Mammographic Density and Risk of Breast
Cancer
Newswise, April 2010 — Women who have a
breast density of 75 percent or higher on a
mammogram have a risk of breast cancer that
is four to five times greater than that of
women with little or no density, making
mammographic breast density one of the
strongest biomarkers of breast cancer risk.
At the American Association for Cancer
Research 101st Annual Meeting 2010, held in
Washington, D.C., April 17-21, researchers
will present the latest data on mammographic
density and breast cancer risk.
“These abstracts strengthen the observation
that high breast density is associated with
increased risk for breast cancer, and they
strengthen the hypothesis that under some
conditions, reducing breast density may be
associated with reduced risk for breast
cancer,” said Carol J. Fabian, M.D.,
professor of medicine in the division of
clinical oncology and director of the Breast
Cancer Prevention Center at the University
of Kansas Medical Center.
Mammographic density refers to the amount of
white or radiodense area compared to the
amount of grey or radiolucent area on a
mammogram. The radiodense area is reflective
of the amount of ductal and lobular
epithelium, connective tissue and fluid in
the breast. The radiolucent area is
reflective of the amount of fat in the
breast.
While increased breast density is a known
risk factor for breast cancer, having a
lower breast density doesn’t necessarily
mean a low risk of developing breast cancer,
according to Fabian. Other risk factors are
at play, and mammographic density is one
tool to help determine a women’s risk.
“The cancer research community is always
looking for new methods to better define
short-term risk to supplement the known risk
factors for breast cancer like family
history, genes associated with hereditary
breast cancer, reproductive variables and
age,” said Fabian.
“Modifiable risk biomarkers like
mammographic density are increasingly being
used in small early phase prevention trials
to help us decide which interesting
strategies should be carried further into
very large Phase III studies with cancer
incidence as an endpoint.”
The AACR has highlighted the following
abstracts on new research in mammographic
density, which will be presented at the
Annual Meeting:
4828. Longitudinal breast density and risk
of breast cancer
Women who have a decrease in breast density
over a six-year period may have a decreased
risk of developing breast cancer compared
with women whose breast density remained
stable.
“A decrease in breast density appears to be
associated with a lower breast cancer risk,
and importantly, this result takes into
account baseline breast density, as well as
changes in BMI that occurred between
mammographic assessments,” said lead
researcher Celine M. Vachon, Ph.D.,
associate professor of epidemiology in the
College of Medicine at the Mayo Clinic,
Rochester, Minn.
Vachon and colleagues evaluated whether
changes in breast density over time are
associated with breast cancer risk using
data collected as part of the Mayo
Mammography Health Study, which included
19,924 women who had a mammogram at the Mayo
Clinic between 2003 and 2006. Participants
had never had breast cancer and were more
than 35 years old at time of the mammogram.
Study variables were derived from clinical
databases as well as self-administered
questionnaires completed by the
participants. The researchers performed
linkages to Mayo and state cancer registries
to identify new breast cancer events.
To examine the association between change in
density with breast cancer, longitudinal
analyses were conducted on the 219 breast
cancer cases and 1,900 cancer-free cases
that represented a random sample of the
entire cohort.
Breast density was obtained from the
earliest available historical mammogram, and
from the mammogram that was obtained at the
time of enrollment using the Breast
Imaging-Reporting and Data System (BI-RADS)
— a quality assurance mammography tool
designed to measure clinical density that,
for breast composition categories, is
classified as almost entirely fat, scattered
density, heterogeneous density and extremely
dense.
The differences between the BI-RADS measures
obtained from the two time periods were used
to evaluate changes in density over time.
Results showed that cases were less likely
to have experienced a reduction of one BI-RADS
density category or more (37 percent vs.
38.6 percent) after their earliest
mammogram.
“Women who experienced a reduction of at
least one density category over the six
years were at reduced risk of breast cancer
(28 percent lower risk) compared to those
whose density was unchanged,” Vachon said.
“And, women who increased by one or more BI-RADS
categories over the time period had
suggestion of increased risk.”
Change in
mammographic density with estrogen and
progestin therapy: A measure of breast
cancer risk in the Women’s Health Initiative
Change in mammographic density may be a
useful intermediate marker to explain the
increased breast cancer risk among
postmenopausal women using estrogen and
progestin therapy (EPT), according to
results of a case-control study conducted
within the Women’s Health Initiative (WHI)
randomized trial of EPT.
Mammographic density is one of the strongest
predictors of breast cancer risk.
“As breast density increases so does women’s
risk for breast cancer — we were able to
predict this risk in our study population,”
said lead researcher Celia Byrne, Ph.D.,
assistant professor of oncology at the
Lombardi Comprehensive Cancer Center at
Georgetown University.
Using data from the WHI, Byrne and
colleagues evaluated the baseline and
one-year follow-up mammograms from 97 women
who developed invasive breast cancer in the
EPT group and 77 in the placebo group. They
also evaluated mammograms from a random
sample of 733 healthy controls from both the
EPT and placebo groups.
Approximately half (57 percent) of the women
in the placebo group had a decline in
mammographic density compared with 16
percent of the women in the EPT group.
Forty-seven percent of the placebo group had
a modest increase compared with 85 percent
in the estrogen EPT group.
Among the postmenopausal women randomized to
EPT, risk of breast cancer risk increased
3.6-fold in 20 percent, with the greatest
increase in mammographic density.
The researchers also found that baseline and
change in mammographic density were
significantly associated with breast cancer
risk in the EPT group. Comparing breast
density from the first and second mammogram,
they could “predict” the women at increased
risk of developing breast cancer.
Consistent with the original findings of the
WHI, the researchers reported an association
between EPT and breast cancer risk; there
was a 24 percent increased risk, which was
explained by the change in breast density,
according to Byrne.
In addition to considering change in breast
density among postmenopausal women taking
EPT, “baseline breast density needs to be
incorporated more in thinking about breast
cancer risk,” said Byrne. “We need to better
understand patients who aren’t on estrogen
and progestin therapy and what makes some
women’s breast density decline and others
stay high.”
3768. Comparison of breast density measured
by dual energy X-ray absorptiometry with
mammographic density among adult women
Measuring breast density by dual energy
X-ray absorptiometry (DXA) may provide a
low-radiation option to evaluate breast
density for women who do not undergo
mammography.
According to lead researcher Gertraud
Maskarinec, M.D., Ph.D., it is important to
study breast cancer risk in younger women
and identify women for targeted prevention
strategies early in life.
However, evaluating breast cancer risk
through use of mammography is known to have
a level of radiation exposure that is not
acceptable for younger women; therefore,
other methods are needed to evaluate breast
density.
“Our findings indicate there is agreement
between breast density as determined by
mammograms and the use of DXA,” said
Maskarinec, who is professor of epidemiology
at the Cancer Research Center at the
University of Hawaii, Honolulu.
DXA is widely used to evaluate bone density
and total body composition. It is commonly
available in medical care settings and is
known to have low radiation exposure.
Maskarinec and colleagues conducted a
cross-sectional study to compare breast
density measured by DXA with mammographic
density among 101 women aged 30 years and
older with a normal mammogram.
Participants completed questionnaires on
demographic, reproductive and medical
information, and then received DXA scans of
both breasts.
Both DXA and mammographic measures showed
high correlations between left and right
breasts and common risk factors showed
similar patterns for both measurements.
“We now know something about how DXA
performs when used to measure breast
density,” said Maskarinec. “This is not
practice-changing at the moment, but it does
present the potential for future studies to
elaborate on DXA’s use as a new research
tool in breast cancer prevention studies
among adolescents and young women.”
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