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Placental characteristics as a proxy measure of serum hormone and protein levels during pregnancy with a male fetus.
MedLine Citation:
PMID:  21336590     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
OBJECTIVE: In utero exposure to steroid hormones may be related to risk of some cancers such as testicular germ cell tumors (TGCT). To determine whether placental characteristics are good surrogate measures of maternal biomarker levels, we evaluated the correlations in mothers of sons at higher (whites, n = 150) and lower (blacks, n = 150) risk of TGCT. Associations with birth weight were also examined. METHODS: All mothers, participants in the Collaborative Perinatal Project, were primigravidas who gave birth to male singletons. Associations between placental weight and placental thickness and third-trimester biomarker levels were evaluated using linear regression. Partial correlation coefficients for placental characteristics and birth weight were also estimated. RESULTS: Placental weight was positively correlated with alpha-fetoprotein (AFP), sex hormone-binding globulin (SHBG), testosterone, estradiol and estriol in whites, and AFP and estriol in blacks. Placental thickness was not associated with any biomarker. After adjustment for placental weight, birth weight was not correlated with any biomarker. CONCLUSIONS: In these data, placental weight was modestly correlated with third-trimester biomarker level; however, it appeared to be a better surrogate for third-trimester biomarker level than birth weight. Placental thickness had limited utility as a surrogate measure for biomarker levels.
Authors:
Britton Trabert; Matthew P Longnecker; Barry I Graubard; Mark A Klebanoff; Frank Z Stanczyk; Katherine A McGlynn
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-2-19
Journal Detail:
Title:  Cancer causes & control : CCC     Volume:  -     ISSN:  1573-7225     ISO Abbreviation:  -     Publication Date:  2011 Feb 
Date Detail:
Created Date:  2011-2-21     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9100846     Medline TA:  Cancer Causes Control     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Hormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, 6120 Executive Boulevard, Suite 550, Rockville, MD, 20852-7234, USA, trabertbl@mail.nih.gov.
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