Literature DB >> 17548679

Different risk factor profiles for mucinous and nonmucinous ovarian cancer: results from the Danish MALOVA study.

Marie Soegaard1, Allan Jensen, Estrid Høgdall, Lise Christensen, Claus Høgdall, Jan Blaakaer, Susanne K Kjaer.   

Abstract

OBJECTIVES: The aim of the study was to examine the overall risk factors for epithelial ovarian cancer and according to histologic subtypes.
MATERIALS AND METHODS: Ovarian cancer cases and controls were recruited from 1995 to 1999, and personal interviews were conducted. A total of 554 cases and 1,564 randomly selected controls were included. The analyses were done using multiple logistic regression models.
RESULTS: The overall risk of ovarian cancer decreased with ever being pregnant [odds ratios (OR), 0.40; 95% confidence intervals (CI), 0.30-0.55], with increasing pregnancies (OR, 0.63; 95% CI, 0.45-0.87 and OR, 0.51; 95% CI, 0.37-0.69 for two and three pregnancies as compared with one), and with older age at first and last pregnancy, respectively. Increasing years of ovulation was a very strong risk factor with a 7% to 8% increase in risk for each year of ovulation. Use of oral contraceptives (OR, 0.67, 95% CI, 0.53-0.85) and longer duration of use were associated with a decreased risk of ovarian cancer. Ever use of hormone replacement therapy increased the overall risk (OR, 1.30; 95% CI, 1.05-1.61). For all those variables, the effect was present for serous tumors, endometrioid tumors, and tumors of other histologies, but not for mucinous tumors. In contrast, current smoking was a risk factor only for mucinous tumors (OR, 1.78; 95% CI, 1.01-3.15) and increasing body mass index tended to increase the risk especially for mucinous and endometrioid tumors.
CONCLUSIONS: We confirmed already known risk factors for ovarian cancer, and we observed significant differences in the risk profiles between mucinous and nonmucinous tumors indicating different etiologies.

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Year:  2007        PMID: 17548679     DOI: 10.1158/1055-9965.EPI-07-0089

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  37 in total

1.  Single nucleotide polymorphisms in the TP53 region and susceptibility to invasive epithelial ovarian cancer.

Authors:  Joellen M Schildkraut; Ellen L Goode; Merlise A Clyde; Edwin S Iversen; Patricia G Moorman; Andrew Berchuck; Jeffrey R Marks; Jolanta Lissowska; Louise Brinton; Beata Peplonska; Julie M Cunningham; Robert A Vierkant; David N Rider; Georgia Chenevix-Trench; Penelope M Webb; Jonathan Beesley; Xiaoqing Chen; Catherine Phelan; Rebecca Sutphen; Thomas A Sellers; Leigh Pearce; Anna H Wu; David Van Den Berg; David Conti; Christopher K Elund; Rebecca Anderson; Marc T Goodman; Galina Lurie; Michael E Carney; Pamela J Thompson; Simon A Gayther; Susan J Ramus; Ian Jacobs; Susanne Krüger Kjaer; Estrid Hogdall; Jan Blaakaer; Claus Hogdall; Douglas F Easton; Honglin Song; Paul D P Pharoah; Alice S Whittemore; Valerie McGuire; Lydia Quaye; Hoda Anton-Culver; Argyrios Ziogas; Kathryn L Terry; Daniel W Cramer; Susan E Hankinson; Shelley S Tworoger; Brian Calingaert; Stephen Chanock; Mark Sherman; Montserrat Garcia-Closas
Journal:  Cancer Res       Date:  2009-03-10       Impact factor: 12.701

2.  Vitamin D receptor rs2228570 polymorphism and invasive ovarian carcinoma risk: pooled analysis in five studies within the Ovarian Cancer Association Consortium.

Authors:  Galina Lurie; Lynne R Wilkens; Pamela J Thompson; Michael E Carney; Rachel T Palmieri; Paul D P Pharoah; Honglin Song; Estrid Hogdall; Susanne Kruger Kjaer; Richard A DiCioccio; Valerie McGuire; Alice S Whittemore; Simon A Gayther; Aleksandra Gentry-Maharaj; Usha Menon; Susan J Ramus; Marc T Goodman
Journal:  Int J Cancer       Date:  2011-02-15       Impact factor: 7.396

3.  Massively parallel sequencing analysis of mucinous ovarian carcinomas: genomic profiling and differential diagnoses.

Authors:  Jennifer J Mueller; Brooke A Schlappe; Rahul Kumar; Narciso Olvera; Fanny Dao; Nadeem Abu-Rustum; Carol Aghajanian; Deborah DeLair; Yaser R Hussein; Robert A Soslow; Douglas A Levine; Britta Weigelt
Journal:  Gynecol Oncol       Date:  2018-05-22       Impact factor: 5.482

4.  Genetic variation in telomere maintenance genes in relation to ovarian cancer survival.

Authors:  Holly R Harris; Immaculata De Vivo; Linda J Titus; Allison F Vitonis; Jason Y Y Wong; Daniel W Cramer; Kathryn L Terry
Journal:  Int J Mol Epidemiol Genet       Date:  2012-08-31

Review 5.  The role of the fallopian tube in the origin of ovarian cancer.

Authors:  Britt K Erickson; Michael G Conner; Charles N Landen
Journal:  Am J Obstet Gynecol       Date:  2013-04-10       Impact factor: 8.661

6.  Risk of ovarian cancer in women treated with ovarian stimulating drugs for infertility.

Authors:  Ivana Rizzuto; Renee F Behrens; Lesley A Smith
Journal:  Cochrane Database Syst Rev       Date:  2019-06-18

Review 7.  Association between Cigarette Smoking and Histotype-Specific Epithelial Ovarian Cancer: A Review of Epidemiologic Studies.

Authors:  Aili Zhou; Albina N Minlikeeva; Sadat Khan; Kirsten B Moysich
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-05-01       Impact factor: 4.254

8.  Breast-feeding the last born child and risk of ovarian cancer.

Authors:  Linda Titus-Ernstoff; Judy R Rees; Kathryn L Terry; Daniel W Cramer
Journal:  Cancer Causes Control       Date:  2009-11-10       Impact factor: 2.506

Review 9.  Current understanding of risk factors for ovarian cancer.

Authors:  Thanasak Sueblinvong; Michael E Carney
Journal:  Curr Treat Options Oncol       Date:  2009-07-15

10.  Reproductive characteristics in relation to ovarian cancer risk by histologic pathways.

Authors:  M A Merritt; M De Pari; A F Vitonis; L J Titus; D W Cramer; K L Terry
Journal:  Hum Reprod       Date:  2013-01-12       Impact factor: 6.918

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