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Polycystic Ovary Syndrome, Oligomenorrhea, and Risk of Ovarian Cancer Histotypes: Evidence from the Ovarian Cancer Association Consortium.

Publication ,  Journal Article
Harris, HR; Babic, A; Webb, PM; Nagle, CM; Jordan, SJ; Risch, HA; Rossing, MA; Doherty, JA; Goodman, MT; Modugno, F; Ness, RB; Moysich, KB ...
Published in: Cancer Epidemiol Biomarkers Prev
February 2018

Background: Polycystic ovary syndrome (PCOS), and one of its distinguishing characteristics, oligomenorrhea, have both been associated with ovarian cancer risk in some but not all studies. However, these associations have been rarely examined by ovarian cancer histotypes, which may explain the lack of clear associations reported in previous studies.Methods: We analyzed data from 14 case-control studies including 16,594 women with invasive ovarian cancer (n = 13,719) or borderline ovarian disease (n = 2,875) and 17,718 controls. Adjusted study-specific ORs were calculated using logistic regression and combined using random-effects meta-analysis. Pooled histotype-specific ORs were calculated using polytomous logistic regression.Results: Women reporting menstrual cycle length >35 days had decreased risk of invasive ovarian cancer compared with women reporting cycle length ≤35 days [OR = 0.70; 95% confidence interval (CI) = 0.58-0.84]. Decreased risk of invasive ovarian cancer was also observed among women who reported irregular menstrual cycles compared with women with regular cycles (OR = 0.83; 95% CI = 0.76-0.89). No significant association was observed between self-reported PCOS and invasive ovarian cancer risk (OR = 0.87; 95% CI = 0.65-1.15). There was a decreased risk of all individual invasive histotypes for women with menstrual cycle length >35 days, but no association with serous borderline tumors (Pheterogeneity = 0.006). Similarly, we observed decreased risks of most invasive histotypes among women with irregular cycles, but an increased risk of borderline serous and mucinous tumors (Pheterogeneity < 0.0001).Conclusions: Our results suggest that menstrual cycle characteristics influence ovarian cancer risk differentially based on histotype.Impact: These results highlight the importance of examining ovarian cancer risk factors associations by histologic subtype. Cancer Epidemiol Biomarkers Prev; 27(2); 174-82. ©2017 AACR.

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Published In

Cancer Epidemiol Biomarkers Prev

DOI

EISSN

1538-7755

Publication Date

February 2018

Volume

27

Issue

2

Start / End Page

174 / 182

Location

United States

Related Subject Headings

  • Time Factors
  • Self Report
  • Risk Factors
  • Polycystic Ovary Syndrome
  • Ovarian Neoplasms
  • Oligomenorrhea
  • Odds Ratio
  • Middle Aged
  • Menstrual Cycle
  • Logistic Models
 

Citation

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Harris, H. R., Babic, A., Webb, P. M., Nagle, C. M., Jordan, S. J., Risch, H. A., … Australian Ovarian Cancer Study Group, . (2018). Polycystic Ovary Syndrome, Oligomenorrhea, and Risk of Ovarian Cancer Histotypes: Evidence from the Ovarian Cancer Association Consortium. Cancer Epidemiol Biomarkers Prev, 27(2), 174–182. https://doi.org/10.1158/1055-9965.EPI-17-0655
Harris, Holly R., Ana Babic, Penelope M. Webb, Christina M. Nagle, Susan J. Jordan, Harvey A. Risch, Mary Anne Rossing, et al. “Polycystic Ovary Syndrome, Oligomenorrhea, and Risk of Ovarian Cancer Histotypes: Evidence from the Ovarian Cancer Association Consortium.Cancer Epidemiol Biomarkers Prev 27, no. 2 (February 2018): 174–82. https://doi.org/10.1158/1055-9965.EPI-17-0655.
Harris HR, Babic A, Webb PM, Nagle CM, Jordan SJ, Risch HA, et al. Polycystic Ovary Syndrome, Oligomenorrhea, and Risk of Ovarian Cancer Histotypes: Evidence from the Ovarian Cancer Association Consortium. Cancer Epidemiol Biomarkers Prev. 2018 Feb;27(2):174–82.
Harris, Holly R., et al. “Polycystic Ovary Syndrome, Oligomenorrhea, and Risk of Ovarian Cancer Histotypes: Evidence from the Ovarian Cancer Association Consortium.Cancer Epidemiol Biomarkers Prev, vol. 27, no. 2, Feb. 2018, pp. 174–82. Pubmed, doi:10.1158/1055-9965.EPI-17-0655.
Harris HR, Babic A, Webb PM, Nagle CM, Jordan SJ, Risch HA, Rossing MA, Doherty JA, Goodman MT, Modugno F, Ness RB, Moysich KB, Kjær SK, Høgdall E, Jensen A, Schildkraut JM, Berchuck A, Cramer DW, Bandera EV, Wentzensen N, Kotsopoulos J, Narod SA, Phelan CM, McLaughlin JR, Anton-Culver H, Ziogas A, Pearce CL, Wu AH, Terry KL, Ovarian Cancer Association Consortium, Australian Ovarian Cancer Study Group. Polycystic Ovary Syndrome, Oligomenorrhea, and Risk of Ovarian Cancer Histotypes: Evidence from the Ovarian Cancer Association Consortium. Cancer Epidemiol Biomarkers Prev. 2018 Feb;27(2):174–182.

Published In

Cancer Epidemiol Biomarkers Prev

DOI

EISSN

1538-7755

Publication Date

February 2018

Volume

27

Issue

2

Start / End Page

174 / 182

Location

United States

Related Subject Headings

  • Time Factors
  • Self Report
  • Risk Factors
  • Polycystic Ovary Syndrome
  • Ovarian Neoplasms
  • Oligomenorrhea
  • Odds Ratio
  • Middle Aged
  • Menstrual Cycle
  • Logistic Models