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Genkinger JM, Kitahara CM, Bernstein L, Berrington de Gonzalez A, Brotzman M, Elena JW, Giles GG, Hartge P, Singh PN, Stolzenberg-Solomon RZ, Weiderpass E, Adami HO, Anderson KE, Beane-Freeman LE, Buring JE, Fraser GE, Fuchs CS, Gapstur SM, Gaziano JM, Helzlsouer KJ, Lacey JV, Linet MS, Liu JJ, Park Y, Peters U, Purdue MP, Robien K, Schairer C, Sesso HD, Visvanathan K, White E, Wolk A, Wolpin BM, Zeleniuch-Jacquotte A, Jacobs EJ. Central adiposity, obesity during early adulthood, and pancreatic cancer mortality in a pooled analysis of cohort studies. Ann Oncol 2015; 26:2257-66. [PMID: 26347100 PMCID: PMC4621029 DOI: 10.1093/annonc/mdv355] [Citation(s) in RCA: 97] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2015] [Revised: 08/07/2015] [Accepted: 08/16/2015] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Body mass index (BMI), a measure of obesity typically assessed in middle age or later, is known to be positively associated with pancreatic cancer. However, little evidence exists regarding the influence of central adiposity, a high BMI during early adulthood, and weight gain after early adulthood on pancreatic cancer risk. DESIGN We conducted a pooled analysis of individual-level data from 20 prospective cohort studies in the National Cancer Institute BMI and Mortality Cohort Consortium to examine the association of pancreatic cancer mortality with measures of central adiposity (e.g. waist circumference; n = 647 478; 1947 pancreatic cancer deaths), BMI during early adulthood (ages 18-21 years) and BMI change between early adulthood and cohort enrollment, mostly in middle age or later (n = 1 096 492; 3223 pancreatic cancer deaths). Multivariable hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using Cox proportional hazards regression models. RESULTS Higher waist-to-hip ratio (HR = 1.09, 95% CI 1.02-1.17 per 0.1 increment) and waist circumference (HR = 1.07, 95% CI 1.00-1.14 per 10 cm) were associated with increased risk of pancreatic cancer mortality, even when adjusted for BMI at baseline. BMI during early adulthood was associated with increased pancreatic cancer mortality (HR = 1.18, 95% CI 1.11-1.25 per 5 kg/m(2)), with increased risk observed in both overweight and obese individuals (compared with BMI of 21.0 to <23 kg/m(2), HR = 1.36, 95% CI 1.20-1.55 for BMI 25.0 < 27.5 kg/m(2), HR = 1.48, 95% CI 1.20-1.84 for BMI 27.5 to <30 kg/m(2), HR = 1.43, 95% CI 1.11-1.85 for BMI ≥30 kg/m(2)). BMI gain after early adulthood, adjusted for early adult BMI, was less strongly associated with pancreatic cancer mortality (HR = 1.05, 95% CI 1.01-1.10 per 5 kg/m(2)). CONCLUSIONS Our results support an association between pancreatic cancer mortality and central obesity, independent of BMI, and also suggest that being overweight or obese during early adulthood may be important in influencing pancreatic cancer mortality risk later in life.
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Affiliation(s)
- J M Genkinger
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York
| | - C M Kitahara
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda
| | - L Bernstein
- Division of Cancer Etiology, City of Hope National Medical Center, Duarte
| | | | | | - J W Elena
- Division of Cancer Control and Population Sciences, National Cancer Institute, NIH, DHHS, Bethesda, USA
| | - G G Giles
- Cancer Epidemiology Centre, Cancer Council of Victoria, and Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - P Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda
| | - P N Singh
- Department of Epidemiology, Biostatistics and Population Medicine and The Center for Health Research, Loma Linda University School of Medicine, Loma Linda, USA
| | - R Z Stolzenberg-Solomon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda
| | - E Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø Department of Research, Cancer Registry of Norway, Oslo, Norway Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland
| | - H-O Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden Department of Epidemiology, Harvard School of Public Health, Boston
| | - K E Anderson
- Division of Epidemiology and Community Health, School of Public Health, and Masonic Cancer Center, University of Minnesota, Minneapolis
| | - L E Beane-Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda
| | - J E Buring
- Department of Epidemiology, Harvard School of Public Health, Boston Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston
| | - G E Fraser
- Department of Epidemiology, Biostatistics and Population Medicine and The Center for Health Research, Loma Linda University School of Medicine, Loma Linda, USA
| | - C S Fuchs
- Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston Department of Medical Oncology, Dana-Farber Cancer Institute, Boston
| | - S M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta
| | - J M Gaziano
- Division of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston Massachusetts Veterans Epidemiology Research and Information Center, Geriatric Research Education and Clinical Center, VA Boston Healthcare System, Boston
| | - K J Helzlsouer
- The Prevention & Research Center, Mercy Medical Center, Baltimore Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore
| | - J V Lacey
- Division of Cancer Etiology, City of Hope National Medical Center, Duarte
| | - M S Linet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda
| | - J J Liu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda
| | - Y Park
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda Division of Public Health Sciences, Washington University School of Medicine, St Louis
| | - U Peters
- Fred Hutchinson Cancer Research Center, Seattle Department of Epidemiology, University of Washington, Seattle
| | - M P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda
| | - K Robien
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, Washington
| | - C Schairer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda
| | - H D Sesso
- Department of Epidemiology, Harvard School of Public Health, Boston Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston Division of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston
| | - K Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore Department of Medical Oncology, Sidney Kimmel Cancer Center, John Hopkins School of Medicine, Baltimore, USA
| | - E White
- Fred Hutchinson Cancer Research Center, Seattle Department of Epidemiology, University of Washington, Seattle
| | - A Wolk
- Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - B M Wolpin
- Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston Department of Medical Oncology, Dana-Farber Cancer Institute, Boston
| | - A Zeleniuch-Jacquotte
- Department of Population Health and Perlmutter Cancer Center, New York University, New York, USA
| | - E J Jacobs
- Epidemiology Research Program, American Cancer Society, Atlanta
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Brankin B, Skaar TC, Brotzman M, Trock B, Clarke R. Autoantibodies to the nuclear phosphoprotein nucleophosmin in breast cancer patients. Cancer Epidemiol Biomarkers Prev 1998; 7:1109-15. [PMID: 9865429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023] Open
Abstract
Nucleophosmin (NPM) is an estrogen-regulated nucleolar phosphoprotein; a substrate for phosphorylation by p34cdc2 kinase, protein kinase C, and casein kinase II; and a repressor of the transcriptional regulating activities of the YY1 and IFN regulatory factor-1 transcription factors. We have completed a pilot study to determine whether autoantibodies to NPM are present in breast cancer patients and explored the ability of these autoantibodies to predict recurrence in breast cancer patients. One hundred breast cancer patients were studied: 50 who recurred, and 50 matched for age and length of follow-up but who did not recur. Patients' sera were collected at the times of diagnosis (T1), six months before recurrence (T2), and at recurrence (T3). Recurrent and nonrecurrent patients did not differ in autoantibody levels at the times of diagnosis or recurrence. However, antiNPM autoantibody levels increase significantly between diagnosis and six months before recurrence in recurrent patients, whereas no change occurs over the comparable time period in nonrecurrent patients (repeated measures ANOVA; P = 0.041). At recurrence, the levels return to those seen at diagnosis. The greater the change in levels between T1 and T2, the greater the risk of recurrence within the next 6 months (conditional logistic regression: increase in risk for highest versus lowest tertile of change from T1 to T2; odds ratio, 3.25; 95% confidence interval, 1.04-10.18; P = 0.043). Consistent with the estrogenic/antiestrogenic regulation of the antigen in breast cancer cells, the levels of antiNPM autoantibodies are decreased 6 months before recurrence in patients treated with the antiestrogen tamoxifen (P = 0.012). The association between antiNPM levels and recurrence remained after adjustment for confounding factors. Further study of antiNPM autoantibody levels as a new and simple, intermediate serum biomarker for predicting both the timing of recurrence and monitoring response to endocrine manipulations in breast cancer patients is warranted.
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Affiliation(s)
- B Brankin
- Vincent T. Lombardi Cancer Center, Georgetown University Medical Center, Washington, DC 20007, USA
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