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INFORMATION FOR

    Smilow Shares: Breast Cancer Awareness Month: Screening, Genetics, and Prevention

    October 03, 2025

    October 2, 2025

    Presentations by: Parisa Lotfi, MD, Tracy Battaglia, MD, MPH, and Melinda Irwin, PhD, MPH

    ID
    13485

    Transcript

    • 00:06Alright. Welcome, everyone.
    • 00:08This is Milo Shares Breast
    • 00:10Cancer Awareness Month. This is
    • 00:11the first of three presentations,
    • 00:14and this one is called
    • 00:15understanding breast health, screening genetics
    • 00:18and prevention.
    • 00:20And I'm John Lewin. I'm
    • 00:21the moderator for this session,
    • 00:24and we have
    • 00:26three
    • 00:31experts.
    • 00:40So we have doctor Pris
    • 00:42Salafi,
    • 00:42who's my colleague in the
    • 00:44department of radiology and biomedical
    • 00:45imaging,
    • 00:47and she will be talking
    • 00:48about
    • 00:49screening,
    • 00:50and Tracy Battaglia,
    • 00:52who is professor of medicine
    • 00:54and associate director community outreach
    • 00:56and engagement for the Yale
    • 00:57Cancer Center,
    • 00:59and Linda Erwin,
    • 01:01who's associate dean of research,
    • 01:03and Susan Dwight Bliss professor
    • 01:05of epidemiology,
    • 01:07deputy director of the Yale
    • 01:09Cancer Center, who will be
    • 01:10talking about
    • 01:11risk modification.
    • 01:14And so without any further
    • 01:16ado, I will stop sharing
    • 01:17my screen, and doctor Lottie
    • 01:19can start her presentation.
    • 01:25Okay.
    • 01:31I hope everyone is having
    • 01:32a good evening.
    • 01:34I'm gonna briefly talk about
    • 01:35breast cancer, current screening recommendations.
    • 01:43We all are aware or
    • 01:44have heard of the US
    • 01:46Preventative
    • 01:47Services
    • 01:48Task Force.
    • 01:50This is a task force
    • 01:51that is,
    • 01:53assigned by the government
    • 01:55to look at medical data
    • 01:58and make recommendations
    • 02:00for screening
    • 02:01different,
    • 02:02types of
    • 02:04diseases.
    • 02:05But specific to breast cancer
    • 02:07screening, they just modified their
    • 02:10recommendation,
    • 02:11recently last year,
    • 02:13and they lowered the start
    • 02:16age for screening.
    • 02:17Now they recommend women aged
    • 02:19forty to seventy four get
    • 02:21screened. However, their recommendation says,
    • 02:24every two years.
    • 02:26And, women seventy five years
    • 02:28or older,
    • 02:29they said that there isn't
    • 02:31sufficient,
    • 02:32evidence to assess the balance
    • 02:34of benefits and harms of
    • 02:36screening mammography in this population.
    • 02:38They also recommended that women
    • 02:40with dense breast,
    • 02:42that there isn't enough evidence
    • 02:44to assess the balance of
    • 02:45benefits and harms.
    • 02:47Now
    • 02:48we can talk about an
    • 02:50hour about the data they
    • 02:51looked at and
    • 02:54what they considered harms and
    • 02:56benefits. But one thing they
    • 02:58considered a harm of screening
    • 03:00was anxiety of women and,
    • 03:02potential callback rates.
    • 03:05Briefly, I just wanna say
    • 03:06that when
    • 03:08screening mammography is the standard
    • 03:10of care, and this is
    • 03:11going back decades, and we
    • 03:13have,
    • 03:15extensive research proving that screening
    • 03:17mammography
    • 03:18saves lives.
    • 03:20Women who had a screening
    • 03:21mammogram compared to women who
    • 03:23didn't definitely live longer, and,
    • 03:26that's how we know.
    • 03:29Everything else, ultrasound
    • 03:31and MRI
    • 03:32and other modalities that I
    • 03:34will talk about, like contrast
    • 03:36enhanced mammography,
    • 03:37we don't have enough data
    • 03:38to know decades worth of
    • 03:40data to know if these
    • 03:42are actually
    • 03:43making women die less of
    • 03:46a breast cancer.
    • 03:49So current
    • 03:51guidelines,
    • 03:52this is a table that
    • 03:54is talking about the different
    • 03:55societies, medical societies talking about
    • 03:58screening guidelines.
    • 04:00I talked about the,
    • 04:02task force. It says start
    • 04:03at forty every two years.
    • 04:05And then different societies like
    • 04:07ACOG is the OB GYN,
    • 04:09society, American Cancer Society, American
    • 04:12Medical Association,
    • 04:14they all pretty much are
    • 04:15recommending
    • 04:16starting at forty. And for
    • 04:17the most part, annual screening
    • 04:19is recommended.
    • 04:21For women older than seventy
    • 04:22five, it's based on shared
    • 04:24decision making. If people are
    • 04:26in good health, if women
    • 04:28are in good health and
    • 04:29they have at least ten
    • 04:30more life, years ahead of
    • 04:32them,
    • 04:33it's a good idea to
    • 04:34continue with mammography. But that's
    • 04:36a personal choice, and it
    • 04:37can be discussed with,
    • 04:40their primary care physicians
    • 04:42and, come to a decision
    • 04:44that's appropriate for that individual.
    • 04:47I am a radiologist, so
    • 04:48I'm gonna talk about American
    • 04:50College of Radiology and Society
    • 04:52of Breast Imaging recommendations,
    • 04:55which basically says start at
    • 04:57forty.
    • 04:57Every year, get a mammogram,
    • 04:59and there is no age
    • 05:00limit.
    • 05:01But, obviously, we do consider
    • 05:03individual health status.
    • 05:06So,
    • 05:07American College of Radiology
    • 05:09recently,
    • 05:10in the last few years,
    • 05:12changed their recommendations
    • 05:13in terms of,
    • 05:15breast
    • 05:16care. And,
    • 05:18they brought to light the
    • 05:20importance of having a risk
    • 05:21assessment
    • 05:22for women,
    • 05:23and they're recommending that women
    • 05:25get a risk assessment
    • 05:27by age twenty five. Every
    • 05:28woman should know if they're
    • 05:30high risk, low risk, if
    • 05:31they're average risk, discuss as
    • 05:34far as they know,
    • 05:36discuss that with their primary
    • 05:37care or, their gynecologist
    • 05:40so that they can
    • 05:41appropriately
    • 05:42be screened starting at that
    • 05:44age.
    • 05:46So
    • 05:47high risk women, as determined
    • 05:49by the risk
    • 05:51assessment models, are deemed high
    • 05:53risk.
    • 05:55If they desire anything more
    • 05:56than a mammogram,
    • 05:58because they're high risk, they
    • 06:00should get some other supplemental
    • 06:02screening.
    • 06:03So MRI has been our
    • 06:05traditional screening tool for those
    • 06:07women. If for some reason
    • 06:08they can't undergo MRI screening,
    • 06:11and there could be the
    • 06:13different reasons for that,
    • 06:15definitely ultrasound and,
    • 06:17institutions that have contrast enhanced
    • 06:19mammography,
    • 06:21they should undergo that,
    • 06:23procedure.
    • 06:24I will talk a little
    • 06:25bit more about that, in
    • 06:27a bit.
    • 06:28Women who have dense breasts
    • 06:30and are not necessarily
    • 06:32high risk, but they want
    • 06:34supplemental
    • 06:35screening,
    • 06:36they can get a breast
    • 06:38MRI. However, sometimes insurances don't
    • 06:40cover that. Most insurances don't
    • 06:43or the they're cost prohibitive
    • 06:45or there's a contraindication
    • 06:47for getting an MRI.
    • 06:49It's important that these women
    • 06:50know they have options. Ultrasound
    • 06:52or contrast enhanced mammography
    • 06:54should be considered.
    • 06:56If someone is intermediate risk,
    • 06:58and, again, these are calculated
    • 07:00lifetime risks with which my
    • 07:02colleagues will talk about,
    • 07:04in a minute.
    • 07:07The and and have dense
    • 07:09breasts.
    • 07:09Of course, they should continue
    • 07:11with mammography but also get
    • 07:13MRI or, ultrasound.
    • 07:17So just to talk about
    • 07:18mammographic density,
    • 07:20mammograms are black and white
    • 07:22and gray. And, basically,
    • 07:24anything that's gray or black
    • 07:26is good.
    • 07:28This is the opposite of
    • 07:29real life,
    • 07:30and white is glandular breast
    • 07:32tissue. However,
    • 07:33cancer,
    • 07:35cysts,
    • 07:36benign masses, anything else that
    • 07:38is not tracked will also
    • 07:39be white.
    • 07:41So when we are going
    • 07:42from left to right, we
    • 07:44are seeing an increase in
    • 07:45the breast tissue density.
    • 07:47This, the right side is
    • 07:49considered an extremely dense mammogram,
    • 07:52and you can see that
    • 07:53the majority of this breast
    • 07:55is white. And if
    • 07:57this breast had a small
    • 07:59cancer in it, it would
    • 08:00be very difficult to see
    • 08:02it because it's gonna blend
    • 08:03in with the adjacent breast
    • 08:05tissue. And this is why
    • 08:07it's important that women who
    • 08:09have extremely dense breasts
    • 08:11should consider additional supplemental
    • 08:14screening. This is a fatty
    • 08:16breast,
    • 08:17and,
    • 08:18you can see that if
    • 08:19there was a mass this
    • 08:21is a normal structure here.
    • 08:22But let's say there was
    • 08:23a mass, it would be
    • 08:24white, and it would be
    • 08:25extremely
    • 08:27easy to appreciate it.
    • 08:30About
    • 08:31of the four categories, half
    • 08:33are dense and half are
    • 08:35not dense. And about half
    • 08:37the population
    • 08:38has dense breasts and half
    • 08:39the population doesn't.
    • 08:42The last one, the extremely
    • 08:43dense,
    • 08:45category is about ten percent
    • 08:47of women. So not very
    • 08:48common, but extremely important.
    • 08:51Density by itself is also
    • 08:53a risk factor.
    • 08:55So women who have denser
    • 08:56breasts have a higher risk
    • 08:59for developing breast cancer compared
    • 09:01to women who have a
    • 09:02fatty breast. For example, one
    • 09:04and four,
    • 09:06the four, which is extremely
    • 09:07dense breast, has a four
    • 09:09times
    • 09:10more risk of developing breast
    • 09:12cancer compared to a fatty
    • 09:13breast and about two times
    • 09:15higher than an average breast.
    • 09:18So when we have, increased
    • 09:21density
    • 09:22from, again, left to right,
    • 09:24we can see the density
    • 09:25of the breast or the
    • 09:26whiteness is increasing.
    • 09:29That lowers our sensitivity
    • 09:31of mammography and increases the
    • 09:33risk of cancer not being
    • 09:35detected.
    • 09:36I don't like using the
    • 09:38word missing cancer. We're not
    • 09:40missing it. We're just not
    • 09:41seeing it. We're not detecting
    • 09:43it. So as we go
    • 09:44from left to right, you
    • 09:46can see that,
    • 09:48the risk increases for nondetection
    • 09:51of breast cancer, and the
    • 09:53extremely dense breast has a
    • 09:54more than sixty percent risk
    • 09:56of, nondetection.
    • 10:00So in order to look
    • 10:01at,
    • 10:03dense breast and utility
    • 10:05of, additional supplemental
    • 10:08screening,
    • 10:09there were several trials that
    • 10:10were recently published.
    • 10:12One was the DENSE trial,
    • 10:14which is the
    • 10:16the dense tissue and early
    • 10:17breast neoplasm screening. This was
    • 10:19a very good trial. It
    • 10:20was randomized controlled trial. It
    • 10:22was in the Netherlands.
    • 10:24And they added MRI in
    • 10:26a population of fifty to
    • 10:28seventy five year olds,
    • 10:30women, who had extremely dense
    • 10:31breast tissue and had a
    • 10:33normal mammogram.
    • 10:35And they wanted to see,
    • 10:37different things, but one was
    • 10:39they wanted to see patients
    • 10:41who had that added MRI.
    • 10:43Do they have
    • 10:44a lower rate of interval
    • 10:46cancer?
    • 10:47Interval cancers are cancers that
    • 10:49develop in between screening,
    • 10:53timelines.
    • 10:54And for them, it was
    • 10:55every two years. They also
    • 10:57looked at other things. For
    • 10:59example, they wanted to see
    • 11:00what is the detection rate
    • 11:01of MRI.
    • 11:03Are there false positives?
    • 11:05What kind of tumors are
    • 11:06detected by MR and some
    • 11:08other characteristics?
    • 11:10They were lucky. They looked
    • 11:12at forty thousand women, and
    • 11:13about eight thousand of them
    • 11:15had the supplemental MRI.
    • 11:17And what they saw that
    • 11:18the rates of interval cancer
    • 11:21was about half in women
    • 11:23who had MRI compared to
    • 11:25mammogram only.
    • 11:26So it was two point
    • 11:27five per thousand compared to
    • 11:29five.
    • 11:30And,
    • 11:31basically, this was great news.
    • 11:33I should also make a
    • 11:35note that these are average
    • 11:36risk patients, not high risk
    • 11:38patients.
    • 11:39And the women who had
    • 11:40the MRI, they had about
    • 11:42over sixteen
    • 11:44per thousand
    • 11:46rate of cancer detection, which
    • 11:48is great. Again, mammography
    • 11:50alone finds if you have
    • 11:51tomosynthesis,
    • 11:53on average, four or five
    • 11:54cancers per thousand.
    • 11:57Another trial called BRAID breast
    • 12:00Screening Risk Adaptive Imaging for
    • 12:02Density
    • 12:03wanted to see, in addition
    • 12:05to mammography,
    • 12:06other supplemental
    • 12:07screening imaging,
    • 12:10tools
    • 12:11effect.
    • 12:12For example,
    • 12:13ultrasound, contrast enhanced mammography,
    • 12:16and MRI
    • 12:17in detection of breast cancer.
    • 12:19They had about nine thousand
    • 12:21patients. Six thousand completed those
    • 12:24extra
    • 12:25modalities.
    • 12:27And,
    • 12:27the cancer detection rates were
    • 12:29really great,
    • 12:31for
    • 12:32and more abbreviated MRI is
    • 12:34just the shorter version shorter
    • 12:36time version of contrast enhanced
    • 12:38MRI.
    • 12:39And in that population, they
    • 12:41had about seventeen per thousand,
    • 12:43detected cancers.
    • 12:45Contrast enhanced mammography
    • 12:47was even higher, nineteen ish,
    • 12:49and,
    • 12:50ultrasound was only about four
    • 12:52point two per thousand.
    • 12:54You can see
    • 12:55that. And in that population,
    • 12:57the, cancer detection rate was
    • 13:00eight point four per thousand.
    • 13:01So you can actually look
    • 13:02at the numbers and appreciate
    • 13:04that ultrasound was just slightly
    • 13:06better, but MRI and contrast
    • 13:08enhanced mammogram more than doubled
    • 13:10it.
    • 13:12Tumor size was also much
    • 13:14smaller. On the average, it
    • 13:15was about a centimeter in
    • 13:17women who had the MRI
    • 13:19and contrast enhanced mammogram.
    • 13:21And,
    • 13:22ultrasound detected tumors were slightly
    • 13:24larger, about double the size,
    • 13:26twenty two millimeters.
    • 13:27These are averages.
    • 13:29So you can see that
    • 13:30earlier detection
    • 13:32is,
    • 13:33key
    • 13:34with
    • 13:35contrast enhanced modalities.
    • 13:38Now just to say a
    • 13:39little bit about contrast enhanced
    • 13:40mammography,
    • 13:42the premise is that tiny
    • 13:44little tumors, anything more than
    • 13:46two millimeter, will demonstrate
    • 13:48angiogenesis,
    • 13:49and that means that they're
    • 13:51gonna grow new blood vessels.
    • 13:53These blood vessels are leaky.
    • 13:55And when we inject a
    • 13:56contrast material through an intravenous,
    • 14:00access,
    • 14:01they go to the breast,
    • 14:02and they accumulate
    • 14:04in these tumors.
    • 14:06We can detect them with
    • 14:07two two ways. One is
    • 14:09contrast enhanced mammography, and one
    • 14:11is MR.
    • 14:13A lot of people, patients,
    • 14:15physicians know about, MRI. I
    • 14:17won't go into into detail
    • 14:18about that. But contrast enhanced
    • 14:20mammogram is essentially a mammogram
    • 14:23that is obtained before and
    • 14:24after administration of contrast, and
    • 14:26this is an example
    • 14:28of that.
    • 14:30When patients undergo contrast
    • 14:32enhanced mammography, they get a
    • 14:33normal mammogram, which is,
    • 14:36this image here, and this
    • 14:38is another view of the
    • 14:39same. It's labeled left CC
    • 14:40and left MLL.
    • 14:42And then
    • 14:43another image,
    • 14:45mammogram image is obtained. Those
    • 14:47images are subtracted,
    • 14:49and what remains
    • 14:50is anything that picks up
    • 14:52the dye. So in these
    • 14:54two images, you can see
    • 14:55that there's a tiny little
    • 14:57mass that shows up in
    • 14:58the left breast,
    • 15:00and it's completely obscured. You
    • 15:02don't see anything like that
    • 15:04because this is an extremely
    • 15:05dense mammogram.
    • 15:07And,
    • 15:09so contrast enhanced mammography
    • 15:11is a mammogram that is
    • 15:13really not affected by breast
    • 15:14density.
    • 15:18So
    • 15:19let me just oops.
    • 15:21I lost my
    • 15:24chair.
    • 15:33Alright.
    • 15:34What we don't have answer,
    • 15:35there are several questions with,
    • 15:38in general and what these
    • 15:40trials that I mentioned have
    • 15:41not answered.
    • 15:43We know that mammography
    • 15:44saves lives by lowering by
    • 15:47decreasing mortality from breast cancer.
    • 15:50We don't know that about
    • 15:51MRI or contrast enhanced mammography.
    • 15:54So,
    • 15:56there's a lot of research
    • 15:57being done about that. Hopefully,
    • 15:59we'll have that answer at
    • 16:00some point. We also don't
    • 16:01know how feasible it is
    • 16:03to have these,
    • 16:05other supplemental
    • 16:06tests,
    • 16:08in terms of logistics,
    • 16:10cost, capacity
    • 16:12for women who are not
    • 16:14at high risk.
    • 16:15As you know, demand for
    • 16:17imaging is very high. We
    • 16:19have very low, MRI capacities,
    • 16:21and contrast enhanced mammography
    • 16:23is not available at every
    • 16:25institution.
    • 16:27At Yale, we are
    • 16:31increasing our MRI capacity at
    • 16:33different sites.
    • 16:35However, we are sharing with
    • 16:36other body parts. You know,
    • 16:38everybody wants to have an
    • 16:39MR. It's a highly utilized,
    • 16:42test.
    • 16:43And we don't have enough
    • 16:44slots to do diagnostic MRs,
    • 16:46to do high risk screening,
    • 16:47and also average screening of
    • 16:49the women who have dense
    • 16:51breasts.
    • 16:52We will be starting a
    • 16:53contrast enhanced mammography program in
    • 16:56the next six months or
    • 16:57so. We'll be doing it
    • 16:58on both, two campuses at,
    • 17:01Smilo
    • 17:02and at our North Haven
    • 17:04campus. And, that'll be great.
    • 17:06It'll be,
    • 17:08very, very exciting for us
    • 17:10to start that program
    • 17:12and offer women,
    • 17:14additional supplemental screening.
    • 17:21Alright.
    • 17:26Alright. Very nice.
    • 17:28Doctor Battaglia?
    • 17:31I'll pull up my slides.
    • 17:32Good evening, everyone. I see
    • 17:34there's a couple of questions
    • 17:35in the chat, John. I
    • 17:35don't know if you wanna
    • 17:36take one or two while
    • 17:37I'm
    • 17:39If you would like, we
    • 17:40definitely will have time at
    • 17:41the very end for everybody's
    • 17:43question. Well, pretty much. So
    • 17:45one of our attendees
    • 17:46asked, doctor Lottie,
    • 17:48about invasive lobular cancer.
    • 17:51How would that show up
    • 17:52on a contrast enhanced mammogram?
    • 17:54So similar to MRI,
    • 17:56it will show up,
    • 17:58because lobular cancer
    • 18:01also has, neovascularity.
    • 18:05As you know, lobular cancer
    • 18:07is not a very common
    • 18:08cancer. It's about ten percent
    • 18:09of our cancers. And, occasionally,
    • 18:12it may not enhance. It
    • 18:14may not take up the
    • 18:15dive similar to MRI.
    • 18:17And that's why
    • 18:21screening mammography, the two the
    • 18:22actual mammogram portion of it
    • 18:23is super helpful. We read
    • 18:23those
    • 18:35based on a
    • 18:37previous biopsy or diagnosis
    • 18:39or whatever,
    • 18:41we can either do contrast
    • 18:43enhanced mammography
    • 18:44or MRI for extent of
    • 18:46disease and,
    • 18:48other diagnostic workup.
    • 18:51Alright. Very good. Let's move
    • 18:53on to the next talk,
    • 18:54and I will promise we'll
    • 18:56get to everybody's questions at
    • 18:57the end. Okay. Great. Thank
    • 18:59you so much. Good evening,
    • 19:01everyone. It's great to be
    • 19:01here with you all to
    • 19:02kick off breast cancer awareness
    • 19:04month. I see,
    • 19:05only one of
    • 19:06our panelists has pink on
    • 19:08today. So, Melinda, you you
    • 19:10have it on. You have
    • 19:11it on. So I'm here
    • 19:12to, take you, through an
    • 19:14overview of high risk breast
    • 19:16health care. I'm gonna talk
    • 19:18a little bit about risk
    • 19:19assessments,
    • 19:20risk assessment that was alluded
    • 19:22to in the
    • 19:23the first presentation on breast
    • 19:25imaging
    • 19:26and, our approach to risk
    • 19:28reduction strategies for those who
    • 19:29do have high risk.
    • 19:31My background is I'm a
    • 19:33general internist, women's health provider,
    • 19:35and preventive medicine,
    • 19:36physician. And so I'm a
    • 19:38practicing clinician in our high
    • 19:40risk breast practice.
    • 19:45So, you know, what we've,
    • 19:47historically
    • 19:48approached breast cancer screening is
    • 19:50using age based screening.
    • 19:54And so
    • 19:56many of us are familiar
    • 19:57with recommendations for screening based
    • 19:59on age alone.
    • 20:00And we know now that
    • 20:02age based screening really ignores
    • 20:04the range, the very sort
    • 20:05of broad range of risk
    • 20:07factors that,
    • 20:09influence our individual risks for
    • 20:11future cancer.
    • 20:12And as we sort of
    • 20:14have advances
    • 20:15in cancer diagnosis
    • 20:17and treatment,
    • 20:18we are,
    • 20:20increasingly providing personalized care to
    • 20:22patients based on their individual
    • 20:24presentation. And so the age
    • 20:26based sort of screening ignores
    • 20:28sort of where we are
    • 20:29in our understanding of cancer.
    • 20:33Twenty twenty two was the
    • 20:35first year that one of
    • 20:36the,
    • 20:37professional organizations called the National
    • 20:39Comprehensive Cancer,
    • 20:42Cancer Center recommendation
    • 20:44made the recommendations for the
    • 20:45first time
    • 20:46for individual risk assessment by
    • 20:48age twenty five, and then
    • 20:50the American College of Radiology,
    • 20:51as we heard, followed suit,
    • 20:53I think, the following year
    • 20:54in twenty twenty three.
    • 20:56So high risk guidelines
    • 20:58now exist from several professional
    • 21:01organizations,
    • 21:02and they promote the use
    • 21:03of risk prediction models to
    • 21:05estimate an individual's
    • 21:06patient's risk. So we're gonna
    • 21:08talk a little bit about
    • 21:09that.
    • 21:10When we think about
    • 21:12high risk breast health care
    • 21:14in general, I think about
    • 21:15sort of four general areas.
    • 21:17The first is
    • 21:19identifying whether or not a
    • 21:21patient is at high risk.
    • 21:25High risk
    • 21:26assessment
    • 21:27can be made through the
    • 21:28identification of pathogenic variants through
    • 21:31genetic testing. So, we need
    • 21:32to,
    • 21:33in the process of identifying
    • 21:35risk, ask ourselves if patients
    • 21:38are eligible
    • 21:39for genetic testing based on
    • 21:41a threshold of potential risk
    • 21:44based on family history.
    • 21:47We also utilize, in the
    • 21:49absence of a pathogenic variant,
    • 21:51these risk prediction models, which
    • 21:53really give a calculated estimate
    • 21:55based on a comprehensive
    • 21:57list of risk factors for
    • 21:58an individual patient.
    • 22:00But there's many nuances to
    • 22:02this model, so I'm gonna
    • 22:03introduce you to a few
    • 22:04of them.
    • 22:05And then based on this
    • 22:06information, we can provide risk
    • 22:08reduction strategies to a patient
    • 22:10based on what thresholds that
    • 22:12they have in their personal
    • 22:14risk.
    • 22:16So we already heard in
    • 22:17the previous presentation
    • 22:19the definition of what is
    • 22:20considered high risk.
    • 22:22So a lifetime breast cancer
    • 22:24risk greater than twenty percent
    • 22:25is considered to be in
    • 22:27the high risk range. So
    • 22:29we're gonna hear more about
    • 22:30that.
    • 22:32So how do we determine
    • 22:34who is at high risk?
    • 22:36In order to do that,
    • 22:37we need to take a
    • 22:38comprehensive
    • 22:39review of an individual patient's
    • 22:41risk factors,
    • 22:43including
    • 22:44inherited gene mutations. And so
    • 22:46we're gonna walk through that
    • 22:47in a moment.
    • 22:48But I just wanna point
    • 22:49out that while we place
    • 22:52a large emphasis
    • 22:53around genetic pathogenic variants or
    • 22:56carrying the gene that puts
    • 22:57you at risk for breast
    • 22:58cancer,
    • 23:00these pathogenic
    • 23:01variants
    • 23:03are responsible for a very
    • 23:05small percentage of breast cancer
    • 23:07cases. So the estimates are
    • 23:08somewhere between five and ten
    • 23:10percent
    • 23:11of these harmful variants. And
    • 23:13many of us are familiar
    • 23:15with
    • 23:16the high risk penetrance genes
    • 23:18of the BRCA1 and the
    • 23:19BRCA2 mutations,
    • 23:21but the field of genetics
    • 23:23is rapidly expanding and evolving
    • 23:25and we now know about
    • 23:26many other pathologic variants. And
    • 23:29so
    • 23:30when we, pursue genetic testing,
    • 23:32we often do a sort
    • 23:33of expanded panel looking at
    • 23:36a number of different variants.
    • 23:38The high risk penetrance genes
    • 23:40listed here,
    • 23:42confer a risk of,
    • 23:44a high risk a risk
    • 23:45of lifetime risk as high
    • 23:47as sixty to eighty percent.
    • 23:50Whereas these moderate risk penetrance
    • 23:52genes listed on this slide
    • 23:54confer risk more in the
    • 23:55twenty to thirty percent range.
    • 23:57So it helps us sort
    • 23:58of categorize a patient's future
    • 24:00risk.
    • 24:03So as a clinician, one
    • 24:04of the first things we
    • 24:05do when we're caring for
    • 24:07patients, whether this is in
    • 24:08primary care or in a
    • 24:10specialty practice, is we ask
    • 24:12ourselves, is my patient eligible
    • 24:14for genetic testing?
    • 24:16And because this field is
    • 24:17so rapidly evolving and
    • 24:20the professional guidelines
    • 24:22change rapidly
    • 24:24in response to what we
    • 24:25understand about genetics,
    • 24:27we have tools in our
    • 24:29electronic health record that support
    • 24:30our providers in making decisions
    • 24:33about who might be eligible.
    • 24:35And I share this because,
    • 24:38I think it's important to
    • 24:40know,
    • 24:41as a patient that this
    • 24:42is a really complex field
    • 24:44that not all providers are,
    • 24:48skilled at, and there are
    • 24:49tools like this that support
    • 24:50our providers. And you can
    • 24:51see here that we have
    • 24:53tools that have a have
    • 24:55a a tab for each
    • 24:56disease because the indications for
    • 24:58testing
    • 25:00differ based on the cancer
    • 25:01disease.
    • 25:02So, from a breast cancer
    • 25:04perspective, if you have a
    • 25:06known mutation, there's no need
    • 25:07to refer you to a
    • 25:09genetic,
    • 25:10counseling or testing.
    • 25:13But if you've had genetic
    • 25:14testing, for example, greater than
    • 25:16ten years ago, you may
    • 25:17benefit from repeat testing because
    • 25:20of the advances in the
    • 25:21extended panels.
    • 25:24So, this slide,
    • 25:25lists for you,
    • 25:28the professional
    • 25:29organization
    • 25:30recommendations
    • 25:31around who should be tested
    • 25:33or considered for testing for
    • 25:34a pathogenic variant.
    • 25:36And so I draw your
    • 25:37attention to,
    • 25:39the underlying text that says
    • 25:40personal history and of breast
    • 25:42cancer and.
    • 25:44So if you have a
    • 25:46diagnosis of breast cancer and
    • 25:48meet any of the criteria
    • 25:49on this list, you should
    • 25:50receive genetic testing, ideally, before
    • 25:53you initiate any treatment to
    • 25:55inform
    • 25:56your treatment decisions.
    • 25:58So,
    • 26:00having breast cancer at a
    • 26:01young age under the age
    • 26:03of fifty is a red
    • 26:04flag for a potential
    • 26:06pathogenic variant. So every woman
    • 26:08under the age of fifty
    • 26:10diagnosed with breast cancer should
    • 26:11get tested.
    • 26:14There are other indications
    • 26:15of genetic,
    • 26:17variants, and that also includes
    • 26:19the type of cancer that
    • 26:20you have. So if you're
    • 26:21diagnosed with a breast cancer
    • 26:23that is what we call
    • 26:24triple negative
    • 26:26or hormone negative,
    • 26:29then that that is also
    • 26:30an indication for testing.
    • 26:32If you have a family
    • 26:33history
    • 26:34of a male breast cancer
    • 26:36in your family, that's an
    • 26:37another indication.
    • 26:40But even patients who have
    • 26:42not been affected by cancer
    • 26:43are eligible for for testing
    • 26:45if any of their family
    • 26:47members who had breast cancer
    • 26:50meet those criteria.
    • 26:53So if a patient meets
    • 26:54those criteria,
    • 26:56their options in our health
    • 26:58system are to go on
    • 27:00and see a genetics counselor
    • 27:03in our Smilogentics,
    • 27:06clinic clinic,
    • 27:08or we have tools now
    • 27:10for our primary care physicians
    • 27:11to do what we call
    • 27:12point of care genetic testing
    • 27:14in their practices,
    • 27:16understanding that while we have,
    • 27:18over
    • 27:20a dozen counselors, we can't
    • 27:22always meet the demand of
    • 27:24all the patients that get
    • 27:25referred to us. So we
    • 27:26have new tools to support
    • 27:27our
    • 27:28primary care providers to do
    • 27:30point of care genetic testing,
    • 27:32which is often a blood
    • 27:33test.
    • 27:35In the absence of a
    • 27:36pathogenic mutation
    • 27:38or if a patient is
    • 27:39not deemed eligible for genetic
    • 27:41testing,
    • 27:43Clinicians rely upon these risk
    • 27:45prediction models, and there are
    • 27:47many of them out there.
    • 27:49This slide
    • 27:51provides a table of the
    • 27:53probably the top five,
    • 27:55most commonly utilized or most
    • 27:57validated and and,
    • 28:01usable,
    • 28:02tools that are out there.
    • 28:05And so when we do
    • 28:06these risk assessment models, they
    • 28:08provide us with two numbers
    • 28:10of of interest that guide
    • 28:11through the professional organizations'
    • 28:15recommendations for risk reduction strategies.
    • 28:17We look at a lifetime
    • 28:18risk and we look at
    • 28:20a five year risk. And
    • 28:22those thresholds,
    • 28:23if you reach a lifetime
    • 28:24risk greater than twenty,
    • 28:26you may be eligible for
    • 28:27supplemental breast cancer screening with
    • 28:29MRI or other modalities as
    • 28:31we just talked about.
    • 28:34If you
    • 28:36reach a risk threshold of
    • 28:38greater than one point six
    • 28:39seven, you may also be
    • 28:41eligible for risk reduction strategies
    • 28:43using medications, what we call
    • 28:45chemoprevention.
    • 28:47There are several drugs that
    • 28:48are available that can
    • 28:51act as,
    • 28:53that can reduce your future
    • 28:55risk of a hormone positive
    • 28:56breast cancer.
    • 28:59So here's a snapshot of
    • 29:01one of the most commonly
    • 29:02used tools that you too
    • 29:04can can go and calculate
    • 29:06on your own.
    • 29:07There is the sort of
    • 29:08website where you can download
    • 29:10this,
    • 29:11this,
    • 29:12risk prediction model,
    • 29:14and this is the kind
    • 29:15of output that you will
    • 29:16get. What I'm trying to
    • 29:18show you on the slide
    • 29:18is several things. One is
    • 29:20the type of information you
    • 29:22need to be able to
    • 29:23answer
    • 29:24the questions to get an
    • 29:25answer
    • 29:27and also showing you the
    • 29:28results
    • 29:29when you change
    • 29:30the race of the patient
    • 29:32from white to black. And
    • 29:34you can see
    • 29:35in the same patient who's
    • 29:37forty two, had their first
    • 29:38menstrual period at ten,
    • 29:40had their first baby at
    • 29:42thirty five years old, had
    • 29:43two prior breast biopsies that
    • 29:45were not cancer,
    • 29:48had no atypia on those
    • 29:49biopsy results,
    • 29:51had one first degree relative,
    • 29:53so that's mother, daughter, or
    • 29:55sister, in this case, one
    • 29:57mom with breast cancer,
    • 30:00and and we calculate that
    • 30:01risk for a black woman.
    • 30:03The results are on the
    • 30:04left of this screen. So
    • 30:06you could see they don't
    • 30:07this particular patient who's black
    • 30:09with those characteristics
    • 30:10does not reach the five
    • 30:11year risk threshold
    • 30:14for chemo prevention
    • 30:15based on this model, nor
    • 30:17do they risk reach the
    • 30:18high risk threshold for a
    • 30:20lifetime risk greater than twenty
    • 30:22for MRI.
    • 30:24But if you change nothing
    • 30:25but the race,
    • 30:27this model actually
    • 30:28suggests that this patient is
    • 30:30eligible for both of those
    • 30:31things.
    • 30:32And some of this reflects
    • 30:34the incidence rates of breast
    • 30:35cancer between races, but it
    • 30:37also demonstrates
    • 30:39how imperfect
    • 30:41the models are that we
    • 30:42have that sometime contribute
    • 30:45to inequities
    • 30:46in our ability to care
    • 30:48for patients. And so I
    • 30:49I I share this
    • 30:51to also give sort of
    • 30:53an abundance of caution that
    • 30:54there are other models that
    • 30:55don't take race into consideration
    • 30:57that may be more appropriate.
    • 31:01So the other model that
    • 31:02is widely used and,
    • 31:05and recommended by many professional
    • 31:06organizations is something called the
    • 31:08Tyra Cusick model.
    • 31:10In parentheses, I have the
    • 31:12word IBIS there because that
    • 31:13in my that is the
    • 31:15way that you can find
    • 31:16it if you Google it
    • 31:17on
    • 31:18if you go and Google
    • 31:19Tyra Cusick, you're gonna get
    • 31:20a bunch of different options
    • 31:22with web based version that
    • 31:24that are really easy to
    • 31:26use because they're pretty
    • 31:28and they seem really easy
    • 31:29to answer.
    • 31:30But those are not validated.
    • 31:32The only validated one is
    • 31:34on this, website that I
    • 31:35list for you here. You
    • 31:36actually have to download the
    • 31:38software, and it's a little
    • 31:39cumbersome to use. And it's
    • 31:41kind of easy to make
    • 31:43mistakes and get the wrong
    • 31:45answer. So,
    • 31:48when I talk about these
    • 31:49risk models, I like to
    • 31:50say it's sort of like
    • 31:51garbage in, garbage out. If
    • 31:53you don't put the right
    • 31:54information in, you're gonna get
    • 31:55an answer that's not really
    • 31:57reflective of your risk.
    • 31:59So in this case, this
    • 32:01model takes into consideration
    • 32:03many more risk factors than
    • 32:05the the breast cancer prevention
    • 32:07tool that I showed you
    • 32:08first.
    • 32:08It takes into account your
    • 32:10height and your weight,
    • 32:12whether you're not you have
    • 32:13an Ashkenazi Jewish ancestral background,
    • 32:16what your breast density is.
    • 32:18We just heard about the
    • 32:19the
    • 32:20how breast density is another
    • 32:22additional risk factor that we
    • 32:23need to take into consideration.
    • 32:26It also takes into account
    • 32:28family members outside your first
    • 32:29degree relatives and family members
    • 32:31with ovarian cancer.
    • 32:33It also allows you to
    • 32:35say whether or not you
    • 32:36or any of your family
    • 32:37members who've been affected have
    • 32:38had
    • 32:39genetic testing.
    • 32:42But you can make mistakes.
    • 32:44If you don't,
    • 32:48use the right age of
    • 32:50die
    • 32:51of the family members when
    • 32:52you enter the information and
    • 32:54asks you for an age,
    • 32:55if you give their current
    • 32:56age
    • 32:57and not the age of
    • 32:58the diagnosis
    • 32:59at the time of their
    • 33:00diagnosis of cancer
    • 33:03or you don't include unaffected
    • 33:05family members,
    • 33:07you can overestimate
    • 33:09risk
    • 33:10or underestimate risk. And so
    • 33:11it's really hard to use
    • 33:13these models if you don't
    • 33:14have experience,
    • 33:16utilizing them.
    • 33:19So I'll share here with
    • 33:20you the results of this
    • 33:21model with that same patient
    • 33:24putting in some,
    • 33:25you know, average sort of,
    • 33:27age of first,
    • 33:29average,
    • 33:30examples of, like, height and
    • 33:31weight.
    • 33:32And this gives this is
    • 33:34a example of what the
    • 33:35printout might look like. And
    • 33:36so you might remember the
    • 33:38last slide, we had a
    • 33:40range of lifetime risk between
    • 33:42sixteen and twenty something percent.
    • 33:44This one suggests the lifetime
    • 33:46risk, if you look up
    • 33:47in that right upper corner,
    • 33:48is twenty six point five
    • 33:50percent.
    • 33:51And the five year risk
    • 33:52on the other was between
    • 33:54one point five and three,
    • 33:56and this five year risk
    • 33:57is two point one. So
    • 33:58it just demonstrates
    • 33:59sort of, you know, how
    • 34:01imprecise these models are even
    • 34:03though they are the best
    • 34:04that we have to give
    • 34:05us guidance.
    • 34:08I wanna make a comment
    • 34:09about polygenic
    • 34:10risk scores, which are risk
    • 34:12scores that you may get
    • 34:14if you get genetic testing
    • 34:15and provide,
    • 34:19if you have genetic testing,
    • 34:20they're looking at multiple
    • 34:22of your genetic variants
    • 34:24to try to estimate a
    • 34:26score for you. And these
    • 34:27often
    • 34:28overestimate
    • 34:29risk and make people really
    • 34:31anxious that they get back
    • 34:32during their genetic testing. If
    • 34:34they have no pathogenic variant
    • 34:36and then they get this,
    • 34:37I think we have to
    • 34:38be really cautious that these
    • 34:41scores actually are overestimate risk
    • 34:44and are not really ready
    • 34:45for prime time.
    • 34:48So I just wanna make
    • 34:49one point about atypia. Atypia
    • 34:52is a finding on breast
    • 34:53biopsy that is another risk
    • 34:56factor for future cancer that
    • 34:57needs to be taken into
    • 34:59consideration.
    • 35:00So if you had a
    • 35:01biopsy, you wanna know whether
    • 35:02or not there was any
    • 35:04atypia present.
    • 35:07This is an additional risk
    • 35:08factor that confers an intermediate
    • 35:10risk.
    • 35:11This is another tool that
    • 35:13we utilize with our providers
    • 35:15to help guide them on
    • 35:16who should go on for
    • 35:17surgery with atypia and or
    • 35:20who might be eligible
    • 35:21for risk reduction strategies.
    • 35:25I wanna highlight that because
    • 35:27this is such a complicated
    • 35:29area, we get referrals from
    • 35:31primary care physicians and OB
    • 35:32GYNs and self referrals from
    • 35:34patients
    • 35:35to support them in helping
    • 35:37them estimate their own risk
    • 35:38and determine their eligibility for
    • 35:40genetic testing. And if you
    • 35:42were to come to see
    • 35:43any of our providers across
    • 35:44our network,
    • 35:45this is the type of
    • 35:46clinical care and counseling that
    • 35:48we would provide.
    • 35:49We don't have time to
    • 35:50go into to these,
    • 35:53all these different strategies, but
    • 35:55we talk about prevention strategies
    • 35:57and early detection strategies. And
    • 35:59based on the individual
    • 36:00risk
    • 36:02and the patient preferences,
    • 36:04we can talk and counsel
    • 36:05about lifestyle and behavior that
    • 36:07we're gonna hear about from
    • 36:08doctor Erwin,
    • 36:09chemoprevention
    • 36:10or medications to reduce your
    • 36:12risk,
    • 36:13risk reduction mastectomy
    • 36:15for those with lifetime risk
    • 36:16greater than forty percent,
    • 36:19and then their early detection
    • 36:20options are not preventing cancer,
    • 36:22but finding it early. And
    • 36:23that includes self exam, clinical
    • 36:26exam, and the breast imaging
    • 36:27that we just heard about
    • 36:28from doctor Laffey.
    • 36:31So I'm gonna stop there
    • 36:32because I know I took
    • 36:33more time than I should
    • 36:34have, and I'm gonna pass
    • 36:35it to my colleague, doctor
    • 36:36Erwin.
    • 36:45Okay.
    • 36:46Thank you.
    • 36:47And I'm gonna try to
    • 36:52get it into the right
    • 36:54mode.
    • 37:03You could maybe answer a
    • 37:04question while I'm doing this.
    • 37:09Did I freeze?
    • 37:15You're good. You're I think
    • 37:17we see the center mode,
    • 37:18though. Are you you're not
    • 37:20full screen yet?
    • 37:23Okay. Good. Switch your screen.
    • 37:24I was scared. I thought
    • 37:25I froze.
    • 37:28I thought I froze, but
    • 37:29I'm good. I'm not frozen.
    • 37:32Alright.
    • 37:33I was thinking maybe we
    • 37:34can answer some of the
    • 37:35questions in the chat while
    • 37:37I'm presenting just in case
    • 37:38we don't get to all
    • 37:39of the, questions.
    • 37:41Good evening, everyone.
    • 37:43My name is Melinda Erwin.
    • 37:44I'm a professor in the
    • 37:45Yale School of Public Health
    • 37:46and deputy director in the
    • 37:48Yale Cancer Center. And I'm,
    • 37:50going to share with you
    • 37:52breast cancer prevention.
    • 37:54And I'm gonna really focus
    • 37:55on beyond individual risk factors
    • 37:57and more how the environment
    • 37:59and systems shape our risk
    • 38:00for breast cancer.
    • 38:03Also, I wanna first start
    • 38:05with acknowledging that breast cancer
    • 38:07mortality rates have decreased by
    • 38:08forty four percent since the
    • 38:10peak in nineteen ninety. And
    • 38:12much of this success in
    • 38:14reduced mortality rates is because
    • 38:16of what, doctor Laffey said
    • 38:18in our early detection and
    • 38:20our our ability to screen
    • 38:22breast cancer, which results in
    • 38:23an earlier stage at diagnosis,
    • 38:26and then also,
    • 38:27amazing
    • 38:28advancements
    • 38:29in treating breast cancer. And
    • 38:31so those together have really
    • 38:32helped,
    • 38:34reduce breast cancer mortality rates.
    • 38:36But what about preventing breast
    • 38:38cancer
    • 38:39outright so that,
    • 38:41we don't have to deal
    • 38:42with treatment?
    • 38:43So I know this is
    • 38:44a busy slide, but it
    • 38:45highlights many of the risk
    • 38:47factors for breast cancer. And
    • 38:49if you look sort of
    • 38:50at the top going to
    • 38:51the
    • 38:52clockwise,
    • 38:54in purple
    • 38:56are, the non modifiable
    • 38:58risk factors.
    • 38:59And,
    • 39:00Doctor Battaglia mentioned,
    • 39:03germline
    • 39:04mutations.
    • 39:05And while those aren't sort
    • 39:07of modifiable, there are ways
    • 39:08that we can,
    • 39:10be aware from them and
    • 39:11change our screening guidelines. And
    • 39:13then the other non modifiable
    • 39:15are female sex, older age,
    • 39:18certain race and ethnic groups
    • 39:19have a higher risk of
    • 39:20breast cancer,
    • 39:22family history,
    • 39:23breast density, previous history of
    • 39:25breast cancer and age at
    • 39:26menarche,
    • 39:27or a first period, and
    • 39:29then age at menopause.
    • 39:31The green factors on sort
    • 39:33of from the six P
    • 39:35at the bottom to the
    • 39:36top of the circle are
    • 39:37what we call modifiable factors.
    • 39:39And these are primarily related
    • 39:41to lifestyle behaviors.
    • 39:44So our body composition
    • 39:46or, whether we're overweight or
    • 39:48obese,
    • 39:49physical activity,
    • 39:50diet and alcohol,
    • 39:52as well as oral contraceptive,
    • 39:54contraceptives and hormone replacement therapy
    • 39:56in the postmenopausal
    • 39:57years. So I'm gonna focus
    • 39:59on those for the remainder
    • 40:01of the talk.
    • 40:04Unfortunately, over the past three
    • 40:06decades, we've seen a significant
    • 40:08increase in the prevalence of
    • 40:10obesity, not only in the
    • 40:12US but globally. In fact,
    • 40:14every country
    • 40:15across the globe has seen
    • 40:17increased rates of obesity.
    • 40:19Obesity is defined as a
    • 40:21body mass index of thirty
    • 40:23or greater and body mass
    • 40:24index is basically our weight
    • 40:26adjusted for height. It's an
    • 40:28imperfect measure because it does
    • 40:30not take into consideration the
    • 40:31amount of muscle you have
    • 40:33versus adiposity. And we know
    • 40:34muscle weighs
    • 40:35more than body fat, but
    • 40:37on a population level, it's
    • 40:39a pretty good indicator.
    • 40:40And what's concerning is seeing
    • 40:42that,
    • 40:43back in the seventies rates
    • 40:44of obesity
    • 40:46were, in women's seventeen percent
    • 40:48and now they're up to
    • 40:49forty two percent.
    • 40:51And during this same time
    • 40:53period over the last thirty
    • 40:54or forty years, we've seen
    • 40:55a significant reduction
    • 40:57in physical activity levels.
    • 40:58And much of this is
    • 41:00because of technological advances. We
    • 41:02can do our work from
    • 41:03home, from a laptop,
    • 41:05even from an iPhone. So
    • 41:06this has created a society
    • 41:08that is very
    • 41:09sedentary.
    • 41:10So it's not so much
    • 41:11about doing exercise,
    • 41:13but are we sitting too
    • 41:14much and how to reduce
    • 41:16our sitting time?
    • 41:17I present these two slides
    • 41:19to make the point that
    • 41:20this is not something that's
    • 41:21happening on an individual
    • 41:23level, but on a societal
    • 41:25and global level.
    • 41:27And therefore, the interventions
    • 41:29needed
    • 41:30to reverse these trends in
    • 41:31obesity and inactivity
    • 41:33have to be at the
    • 41:35environmental,
    • 41:36societal, and policy level.
    • 41:40And so
    • 41:41discussing that, you you may
    • 41:43have heard the term obesogenic
    • 41:44environment, and this is the
    • 41:46fact that we have widespread
    • 41:47availability and marketing of high
    • 41:49calorie and processed foods.
    • 41:51There is recent research showing
    • 41:53that more than fifty percent
    • 41:54of the foods people
    • 41:56consume per day are highly
    • 41:58ultra processed foods.
    • 42:00This is partly because that's
    • 42:01what available everywhere. It's ubiquitous.
    • 42:05It's cheaper and it's easier
    • 42:06and access is everywhere. So
    • 42:08we have limited access to
    • 42:10affordable,
    • 42:11healthy foods. We also have
    • 42:12an urban design that favors
    • 42:14cars over walking and biking
    • 42:16and work environments with long
    • 42:18sedentary or sitting hours. And
    • 42:21then lastly,
    • 42:22in our free time, we're
    • 42:23consumed with social media, which
    • 42:25is leading to more sedentary
    • 42:28behaviors.
    • 42:30So what are the mechanisms
    • 42:32of how, some of these
    • 42:33modifiable
    • 42:34lifestyle factors related to body
    • 42:36weight, physical inactivity,
    • 42:38poor diet, and alcohol might
    • 42:40increase risk for breast cancer.
    • 42:42Well, we know that they're
    • 42:43primarily through estrogen,
    • 42:45inflammation, and metabolic markers such
    • 42:47as insulin.
    • 42:49Delving down a little bit
    • 42:50deeper, we know in our
    • 42:51postmenopausal
    • 42:52years when women stop producing
    • 42:54estrogen via their ovaries,
    • 42:56they continued
    • 42:57to produce it in their,
    • 42:59adipocytes and their body fat.
    • 43:02And this is from the
    • 43:03conversion of androgens
    • 43:04to estrogens via the enzyme
    • 43:07aromatase.
    • 43:08We know that this is
    • 43:09really important because in women
    • 43:11who have estrogen receptor positive
    • 43:14breast cancers,
    • 43:15they're prescribed a standard of
    • 43:16care and aromatase
    • 43:18inhibitor,
    • 43:19which inhibits the conversion of
    • 43:21androgens
    • 43:22to estrogens.
    • 43:23So this is really showing
    • 43:24that estrogen is a primary,
    • 43:27mechanism
    • 43:28that mediates certain
    • 43:29modifiable
    • 43:30and other factors related to
    • 43:32breast cancer.
    • 43:33So research on trying to
    • 43:35reduce estrogen levels systemically,
    • 43:38as well as reducing
    • 43:39inflammation,
    • 43:41and insulin and other metabolic
    • 43:42markers
    • 43:43is really,
    • 43:45important to better understand the
    • 43:46right type of intervention
    • 43:48for certain types of of
    • 43:50people.
    • 43:52You've heard a lot recently
    • 43:54about alcohol and how alcohol
    • 43:56increases breast cancer risk. And
    • 43:58the way this works is
    • 43:59alcohol or ethanol
    • 44:01can, when we drink it,
    • 44:03it's more of a focus
    • 44:04on there's a dose response
    • 44:06effect here. So one drink
    • 44:07might be okay and not
    • 44:09much of a risk, maybe
    • 44:10a a lifetime five percent
    • 44:12higher risk, but it's if
    • 44:14you have two or three
    • 44:15or four in a day.
    • 44:16That's where your risk of
    • 44:18breast cancer really increases.
    • 44:20And that's through,
    • 44:21how alcohol or ethanol is,
    • 44:24converted in the enzyme,
    • 44:26that of ADH that then
    • 44:28leads to,
    • 44:29a chemical that can cause
    • 44:31chromosome rearrangement
    • 44:33and mistakes in our DNA.
    • 44:35So,
    • 44:36prudent, you know, wanna be
    • 44:38modest with our alcohol intake.
    • 44:41So I wanna go back
    • 44:42to talking about the lifestyle,
    • 44:45these factors in the environment.
    • 44:46We know that lifestyle risk
    • 44:48factors are shaped by the
    • 44:49environments we live in and
    • 44:51that our lifestyle choices are
    • 44:52strongly influenced by the environments,
    • 44:54the policies and systems,
    • 44:56and that our environments often
    • 44:58promote unhealthy eating and sedentary
    • 45:00behavior, and that access to
    • 45:02places to exercise affordable, healthy
    • 45:03food and supportive policies are
    • 45:03key to
    • 45:04food and supportive policies are
    • 45:06key to prevention.
    • 45:08And I wanna dig deeper
    • 45:09on the the sort of
    • 45:11reducing
    • 45:11sedentary behavior
    • 45:13and making sure you understand
    • 45:15the importance of this. This
    • 45:17figure here is based on
    • 45:18hundreds
    • 45:20of prospective
    • 45:21cohort studies
    • 45:22that have enrolled individuals, let's
    • 45:24say at around age forty
    • 45:26or thirty or twenty and
    • 45:28followed them to fifty, sixty,
    • 45:30seventy, eighty years of age
    • 45:31one and looked at mortality
    • 45:33as the outcome.
    • 45:34Cancer,
    • 45:35mortality, as well as cardiovascular
    • 45:37mortality.
    • 45:38And what's really important to
    • 45:39recognize in this figure is
    • 45:41this drop that going from
    • 45:43nothing, being very sedentary to
    • 45:45just doing something
    • 45:47is where you see
    • 45:49the most bang for your
    • 45:50buck, the biggest,
    • 45:52reduction
    • 45:53in breast cancer risk or
    • 45:55mortality,
    • 45:56implying that just doing something
    • 45:58is better than nothing. It
    • 46:00doesn't have to be training
    • 46:01for a marathon.
    • 46:03The goal, the recommended amount
    • 46:05is two and a half
    • 46:05hours per week of of
    • 46:07moderate intensity, such as brisk
    • 46:09walking, but it's really important
    • 46:10that the research has shown
    • 46:12that really just doing something
    • 46:13can be beneficial.
    • 46:15This same figure comes up
    • 46:17time and again
    • 46:18in studies looking at walking.
    • 46:21And these are from pedometers
    • 46:22from iPhones. When you look
    • 46:24at how much steps you've
    • 46:25taken or Fitbits
    • 46:26showing once again a similar
    • 46:28curve that going from very
    • 46:29little walking less than a
    • 46:31thousand steps per day, which
    • 46:32is only a half a
    • 46:33mile in all of our
    • 46:35steps per day, not in
    • 46:36kind of going for a
    • 46:38walk, but from when you
    • 46:39wait till you go to
    • 46:40bed at night. So going
    • 46:42from a thousand
    • 46:43and trying to increase it
    • 46:44a thousand steps per day
    • 46:46or more,
    • 46:47has a significant
    • 46:48reduction in risk for
    • 46:50all cause mortality, as well
    • 46:51as breast cancer mortality.
    • 46:54Two thousand steps per day
    • 46:55is equivalent to a mile.
    • 46:57So if you can kinda
    • 46:58think about increasing five hundred
    • 47:00or a thousand steps per
    • 47:01day throughout your day, then
    • 47:03that's gonna really help lower
    • 47:04your risk.
    • 47:06What about the dietary guidelines?
    • 47:08There are a number of
    • 47:09guidelines that are listed on
    • 47:11the left here, but overall,
    • 47:13what's recommended is a,
    • 47:15a plant,
    • 47:17based diet
    • 47:18where,
    • 47:20animal products are are maybe
    • 47:22one third of what we
    • 47:23eat in a a day.
    • 47:25We really wanna focus on
    • 47:26increasing our fruits and vegetables
    • 47:28in our fiber, which is
    • 47:29in our fruits and vegetables.
    • 47:32So we now have a
    • 47:33really good food label, as
    • 47:35you can see on the
    • 47:35right, that tells you how
    • 47:37much grams of fiber you
    • 47:38get in various foods, as
    • 47:40well as how much added
    • 47:41sugar, that's new to the
    • 47:42food labels. And that was
    • 47:43a significant
    • 47:45FDA policy change that came
    • 47:47out just a couple of
    • 47:47years ago, requiring that added
    • 47:50sugars be pulled out on
    • 47:52the full food label, because
    • 47:53it was very confusing to
    • 47:55consumers.
    • 47:56For example, if you're drinking
    • 47:57orange juice and it shows
    • 47:58a lot of sugars,
    • 48:00but, it might be that
    • 48:01that's not added sugars to
    • 48:03the orange juice. So more
    • 48:05important to look at the
    • 48:06amount of added sugars on
    • 48:07the food label than than
    • 48:09the overall sugars.
    • 48:11We wanna, maintain or increase
    • 48:13our protein per day to
    • 48:14about one point two grams
    • 48:15per kilograms.
    • 48:17Generally, most people eat plenty
    • 48:19of protein in their diet,
    • 48:21even though there seems to
    • 48:22be a lot of advertising
    • 48:24out there to get more
    • 48:25protein, but most people eat
    • 48:27plenty of protein.
    • 48:28And in thinking about the
    • 48:29type of protein you get,
    • 48:30having it from fish,
    • 48:32and and maybe poultry and
    • 48:34reducing it from processed meat,
    • 48:37which in turn will also
    • 48:38reduce your amount of sodium
    • 48:39and low saturated
    • 48:41fat.
    • 48:44What about supplements? So the
    • 48:46American Institute for Cancer Research
    • 48:48as well as the American
    • 48:49Cancer Society,
    • 48:51and NCI
    • 48:52do recommend that you do
    • 48:54not rely on supplements for
    • 48:55cancer prevention
    • 48:57and, to reduce your risk
    • 48:59of cancer, to choose a
    • 49:00balanced diet with a variety
    • 49:01of foods.
    • 49:02And those diagnosed with breast
    • 49:04cancer or any cancer, it
    • 49:06is critically important
    • 49:08to share the supplements that
    • 49:09you're taking with your provider
    • 49:11because they could interact with
    • 49:13the treatments you're receiving
    • 49:15and reduce the efficacy of
    • 49:16the treatments.
    • 49:17But guidelines are that you
    • 49:19should not rely on supplements
    • 49:20for cancer prevention. In fact,
    • 49:22it's important to recognize the
    • 49:23word supplement.
    • 49:24If you are low in
    • 49:26that level, it helps to
    • 49:27supplement. But if many people
    • 49:29are already,
    • 49:31getting enough vitamins and minerals
    • 49:33from their diet and having
    • 49:34additional
    • 49:35supplements on top of that
    • 49:36is not any added benefit,
    • 49:38and in fact, it could
    • 49:39be harm.
    • 49:41So I just wanted to
    • 49:42quickly highlight,
    • 49:43where the research some of
    • 49:45the studies that we've done
    • 49:46of,
    • 49:48diet and exercise
    • 49:50and weight management interventions
    • 49:52and the effect on breast
    • 49:54cancer risk and outcomes. This
    • 49:56was a trial we completed
    • 49:58about,
    • 49:58ten years ago now, and
    • 50:00it was in postmenopausal
    • 50:01women without breast cancer.
    • 50:03But it was a forearm
    • 50:05randomized trial of diet alone,
    • 50:07of all the recommendations I
    • 50:08just mentioned,
    • 50:09exercise, which was basically
    • 50:12brisk walking for two hours
    • 50:14per week, and then the
    • 50:15combination of diet and exercise.
    • 50:17And really the takeaway here
    • 50:18is all the negative signs
    • 50:20you see in all of
    • 50:21these markers,
    • 50:23biomarkers related to breast cancer.
    • 50:25So higher levels of these
    • 50:26increase your risk of breast
    • 50:27cancer,
    • 50:28except for SHBG.
    • 50:31And so,
    • 50:32these inter the diet and
    • 50:33exercise interventions, significant reductions in
    • 50:36insulin,
    • 50:38in
    • 50:39CRP, a marker of chronic
    • 50:40inflammation, and in our estrogens.
    • 50:42And then the figure on
    • 50:43the right shows estrogen levels,
    • 50:45which is the most,
    • 50:47common,
    • 50:49estrogen in postmenopausal
    • 50:50women, and you can see,
    • 50:53just the significant reduction in
    • 50:54estrogen levels with diet, exercise,
    • 50:57and the combination
    • 50:58of about ten to fifteen
    • 51:00percent. And this was within
    • 51:02three months of a healthy
    • 51:03eating and exercise program.
    • 51:07We just completed a trial
    • 51:08in women who were receiving
    • 51:10chemotherapy
    • 51:11for breast cancer,
    • 51:12and what we were able
    • 51:13to show in working with
    • 51:14the registered dietitian,
    • 51:16on our team, those who
    • 51:17were randomized to receiving
    • 51:19receiving counseling of healthy eating
    • 51:22and exercise over the year
    • 51:24from their diagnosis through chemotherapy.
    • 51:26And at one year, we,
    • 51:28working with our dietitian, they
    • 51:30were able to increase their
    • 51:31physical activity levels
    • 51:32and the,
    • 51:34the diet quality, the quality
    • 51:35of the foods they were
    • 51:36eating during chemotherapy.
    • 51:39And what is,
    • 51:40quite remarkable is that this
    • 51:42intervention
    • 51:43led to a fifty three
    • 51:45percent,
    • 51:46pathologic complete response rate compared
    • 51:49to twenty eight percent in
    • 51:50the usual care group. Both
    • 51:52groups were receiving chemotherapy, but
    • 51:54those that had were randomized
    • 51:56to the,
    • 51:57exercise and nutrition intervention
    • 52:00had less breast cancer
    • 52:02at surgery. So this was
    • 52:03a group of women receiving
    • 52:05new adjuvant
    • 52:06chemotherapy
    • 52:07and then had surgery. And
    • 52:09at the time of surgery,
    • 52:10those in the intervention group,
    • 52:11there was less evidence of
    • 52:13breast cancer.
    • 52:15What is the mechanism of
    • 52:17that? Well, in this trial
    • 52:19also, with women with breast
    • 52:21cancer,
    • 52:22we showed that really that
    • 52:24this intervention led to favorable
    • 52:25changes in body composition, but
    • 52:27also
    • 52:28reduction in c reactive protein,
    • 52:30which is inflammation,
    • 52:32insulin, and leptin.
    • 52:35So I just wanna, touch
    • 52:36upon anti obesity medications because,
    • 52:40I know that this is,
    • 52:42a lot of patients and
    • 52:43people, people with and without
    • 52:45cancer are very interested in
    • 52:47the role of these medications,
    • 52:48which are remarkable,
    • 52:51really profound in the amount
    • 52:52of weight loss and adiposity,
    • 52:55loss that occurs with these
    • 52:57medications, which are,
    • 52:59now sort of called GLP
    • 53:01one,
    • 53:02glucagon like protein one receptor
    • 53:04agonists.
    • 53:06There's really limited research
    • 53:09on these anti BC medications
    • 53:11and breast cancer risk or
    • 53:12outcomes among those with breast
    • 53:14cancer.
    • 53:15It is being conducted now.
    • 53:16It's evolving. So in one
    • 53:18year and in two, three
    • 53:20years, there'll be more research
    • 53:21out there. But right now
    • 53:22there's very limited
    • 53:24information about these medications in
    • 53:26regards to breast cancer.
    • 53:28We do know that the,
    • 53:30the mechanism is they cause
    • 53:31significant weight loss up to
    • 53:33about twenty, twenty five percent
    • 53:35loss,
    • 53:36and metabolic changes such as
    • 53:38the ones I just mentioned,
    • 53:39all these metabolic
    • 53:40markers.
    • 53:43Most of the studies that
    • 53:44are done are observational,
    • 53:47looking at outcomes except for
    • 53:48the trials of testing the
    • 53:49medication on weight loss. But
    • 53:51in regards to cancer, they're
    • 53:53observational and so there isn't
    • 53:54a cause and effect,
    • 53:57relationship yet established.
    • 53:59Most important, if you are
    • 54:01considering
    • 54:02one of these medications,
    • 54:04discuss it with your provider,
    • 54:06especially if you've been diagnosed
    • 54:08with cancer.
    • 54:12I always get this question.
    • 54:13I think it's really important.
    • 54:15Many people follow the diet
    • 54:17and physical activity guidelines, and
    • 54:18they can still develop breast
    • 54:20cancer, and it's very frustrating.
    • 54:22So it's important to note
    • 54:23that a healthy lifestyle lowers
    • 54:25risk but does not eliminate
    • 54:27it.
    • 54:28Whether you like this analogy
    • 54:29or not, I think it's
    • 54:30simple and can be,
    • 54:32helpful.
    • 54:33It's like wearing a seat
    • 54:34belt, which, lowers your chance
    • 54:36of severe injury in a
    • 54:38car crash, but it does
    • 54:39not guarantee
    • 54:40safety, but it lowers your
    • 54:42risk.
    • 54:43Much like
    • 54:44screening and,
    • 54:45leads to earlier detection and
    • 54:47practicing,
    • 54:49you know, changing some of
    • 54:50the modifiable risk factors, it
    • 54:52lowers your risk.
    • 54:54But most importantly, breast cancer
    • 54:56is influenced by a mix
    • 54:57of factors that are genetic,
    • 54:59reproductive
    • 55:00history, hormones, environment,
    • 55:02and chance.
    • 55:03And that for women already
    • 55:05diagnosed,
    • 55:06these modifiable factors might also
    • 55:09improve treatment tolerance, reduce recurrence
    • 55:11risk, and improve outcomes. So
    • 55:13even if you've been practicing
    • 55:14these healthy behaviors and you're
    • 55:15still diagnosed with breast cancer,
    • 55:18maintaining
    • 55:19a healthy diet and exercise
    • 55:21can help with your prognosis.
    • 55:25Okay. I think my last
    • 55:26slide here, I just wanna
    • 55:28touch upon postmenopausal
    • 55:29hormone replacement therapy because there's
    • 55:31been a lot
    • 55:33of information on this, especially
    • 55:35on social media, and it
    • 55:37can get very confusing
    • 55:39to individuals.
    • 55:41HRT, as you might know,
    • 55:42replaces estrogen and progesterone hormones
    • 55:45that decline during menopause.
    • 55:47And HRT
    • 55:49reduces menopausal symptoms and also
    • 55:51protects against osteoporosis.
    • 55:54Breast cancer risk increases with
    • 55:56longer use of HRT.
    • 55:59Recent
    • 56:00research that came out in
    • 56:01the last couple years showed
    • 56:02that the risk was less
    • 56:04in women from age fifty
    • 56:06to fifty nine than in
    • 56:07women sixty or older. So
    • 56:09many women might take HRT
    • 56:11in their 50s and then
    • 56:12stop it when the menopausal
    • 56:14symptoms subside.
    • 56:15And research recently has shown
    • 56:17that that's a lower risk.
    • 56:20It's also really important to
    • 56:21note that hormone therapy, which
    • 56:23is also called endocrine therapy
    • 56:25for breast cancer,
    • 56:26should not be confused with
    • 56:28HRT.
    • 56:29HRT and endocrine therapy produce
    • 56:31opposite effects.
    • 56:33Endocrine therapy for breast cancer
    • 56:35is a medication to lower
    • 56:36hormone levels
    • 56:37systemically like aromatase inhibitors
    • 56:40or block the action of
    • 56:41the hormone at the receptor,
    • 56:43such as tamoxifen,
    • 56:45which in turn lowers risk
    • 56:46of breast cancer recurrence
    • 56:48and also can be used
    • 56:49in women at high risk
    • 56:51for for breast cancer.
    • 56:54Most important is to discuss
    • 56:56the potential benefits and risk
    • 56:57of HRT with a health
    • 56:59care provider before starting treatment.
    • 57:02So in closing, I just
    • 57:04want to,
    • 57:06kinda remind again that thirty
    • 57:07percent of breast cancers could
    • 57:08be prevented through lifestyle changes,
    • 57:11yet lifestyle is driven by
    • 57:12the world around us, the
    • 57:14food industry, urban design, and
    • 57:16social norms.
    • 57:17We know that changing habits,
    • 57:19especially in a world full
    • 57:21of stress, limited access to
    • 57:23healthy foods and environments that
    • 57:24don't encourage physical activity is
    • 57:26not easy.
    • 57:27So, you know, hoping that
    • 57:29there'll be policies and systems
    • 57:30changes
    • 57:31that can make the healthy
    • 57:33choice
    • 57:33the easy choice.
    • 57:36And important to note that
    • 57:38progress is uneven across populations
    • 57:41and that access to care,
    • 57:43socioeconomic status and environmental exposures
    • 57:46contribute to disparities. And unfortunately,
    • 57:48there are disparities in breast
    • 57:50cancer incidence and mortality.
    • 57:52And so lastly, every step
    • 57:54we take toward healthier habits
    • 57:55matters,
    • 57:56Small changes add up such
    • 57:58as just focusing on reducing
    • 58:00sedentary behavior, and that combined
    • 58:02with community level efforts
    • 58:04will reduce breast cancer risk
    • 58:06and improve overall health.
    • 58:09So with that, I will
    • 58:10stop sharing.
    • 58:16That is great.
    • 58:17Thank you, doctor Arun.
    • 58:19We do have a few
    • 58:20questions
    • 58:21that have been submitted and
    • 58:25couple of the two that,
    • 58:26we've answered a few of
    • 58:27them directly, but, couple that
    • 58:30are out there radiology questions.
    • 58:32So doctor Latvie can take
    • 58:34the first one and maybe
    • 58:35I'll take the second one.
    • 58:37So a questioner asks and
    • 58:38she's a breast cancer survivor
    • 58:40more than two decades ago.
    • 58:42And she says, yes. If
    • 58:43mammogram and ultrasound are done
    • 58:45and compared to past results
    • 58:47and found to be a
    • 58:47change, what is the next
    • 58:49step? So if there's a
    • 58:50change on your mammogram and
    • 58:51your ultrasound, what do you
    • 58:52do next?
    • 58:56And you're muted, Brisa.
    • 58:59There we go. Sorry about
    • 59:00that. If a patient
    • 59:02is found to have a
    • 59:04mammographic or sonographic abnormality without
    • 59:06any other symptoms, that is
    • 59:08called a callback from screening.
    • 59:11Generally, women are asked to
    • 59:12return for additional specific dedicated
    • 59:15diagnostic imaging,
    • 59:17which means additional mammographic views,
    • 59:20targeted ultrasound
    • 59:22with, generally presence of the
    • 59:24radiologist
    • 59:25who can assess.
    • 59:26And,
    • 59:27then the radiologist
    • 59:29can,
    • 59:30determine
    • 59:31if there is a need
    • 59:32to perform a neal biopsy,
    • 59:34follow-up, or do nothing.
    • 59:39Yep. So that yeah. So
    • 59:41that's a great answer. I
    • 59:42hope that answers your question.
    • 59:44You'll get called back, and
    • 59:45we'll do additional workup with
    • 59:46other images. So the other
    • 59:47radiology question is what is
    • 59:50molecular breast imaging?
    • 59:52And so, molecular breast imaging
    • 59:55is a nuclear medicine study.
    • 59:57So there's a radioactive
    • 59:59substance called technetium
    • 01:00:01and
    • 01:00:02and it's and a form
    • 01:00:04of it is used very
    • 01:00:05commonly in different medical tests,
    • 01:00:07especially a test of the
    • 01:00:08heart. And what they found
    • 01:00:10when they were testing people's
    • 01:00:11hearts is that breast cancers
    • 01:00:13would light up
    • 01:00:14in this test. So the
    • 01:00:16the substance that they were
    • 01:00:17giving
    • 01:00:18to look at the heart
    • 01:00:19would go to breast cancers.
    • 01:00:20So they realized they could
    • 01:00:21turn this into an imaging
    • 01:00:22test, and it's a it's
    • 01:00:24an imaging test that has
    • 01:00:25good sensitivity.
    • 01:00:27It finds cancers at a
    • 01:00:28similar level
    • 01:00:30to MRI and contrast mammography.
    • 01:00:32It hasn't been studied as
    • 01:00:33much. It has some downsides,
    • 01:00:35though, as opposed to a
    • 01:00:36contrast mammogram, which takes about
    • 01:00:38five minutes or an MRI
    • 01:00:39which takes about
    • 01:00:41ten to twenty minutes,
    • 01:00:42every image
    • 01:00:44on molecular breast imaging is
    • 01:00:45about fifteen minutes, five zero.
    • 01:00:47It has gone down with,
    • 01:00:50better equipment,
    • 01:00:51but it's a longer scan,
    • 01:00:53and it doesn't quite give
    • 01:00:55the anatomy.
    • 01:00:56It doesn't give it doesn't
    • 01:00:57show us the anatomy
    • 01:00:59like MRI or contrast mammography
    • 01:01:01does. So it hasn't,
    • 01:01:03been as widely accepted.
    • 01:01:05But, it's a test. Basically,
    • 01:01:07you get injected with a
    • 01:01:08radioactive substance, and then you
    • 01:01:09get damaged.
    • 01:01:13So we
    • 01:01:15are,
    • 01:01:18there's no more questions on
    • 01:01:19the chat. We can
    • 01:01:21stay for
    • 01:01:23another five minutes or
    • 01:01:25if one of our panelists
    • 01:01:26would like to
    • 01:01:28add something, I'd be happy
    • 01:01:30to listen or I can
    • 01:01:31ask questions.
    • 01:01:37Actually, one of our listeners
    • 01:01:38had a question about
    • 01:01:40the risk models.
    • 01:01:42And,
    • 01:01:42so, Tracy,
    • 01:01:44yes.
    • 01:01:45So,
    • 01:01:46and don't forget to unmute.
    • 01:01:49You mentioned two websites,
    • 01:01:51one of which,
    • 01:01:55you know, that one of
    • 01:01:56which is web based, and
    • 01:01:56the other one you had
    • 01:01:57to download software. Can anybody
    • 01:01:59download that software, or do
    • 01:02:00you have to get permission?
    • 01:02:01It's free.
    • 01:02:03It's free. It's just the
    • 01:02:04interface is not very intuitive.
    • 01:02:06It's kinda complicated.
    • 01:02:08It's not clear
    • 01:02:09exactly what they're asking.
    • 01:02:11So I I think it's
    • 01:02:12easy to make mistakes using
    • 01:02:14that model.
    • 01:02:16There are
    • 01:02:17other,
    • 01:02:18versions of it on the
    • 01:02:19web that are, like, pretty
    • 01:02:21interface and clear questions,
    • 01:02:23but I don't think that
    • 01:02:24they're validated, and so I
    • 01:02:26wouldn't necessarily
    • 01:02:27encourage using them. So, I
    • 01:02:29mean, I think you could
    • 01:02:30go ahead and assess assess
    • 01:02:31your own risk and print
    • 01:02:32out your results and bring
    • 01:02:33it to your provider.
    • 01:02:35Anytime I see a patient
    • 01:02:37and they bring me a
    • 01:02:37risk model
    • 01:02:39result
    • 01:02:40without the information of what
    • 01:02:41went into it, I just
    • 01:02:43repeat it because I don't
    • 01:02:44know what went into that
    • 01:02:45calculation to give the result.
    • 01:02:49So I I think the
    • 01:02:50the message I would give
    • 01:02:51is
    • 01:02:53these are not easy to
    • 01:02:54interpret
    • 01:02:55and don't panic. If you
    • 01:02:56get a very high
    • 01:02:58risk, you should review it
    • 01:02:59with a a a provider
    • 01:03:01who has experience using the
    • 01:03:02models.
    • 01:03:04Yeah. So someone who's used
    • 01:03:06the models, I would definitely
    • 01:03:07concur. There are little things
    • 01:03:08that can make a big
    • 01:03:09difference.
    • 01:03:11Height and weight are one.
    • 01:03:12You have to put those
    • 01:03:13in to be accurate.
    • 01:03:15And if you're so if
    • 01:03:16you're tall, it increases your
    • 01:03:17risk of breast cancer, which
    • 01:03:19is not intuitive, but it's
    • 01:03:20in the model. One thing
    • 01:03:21that seems to drive it
    • 01:03:22for
    • 01:03:23a lot of our patients
    • 01:03:24is having a first child
    • 01:03:26after thirty, which has become
    • 01:03:27extremely common.
    • 01:03:29And so, yeah, then would
    • 01:03:31you like to comment on
    • 01:03:31that, doctor Taglia?
    • 01:03:34Yeah. I mean, I think,
    • 01:03:36you know, we take a
    • 01:03:36lot of,
    • 01:03:39of the reproductive
    • 01:03:42history into account for,
    • 01:03:45breast cancer risk. And the
    • 01:03:46way that I like to
    • 01:03:47think about it is it's
    • 01:03:48really just to sort of,
    • 01:03:50the
    • 01:03:51the amount of time an
    • 01:03:52individual
    • 01:03:53has
    • 01:03:55exposure to estrogen unopposed.
    • 01:03:58And so when you have
    • 01:04:00your period very early
    • 01:04:02and you don't go through
    • 01:04:03menopause until very late
    • 01:04:06and you don't have a
    • 01:04:07child
    • 01:04:08at all or have a
    • 01:04:09child at an older age,
    • 01:04:11you're not opposing any of
    • 01:04:13the natural hormones of sort
    • 01:04:15of your normal cycles
    • 01:04:17that interfere sort of that
    • 01:04:18may sort of be,
    • 01:04:20contributing to breast cancer risk.
    • 01:04:23So having children younger for
    • 01:04:24whatever
    • 01:04:26reason, having any children is
    • 01:04:28protective. Having children at a
    • 01:04:30younger age probably has something
    • 01:04:31to do with the breast
    • 01:04:33development
    • 01:04:33and the opposition of the
    • 01:04:35hormones.
    • 01:04:38Great. And,
    • 01:04:44that's I've yeah. I have
    • 01:04:46no other questions to ask.
    • 01:04:51Oh, and doctor Laffey is
    • 01:04:52typing an answer,
    • 01:04:54looks like, to one last
    • 01:04:55question.
    • 01:04:56Anything else anybody would like
    • 01:04:58to add? Oh, I see.
    • 01:04:59If any if anyone's still
    • 01:05:00on,
    • 01:05:01and does have questions, feel
    • 01:05:03free to email me directly
    • 01:05:04at melinda dot erwin at
    • 01:05:05yale dot edu. I'm happy
    • 01:05:07to answer questions later on
    • 01:05:09as well.
    • 01:05:10And I I have one
    • 01:05:11question, doctor Erwin.
    • 01:05:15So exercise we know
    • 01:05:17and
    • 01:05:19being thinner reduces your risk
    • 01:05:20of postmenopausal breast cancer. Does
    • 01:05:22the same thing apply to
    • 01:05:23premenopausal
    • 01:05:24breast cancer?
    • 01:05:26So for exercise, yes. It
    • 01:05:28lowers your risk from you
    • 01:05:30know, if you exercise childhood,
    • 01:05:32premenopausal
    • 01:05:33years, later on is
    • 01:05:35a significant lower risk for
    • 01:05:36developing
    • 01:05:37breast cancer.
    • 01:05:39The research with obesity is
    • 01:05:40a little confusing because it's
    • 01:05:42related to estrogen and and,
    • 01:05:45whether you have a twenty
    • 01:05:46eight day cycle. And so
    • 01:05:48sometimes if you have high
    • 01:05:50amounts of body fat, you
    • 01:05:51might not have a a
    • 01:05:53menstrual cycle that's,
    • 01:05:54every twenty eight days. And
    • 01:05:56so it kinda confounds the
    • 01:05:57relationship with breast cancer risk.
    • 01:06:00However, with that said, we
    • 01:06:01know that weight gain
    • 01:06:03from adolescence through adulthood,
    • 01:06:06independent
    • 01:06:07of your BMI,
    • 01:06:08is associated with increased breast
    • 01:06:10cancer risk.
    • 01:06:11So I think two messages
    • 01:06:12I always like to to
    • 01:06:14tell people is to try
    • 01:06:15to prevent weight gain
    • 01:06:17and to try to reduce
    • 01:06:18sedentary
    • 01:06:19behaviors.
    • 01:06:23Alright. Well, I'd like to
    • 01:06:25thank
    • 01:06:26our panelists again
    • 01:06:28and,
    • 01:06:30let everyone know that we
    • 01:06:32have two more
    • 01:06:34of these webinars. The next
    • 01:06:35one is October ninth, and
    • 01:06:37it's
    • 01:06:38entitled early stage breast cancer,
    • 01:06:40what patients and families should
    • 01:06:41know.
    • 01:06:42And the one after that
    • 01:06:44is October sixteenth, so these
    • 01:06:45are all on Thursday nights.
    • 01:06:48And October sixteenth is progress
    • 01:06:49in metastatic breast cancer research
    • 01:06:51and treatment. Talk about the
    • 01:06:53ways we are,
    • 01:06:55have improved the treatment of
    • 01:06:56metastatic breast cancer. It's,
    • 01:06:59it's been quite astonishing over
    • 01:07:00the past decade
    • 01:07:01what has the advances we've
    • 01:07:03had. So,
    • 01:07:08that is all. Looks like
    • 01:07:09we're good. Okay.
    • 01:07:12Thanks, everyone.
    • 01:07:14And, Eliza, unless you have
    • 01:07:16any other things, we will
    • 01:07:17say goodbye.