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Mostofsky E, Lee IM, Buring JE, Mukamal KJ. Impact of Alcohol Consumption on Breast Cancer Incidence and Mortality: The Women's Health Study. J Womens Health (Larchmt) 2024; 33:705-714. [PMID: 38417039 DOI: 10.1089/jwh.2023.1021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2024] Open
Abstract
Background: Alcohol intake is associated with breast cancer (BC) risk, but estimates of greatest public health relevance have not been quantified in large studies with long duration. Materials and Methods: In this prospective cohort study of 39,811 women (median 25 years follow-up), we examined the association between alcohol consumption and BC incidence and mortality with adjusted hazard ratios (HRs), cubic splines, absolute risks, number needed to harm (NNH), and population-attributable fractions. Results: We documented 2,830 cases of BC, including 237 BC deaths. Each additional alcoholic drink/day was associated with a 10% higher rate (HR = 1.10, 95% confidence intervals [CIs]: 1.04-1.16) of total BC in a linear manner (p = 0.0004). The higher rate was apparent for estrogen receptor (ER)+ (HR = 1.12, 95% CI: 1.06-1.18) but not ER- tumors (HR = 0.95, 95% CI: 0.82-1.10), with a statistically significant difference between these associations (p = 0.03). We constructed models comparing BC incidence among 100,000 women followed for 10 years. Compared to a scenario where all women rarely or never consumed alcohol, we expect 63.79 (95% CI: 58.35-69.24) more cases (NNH = 1,567) had all women consumed alcohol at least monthly and 278.66 (95% CI: 268.70-288.62) more cases (NNH = 358) had all women consumed >1 drink/day. Approximately 4.1% of BC cases were attributable to consumption exceeding one drink/month. Conclusion: Alcohol consumption is associated with a linear dose-response increase in BC incidence even within recommended limits of up to one alcoholic drink/day, at least for ER+ tumors. Our estimates of risk differences, attributable fraction, and NNH quantify the burden that alcohol consumption imposes on women in the general population. ClinicalTrials.gov Identifier: NCT00000479.
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Affiliation(s)
- Elizabeth Mostofsky
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - I-Min Lee
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Julie Elizabeth Buring
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Kenneth Jay Mukamal
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical, School, Boston, Massachusetts, USA
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2
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Grigg J, Manning V, Lockie D, Giles M, Bell RJ, Stragalinos P, Bernard C, Greenwood CJ, Volpe I, Smith L, Bragge P, Lubman DI. A brief intervention for improving alcohol literacy and reducing harmful alcohol use by women attending a breast screening service: a randomised controlled trial. Med J Aust 2023. [PMID: 37247850 DOI: 10.5694/mja2.51991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 03/17/2023] [Accepted: 03/19/2023] [Indexed: 05/31/2023]
Abstract
OBJECTIVES To assess the effectiveness of a brief alcohol intervention for improving awareness of alcohol as a breast cancer risk factor, improving alcohol literacy, and reducing alcohol consumption by women attending routine breast screening. DESIGN Single-site, double-blinded randomised controlled trial. SETTING Maroondah BreastScreen (Eastern Health, Melbourne), part of the national breast cancer screening program. PARTICIPANTS Women aged 40 years or more, with or without a history of breast cancer and reporting any alcohol consumption, who attended the clinic for routine mammography during 5 February - 27 August 2021. INTERVENTION Active arm: animation including brief alcohol intervention (four minutes) and lifestyle health promotion (three minutes). CONTROL ARM lifestyle health promotion only. MAJOR OUTCOME MEASURE Change in proportion of women who identified alcohol use as a clear risk factor for breast cancer (scaled response measure). RESULTS The mean age of the 557 participants was 60.3 years (standard deviation, 7.7 years; range, 40-87 years); 455 had recently consumed alcohol (82%). The proportions of participants aware that alcohol use increased the risk of breast cancer were larger at four weeks than at baseline for both the active intervention (65% v 20%; odds ratio [OR], 41; 95% confidence interval [CI], 18-97) and control arms of the study (38% v 20%; OR, 4.9; 95% CI, 2.8-8.8), but the change over time was greater for the active intervention arm (arm × time: P < 0.001). Alcohol literacy also increased to a greater extent in the active than the control arm, but alcohol consumption did not significantly change in either arm. CONCLUSION A tailored brief alcohol intervention for women attending breast screening was effective for improving awareness of the increased breast cancer risk associated with alcohol use and alcohol literacy more broadly. Such interventions are particularly important given the rising prevalence of risky drinking among middle-aged and older women and evidence that even very light alcohol consumption increases breast cancer risk. REGISTRATION ClinicalTrials.gov, NCT04715516 (prospective; 20 January 2021).
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Affiliation(s)
- Jasmin Grigg
- Turning Point, Eastern Health, Melbourne, VIC
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, VIC
| | - Victoria Manning
- Turning Point, Eastern Health, Melbourne, VIC
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, VIC
| | - Darren Lockie
- Maroondah BreastScreen, Eastern Health, Melbourne, VIC
| | | | | | - Peta Stragalinos
- Turning Point, Eastern Health, Melbourne, VIC
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, VIC
| | - Chloe Bernard
- Turning Point, Eastern Health, Melbourne, VIC
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, VIC
| | - Christopher J Greenwood
- Deakin University, Geelong, VIC
- Centre for Adolescent Health, Murdoch Children's Research Institute, Melbourne, VIC
| | - Isabelle Volpe
- Turning Point, Eastern Health, Melbourne, VIC
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, VIC
| | - Liam Smith
- Monash Sustainable Development Institute, Monash University, Melbourne, VIC
| | - Peter Bragge
- Monash Sustainable Development Institute, Monash University, Melbourne, VIC
| | - Dan I Lubman
- Turning Point, Eastern Health, Melbourne, VIC
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, VIC
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3
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Lunnay B, Seymour J, Foley K, Musolino C, Ward PR. Through the wine glass: How biographical midlife transitions and women's affective interpretations interact with alcohol consumption. THE INTERNATIONAL JOURNAL OF DRUG POLICY 2023; 117:104046. [PMID: 37207408 DOI: 10.1016/j.drugpo.2023.104046] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 03/30/2023] [Accepted: 05/01/2023] [Indexed: 05/21/2023]
Abstract
BACKGROUND Women during midlife are consuming larger quantities of alcohol than any other age group of women and any other generation of midlife women previously. This is concerning given alcohol related-health risks coalesce with age-related health risks for women, in particular, breast cancer. METHODS In-depth interviews with 50 Australian midlife women (aged 45-64) from different social classes explored women's personal accounts of midlife transitions and their descriptions of the role of alcohol in navigating these life experiences; both daily occurrences as well as significant moments in the life course. RESULTS Our findings point to the complex, confusing and co-existing biographical transitions women experience during midlife (generational, embodied/physiological and material changes) that sharpen a role for alcohol in women's lives and are nuanced by social class (volumes of social, economic and cultural capital). We pay close attention to women's affective interpretations of these transitions and ways alcohol is used to feel robust in navigating daily life or easing their prospective futures. Critically, for women living with limited access to capital, and who could not 'measure up' to social ideals by comparison with the achievements and trajectories of other midlife women, alcohol reconciled their disappointment. Our exploration shows how the social class conditions that shape how women make sense of their transitions through midlife might be differently shaped to enable different options forreducing drinking. CONCLUSIONS Policy must address the social and emotional concerns women experience through midlife transitions that give alcohol a worthwhile place in their lives. A first step might be responding to the absence of community and leisure spaces for midlife women especially those that do not integrate alcohol, with benefits including addressing loneliness, isolation and feeling invisible, and enabling positive constructions of midlife identities. Structural barriers to participation and feelings of worth must be removed for women who lack social, cultural and economic resources.
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Affiliation(s)
- Belinda Lunnay
- Research Centre for Public Health, Equity and Human Flourishing (PHEHF), Torrens University of Australia, Adelaide Campus, 88 Wakefield St, Adelaide SA 5000, Australia.
| | - Jessica Seymour
- Flinders University College of Medicine and Public Health, Bedford Park, SA, Australia
| | - Kristen Foley
- Research Centre for Public Health, Equity and Human Flourishing (PHEHF), Torrens University of Australia, Adelaide Campus, 88 Wakefield St, Adelaide SA 5000, Australia
| | - Connie Musolino
- Stretton Health Equity, Stretton Institute, School of Social Sciences, The University of Adelaide, Australia
| | - Paul R Ward
- Research Centre for Public Health, Equity and Human Flourishing (PHEHF), Torrens University of Australia, Adelaide Campus, 88 Wakefield St, Adelaide SA 5000, Australia
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Ferula communis L. (Apiaceae) Root Acetone-Water Extract: Phytochemical Analysis, Cytotoxicity and In Vitro Evaluation of Estrogenic Properties. PLANTS 2022; 11:plants11151905. [PMID: 35893609 PMCID: PMC9329896 DOI: 10.3390/plants11151905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 07/12/2022] [Accepted: 07/19/2022] [Indexed: 11/17/2022]
Abstract
Ferula communis L. (F. communis) belongs to the Apiaceae family and is a herbaceous plant with various pharmaceutical properties, due to the different contents of bioactive compounds extracted mainly from its roots, as well as its leaves and rhizome. To date, this plant extract has demonstrated estrogenic, anti-inflammatory, antiproliferative, cytotoxic, antimicrobial and anti-neoplastic properties. Its estrogenic activity is justified by the presence of ferutinin, an ester of a sesquiterpenic alcohol that acts as an agonist for estrogen receptors, with a chemical formula equal to C22H3O4. The component present in F. communis responsible for the toxicity of the plant is ferulenol, a prenylated coumarin with the chemical formula C24H30O3. This compound is capable of inducing mortality via its strong anti-coagulant properties, leading to a lethal hemorrhagic syndrome, ferulosis, in animals that feed on a chemotype of F. communis containing a high amount of ferulenol. The removal of the component ferulenol makes extracts of Ferula non-toxic. In fact, the remaining prenylated coumarins are not present in concentrations sufficient to induce toxicity. The intake of high concentrations of the extract of this plant leads a double dose-dependent effect that is typical of sesquiterpenes such as ferutinin. Here, we assessed the cytotoxicity and the estrogenic properties of the F. communis phytocomplex obtained through extraction using a mixture of acetone and water. Among the active constituents of F. communis, the identification of ferutinin and ferulenol was performed using HPLC. The effects of the extract were evaluated, following the removal of ferulenol, on three cell lines: human breast cancer MCF-7, human cervical cancer HeLa and human osteoblastic sarcoma Saos-2. The choice of these cell lines was justified by the need to mimic certain processes which may occur in vivo and which are estrogen-dependent. The obtained results demonstrated that F. communis extract, in addition to possessing an estrogenic-like property, showed a dose-dependent effect. Low concentrations (0.1–0.8 μM) demonstrated a hyperproliferative effect, whereas higher concentrations (1.6–50 μM) were toxic. Therefore, this extract could be an excellent candidate to make up for a reduction or lack of estrogen.
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Zhu Q, Zai H, Zhang K, Zhang X, Luo N, Li X, Hu Y, Wu Y. L-norvaline affects the proliferation of breast cancer cells based on the microbiome and metabolome analysis. J Appl Microbiol 2022; 133:1014-1026. [PMID: 35543360 DOI: 10.1111/jam.15620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 05/06/2022] [Accepted: 05/09/2022] [Indexed: 12/24/2022]
Abstract
AIMS The altered fecal metabolites and microbiota might be involved in the development of breast cancer. We aimed to investigate the effect of differential metabolites on the proliferative activity of breast cancer cells. METHODS AND RESULTS We collected fecal samples from 14 breast cancer patients and 14 healthy subjects. Untargeted metabolomics analysis, short-chain fatty acid (SCFA) targeted analysis, and 16S rDNA sequencing was performed. The gut metabolite composition of patients changed significantly. Levels of norvaline, glucuronate, and galacturonate were lower in the Cancer group than in the Control (p < 0.05). 4-Methylcatechol and guaiacol increased (p < 0.05). Acetic acid and butyric acid were lower in the Cancer group than in the Control group (p < 0.05). Isobutyric acid and pentanoic acid were higher in the Cancer group than in the Control (p < 0.05). In the genus, the abundance of Rothia and Actinomyces increased in the Cancer group, compared with the Control group (p < 0.05). The differential microbiotas were clearly associated with differential metabolites but weakly with SCFAs. The abundance of Rothia and Actinomyces was markedly positively correlated with 4-methylcatechol and guaiacol (p < 0.05) and negatively correlated with norvaline (p < 0.05). L-norvaline inhibited the content of Arg-1 in a concentration-dependent manner. Compared with the L-norvaline or doxorubicin hydrochloride (DOX) group, the proliferation abilities of 4T1 cells were the lowest in the L-norvaline combined with DOX (p < 0.05). The apoptosis rate increased (p < 0.05). CONCLUSIONS Fecal metabolites and microbiota were significantly altered in breast cancer. Levels of differential metabolites (i.e., Norvaline) were significantly correlated with the abundance of differential microbiota. L-norvaline combined with DOX could clearly inhibit the proliferation activity of breast cancer cells. SIGNIFICANCE AND IMPACT OF STUDY This might provide clues to uncover potential biomarkers for breast cancer diagnosis and treatment.
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Affiliation(s)
- Qin Zhu
- Department of General Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Hongyan Zai
- Department of General Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Kejing Zhang
- Department of General Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Xian Zhang
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, China
| | - Na Luo
- Department of General Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Xin Li
- Department of General Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Yu Hu
- Department of General Surgery, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center For Breast Cancer In Hunan Province, Changsha, China
| | - Yuhui Wu
- Department of General Surgery, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center For Breast Cancer In Hunan Province, Changsha, China
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Yap S, Vassallo A, Goldsbury DE, Salagame U, Velentzis L, Banks E, O'Connell DL, Canfell K, Steinberg J. Accurate categorisation of menopausal status for research studies: a step-by-step guide and detailed algorithm considering age, self-reported menopause and factors potentially masking the occurrence of menopause. BMC Res Notes 2022; 15:88. [PMID: 35246240 PMCID: PMC8895593 DOI: 10.1186/s13104-022-05970-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 02/10/2022] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVE Menopausal status impacts risk for many health outcomes. However, factors including hysterectomy without oophorectomy and Menopausal Hormone Therapy (MHT) can mask menopause, affecting reliability of self-reported menopausal status in surveys. We describe a step-by-step algorithm for classifying menopausal status using: directly self-reported menopausal status; MHT use; hysterectomy; oophorectomy; intervention timing; and attained age. We illustrate this approach using the Australian 45 and Up Study cohort (142,973 women aged ≥ 45 years). RESULTS We derived a detailed seven-category menopausal status, able to be further consolidated into four categories ("pre-menopause"/"peri-menopause"/"post-menopause"/"unknown") accounting for participants' ages. 48.3% of women had potentially menopause-masking interventions. Overall, 93,107 (65.1%), 9076 (6.4%), 17,930 (12.5%) and 22,860 (16.0%) women had a directly self-reported "post-menopause", "peri-menopause", "pre-menopause" and "not sure"/missing status, respectively. 61,464 women with directly self-reported "post-menopause" status were assigned a "natural menopause" detailed derived status (menopause without MHT use/hysterectomy/oophorectomy). By accounting for participants' ages, 105,817 (74.0%) women were assigned a "post-menopause" consolidated derived status, including 15,009 of 22,860 women with "not sure"/missing directly self-reported status. Conversely, 3178 of women with directly self-reported "post-menopause" status were assigned "unknown" consolidated derived status. This algorithm is likely to improve the accuracy and reliability of studies examining outcomes impacted by menopausal status.
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Affiliation(s)
- Sarsha Yap
- The Daffodil Centre, The University of Sydney, A Joint Venture with Cancer Council NSW, Sydney, Australia.
| | - Amy Vassallo
- Cancer Council NSW, Sydney, NSW, Australia.,The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia.,Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - David E Goldsbury
- The Daffodil Centre, The University of Sydney, A Joint Venture with Cancer Council NSW, Sydney, Australia
| | - Usha Salagame
- Centre for Health Record Linkage, Centre of Epidemiology and Evidence, NSW Health, Sydney, Australia
| | - Louiza Velentzis
- The Daffodil Centre, The University of Sydney, A Joint Venture with Cancer Council NSW, Sydney, Australia.,Melbourne School of Population and Global Health, University of Melbourne, Victoria, 3010, Australia
| | - Emily Banks
- National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia
| | - Dianne L O'Connell
- The Daffodil Centre, The University of Sydney, A Joint Venture with Cancer Council NSW, Sydney, Australia.,School of Medicine and Public Health, University of Newcastle, Newcastle, Australia
| | - Karen Canfell
- The Daffodil Centre, The University of Sydney, A Joint Venture with Cancer Council NSW, Sydney, Australia
| | - Julia Steinberg
- The Daffodil Centre, The University of Sydney, A Joint Venture with Cancer Council NSW, Sydney, Australia
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7
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Carey RN, Whiteman DC, Webb PM, Neale RE, Reid A, Norman R, Fritschi L. The future excess fraction of cancer due to lifestyle factors in Australia. Cancer Epidemiol 2021; 75:102049. [PMID: 34710670 DOI: 10.1016/j.canep.2021.102049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 10/08/2021] [Accepted: 10/12/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Many cancers are caused by exposure to lifestyle, environmental, and occupational factors. Earlier studies have estimated the number of cancers occurring in a single year which are attributable to past exposures to these factors. However, there is now increasing appreciation that estimates of the future burden of cancer may be more useful for policy and prevention. We aimed to calculate the future number of cancers expected to arise as a result of exposure to 23 modifiable risk factors. METHODS We used the future excess fraction (FEF) method to estimate the lifetime burden of cancer (2016-2098) among Australian adults who were exposed to modifiable lifestyle, environmental, and occupational risk factors in 2016. Calculations were conducted for 26 cancer sites and 78 cancer-risk factor pairings. RESULTS The cohort of 18.8 million adult Australians in 2016 will develop an estimated 7.6 million cancers during their lifetime, of which 1.8 million (24%) will be attributable to exposure to modifiable risk factors. Cancer sites with the highest number of future attributable cancers were colon and rectum (n = 717,700), lung (n = 380,400), and liver (n = 103,200). The highest number of future cancers will be attributable to exposure to tobacco smoke (n = 583,500), followed by overweight/obesity (n = 333,100) and alcohol consumption (n = 249,700). CONCLUSION A significant proportion of future cancers will result from recent levels of exposure to modifiable risk factors. Our results provide direct, pertinent information to help determine where preventive measures could best be targeted.
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Affiliation(s)
- Renee N Carey
- School of Population Health, Curtin University, Kent Street, Bentley, Western Australia, Australia.
| | - David C Whiteman
- Department of Population Health, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Queensland, Australia
| | - Penelope M Webb
- Department of Population Health, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Queensland, Australia
| | - Rachel E Neale
- Department of Population Health, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Queensland, Australia
| | - Alison Reid
- School of Population Health, Curtin University, Kent Street, Bentley, Western Australia, Australia
| | - Richard Norman
- School of Population Health, Curtin University, Kent Street, Bentley, Western Australia, Australia
| | - Lin Fritschi
- School of Population Health, Curtin University, Kent Street, Bentley, Western Australia, Australia
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8
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Jung SY, Papp JC, Sobel EM, Pellegrini M, Yu H, Zhang ZF. Pro-inflammatory cytokine polymorphisms and interactions with dietary alcohol and estrogen, risk factors for invasive breast cancer using a post genome-wide analysis for gene-gene and gene-lifestyle interaction. Sci Rep 2021; 11:1058. [PMID: 33441805 PMCID: PMC7807068 DOI: 10.1038/s41598-020-80197-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 12/17/2020] [Indexed: 11/13/2022] Open
Abstract
Molecular and genetic immune-related pathways connected to breast cancer and lifestyles in postmenopausal women are not fully characterized. In this study, we explored the role of pro-inflammatory cytokines such as C-reactive protein (CRP) and interleukin-6 (IL-6) in those pathways at the genome-wide level. With single-nucleotide polymorphisms (SNPs) in the biomarkers and lifestyles together, we further constructed risk profiles to improve predictability for breast cancer. Our earlier genome-wide association gene-environment interaction study used large cohort data from the Women's Health Initiative Database for Genotypes and Phenotypes Study and identified 88 SNPs associated with CRP and IL-6. For this study, we added an additional 68 SNPs from previous GWA studies, and together with 48 selected lifestyles, evaluated for the association with breast cancer risk via a 2-stage multimodal random survival forest and generalized multifactor dimensionality reduction methods. Overall and in obesity strata (by body mass index, waist, waist-to-hip ratio, exercise, and dietary fat intake), we identified the most predictive genetic and lifestyle variables. Two SNPs (SALL1 rs10521222 and HLA-DQA1 rs9271608) and lifestyles, including alcohol intake, lifetime cumulative exposure to estrogen, and overall and visceral obesity, are the most common and strongest predictive markers for breast cancer across the analyses. The risk profile that combined those variables presented their synergistic effect on the increased breast cancer risk in a gene-lifestyle dose-dependent manner. Our study may contribute to improved predictability for breast cancer and suggest potential interventions for the women with the risk genotypes and lifestyles to reduce their breast cancer risk.
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Affiliation(s)
- Su Yon Jung
- Translational Sciences Section, Jonsson Comprehensive Cancer Center, School of Nursing, University of California, Los Angeles, 700 Tiverton Ave, 3-264 Factor Building, Los Angeles, CA, 90095, USA.
| | - Jeanette C Papp
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Eric M Sobel
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Matteo Pellegrini
- Department of Molecular, Cell and Developmental Biology, Life Sciences Division, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Herbert Yu
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, 96813, USA
| | - Zuo-Feng Zhang
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Center for Human Nutrition, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
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Abstract
Despite decades of laboratory, epidemiological and clinical research, breast cancer incidence continues to rise. Breast cancer remains the leading cancer-related cause of disease burden for women, affecting one in 20 globally and as many as one in eight in high-income countries. Reducing breast cancer incidence will likely require both a population-based approach of reducing exposure to modifiable risk factors and a precision-prevention approach of identifying women at increased risk and targeting them for specific interventions, such as risk-reducing medication. We already have the capacity to estimate an individual woman's breast cancer risk using validated risk assessment models, and the accuracy of these models is likely to continue to improve over time, particularly with inclusion of newer risk factors, such as polygenic risk and mammographic density. Evidence-based risk-reducing medications are cheap, widely available and recommended by professional health bodies; however, widespread implementation of these has proven challenging. The barriers to uptake of, and adherence to, current medications will need to be considered as we deepen our understanding of breast cancer initiation and begin developing and testing novel preventives.
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Affiliation(s)
- Kara L Britt
- Breast Cancer Risk and Prevention Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
- The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, Australia.
| | - Jack Cuzick
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK
| | - Kelly-Anne Phillips
- The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, Australia
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia
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10
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Hiatt RA, Engmann NJ, Balke K, Rehkopf DH. A Complex Systems Model of Breast Cancer Etiology: The Paradigm II Conceptual Model. Cancer Epidemiol Biomarkers Prev 2020; 29:1720-1730. [PMID: 32641370 DOI: 10.1158/1055-9965.epi-20-0016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 03/09/2020] [Accepted: 06/04/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND The etiology of breast cancer is a complex system of interacting factors from multiple domains. New knowledge about breast cancer etiology continues to be produced by the research community, and the communication of this knowledge to other researchers, practitioners, decision makers, and the public is a challenge. METHODS We updated the previously published Paradigm model (PMID: 25017248) to create a framework that describes breast cancer etiology in four overlapping domains of biologic, behavioral, environmental, and social determinants. This new Paradigm II conceptual model was part of a larger modeling effort that included input from multiple experts in fields from genetics to sociology, taking a team and transdisciplinary approach to the common problem of describing breast cancer etiology for the population of California women in 2010. Recent literature was reviewed with an emphasis on systematic reviews when available and larger epidemiologic studies when they were not. Environmental chemicals with strong animal data on etiology were also included. RESULTS The resulting model illustrates factors with their strength of association and the quality of the available data. The published evidence supporting each relationship is made available herein, and also in an online dynamic model that allows for manipulation of individual factors leading to breast cancer (https://cbcrp.org/causes/). CONCLUSIONS The Paradigm II model illustrates known etiologic factors in breast cancer, as well as gaps in knowledge and areas where better quality data are needed. IMPACT The Paradigm II model can be a stimulus for further research and for better understanding of breast cancer etiology.
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Affiliation(s)
- Robert A Hiatt
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California. .,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
| | | | - Kaya Balke
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
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11
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Abstract
Globally, more than 2 million new cases of breast cancer are reported annually. The United States alone has more than 496,000 new cases every year. The worldwide prevalence is approximately 6.8 million cases. Although many risk factors for breast cancer are not modifiable, understanding the role of the factors that can be altered is critical. Alcohol consumption is a modifiable factor. Studies of alcohol in relation to breast cancer incidence have included hundreds of thousands of women. Evidence is consistent that intake, even intake of less than 10–15 grams per day, is associated with increased risk of this disease. In addition, evidence, although less extensive, shows that possible early indicators of risk, such as benign breast disease and increased breast density, are associated with alcohol consumption. Evidence is less strong for differences based on geographic region, beverage type, drinking pattern, or breast cancer subtype. Some studies have examined the association between alcohol and recurrence or survival after a breast cancer diagnosis. These findings are less consistent. Public awareness of alcohol as a risk factor for breast cancer is low, and public health measures to increase that awareness are warranted.
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Affiliation(s)
- Jo L Freudenheim
- School of Public Health and Health Professions, University at Buffalo, Buffalo, New York
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12
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Feletto E, Grogan P, Vassallo A, Canfell K. Cancer costs and gender: a snapshot of issues, trends, and opportunities to reduce inequities using Australia as an example. Climacteric 2019; 22:538-543. [PMID: 31378097 DOI: 10.1080/13697137.2019.1642319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
As the cancer burden increases, so too does the cost, to health systems, economies, and individuals. There is increasing interest in productivity and out-of-pocket costs for individuals and their carers, but these remain poorly understood. The costs of cancer in women, often carers themselves, are less understood. This summary analysis explored data on the cancer burden in Australia (and health costs in comparable countries), including expenditure reports and literature on macroeconomic outcomes and out-of-pocket costs, to highlight the cost impacts of a cancer diagnosis in women, at a societal and an individual level. Data on productivity costs were skewed toward men, as men are over-represented in paid work compared with women. Data on societal and individual costs of cancer in women were scant, yet the predominance of women in unpaid work suggests the cost is significant. Evidence for the benefits of cancer prevention and early detection suggests that improved targeting of interventions to women would reduce costs at a societal and an individual level. More research is needed on the specific impacts of cancer on women and those they care for, to better target public health and support services to need.
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Affiliation(s)
- E Feletto
- Cancer Research Division, Cancer Council New South Wales , Kings Cross , Sydney NSW , Australia
| | - P Grogan
- Cancer Research Division, Cancer Council New South Wales , Kings Cross , Sydney NSW , Australia.,Sydney School of Public Health, University of Sydney , Sydney , NSW , Australia
| | - A Vassallo
- Cancer Research Division, Cancer Council New South Wales , Kings Cross , Sydney NSW , Australia
| | - K Canfell
- Cancer Research Division, Cancer Council New South Wales , Kings Cross , Sydney NSW , Australia.,Sydney School of Public Health, University of Sydney , Sydney , NSW , Australia.,Prince of Wales Clinical School, University of New South Wales , Sydney , NSW , Australia
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13
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Laaksonen MA, Arriaga ME, Canfell K, MacInnis RJ, Byles JE, Banks E, Shaw JE, Mitchell P, Giles GG, Magliano DJ, Gill TK, Klaes E, Velentzis LS, Hirani V, Cumming RG, Vajdic CM. The preventable burden of endometrial and ovarian cancers in Australia: A pooled cohort study. Gynecol Oncol 2019; 153:580-588. [PMID: 30935715 DOI: 10.1016/j.ygyno.2019.03.102] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Revised: 03/08/2019] [Accepted: 03/11/2019] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Evidence on the endometrial and ovarian cancer burden preventable through modifications to current causal behavioural and hormonal exposures is limited. Whether the burden differs by population subgroup is unknown. METHODS We linked pooled data from six Australian cohort studies to national cancer and death registries, and quantified exposure-cancer associations using adjusted proportional hazards models. We estimated exposure prevalence from representative health surveys. We then calculated Population Attributable Fractions (PAFs) with 95% confidence intervals (CIs), accounting for competing risk of death, and compared PAFs for population subgroups. RESULTS During a median 4.9 years follow-up, 510 incident endometrial and 303 ovarian cancers were diagnosed. Overweight and obesity explained 41.9% (95% CI 32.3-50.1) of the endometrial cancer burden and obesity alone 34.5% (95% CI 27.5-40.9). This translates to 12,800 and 10,500 endometrial cancers in Australia in the next 10 years, respectively. The body fatness-related endometrial cancer burden was highest (49-87%) among women with diabetes, living remotely, of older age, lower socio-economic status or educational attainment and born in Australia. Never use of oral contraceptives (OCs) explained 8.1% (95% CI 1.8-14.1) or 2500 endometrial cancers. A higher BMI and current long-term MHT use increased, and long-term OC use decreased, the risk of ovarian cancer, but the burden attributable to overweight, obesity or exogenous hormonal factors was not statistically significant. CONCLUSIONS Excess body fatness, a trait that is of high and increasing prevalence globally, is responsible for a large proportion of the endometrial cancer burden, indicating the need for effective strategies to reduce adiposity.
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Affiliation(s)
- Maarit A Laaksonen
- Centre for Big Data Research in Health, University of New South Wales, Sydney, Australia.
| | - Maria E Arriaga
- Centre for Big Data Research in Health, University of New South Wales, Sydney, Australia
| | - Karen Canfell
- Cancer Research Division, Cancer Council New South Wales, Sydney, Australia; School of Public Health, University of Sydney, Sydney, Australia; Prince of Wales Clinical School, University of New South Wales, Sydney, Australia
| | - Robert J MacInnis
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Julie E Byles
- Research Centre for Generational Health and Ageing, University of Newcastle, Newcastle, Australia
| | - Emily Banks
- ANU College of Medicine, Biology and Environment, Australian National University, Canberra, Australia
| | - Jonathan E Shaw
- Clinical Diabetes Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Paul Mitchell
- Centre for Vision Research, Westmead Institute for Medical research, University of Sydney, Sydney, Australia
| | - Graham G Giles
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Dianna J Magliano
- Diabetes and Population Health Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Tiffany K Gill
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | | | - Louiza S Velentzis
- Cancer Research Division, Cancer Council New South Wales, Sydney, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Vasant Hirani
- School of Public Health, University of Sydney, Sydney, Australia; School of Life and Environmental Sciences Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - Robert G Cumming
- School of Public Health, University of Sydney, Sydney, Australia; ANZAC Research Institute, University of Sydney and Concord Hospital, Sydney, Australia
| | - Claire M Vajdic
- Centre for Big Data Research in Health, University of New South Wales, Sydney, Australia
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