a common worldwide endocrine disorder characterized by hyperglycemia resulting from defects in insulin secretion and insulin action or both. A number of clinical studies have investigated diabetes and its causal relation with neoplasm. Several epidemiological studies have found that diabetic patients have an increased risk of different types of cancers, for example liver, pancreas, gastric (stomach), colorectum, kidney, and breast, and it is predicted that hyperglycemic state observed in diabetic milieu enhances the cancer risk in prediabetic and diabetic individuals. To explore the strength of evidence and biases in the claimed associations between type 2 DM (T2DM) and risk of developing cancer, an umbrella review of the evidence across published meta-analyses or systematic reviews is performed. The concurrence of T2DM with the growing burden of cancer globally has generated interest in defining the epidemiological and biological relationships between these medical conditions. Through this review, it was found that diabetes could be related to cancer. Yet, the results from most of the studies are obscure and conflicting and need a robust research so that the link between diabetes and cancer could be firmly and impeccably documented.
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Affiliation(s)
- Manal Abudawood
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, KSA
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13
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Wang Y, Liu X, Yan P, Bi Y, Liu Y, Zhang ZJ. No Effect of Metformin on Ovarian Cancer Survival: A Systematic Review and Meta-Analysis of Cohort Studies. Curr Pharm Des 2019; 25:2595-2601. [PMID: 31333095 DOI: 10.2174/1381612825666190716113126] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 06/25/2019] [Indexed: 12/23/2022]
Abstract
Background:
A number of observational studies examined the association between metformin therapy
and ovarian cancer survival outcomes, but the results are inconsistent.
Objective:
The study aimed to investigate the effect of metformin on survival for ovarian cancer patients.
Methods:
PubMed, Embase and Web of Science databases were searched for relevant studies from the inception to
June 11, 2019. The strength of the relationship was assessed using summary of hazard ratios (HRs) with corresponding
95% confidence intervals (CI). Statistical analyses were carried out using the random-effects model.
Results:
Totally, 6 retrospective cohort studies involving 2,638 ovarian cancer patients were included. Metformin
was not associated with improved overall survival (HR=0.78, 95% CI 0.54-1.12, P=0.175, I2= 61.6%) and disease-
free survival (HR=0.49, 95% CI 0.20-1.17, P=0.106, I2=82.1%) in ovarian cancer patients compared to nonmetformin
users.
Conclusion:
The current study provides preliminary evidence that metformin may not be associated with a survival
benefit for ovarian cancer patients. More studies with rigorous designs are needed.
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Affiliation(s)
- Yongbo Wang
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, No. 185 Donghu Road, Wuhan 430071, China
| | - Xiaoxue Liu
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, No. 185 Donghu Road, Wuhan 430071, China
| | - Pengfei Yan
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, No. 185 Donghu Road, Wuhan 430071, China
| | - Yongyi Bi
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, No. 185 Donghu Road, Wuhan 430071, China
| | - Yu Liu
- Department of Statistics and Management, School of Management, Wuhan Institute of Technology, Wuhan, 430205, China
| | - Zhi-Jiang Zhang
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, No. 185 Donghu Road, Wuhan 430071, China
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14
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Sacerdote C, Ricceri F. Epidemiological dimensions of the association between type 2 diabetes and cancer: A review of observational studies. Diabetes Res Clin Pract 2018; 143:369-377. [PMID: 29596949 DOI: 10.1016/j.diabres.2018.03.002] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Revised: 02/27/2018] [Accepted: 03/01/2018] [Indexed: 12/15/2022]
Abstract
Type 2 diabetes (T2D) is a major cause of complications and death in many countries. The possible causal relation between T2D and cancer has been the aim of many research investigations. In view of the importance of the topic we carried out a narrative review of observational studies to summarize the available evidence of the association between T2D and cancer. To deal with the problem of abundance of published studies, we reviewed up to December 2017, the literature of meta-analyses of observational studies first, then we reviewed cohort studies not reported in meta-analyses because of more recent publication. We found that the association of T2D with risk of colorectal cancer was robust, whereas the evidence of the associations with other cancer sites was lower. Some of the observed associations could be overestimated, due to publication bias, unmeasured confounders (such as obesity) and surveillance bias. In conclusion a probable causal association of T2D with risk of colorectal cancer was confirmed. A possible causal association with pancreatic, endometrial, hepatocellular and gallbladder carcinoma was also found. Substantial uncertainty exists for other cancer sites.
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Affiliation(s)
- Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy.
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, University of Turin, Turin, Italy; Unit of Epidemiology, Regional Health Service ASL TO3, Grugliasco, Turin, Italy
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15
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Carlson NS. Current Resources for Evidence-Based Practice, September/October 2017. J Obstet Gynecol Neonatal Nurs 2017; 46:788-793. [DOI: 10.1016/j.jogn.2017.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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