What would you do?
Comments
-
Hi, girls, need a little advice.
Recently, Kimber posted a great article about patient navigator programs. It's still on the boards in this forum, if you missed it. The article said that the ACS and NBCC offer training programs, so I e-mailed both of those organizations and asked for more info. I haven't heard from NBCC yet, but ACS sent me a reply that said that they couldn't tell me anything about it until I sent them my address and phone number, and then they'd have a Society representative contact me by e-mail, as I requested.
Now, maybe I am just getting irritated over nothing, but why can't they give me some preliminary info without knowing all that personal information? I know they're a reputable organization, but I still don't like giving out that stuff when they are capable of just e-mailing me what I asked for, and in fact they have agreed to do just that, IF I will give them the personal info they asked for.
So what would you do? Has anyone had experience with representatives of the ACS? I live in an area that has several large teaching hospitals nearby, so the chances are good (I think) that one or more of them would have volunteer opportunities for patient navigators. But until I know more, I don't particularly want the ACS to have all that info about me. I especially don't want to get on their mailing list or have them call me all the time.
I know, you're probably thinking, "Just send the info already!" But I am interested to know if anyone has had any dealings with the ACS and what you think of them.
Thanks so much!
-
Hmmmm....how odd that they would ask for that?? I would think that they would be clammering for people to help out. I also live in an area where there are several large hospitals. If you want I would be happy to give them my information. Tell me how you got in touch with them, and I will give it a whirl and let you know what I find out.
Kimber -
Oh, thanks, Kimber, that is so nice of you. I just went to their web site, www.cancer.org, and clicked on Contact Us. It brings up an e-mail form to use.
I think that I will also try calling their local office (which actually isn't all that local for me, but is the closest one) to see if they can give me any info. Maybe they won't need my address, etc., if I call them. I'll post if I find out anything. That sounds like such a good program, and I would love to be one of those volunteers.
Still waiting to hear from NBCC about their program. I got an automated reply that said I'd get an answer within 3-10 business days, so it might be a while on that one.
Thanks again!
-
Well, sometimes I wonder what in the world has happened to my brain. Why didn't I think to call the local office in the first place? (slaps self upside the head. . .)
Anyway, they were very nice. There is a program in my area and I am waiting for the contact person to get back with me. I'll post anything that I find out. I'm dreaming a little here, but I'd love to do the training, work in the established program for a while, and then bring it back to my county, which is small but does have a community hospital. I'd love for this to be available outside the big centers. Well, we'll see.
Thanks so much for putting that article up, Kimber!
-
Keep me posted!
-
I don't know how the ACS is about patient-related services, but I was not very impressed by the way the ACS treated LCIS in their MRI screening paper last year. http://caonline.amcancersoc.org/cgi/content/full/57/2/75
Maybe its because it was written by a committee, but with regard to LCIS, I found it inconsistent, including inconsistent with the only journal article it cited for LCIS.
I am not a scientific researcher. -
Thanks, Leaf. I will read that article when I get a chance. Nobody seems to know what to do with or about us LCIS girls. AAARRRRGGGH!
Anyway, I did hear back from the local ACS rep, but she didn't have any info for me yet. She's put in a call to somebody else and will let me know what she finds out. In the meantime, she suggested that I call the national ACS on their toll-free line, because she thought they'd be able to give me some specifics about the program. I called, but nobody there knew anything about it other than the fact that it exists. So I'm still waiting, but as an LCIS-er, I'm good at that by now!
I'll let you all know what eventually turns up. Thanks again!
-
LCIS = WAIT. And I do not mean wait to do something, I mean wait wait wait for results and for someone to tell you what to do. No more waiting, take the bull by the horns!
-
Oh, Kimber, you certainly made me LOL!!!! Here we go, 4 letter words :-).
The parts I found inconsistent were:
1) p. 6: "Lobular carcinoma in situ (LCIS) and atypical lobular hyperplasia (ALH), together described as lobular neoplasia, are associated with substantially increased risk of breast cancer, with a lifetime risk estimates ranging from 10-20%. This equates to a continuous risk of 0.5-1%/yr." Well from what I've read, the lifetime risk of an AVERAGE US woman is 10-12%, so what are they calling 'substantially increased'? And since the average age that LCIS is diagnosed is in ones' 40s or 50s, how do they get 10-20% since the average lifespan is over 80 years old? By that arithmetic, it seems like it should be something like 25 or 30, counting the women who die before they reach 80.
2) Then on p. 13, they say "While the lifetime risk of breast cancer for women with LCIS may exceed 20% [which contradicts their earlier statement]
, the risk of invasive breast cancer is continuous and only moderate for risk in the 12 years following local excision. Only one MRI screening study has included a select group of women with LCIS, which showed a small benefit over mammography alone in detecting cancer. This benefit was not seen in patients with atypical hyperplasia. " Well this one study is the Port study, which I have quoted often times here, which found 14 women with breast cancer over 6 years (in both atypical and LCIS groups, for a plug-in-the-numbers risk of 1%/yr.)
And this Port study (Ann Surg Onc 14 (3) 1051-1057 (2007), says "Women who have undergone a breast biopsy that demonstrates either atypical ductal hyperplasia (ADH) or atypical lobular hyperplasia (ALH) have been shown to have a 20% absolute lifetime risk of breast cancer development when compared with the average woman's risk of approximately 10%. Similarly, women found to have lobular carcinoma in situ (LCIS) on excisional biopsy have a reported risk of approximately 25% of breast cancer development."
The conclusion in the Port abstract says "Patients with AH and LCIS selected to undergo MRI screening were younger with stronger family histories of breast cancer. MRI screening generated more biopsies for a large portion of patients, and facilitated detection of cancer in only a small highly selected group of patients with LCIS." Well that IS true, but the raw numbers show 2 out of 7 of the MRI screened group had a first degree relative with bc, and the non-MRI group had 1 'unknown' whether or not she had a first degree relative with bc out of 7. Comparing 2 out of 7 with 0-1 out of 7 is not a statistically meaningful comparasion.
I'm not saying either is accurate. It would be nice for them to say what they DO and DO NOT know, or the uncertainty in their numbers.
I'm sure they have different people dealing with research and patient support.
BTW, I tried to volunteer for the groups that they are watching to see who develops bc. (They may have intended this to be average type women, but they didn't say that.) They excluded women who have a history of cancer. I said, heck, who knows how they classify LCIS?? I asked, and they had to go up the ladder to ask, and they said I was NOT eligible. -
Love it, Kimber!
Leaf, I agree with you. It sounds like the ACS is just like so many of us--they find LCIS to be a tad confusing! I wish they'd just admit it and say that more research is needed. One of my doctors (can't remember which one, now) told me that my lifetime risk would be about 30%. I'm not sure where the ACS is getting that 10-20% statistic. Also, this is the first place I've seen both LCIS and ALH described as lobular neoplasia. That's sort of interesting. I always thought LN was the "new and improved" term for LCIS, and that ALH was simply known as ALH. Live and learn, I guess.
I'm so sorry that they wouldn't let you volunteer for the study. They seem pretty rule-bound, don't they? From my dealings so far with the ACS on this patient navigator thing, it seems that they have a fairly hard time just answering a question. They have to hunt around for somebody who might know the answer, and they aren't always sure who that might be. I wish they were a little more organized.
Thank you so much for gathering all the information that you do. You're our LCIS Answer Chick! Your postings are always very helpful.
Have a great weekend, everybody.
-
Yup, I've seen one (probably more than one) academic paper abstract say that LCIS and ALH (since it can be difficult to tell the difference) should be grouped together as lobular neoplasia. I've also seen at least one academic paper abstract saying they should NOT be called lobular neoplasia, and should be called LCIS and ALH. The controversy goes on...
I think at my initial onc visit he gave me an incidence of 30% too. My 'major university' consult said my risk was between 10-60%, but probably closer to 10%. I'm sure they would cite the ACS paper!!!!
By the way, I am on the ACS mailing list as I contributed to them even before I had any breast issues. I am not trying to advocate for or against ACS or other organizations. -
Personally, I think it's ridiculous to try and clump LCIS and ALH into one catagory (an "umbrella heading" as one study referred to lobular neoplasia) as they are two different stages along the bc spectrum much like DCIS, only the potential for invasiveness is less (normal--hyperplasia--atypical hyperplasia (ALH)--insitu bc (LCIS)---invasive bc (ILC). ALH has an increased risk of 3x to 5x, where LCIS has double that (7x to 10x). Even if you figure that times the lowest "base risk" of 5 to 6%, that is a risk range of 35 to 60%. (leaf--so I wonder how that one place came up with a low of only 10% for you). Bessie (and any studies I've seen) has said that ADH/ALH has a risk of about 20 to 25%; it would follow that LCIS probably has a risk of 40 to 50%. (my onc figure it out as 36.6% for me, although I'm not quite sure how he came up with that number as I also have family history, but he said he didn't really know and honestly said he was estimating. Of course I'm hoping it's lower, but realistically I think it's probably on the higher side. I'm praying that the tamoxifen does it's job and the fact they I've lost the ovaries doesn't help a great deal (per my oncologist since I wasn't under 40), but it sure can't hurt.
Anne
-
Frankly, the risk percentage thing has me really confused. Maybe you can put it in terms I can understand, leaf. I know the usual line is 1 in 8 women develop bc in lifetime, and that the risk for each woman increases with age. I was told by my bs that my risk was 7 - 9 times what it would be without LCIS. I'm not sure whether that took the breast density into account or was just the risk alone. When I read the study cited above, I recall it indicated that density was an independent risk factor. I've plugged the numbers into the HALL model and come up with a lifetime risk of 85%. I know that the HALL is not considered totally valid, so I'm not taking that as the gospel truth, but it is somewhat alarming. I have no real idea what my risk is with LCIS, being menopausal, and having "extremely dense" breasts.
So, leaf, what does it all mean, in layman's terms? What does a risk of .5 - 1% a year mean? That doesn't sound like a high risk to me. How does that compare to the estimates of 20%, for example? Does that mean your risk is, say, 1% the first year, 2% the next, etc.? And when a chart/doctor says your risk in increased 7 times, what is it times? Does that mean a risk of 7% the first year, 14 the next, etc. or what?
Anne
-
Hi Peaches!
This first part will only be about mathematics and statistics. Its NOT about LCIS populations.
If you have a constant risk of breast cancer of 1% per year, the first year you have a risk of 1%, The 2nd year you have a risk of 1%, and the 3rd year you have a risk of 1%. So for the entire 3 years you have a risk of 1+1+1=3% for 3 years.
So, just using mathematics and nothing else, if your risk was constant and you didn't die from a car accident or anything else, over 10 years your risk would be 10%.
Now, most women with LCIS are diagnosed in their 40s or 50s. To make it simple, lets say you were diagnosed at age 50. The average lifespan of a woman in the US is something like 83 years old. Lets round it off to 80. That is probably fairly valid for LCIS because probably not a lot of people die as a consequence of LCIS. (Overall, about 65% of the women who DO get breast cancer die of something else.) Now, not everyone will live to be 83. About half of the women in the US will live to 83, and half won't. Most of the people who die before reaching 83 will die of cardiac disease, if they're like the general population.
So if you have a risk of 1% per year, are diagnosed at age 50, and live to age 80, 80-50 = 30, or 30%.
But not everyone lives to be 80. So you have to take into account the people that die of something else. If you die of a heart attack, its hard to die of breast cancer. Or at least if you die of a heart attack, you can't later die of breast cancer. So the risk might not be 30%. Maybe its 25%, (I'm just guessing, I don't have the actuarial tables, and even if I did I wouldn't know how to calculate it correctly.)
Also, if you get diagnosed initially with LCIS at age 50, clearly it is impossible for you to get initially diagnosed with LCIS at age 30. So I think you subtract some risk due to that. You can't get breast cancer from a known LCIS diagnosis at age 35 if you are initially diagnosed with LCIS at age 50. (I don't know exactly how to mathematically account for this though.)
If a chart or doctor says your risk is 7 times higher than the normal risk , then that does NOT NOT NOT NOT mean that your risk is 10 x 7 = 70%.
The risk of the AVERAGE woman in the US is about 10-12%. That hypothetical average woman in the US has some risk factors.
You multiply your LCIS risk (say its 7x) by the risk of breast cancer *for a person who has NO OBVIOUS risk factors (besides being a woman)*, which is about 3% (per Dr. Love's Breast book p. 143), taken from an article in Cancer, 1988, 62:1695, according to the citation in her book. So this would be about 7 x 3 =21% (assuming these numbers are accurate.)
Now, even if you do statistics, you must realize that different studies differ and give you different values. So it may not be 7x, or 5x, or 0.5% per year, or 1% per year.
When I stick my numbers into the Hall calculator, I, too, get a value as high as 83%. (I can't fit my numbers in the calculator exactly because I took hormones for a time, then stopped, then started again, and the calculator doesn't allow for that.)
I have been told I have dense, but not extremely dense breasts.
So far, this discussion could just as soon be the chance of me picking a green jelly bean in a jar as opposed to a red jelly bean.
*******
OK, so now I'm going to add some of the real mysteries of breast cancer, and the even more mysterious LCIS.
First, one problem that studies can have is that since there are few LCIS women, there may be differences between how YOUR pathologist diagnosed your LCIS and how my pathologist diagnosed MY LCIS. They may use different yardsticks.
Now, one of the really important things I think the Port et al study did, was that its the only study that I have come across that actually gave specific data on the INDIVIDUALS with LCIS who got breast cancer. They looked at 252 LCIS patients and 126 atypical (ALH and/or ADH) patients over 6 years.
14 patients got breast cancer in that time (discovered by whatever means). 3 of these 14 had atypia, and 11 had LCIS. So if you take the LCIS patients, just plugging in the numbers, 11 / 252 = 0.043. This means that each LCIS woman had a 0.043 chance of getting breast cancer over 6 years, or 0.043 x 100 = 4.3%. So for each year, that would be about 4.3/6 = about 0.7% per year. (One LCIS patient got DCIS in one breast, and a 1.2 cm tumor in the other, and another LCIS patient got 1 tumor in each breast also, so I don't know how you want to count that. I just counted each person as 1 person in the 11 above.) None of these women with LCIS (or atypia) who got breast cancer got anything worse than stage II.
As a whole, 2 of these LCIS women who got breast cancer had a first degree relative with breast cancer, one person has an 'unknown' status (I assume that person was adopted or lost their parents or something), and the rest did NOT have a first degree relative with breast cancer. So 2 or 3 out of the 11 women with LCIS who got breast cancer had a stronger family history. (I'm sure that 2 or 3 out of 11 is not statistically different from 10-20% - the rate of breast cancers that are genetically linked in the general population of women who get breast cancer.) 4 out of the 11 LCIS patients took tamoxifen or raloxifene.
OK, so that about 0.7% fits with the 0.5-1% per year figure. It might be higher if you count each individual breast cancer. But I'm just doing it roughly and I don't know how to do it more accurately.
Undoubtedly, SOME of these 252 LCIS patients have dense breasts, a family history, or some of the other risk factors that you or I have. I have dense, but not super dense breasts, and you have super dense breasts. And, ballpark, lets say not more than 10 or 15 women with LCIS post here, and I don't know how many of them have dense breasts.
Now, clearly, the incidence of breast cancer in that LCIS group of 252 LCIS women was CLEARLY NOT 90%, even over a lifetime of 30 more years. So that's why its IMPORTANT that Dr. Hall cautioned that his calculator had NOT been compared to populations. The population of women with LCIS and ANYTHING ELSE (risk factors or not) is puny. So we don't know. I've read papers that Guesstimate the incidence of LCIS without anything worse in the general population at age 50 might be something on the order of 1:10,000 women-years. This is a real rough estimate, because they don't know how many women have LCIS and don't know it because for most women, LCIS is an incidental finding on a biopsy, and not everyone has breast biopsies, and even if they did they can't biopsy ones' entire breast. (They might miss the area with LCIS.)
Certainly, to my knowledge, there have been NO studies that have looked at LCIS patients with dense breasts, to see if they really have a higher risk than LCIS patients without dense breasts.
So this means that we don't know if you have LCIS *AND* dense breasts, whether the dense breasts risk factor ADDS any risk to the LCIS risk. It may, but it may not. Its hard to tell without knowing how many of the LCIS patients had these individual risk factors. This study was designed to find out if MRI screening was of use for LCIS women, and not to estimate the incidence of breast cancer in LCIS women with or without other risk factors. But *IF* half of the 252 LCIS patients had dense breasts, and their risk for breast cancer was 90%, then I'm guessing that the yearly incidence for breast cancer would be higher that 0.7% per year. So I think its less probable that common factors immensely increase one's risk beyond the LCIS risk that one already has. But that's just a guess.
There probably will not be a study in my lifetime because there are too few LCIS women, and, frankly, as a whole on average, their risk for breast cancer is lower than that of BRCA women.
****************
OK, so we don't know if risk factors are additive, even if we assume there is one number you can assign to each risk.
There is an additional problem with these risk calculators.
Now, Dr. Hall admits that his calculator has NOT been peer reviewed or compared to populations. He's honest. Maybe its valid for Ms. Average Woman in the US who has dense breasts, no biopsies, and has been on birth control pills for 10 years.
The top part of Dr. Hall's calculator mimicks the modified Gail breast cancer risk model, which was named after the scientist Gail, who wrote a paper about it which was peer reviewed.
Now the modified Gail model posted on the NCI website http://www.cancer.gov/bcrisktool/
specifically excludes LCIS (because they don't have enough data about LCIS.)
OK. But lets just PRETEND that the Gail model DID hold true for LCIS patients. There is an additional problem. Now, unless you have BRCA or at least a VERY STRONG family history, I think the Gail model is about the only model we have. I did find a reference to another model, I haven't heard that model mentioned anywhere else. I don't know if this other model is only for genetically-linked breast cancers.
One study looked at how well the Gail model worked, and whether other risk factors, such as breast density, would do a better job of prediction. They looked at how many women got breast cancer in Florence, Italy. They found the Gail model actually did a pretty fine job of predicting how many women in the population got breast cancer. They also tried an Italian model that added more factors like breast density. The Gail model predicted there would be 180 women with breast cancer, the Italian model predicted there would be 186 women, and the actual figure of women who got breast cancer was 194. Excellent. They will know how much chemo to order, how many radiation machines they need, etc.
HOWEVER, there is ANOTHER aspect to assessing a model. You not only want to know how accurate it is for the population, you also want to know how accurate it is for an individual. This is called the concordance statistic.
You and I are not so terribly interested if there are 1589 women in your state with LCIS or 743, but (I assume) we are QUITE interested what is the risk of breast cancer for US as an individual. (Or I assume so.) In other words, ASSUMING that we, with LCIS, have a 25% lifetime risk is our risk (and we don't know that), how confident can we be that YOUR lifetime risk for breast cancer is 25% and MY lifetime risk for breast cancer is 25%? How good are these models at predicting breast cancer for an INDIVIDUAL?
What they do is they separate their subjects into two groups. One group is the women who were diagnosed with breast cancer, and the other group is the women who were not. They randomly take 1 woman from each group, and calculate their Gail model (or Italian model) score. They see which individual woman had a higher score.
Now if you had the perfect prediction model, that was 100% accurate all of the time, then on every sampling, the woman with breast cancer would get a higher rating than the woman without breast cancer. If your model was only as good as the toss of a dice, then 50% of the time the woman with breast cancer would have a higher score, and 50% of the time, the woman without breast cancer would have a higher score. The better model has the higher score, and the scores range between 0.5 (= 50% if its as good as a toss of the dice) and 1 (=100%, if the model is a perfect predictor.)
Well, it ended up that both the Gail and Italian models had a concordance value of 0.59. This means that 59% of the time the Gail or Italian models gave the woman with breast cancer a higher value, but it also means that 41% of the time, the Gail or Italian models gave the woman WITHOUT breast cancer a higher score.
This means that these models are only slightly better than the roll of a dice for predicting which INDIVIDUAL woman will get breast cancer. We simply don't know.
That's even IF the Gail model worked, which it doesn't for LCIS (according to the NCI website.)
So I think the best information we have is information like the Port, et al study, which gave about a 0.7% chance of getting breast cancer/year. (maybe more if you want to count individual breast cancers.)
Now one professional subscription service which I have access, says (of LCIS) the absolute risk of developing invasive carcinoma after biopsy alone in multiple studies with long term followup ranges from 3.3 to 37%, and the risk of LCIS is 7-18 times higher than in the general population. (Note in the Port study they counted DCIS as cancer, so the definitions are different.) It also opines that efforts to predict which LCIS women are more at risk have been unsuccessful. In one report, they thought the women who had LCIS and a bad family history had a higher risk, but on re-analysis they found a positive family history increased the risk beyond that of LCIS ONLY FOR women who were under age 40 at diagnosis. So since most LCIS is diagnosed in one's 40s or 50s, for most women, family history will NOT be a predictive factor, at least according to this physician's opinion.
And, yup, this major institution I got my consult at in July 2007 is an NCI designated cancer center. They said, when I pushed them, that surely my risk was between 10 and 60%, and if I really pushed them for a number, it was close to 10%. (I do take tamoxifen, and I don't know if they were counting that too.) And, yup, when you stick my numbers in the modified Gail model (ignoring my LCIS - I do have ALH and I am including that) - I get about 22%. Go figure. I wish they'd just say they don't know.
Any questions, please feel free to ask. I'm NOT a statistics expert, but I'll answer what I can. -
Leaf, you are phenomenal! Are you sure you're not a medical researcher?
You certainly could be!
Anne, there is a book you may also find helpful. The title is Assess Your True Risk of Breast Cancer, by Patricia T. Kelly. The second chapter has a lot of information about statistics, and it's written in a very readable style. Unfortunately, it was published in 2000 and I think it's now out of print. I found my copy at a bargain bookstore, and used copies are available online. Since it's so old now, some of the other information in it will be out of date, but the explanations of how the statistics are calculated and what they mean may be useful to you. I wish the author would do a revised edition.
So much of this is just guesswork.
Thanks again, Leaf!
-
Having been through many years of biopsies, close surveillance, and numerous pathology results...I looked at the LCIS diagnosis as a question of how well onecould deal with uncertainty. There is ultimately no source or model to predict invasive cancer risk with this diagnosis with accuracy, probably because there are many discrete changes in cells that can lead to " cancer" as we usually understand it. And those changes probably follow more than one single path, with variations along the way.
My advice is to have comprehensive evaluation with several oncologists, to get their estimates of your risk. A Gail model isn't much help. I got 3 separate evaluations and when they all agreed , I decided to accept the number that fell out. They based their assessments on LCIS, all the other pathologies, my breast density, and the speed at which imaging on MRI seemed to change from scan to scan on my breasts. I also participated in a surveillance study that took regular cell samples.
After more than 12 years I did ultimately have mastectomies. The decision was based on MRI scans that had widespread features of invasive disease, and my risk was so high by that point it seemed the right thing. I doubt I would have opted for the surgery at an earlier point.Counselling was helpful, though I was not someone who was thinking about LCIS all the time....just right before imaging or a biopsy. If the diagnosis is really affecting your life when you do not have invasive disease, it seems any move you can make to free yourself up to enjoy your life fully might be a good idea.
I hope this helps in some way.
Moogie -
Thank you, leaf, for that very extensive explanation. I never really grasped statistics that thoroughly, even after a college course, but you did a great job of putting it into something I can kind of understand.
It may be all academic, anyway, since what really matters to many of us is how safe or anxious we feel. Since my last mammo/MRI, I've been thinking hard about my situation. I am trying to get scheduled for a second consultation with a new breast surgeon and plastic surgeon. I realize that my ultimate goal is to avoid getting "real cancer" at all. I am not so afraid of dying as I just want to NOT have chemo, SNB, etc. I am trying to get off the fence again. At the very least, I will have gotten another view of this.
Anne
-
You're quite welcome. But please do realize I have a lot of self-interest in this too. For me, learning is power. My emotions do not always follow my head, however.
Its very hard to get a 'big picture' on LCIS and breast cancer. When I first got diagnosed with LCIS, I thought I'd never meet anyone with LCIS. I am so happy I have women like you who have helped me and shared your experience, humanity, and knowledge with me. Thank you again. -
I wanted to add one comment on testing prediction models on individuals - the concordance value.
The article said that the reason why the concordance value is so low with the Gail model, is that we do not have a good predictor that differentiates a person who will get breast cancer from a person who will not.
If you compare the two values, there is one 'hill' with maybe a little hump at the top. If the two populations were distinct, you would see two separate hills.
I'll try to give an example of a good predictor. (It won't be an excellent predictor, but it will be better than breast cancer.) Lets say you take the people who are dead drunk and drive. Look at the fatality accident record of people who are drunk and drive versus the people who are sober and drive. There are probably a lot more individuals who are drunk who end up being the driver in a fatal accident versus individuals who are sober who end up being the driver in an accident. Drinking heavily and driving, even on an individual level, is probably a pretty good predictor of being in a fatal auto accident. -
Hi Leaf,
Do you have the reference for the Italian model and the Port study (that found a 7-18 times higher rate?) Possibly the whole article? If so would you consider emailing the article to me? swiftcurrent2atyahoodotcom.
My modified Gail at the ACS site is 48% and I am just trying to piece together some possible additional risk estimates for me as an individual. The Hall model gave me an 85% which is not peer reviewed etc., so I really don't think that is my risk. I do believe however that my risk is a bit greater now that I have LCIS with my dense breasts and family history. I quoted u below. Not sure how to properly format a quote.
[One study looked at how well the Gail model worked, and whether other risk factors, such as breast density, would do a better job of prediction. They looked at how many women got breast cancer in Florence, Italy. They found the Gail model actually did a pretty fine job of predicting how many women in the population got breast cancer. They also tried an Italian model that added more factors like breast density. The Gail model predicted there would be 180 women with breast cancer, the Italian model predicted there would be 186 women, and the actual figure of women who got breast cancer was 194. Excellent. They will know how much chemo to order, how many radiation machines they need, etc....
Now one professional subscription service which I have access, says (of LCIS) the absolute risk of developing invasive carcinoma after biopsy alone in multiple studies with long term followup ranges from 3.3 to 37%, and the risk of LCIS is 7-18 times higher than in the general population. (Note in the Port study they counted DCIS as cancer, so the definitions are different.) It also opines that efforts to predict which LCIS women are more at risk have been unsuccessful. In one report, they thought the women who had LCIS and a bad family history had a higher risk, but on re-analysis they found a positive family history increased the risk beyond that of LCIS ONLY FOR women who were under age 40 at diagnosis. So since most LCIS is diagnosed in one's 40s or 50s, for most women, family history will NOT be a predictive factor, at least according to this physician's opinion.]
-
You did fine at quoting.
The coin toss (the editorial) article is a .pdf file at http://jnci.oxfordjournals.org/cgi/reprint/98/23/1673.pdf
For the Port study, if you go to this site and click on the Springer (orange) link on the right, http://www.ncbi.nlm.nih.gov/pubmed/17206485 you should get http://www.springerlink.com/content/p755k56248g052n7/. Click on the PDF icon on the upper left corner, and you should be able to download the Port study in .pdf .
This is a URL for the Italian model.http://jnci.oxfordjournals.org/cgi/content/full/98/23/1686 (I haven't read it because I didn't have free access to it before.)
I can't give you access to the professional subscription service because that's a paid service.
Obviously, if you are BRCA+, it would make sense that your risk would be higher. But as far as I know, there have been no actual studies on LCIS women who are BRCA +. Evidence doesn't have to 'make sense'.
-
Big Hugs once again to you Leaf. Thank you for the links
Categories
- All Categories
- 679 Advocacy and Fund-Raising
- 289 Advocacy
- 68 I've Donated to Breastcancer.org in honor of....
- Test
- 322 Walks, Runs and Fundraising Events for Breastcancer.org
- 5.6K Community Connections
- 282 Middle Age 40-60(ish) Years Old With Breast Cancer
- 53 Australians and New Zealanders Affected by Breast Cancer
- 208 Black Women or Men With Breast Cancer
- 684 Canadians Affected by Breast Cancer
- 1.5K Caring for Someone with Breast cancer
- 455 Caring for Someone with Stage IV or Mets
- 260 High Risk of Recurrence or Second Breast Cancer
- 22 International, Non-English Speakers With Breast Cancer
- 16 Latinas/Hispanics With Breast Cancer
- 189 LGBTQA+ With Breast Cancer
- 152 May Their Memory Live On
- 85 Member Matchup & Virtual Support Meetups
- 375 Members by Location
- 291 Older Than 60 Years Old With Breast Cancer
- 177 Singles With Breast Cancer
- 869 Young With Breast Cancer
- 50.4K Connecting With Others Who Have a Similar Diagnosis
- 204 Breast Cancer with Another Diagnosis or Comorbidity
- 4K DCIS (Ductal Carcinoma In Situ)
- 79 DCIS plus HER2-positive Microinvasion
- 529 Genetic Testing
- 2.2K HER2+ (Positive) Breast Cancer
- 1.5K IBC (Inflammatory Breast Cancer)
- 3.4K IDC (Invasive Ductal Carcinoma)
- 1.5K ILC (Invasive Lobular Carcinoma)
- 999 Just Diagnosed With a Recurrence or Metastasis
- 652 LCIS (Lobular Carcinoma In Situ)
- 193 Less Common Types of Breast Cancer
- 252 Male Breast Cancer
- 86 Mixed Type Breast Cancer
- 3.1K Not Diagnosed With a Recurrence or Metastases but Concerned
- 189 Palliative Therapy/Hospice Care
- 488 Second or Third Breast Cancer
- 1.2K Stage I Breast Cancer
- 313 Stage II Breast Cancer
- 3.8K Stage III Breast Cancer
- 2.5K Triple-Negative Breast Cancer
- 13.1K Day-to-Day Matters
- 132 All things COVID-19 or coronavirus
- 87 BCO Free-Cycle: Give or Trade Items Related to Breast Cancer
- 5.9K Clinical Trials, Research News, Podcasts, and Study Results
- 86 Coping with Holidays, Special Days and Anniversaries
- 828 Employment, Insurance, and Other Financial Issues
- 101 Family and Family Planning Matters
- Family Issues for Those Who Have Breast Cancer
- 26 Furry friends
- 1.8K Humor and Games
- 1.6K Mental Health: Because Cancer Doesn't Just Affect Your Breasts
- 706 Recipe Swap for Healthy Living
- 704 Recommend Your Resources
- 171 Sex & Relationship Matters
- 9 The Political Corner
- 874 Working on Your Fitness
- 4.5K Moving On & Finding Inspiration After Breast Cancer
- 394 Bonded by Breast Cancer
- 3.1K Life After Breast Cancer
- 806 Prayers and Spiritual Support
- 285 Who or What Inspires You?
- 28.7K Not Diagnosed But Concerned
- 1K Benign Breast Conditions
- 2.3K High Risk for Breast Cancer
- 18K Not Diagnosed But Worried
- 7.4K Waiting for Test Results
- 603 Site News and Announcements
- 560 Comments, Suggestions, Feature Requests
- 39 Mod Announcements, Breastcancer.org News, Blog Entries, Podcasts
- 4 Survey, Interview and Participant Requests: Need your Help!
- 61.9K Tests, Treatments & Side Effects
- 586 Alternative Medicine
- 255 Bone Health and Bone Loss
- 11.4K Breast Reconstruction
- 7.9K Chemotherapy - Before, During, and After
- 2.7K Complementary and Holistic Medicine and Treatment
- 775 Diagnosed and Waiting for Test Results
- 7.8K Hormonal Therapy - Before, During, and After
- 50 Immunotherapy - Before, During, and After
- 7.4K Just Diagnosed
- 1.4K Living Without Reconstruction After a Mastectomy
- 5.2K Lymphedema
- 3.6K Managing Side Effects of Breast Cancer and Its Treatment
- 591 Pain
- 3.9K Radiation Therapy - Before, During, and After
- 8.4K Surgery - Before, During, and After
- 109 Welcome to Breastcancer.org
- 98 Acknowledging and honoring our Community
- 11 Info & Resources for New Patients & Members From the Team