Crispr Wins Key Approval to Fight Cancer in Human Trials
bloomberg.com
bloomberg.com
We are building out our platform for bioinformatics. Some engineering topics:
* Large scale data processing (Cloud & on-prem HPC based)
* Bioinformatics / ML algorithms
* Data storage & retrieval (File systems & databases)
(Edit: Thanks! Just noticed you added it.)
I noticed that the Parker Institute is a non-profit? I was curious what kind of ramp-up path you offer people like me, with a background in ML, and are excited to learn some more biology if they join the team? Since you're a non-profit, I was wondering if there'd be any interest in helping to curate a bunch of links/resources/etc. so people like me can learn and ramp-up in our spare time? I guess I'm wondering if it's difficult to hire for this role. So maybe other non-profits, e.g. J. Craig Venter Institute may also be interested in helping to curate these resources to help increase supply of possible hires?
CRISPR big hope is that it can change the cell to stop reproducing or stop invading other cells. Simply put cancer cells are cells that grow that don't stop AND can spread to other cells. If you get one of the two you win.
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Thus, the T-cell approaches are more promising currently as it allows for direct modification of cells to fight cancer with known anti-cancer antigens, using a modified immune system.
Unfortunately, it would also produce humans would be dependent on some form of periodic telomerase therapy targeted to stem cells, or stem cell replacement, or similar. This might be a net gain in a suitably high-tech environment.
A better approach would be something other than permanent removal of telomerase and ALT genes, but perhaps suppressing them globally for a while, or suppressing them in cancerous tissue only. RNAi or other methodologies are pretty reliable for this sort of thing at the present time in the general sense.
I have learned through this that A) I depend on God B) I love life and cherish more because of the journey. SO they have made enjoy life more because they were in my life.
> I lost my mom to cancer
Sorry to hear that. Cancer SUCKS
As a random example of inefficiency: there's a lot more money going into research on specific degenerative diseases than into the causes and solutions for degeneration. Solve the root cause, not the symptoms.
Neurodegeneration is a pattern of response to multiple disease processes - we can only understand the response by studying the cases in which it arises.
For the tech-minded crowd, this is like wanting to create responsive designs without actually making websites to demonstrate them.
The NIH really only funds follow-on work for things that are already known. In order to win a grant you have to have already proven your thesis. It is somewhat ridiculous.
So if you want to delegate your vote, delegate it to a non-profit. Or invest in a startup in the field you care about. Anything other than giving to the NIH.
For anyone who wants to support research into ending aging, age-related degeneration, and related diseases, I'd recommend supporting SENS (http://www.sens.org/).
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(1) This just happened this month. The Doctor called me with the results literally the week after I handed in my notice at a secure job to join an early-stage startup.
Life really is short! (http://www.paulgraham.com/vb.html)
No I don't regret my decision :)
(Also thank Jeebus I live in Canada where my current lack of benefits does not preclude me from getting the best treatment.)
(For those of you who aren't in on the joke, "The Heroes of CRISPR" was written by the director of the Broad Institute, which incidentally has Feng Zheng on its payroll. For that reason Eric Lander has been roundly criticized for attempting to weigh in on the history early. My friends who work in and around Kendall Square say that some of the criticism is overblown, the article points out a lot of people who didn't get much recognition prior, but still... it's a bit skeevy so you might want to take the latter half of the article with a grain of salt as it's not necessarily factually wrong, but the emphasis might be distorted and there is a risk of omissions.)
In the case where this was a known technique that had significant difficulties in translating to eukaryotic work, then the Broad Institute's work would be significant. That was not, however, the case. Very little needed to change, and the technique has been widely applicable.
Just a quick look though Doudna's publications shows that this is an issue with a great deal of background work behind it, years of effort that fortuitously resulted in an incredible invention. Then, someone comes along, copies your work in some different bugs, and claims ownership. It's really no more complicated than that.
I work for Synthego and we make synthetic RNA for CRISPR/Cas9 Genome Engineering. Our process is fully automated with robots and an architected LAB synthesizer.
We are actively hiring:
* Full Stack Engineers with strong DB and Python skillS * Robotics/Mechanical Engineers with automation experience AND who think outside the box! *Extraordinary Human Beings are welcome too
If you are interested --> email me: victoria.danahy@synthego.com :-)
Something unsettling about how that is worded, but this awesome. There hasn't really been any major breakthrough like this in a very long time, as the era of antibiotics ends, new treatments like this might open the door for a new wave of medical treatments.
The basic idea is this: the cancer has a number of mutations that produce novel antigens that don't exist in normal cells. If we can train T-cells to recognize these, they can attack the tumor with great specificity and kill those cells.
The problem is, all the tumor has to do to evade this targeting is shed the problematic mutation, which is easily done - tumors are great at acquiring novel mutations to become resistance to therapy, losing a mutation is even easier. All you have to do is ditch one arm of a chromosome, revert the mutation, or otherwise eliminate the novel mutation, and your tumor cell is now resistant to this therapy.
Add to this the fact that we are basically shit at predicting which mutant proteins will produce neoantigens and you have a recipe for total failure, even in concept.
i.e. the probability of shedding a single mutation is 1/x, but the probability of shedding two in the same organism is (1/x)^2, so targeting more mutations make it exponentially harder for the organism to adapt.
Second: Do you know if clinically, agents like gleevec are primarily used as standalone or in conjunction with more aggressive (and, unfortunately, side-effect laden) therapies? I was always a bit aware of the pernicious "maintenance drug" status of gleevec, but presumably if you combine it with an orthogonal therapy you could get higher coverage and better statistical odds of sending the patient into remission.
Mostly, the TKIs spread the Kaplan-Meyer curve out/lengthen it, but because it is still relying on the immune system to kill the cells (mostly) essentially TKIs are providing cellular senescence rather than cellular death. The bcr/abl mutation that imatinib targets is a cellular replication pathway, not s cell death pathway
It's how they cured former President Carter:
http://www.forbes.com/sites/arleneweintraub/2015/08/21/jimmy...
This person is literally working in the research sector involved, giving their opinion (it's not a nice opinion, but it is presumably informed), and getting downvoted because the HN crowd doesn't like it.
EDIT: At the time I wrote this comment the parent comment and the root comment were both far into the negatives with downvotes.
Down votes = troll or argumentative or factually wrong
Actually
Down votes = I disagree
I have quit HN many times over that but there isn't anything that can replace HN right now.
I share the parent's skepticism. Fighting cancer is fighting basic biology population dynamics: the population that survives the assault is by definition harder to kill. It's made even harder by the very nature of cancer cells that freed from following the rules: they can relocate at will while simultaneously ignoring the body's zoning board (metastasis), steal nutrients (angiogenesis), dump waste in their backyard (poor lymphatic recruitment) and create an area that is inhospitable to other cells while simultaneously making for difficult drug delivery, ignore court orders to stop what they're doing (evade apoptosis), and replicate faster than other cells in the body (both by producing their own growth signals and ignoring anti-growth signals, including senescence). Also, the cancer cells have a head start. The deck is stacked against "curing" cancer by chemotherapeutics or immunotherapy.
Do you think if we had more data surrounding those mutant proteins we could start predicting better?
What makes this approach so destine to fail? It's an honest question as I'm not as familiar with the details.
It is very much the luck of the draw going cancer by cancer as to whether you can pick a target that is more or less likely to be evolved around by the cancer. Leukemias were a lucky hit, but that may or may not hold up for other targets and other cancers as they are put forward.
Some groups are working on blocking the action of telomerase, but to make a viable treatment ALT (alternative lengthening of telomeres) will have to be blocked too, since researchers have already seen telomerase-abusing cancers turn into ALT-abusing cancers.
(You mention you're involved in cancer research, so you presumably know all this already- I'm wondering if there's a more nuanced reason for this pessimism.)
The best theory I've heard so far as to how we'll "cure cancer" altogether is that we'll simply develop a big enough armory of anticancer treatments that no individual cancer case could evolve fast enough to beat them all. Unlike bacteria or viruses, cancers evolve on their own and when they're done their evolutionary innovations die with them. Our technology lives on, though, so we can hope to eventually just totally outclass their capabilities. If CRISPR gives us another source of these partial treatments, we're just that much closer to that level.
As for the "kitchen sink" approach, so far none of the methods we've developed are free from side effects. Cancer patients are often on the edge of death; each successive therapy will probably do more damage to them. As it is most people fail on current immunotherapies because of autoimmune reactions. So relentless application of therapies is not necessarily going to work, though of course having more weapons in our arsenal is great.
I think one of our bigger problems with fighting cancer is we only trial new treatments in people on deaths door who have failed everything else. Treatments that would help someone newly diagnosed (the treatments we really want) are just not possible to bring to market.
1. adoptive CAR T cell transfer
(which has been shown to work
with varying degrees of success)
2. PD-1 is CRISPR'd out (to combat exhaustion)
3. The TCR is CRISPR'd out (to increase specificity)
CAR Ts have certainly had some success; my concern with this trial would be more autoimmune problems, not that it would fail hard.Is there something else about this trial that would make it unsuccessful?