Best explanation: 10 subgroup of Breast cancer by gene/RNA
Best layman explanation, don't miss side bars:
http://www.bbc.co.uk/news/health-17740690
Quote: "Crucially, each of these (2000) tumour samples is linked to detailed information about the subsequent fate of the women they were from. And, just as crucially, a large number of the samples are linked to a ‘matched normal’ sample (in other words, a sample of non-tumour DNA from the same patient)."
Also has a description and prognosis of 10 clusters.
Original at nature.com:
http://www.nature.com/nature/journal/vaop/ncurrent/full/nature10983.html
Ideally, future clinical trials should be designed with less population but better selection. Approval process should be accelarated more. More patients should volunteer for earlier stage clinical trials, since each clinical trial may have more difficulty accruing different subtype of patients. Donation of tumor samples may help, as in this case, 2000 samples were analyzed. This was unthinkable even 10 years ago, but in another 10 years will be cheap and very accessible
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Very interesting, thanks for posting.
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This broke on yesterday's news here in the UK.
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This topic is fully developed in Eric Topol, MD's new book, The Creative Destruction of Medicine. He said that further genetic testing of tumors and other diseases will lead to more targeted and preventative therapies. Furthermore he mentions that in the future, clinical trials will no longer be population based. They will be more individualized and take the guess work out of who will respond better to one therapy over another. This will save money and fewer lives will be lost.
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This is a big incentive for women to join clinical trials.
To get free whole genome sequencing tests performed and the very best treatment you will
have to join a clinical trial, so as to determine which of the 10 BC subtypes you have
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Anyone know how this is different from the Oncotype DX? I thought that also looked at the genetics of the tumors.
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good question: Oncotype DX tells you 4 pieces of information: HER2, ER, PR, and a recurrence score, which is computed out of about 13 gene expressions through an algorithm. The algorithm is tested from about 600 samples.
This new study is tested from 2000 samples, looks at more genes and find the 10 clusters of how the genes went wrong. This information can be the basis for more future targetting of magic bullets. Think of how Herceptin is the magic bullet for Her2+ women and how gleevac is the magic bullet for certain sarcomas and how Xalkori is the magic bullet fo a very small minority of lung cancer patient.
It's not the beginning of the end, but it's the end of beginning. To classify the beasts, to name the beasts and to vanquish the beasts. I'd look for where the tumor samples can be donated for more research and more clinical trials should be requiring tumor samples.
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The big question for me or anyone who has finished initial treatments, is whether they can retrospectively look at our tumour samples if they are held in storage and still testable, so that when the appropriate genetic treatments are found, we can get that treatment before there's a chance for progression.
Does anyone know if tumour samples are kept long term? If not, maybe pathologists should make some provision for future analysis. Otherwise this will only benefit new patients after they start routine testing for the genetic variations, or those with mets that can be tested.
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Many hospitals in the US hold tumor samples for 10 years. And a lot of gene tests can be run on these samples. There are tests that can be covered by insurance
http://www.foundationmedicine.com/
they test for about 80 common cancer /treatment genes (not just breast cancer treatment genes) . So drugs like xykori which targets ALK (80+% clinical response in lung cancer), can potentially be used in minority of breast cancer patients.
If your insurance don't cover it or you don't need your tumor sample any more or you have plenty, you should consider donating your patient record and your tumor sample to researcher. So they get more data to work from. If this research has any implication, it's more data, better analysis. Eventually better targetting.
I'm looking for researchers that collects tumor samples and patient record and run genetic tests on them?
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Thanks Jenrio, Hopefully they do the same thing in Australia. I don't see my MO for 6 months so it's a long time to wait to find out.
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Ten subgroups? Wow. Now add that to the discovery that a single tumor can have cells of two or more types, and how many permutations are out there? The targeted therapy may need to be aimed at several targets, not just one.
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Good point, elimar -- and, it's a moving target. Not only are tumor cells unexpectedly heterogeneous, but those cancer cells can change which genes they're expressing and the genes themselves can mutate.
So, sure... base a woman's treatment on her tumor's particular genetic (molecular) profile. But let's be sure it's not last month's profile that's being used, okay? That would be like treating a bacterial infection with the antibiotics that would have been effective against the infection a month ago, but aren't going to work today because the bugs have developed antimicrobial resistance since then.
otter
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Programs like MIT's bio engineering department are so important because they are finding faster and cheaper ways to decode the tumors' genetics. I know I sound like a broken record... But Eric Topol, MD, discusses this in his book The Creative Destruction of Medicine.
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