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Zhang W, He Y, Chen F, Wang C, Kang X, Peng Y, Li W. Chinese Dietary Indices and Glioma: New Insights of a Case-Control Study in the Chinese Population. Nutrients 2023; 15:3602. [PMID: 37630792 PMCID: PMC10457799 DOI: 10.3390/nu15163602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 08/10/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023] Open
Abstract
Identifying modifiable factors in primary prevention strategies is a typical goal of glioma epidemiology. Among many glioma risk factors, diet was always considered as one. Most of the relevant studies thus far were concentrated on the West. It was crucial to investigate the connection between the Chinese diet and gliomas given the stark variations between western and eastern diets. A food frequency questionnaire including 114 items was used to investigate the food intake of the study subjects. The Chinese Dietary Quality Index (CDQI), the Chinese Dietary Balance Index (CDBI), the Dietary Antioxidant Index (DAI), the Dietary Inflammation Index (DII), and the Chinese Healthy Eating Index (CHEI) were calculated based on the data provided by the food frequency questionnaire to evaluate dietary quality, dietary balance, dietary antioxidants, dietary inflammation and adherence to the Chinese dietary guidelines in 506 glioma patients and 506 controls, respectively. After adjusting covariates, CHEI (OR = 0.90, 95% CI: 0.88-0.93) and DAI (OR = 0.61, 95% CI: 0.54-0.70) were correlated to a reduced glioma risk, and CDBI-based undernutrition (OR = 1.08, 95% CI: 1.06-1.12) and overnutrition (OR = 1.14, 95% CI: 1.09-1.20) and DII (OR = 2.20, 95% CI: 1.81-2.68) were correlated to an elevated glioma risk. Moreover, restrictive cubic spline analysis showed that there were significant nonlinear dose-response relationships between CHEI, CDBI, DAI, DII, and glioma. Therefore, adhering to the Chinese dietary guidelines was connected with a lower glioma risk, and undernutrition and overnutrition in the Chinese diet were associated with an increased risk of glioma.
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Affiliation(s)
| | | | | | | | | | | | - Wenbin Li
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; (W.Z.); (Y.H.); (F.C.); (C.W.); (X.K.); (Y.P.)
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2
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Li S, Wang C, Chen J, Lan Y, Zhang W, Kang Z, Zheng Y, Zhang R, Yu J, Li W. Signaling pathways in brain tumors and therapeutic interventions. Signal Transduct Target Ther 2023; 8:8. [PMID: 36596785 PMCID: PMC9810702 DOI: 10.1038/s41392-022-01260-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 11/16/2022] [Accepted: 11/21/2022] [Indexed: 01/05/2023] Open
Abstract
Brain tumors, although rare, contribute to distinct mortality and morbidity at all ages. Although there are few therapeutic options for brain tumors, enhanced biological understanding and unexampled innovations in targeted therapies and immunotherapies have considerably improved patients' prognoses. Nonetheless, the reduced response rates and unavoidable drug resistance of currently available treatment approaches have become a barrier to further improvement in brain tumor (glioma, meningioma, CNS germ cell tumors, and CNS lymphoma) treatment. Previous literature data revealed that several different signaling pathways are dysregulated in brain tumor. Importantly, a better understanding of targeting signaling pathways that influences malignant behavior of brain tumor cells might open the way for the development of novel targeted therapies. Thus, there is an urgent need for a more comprehensive understanding of the pathogenesis of these brain tumors, which might result in greater progress in therapeutic approaches. This paper began with a brief description of the epidemiology, incidence, risk factors, as well as survival of brain tumors. Next, the major signaling pathways underlying these brain tumors' pathogenesis and current progress in therapies, including clinical trials, targeted therapies, immunotherapies, and system therapies, have been systemically reviewed and discussed. Finally, future perspective and challenges of development of novel therapeutic strategies in brain tumor were emphasized.
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Affiliation(s)
- Shenglan Li
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Can Wang
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jinyi Chen
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yanjie Lan
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Weichunbai Zhang
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhuang Kang
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yi Zheng
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Rong Zhang
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jianyu Yu
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wenbin Li
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
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3
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Zhang W, He Y, Kang X, Wang C, Chen F, Kang Z, Yang S, Zhang R, Peng Y, Li W. Association between dietary minerals and glioma: A case-control study based on Chinese population. Front Nutr 2023; 10:1118997. [PMID: 36937365 PMCID: PMC10018027 DOI: 10.3389/fnut.2023.1118997] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 02/13/2023] [Indexed: 03/06/2023] Open
Abstract
Background As one of the essential nutrients for the human body, minerals participate in various physiological activities of the body and are closely related to many cancers. However, the population study on glioma is not sufficient. Objective The purpose of this study was to evaluate the relationship between five dietary minerals and glioma. Methods A total of 506 adult patients with glioma and 506 healthy controls were matched 1:1 according to age (±5 years) and sex. The food intake of the subjects in the past year was collected through the food frequency questionnaire, and the intakes of calcium, magnesium, iron, zinc, and copper in the diet were calculated. The logistic regression model was used to estimate the odds ratio (OR) and 95% confidence interval (95% CI) for dietary minerals to gliomas. Results After adjusting for confounders, higher intakes of calcium (OR = 0.65, 95% CI: 0.57-0.74), magnesium (OR = 0.18, 95% CI: 0.11-0.29), iron (OR = 0.04, 95% CI: 0.02-0.11), zinc (OR = 0.62, 95% CI: 0.54-0.73), and copper (OR = 0.22, 95% CI: 0.13-0.39) were associated with a significantly decreased risk of glioma. Similar results were observed in gliomas of different pathological types and pathological grades. The restriction cubic spline function suggested significant linear dose-response relationships between intakes of five minerals and the risk of glioma. When the dietary minerals exceeded a particular intake, the risk of glioma stabilized. Conclusion Our study suggests that higher dietary intakes of calcium, magnesium, iron, zinc, and copper are associated with a decreased risk of glioma. However, the results of this study require further exploration of potential mechanisms in the future better to elucidate the effects of mineral intake on gliomas.
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Zhang W, Jiang J, Li X, He Y, Chen F, Li W. Dietary Factors and Risk of Glioma in Adults: A Systematic Review and Dose-Response Meta-Analysis of Observational Studies. Front Nutr 2022; 9:834258. [PMID: 35237646 PMCID: PMC8883057 DOI: 10.3389/fnut.2022.834258] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 01/13/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundGliomas are the most common primary intracranial tumors in adults. Inappropriate dietary habits are thought to be a risk factor for most human cancer, and glioma is no exception. However, the effect of dietary factors on glioma is not clear.ObjectiveThis review aims to quantitatively evaluate the association between various dietary intakes and glioma using a meta-analysis.MethodsWe searched articles on PubMed, the Cochrane Library, the Web of Science, and EMBASE from their inception until October 11, 2021. According to heterogeneity, the fixed-effects or random-effects model was selected to obtain the relative risk (RR) of merger. Based on the methods described by Greenland and Longnecker, we explored the dose-response relationship between dietary intakes and the risk of glioma. Subgroup analysis, sensitivity analysis, and publication bias were also used.ResultsThis study reviewed 33 articles, including 3,606,015 controls and 8,831 patients with glioma. This study included 12 food groups. Compared with the lowest intakes, the highest intakes of tea (RR = 0.82, 95%CI:0.71–0.93), total vegetables (RR = 0.84, 95%CI: 0.70–1.00), green vegetables (RR = 0.80, 95%CI: 0.66–0.98), and orange vegetables (RR = 0.79, 95%CI: 0.66–0.96) significantly reduced the risk of glioma, while the highest intakes of grains (RR = 1.39, 95%CI: 1.16–1.66), processed meats (RR = 1.19, 95%CI: 1.00–1.42), and processed fish (RR = 1.37, 95%CI: 1.03–1.84) significantly increased the risk of glioma. The results of subgroup and sensitivity analyses remained unchanged. In the dose-response relationship, only tea was statistically significant. Taking an extra cup of tea every day reduced the risk of glioma by 4%.ConclusionsOur analysis suggests that the intakes of tea, total vegetables, green vegetables, and orange vegetables may reduce the risk of glioma, while the intakes of grains, processed meats, and processed fish may increase the risk of glioma. Therefore, the effect of dietary factors on glioma should not be ignored.Systematic Review Registration:https://www.crd.york.ac.uk/prospero/, CRD42022296658.
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Affiliation(s)
- Weichunbai Zhang
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jing Jiang
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xinyi Li
- College of Nursing, University of South Florida, Tampa, FL, United States
| | - Yongqi He
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Feng Chen
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wenbin Li
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- *Correspondence: Wenbin Li
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Farvid MS, Sidahmed E, Spence ND, Mante Angua K, Rosner BA, Barnett JB. Consumption of red meat and processed meat and cancer incidence: a systematic review and meta-analysis of prospective studies. Eur J Epidemiol 2021; 36:937-951. [PMID: 34455534 DOI: 10.1007/s10654-021-00741-9] [Citation(s) in RCA: 128] [Impact Index Per Article: 42.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 03/15/2021] [Indexed: 02/06/2023]
Abstract
Red meat and processed meat consumption has been hypothesized to increase risk of cancer, but the evidence is inconsistent. We performed a systematic review and meta-analysis of prospective studies to summarize the evidence of associations between consumption of red meat (unprocessed), processed meat, and total red and processed meat with the incidence of various cancer types. We searched in MEDLINE and EMBASE databases through December 2020. Using a random-effect meta-analysis, we calculated the pooled relative risk (RR) and 95% confidence intervals (CI) of the highest versus the lowest category of red meat, processed meat, and total red and processed meat consumption in relation to incidence of various cancers. We identified 148 published articles. Red meat consumption was significantly associated with greater risk of breast cancer (RR = 1.09; 95% CI = 1.03-1.15), endometrial cancer (RR = 1.25; 95% CI = 1.01-1.56), colorectal cancer (RR = 1.10; 95% CI = 1.03-1.17), colon cancer (RR = 1.17; 95% CI = 1.09-1.25), rectal cancer (RR = 1.22; 95% CI = 1.01-1.46), lung cancer (RR = 1.26; 95% CI = 1.09-1.44), and hepatocellular carcinoma (RR = 1.22; 95% CI = 1.01-1.46). Processed meat consumption was significantly associated with a 6% greater breast cancer risk, an 18% greater colorectal cancer risk, a 21% greater colon cancer risk, a 22% greater rectal cancer risk, and a 12% greater lung cancer risk. Total red and processed meat consumption was significantly associated with greater risk of colorectal cancer (RR = 1.17; 95% CI = 1.08-1.26), colon cancer (RR = 1.21; 95% CI = 1.09-1.34), rectal cancer (RR = 1.26; 95% CI = 1.09-1.45), lung cancer (RR = 1.20; 95% CI = 1.09-1.33), and renal cell cancer (RR = 1.19; 95% CI = 1.04-1.37). This comprehensive systematic review and meta-analysis study showed that high red meat intake was positively associated with risk of breast cancer, endometrial cancer, colorectal cancer, colon cancer, rectal cancer, lung cancer, and hepatocellular carcinoma, and high processed meat intake was positively associated with risk of breast, colorectal, colon, rectal, and lung cancers. Higher risk of colorectal, colon, rectal, lung, and renal cell cancers were also observed with high total red and processed meat consumption.
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Affiliation(s)
- Maryam S Farvid
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Elkhansa Sidahmed
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Nicholas D Spence
- Department of Sociology and Department of Health and Society, University of Toronto, Toronto, ON, Canada
| | | | - Bernard A Rosner
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Junaidah B Barnett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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6
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Bielecka J, Markiewicz-Żukowska R. The Influence of Nutritional and Lifestyle Factors on Glioma Incidence. Nutrients 2020; 12:nu12061812. [PMID: 32560519 PMCID: PMC7353193 DOI: 10.3390/nu12061812] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 06/02/2020] [Accepted: 06/16/2020] [Indexed: 12/24/2022] Open
Abstract
Cancers are the first main cause of premature death in developed countries. Since brain tumors, especially gliomas, are the most lethal type of cancers, risk factors for their prevalence are still being discussed. Nearly 30–50% of all cancers could be prevented by proper nutritional habits and other lifestyle factors, but their influence on the tumors of the central nervous system has not been explained completely and still requires further studies. That is why we attempted to review the available research in this field, with a special focus on the factors with the proven protective activity observed in other cancers. Adequate vegetables and antioxidants (such as vitamins C and A) provided with a diet could have a protective effect, while other factors have shown no correlation with the incidence of glioma. However, further studies are necessary to determine whether fish, coffee, and tea consumption may prevent glioma. Maintaining proper body weight and undertaking a sufficient level of daily physical activity also seem to be important. Excessive body mass index (BMI) and higher attained height have increased the risk of glioma. In order to link more accurately the chosen factors to the prevalence of gliomas, it seems necessary to conduct large cohort, prospective, controlled studies in different world regions.
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7
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Ferro A, Rosato V, Rota M, Costa AR, Morais S, Pelucchi C, Johnson KC, Hu J, Palli D, Ferraroni M, Zhang ZF, Bonzi R, Yu GP, Peleteiro B, López-Carrillo L, Tsugane S, Hamada GS, Hidaka A, Zaridze D, Maximovitch D, Vioque J, Navarrete-Munoz EM, Aragonés N, Martín V, Hernández-Ramírez RU, Bertuccio P, Ward MH, Malekzadeh R, Pourfarzi F, Mu L, López-Cervantes M, Persiani R, Kurtz RC, Lagiou A, Lagiou P, Boffetta P, Boccia S, Negri E, Camargo MC, Curado MP, La Vecchia C, Lunet N. Meat intake and risk of gastric cancer in the Stomach cancer Pooling (StoP) project. Int J Cancer 2019; 147:45-55. [PMID: 31584199 DOI: 10.1002/ijc.32707] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 07/17/2019] [Accepted: 07/23/2019] [Indexed: 12/12/2022]
Abstract
The consumption of processed meat has been associated with noncardia gastric cancer, but evidence regarding a possible role of red meat is more limited. Our study aims to quantify the association between meat consumption, namely white, red and processed meat, and the risk of gastric cancer, through individual participant data meta-analysis of studies participating in the "Stomach cancer Pooling (StoP) Project". Data from 22 studies, including 11,443 cases and 28,029 controls, were used. Study-specific odds ratios (ORs) were pooled through a two-stage approach based on random-effects models. An exposure-response relationship was modeled, using one and two-order fractional polynomials, to evaluate the possible nonlinear association between meat intake and gastric cancer. An increased risk of gastric cancer was observed for the consumption of all types of meat (highest vs. lowest tertile), which was statistically significant for red (OR: 1.24; 95% CI: 1.00-1.53), processed (OR: 1.23; 95% CI: 1.06-1.43) and total meat (OR: 1.30; 95% CI: 1.09-1.55). Exposure-response analyses showed an increasing risk of gastric cancer with increasing consumption of both processed and red meat, with the highest OR being observed for an intake of 150 g/day of red meat (OR: 1.85; 95% CI: 1.56-2.20). This work provides robust evidence on the relation between the consumption of different types of meat and gastric cancer. Adherence to dietary recommendations to reduce meat consumption may contribute to a reduction in the burden of gastric cancer.
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Affiliation(s)
- Ana Ferro
- EPIUnit - Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal
| | - Valentina Rosato
- Unit of Medical Statistics, Biometry and Bioinformatics, National Cancer Institute, IRCCS Foundation, Milan, Italy
| | - Matteo Rota
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy.,Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Ana Rute Costa
- EPIUnit - Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal
| | - Samantha Morais
- EPIUnit - Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal
| | - Claudio Pelucchi
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | - Kenneth C Johnson
- School of Epidemiology and Public Health, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Jinfu Hu
- Harbin Medical University, Harbin, China
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network - ISPRO, Florence, Italy
| | - Monica Ferraroni
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | - Zuo-Feng Zhang
- Department of Epidemiology, Comprehensive Cancer Center, UCLA Fielding School of Public Health and Jonsson, Los Angeles, CA
| | - Rossella Bonzi
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | - Guo-Pei Yu
- Medical Informatics Center, Peking University, Peking, China
| | - Bárbara Peleteiro
- EPIUnit - Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal.,Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina da Universidade do Porto, Porto, Portugal
| | | | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | | | - Akihisa Hidaka
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - David Zaridze
- Department of Epidemiology and Prevention, Russian N.N. Blokhin Cancer Research Center, Moscow, Russia
| | - Dmitry Maximovitch
- Department of Epidemiology and Prevention, Russian N.N. Blokhin Cancer Research Center, Moscow, Russia
| | - Jesus Vioque
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.,Department of Public Health, Miguel Hernandez University, FISABIO-ISABIAL, Alicante, Spain
| | - Eva M Navarrete-Munoz
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.,Department of Public Health, Miguel Hernandez University, FISABIO-ISABIAL, Alicante, Spain
| | - Nuria Aragonés
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.,Epidemiology Section, Public Health Division, Department of Health of Madrid, Madrid, Spain
| | - Vicente Martín
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.,Research Group in Gene-Environment Interactions and Health, University of León, León, Spain
| | - Raúl Ulisses Hernández-Ramírez
- Mexico National Institute of Public Health, Morelos, Mexico.,Department of Biostatistics, Yale School of Medicine, Yale School of Public Health, New Haven, CT
| | - Paola Bertuccio
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy.,Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, Milan, Italy
| | - Mary H Ward
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Reza Malekzadeh
- Digestive Oncology Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Farhad Pourfarzi
- Digestive Oncology Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran.,Digestive Disease Research Center, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Lina Mu
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY
| | | | - Roberto Persiani
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Dipartimento Scienze Gastroenterologiche, Endocrino-Metaboliche e Nefro-Urologiche, Rome, Italy.,Dipartimento di Chirurgia, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Robert C Kurtz
- Department of Medicine, Memorial Sloan Kettering Cancer Centre, New York, NY
| | - Areti Lagiou
- Department of Public and Community Health, School of Health Sciences, University of West Attica, Egaleo, Greece
| | - Pagona Lagiou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Paolo Boffetta
- Icahn School of Medicine at Mount Sinai, The Tisch Cancer Institute, New York, NY.,Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Stefania Boccia
- Department of Woman and Child Health and Public Health - Public Health Area, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy.,Sezione di Igiene, Istituto di Sanità Pubblica, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Eva Negri
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, Milan, Italy
| | - M Constanza Camargo
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Maria Paula Curado
- Centro Internacional de Pesquisa, A. C. Camargo Cancer Center, São Paulo, Brazil
| | - Carlo La Vecchia
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | - Nuno Lunet
- EPIUnit - Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal.,Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina da Universidade do Porto, Porto, Portugal
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8
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Ostrom QT, Fahmideh MA, Cote DJ, Muskens IS, Schraw JM, Scheurer ME, Bondy ML. Risk factors for childhood and adult primary brain tumors. Neuro Oncol 2019; 21:1357-1375. [PMID: 31301133 PMCID: PMC6827837 DOI: 10.1093/neuonc/noz123] [Citation(s) in RCA: 128] [Impact Index Per Article: 25.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Primary brain tumors account for ~1% of new cancer cases and ~2% of cancer deaths in the United States; however, they are the most commonly occurring solid tumors in children. These tumors are very heterogeneous and can be broadly classified into malignant and benign (or non-malignant), and specific histologies vary in frequency by age, sex, and race/ethnicity. Epidemiological studies have explored numerous potential risk factors, and thus far the only validated associations for brain tumors are ionizing radiation (which increases risk in both adults and children) and history of allergies (which decreases risk in adults). Studies of genetic risk factors have identified 32 germline variants associated with increased risk for these tumors in adults (25 in glioma, 2 in meningioma, 3 in pituitary adenoma, and 2 in primary CNS lymphoma), and further studies are currently under way for other histologic subtypes, as well as for various childhood brain tumors. While identifying risk factors for these tumors is difficult due to their rarity, many existing datasets can be leveraged for future discoveries in multi-institutional collaborations. Many institutions are continuing to develop large clinical databases including pre-diagnostic risk factor data, and developments in molecular characterization of tumor subtypes continue to allow for investigation of more refined phenotypes. Key Point 1. Brain tumors are a heterogeneous group of tumors that vary significantly in incidence by age, sex, and race/ethnicity.2. The only well-validated risk factors for brain tumors are ionizing radiation (which increases risk in adults and children) and history of allergies (which decreases risk).3. Genome-wide association studies have identified 32 histology-specific inherited genetic variants associated with increased risk of these tumors.
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Affiliation(s)
- Quinn T Ostrom
- Department of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Maral Adel Fahmideh
- Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Medicine, Solna, Karolinska Institutet, and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - David J Cote
- Channing Division of Network Medicine, Harvard Medical School, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Computational Neuroscience Outcomes Center, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Ivo S Muskens
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Jeremy M Schraw
- Department of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Michael E Scheurer
- Department of Pediatrics, Section of Hematology-Oncology, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Melissa L Bondy
- Department of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
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9
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Kuan AS, Green J, Kitahara CM, De González AB, Key T, K. Reeves G, Floud S, Balkwill A, Bradbury K, Liao LM, Freedman ND, Beral V, Sweetland S. Diet and risk of glioma: combined analysis of 3 large prospective studies in the UK and USA. Neuro Oncol 2019; 21:944-952. [PMID: 30690490 PMCID: PMC6620629 DOI: 10.1093/neuonc/noz013] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Available evidence on diet and glioma risk comes mainly from studies with retrospective collection of dietary data. To minimize possible differential dietary recall between those with and without glioma, we present findings from 3 large prospective studies. METHODS Participants included 692 176 from the UK Million Women Study, 470 780 from the US National Institutes of Health-AARP study, and 99 148 from the US Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Cox regression yielded study-specific adjusted relative risks for glioma in relation to 15 food groups, 14 nutrients, and 3 dietary patterns, which were combined, weighted by inverse variances of the relative risks. Separate analyses by <5 and ≥5 years follow-up assessed potential biases related to changes of diet before glioma diagnosis. RESULTS The 1 262 104 participants (mean age, 60.6 y [SD 5.5] at baseline) were followed for 15.4 million person-years (mean 12.2 y/participant), during which 2313 incident gliomas occurred, at mean age 68.2 (SD 6.4). Overall, there was weak evidence for increased glioma risks associated with increasing intakes of total fruit, citrus fruit, and fiber and healthy dietary patterns, but these associations were generally null after excluding the first 5 years of follow-up. There was little evidence for heterogeneity of results by study or by sex. CONCLUSIONS The largest prospective evidence to date suggests little, if any, association between major food groups, nutrients, or common healthy dietary patterns and glioma incidence. With the statistical power of this study and the comprehensive nature of the investigation here, it seems unlikely we have overlooked major effects of diet on risk of glioma that would be of public health concern.
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Affiliation(s)
- Ai Seon Kuan
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jane Green
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Cari M Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Amy Berrington De González
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Tim Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Gillian K. Reeves
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Sarah Floud
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Angela Balkwill
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Kathryn Bradbury
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Linda M Liao
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Neal D Freedman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Valerie Beral
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Siân Sweetland
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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Shayanfar M, Vahid F, Faghfoori Z, Davoodi SH, Goodarzi R. The Association Between Index of Nutritional Quality (INQ) and Glioma and Evaluation of Nutrient Intakes of These Patients: A Case-Control Study. Nutr Cancer 2017; 70:213-220. [PMID: 29236551 DOI: 10.1080/01635581.2018.1412469] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Glioma is the most common adult brain tumors. Dietary factors may play a role in the etiology of glioma. The Index of Nutritional Quality (INQ) provides a general overview for the nutrient content of a food or a diet. This study aimed to investigate the association between INQ and glioma and nutrient intakes. MATERIAL AND METHODS This study was included 128 patients and 256 controls. Dietary intakes of the subjects were evaluated by a food frequency questionnaire (FFQ) and FFQ-derived dietary data were used to calculate INQ scores. Logistic regression was used to calculate the odds ratios and 95% confidence intervals. RESULTS Cases had higher intake of total fat, saturated fatty acid (SFA), meats, hydrogenated oils and controls had higher intake of monounsaturated fatty acid, polyunsaturated fatty acid, calcium, dairy, fruits, and nuts. Only the INQ of vitamin C, vitamin E, calcium, and fiber are higher in controls. An inverse association was observed between glioma and INQ of calcium, vitamin E, vitamin C, and fiber. CONCLUSION The results of this study propose a healthy diet such as high intake of vitamins C and E, calcium, fiber, food groups like fruits and vegetables, and low-fat milk and nuts; and low consumption of total fat, SFA, and red meat may be protective against glioma.
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Affiliation(s)
- Mehdi Shayanfar
- a Department of Nutritional Sciences, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology , Shahid Beheshti University of Medical Sciences , Tehran , Iran
| | - Farhad Vahid
- a Department of Nutritional Sciences, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology , Shahid Beheshti University of Medical Sciences , Tehran , Iran.,b Cancer Research Center , Shahid Beheshti University of Medical Sciences , Tehran , Iran
| | - Zeinab Faghfoori
- c Food (Salt) Safety Research Center, School of Nutrition and Food Sciences , Semnan University of Medical Sciences , Semnan , Iran
| | - Sayed Hossein Davoodi
- a Department of Nutritional Sciences, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology , Shahid Beheshti University of Medical Sciences , Tehran , Iran.,b Cancer Research Center , Shahid Beheshti University of Medical Sciences , Tehran , Iran
| | - Reza Goodarzi
- d Imam Hospital of Borujerd, Lorestan University of Medical Sciences and Health Services , Borujerd , Iran
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