DTIC ADA549256: Pathways to Understanding Ovarian Cancer pdf

DTIC ADA549256: Pathways to Understanding Ovarian Cancer

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Distinguishing whether traditional ovarian cancer risk factors differ by tissue of origin (ovarian vs. fallopian) may further our understanding of these pathways. Likely tissue of origin can be estimated from pathology reports by presence or absence of a two-fold difference in tumor size between ovaries. We applied this classification algorithm to ovarian cancer cases in a population based case-control study (NEC) and two prospective cohort studies (NHS/NHSII). We used polytomous logistic regression (for NEC) and competing risks models (for NHS) to estimate associations. Among the 1801 invasive epithelial cases, we observed 1127 tumors with a dominant mass, indicating a greater likelihood of ovarian origin, and 674 with no dominant mass, indicating a greater likelihood of fallopian tube origin. The dominant cases were more likely to be mucinous, endometrioid, clear cell, or undifferentiated while the non-dominant cases were more likely to be serous invasive ovarian cancers. Our results suggest that tubal ligation and parity may be more strongly associated with tumors of ovarian origin, while family history of ovarian cancer and possibly past smoking primarily increases risk of tumors of tubal origin.

Furthermore, our data suggest aspirin and NSAID use may be more strongly associated with tubal tumors

• Creator/s: Defense Technical Information Center
• Date: 5/1/2011
• Year: 2011
• Book Topics/Themes: DTIC Archive, , BRIGHAM AND WOMENS HOSPITAL BOSTON MA, *OVARIAN CANCER, ALGORITHMS, ESTIMATES, GENETICS, NEOPLASMS, OVARIES, PARITY, PATHOLOGY, RISK, SALICYLIC ACIDS, TUBES

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