Objective
CA125
at presentation of ovarian cancer carries important prognostic
significance; but, other than tumor characteristics, little is known
about factors that influence CA125 levels. We examined the effect of
epidemiologic variables and tumor features on CA125 at diagnosis and
their effects on survival.
Methods
CA125
levels before treatment, tumor features, and questionnaire data from
805 women with ovarian cancer receiving care at Partners Hospitals were
recorded. CA125 values were log-normalized and generalized linear,
logistic, or Cox proportional hazards models used to identify predictors
of CA125 and influence on survival in the subset of women with
invasive, nonmucinous tumors.
Results
The
importance of histology, grade, stage, laterality, and presence of
ascites on CA125 level was confirmed. For nonmucinous invasive cancers,
Jewish ethnicity, parity, prior breast cancer, and family history of
breast or ovarian cancer predicted higher CA125, and greater body mass
index (BMI), recurrent yeast infections, colitis, and appendectomy
predicted lower CA125. A quadratic model best described the relationship
between CA125 and age with lower levels in youngest and oldest women.
In multivariate modeling, stage, ascites, and prior breast cancer were
the strongest predictors of high CA125 and appendectomy and yeast
infections strongest predictors of low CA125. A model with these
variables plus CA125 revealed high CA125 remains a predictor of poorer
survival.
Conclusions
Ovarian
tumor features and presence of ascites are key determinants of CA125 at
diagnosis, but epidemiologic features such as BMI, parity, prior breast
cancer, and history of inflammatory conditions of the genitourinary or
gastrointestinal tracts may also play a role.
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