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One angle I feel is often missed in the whole cancer discussion is that it's a multidimensional problem. 1) Developing drugs which can damage cancer cells sele
by alexholehouse 15y ago
One angle I feel is often missed in the whole cancer discussion is that it's a multidimensional problem.
1) Developing drugs which can damage cancer cells selectively.
Like selecting a few needles in a haystack, cancer cells typically "look" the same as healthy cells, which makes selectively destroying them very difficult. Some cancers (such as CML) have a specific driver mutant proteins which allows for a pinpoint attack (Gleevec), but if this target protein mutates and Gleevec can no longer bind then that drug instantly becomes totally ineffective.
2) Identifying malignant tissue
Surgery is still one of the most important tools against many forms of cancer, yet being able to identify malignant tissue vs. healthy stuff has always been a problem. In the first half of the 20th century the radical mastectomy was all the rage, but in reality provided little benefit. I was lucky enough to see Roger Tsein speak a few years ago (Nobel prize for GFP) who is pioneering a way to fluorescent tag malignant tissue which can be viewed in real time to give surgeons an augmented reality overview of a tumour to maximize the chance of getting all the malignant cells.[http://en.wikipedia.org/wiki/Roger_Y._Tsien#Fluorescence-assisted_cancer_surgery http://en.wikipedia.org/wiki/Roger_Y._Tsien#Fluorescence-ass...].
3) Stopping metastasis
Even if a patient presents with a tumour and that tumour is removed, it's impossible to tell if any of the maligant cells have managed to escape to other parts of the body, where they slowly start to regroup before launching a subsequent attack. This is the primary reason why cancer survivors have 5Y and 10Y survival rates as opposed to, "You're cured". The mechanism and time in a cancer at which this happens depends on so many factors its currently almost impossible the predict.
4) Drug delivery
The tumour micro environment is so foreign compared to the normal stromal environment, and moreover so heterogeneous between tumour types (which in turn depends both on a cancer's underlying genotype and its associated tissue, vascularization and a wide range of additional factors) that creating drugs which can just survive long enough to act on their target can be difficult. This, combined with the fact that tumours are, compared to normal tissue, often poorly vascularized, means just getting drugs in can be a major challenge. I remember reading how often the vascularization of a tumour can be proportional to rate of growth and inversely proportional to chemotherapeutic efficacy (although don't quote me because I can't find the reference) meaning smaller, slower growing tumours often represent those most difficult to treat while larger, more aggressive ones may respond better, if caught in time.
5) Cancer is effectively microscale evolution
Perhaps the biggest problem is that once cancer cells begin to acquire some initial mutations (and lie in a pre-cancerous form) they're often more susceptible to further mutations. In a way, this allows them to employ a sort of bet-hedging strategy, such as that seen by yeast or other single celled organisms. No longer can we treat the cancer cells as part of our multicellular body, but as a separate, single celled population. This means that even if certain drugs are effective, there will be a small population of cancer cells who may have mutated in such a way that they are resistant, so even if a treatment gets 99% of the cells, that final 1% can restart and the same bet-hedging strategy is re-employed to create another, diverse set of cells. This is totally analogous to antibiotic resistance. The range of this diversity varies significantly between cancers, but as we "pick out" the easier ones with an obvious target, this will become an every increasing issue.
These are just a few points - there are more, but I've tried to focus on ones not yet brought up in discussion. This is an area I have some experience with, and if anything is unclear let me know and I'll do my best to explain.
[EDIT]: This is not meant to be quite as, "we're all doomed" as it appeared. I think Dn_Ab's post summarizes how I feel more accurately. The development in a range of different areas has been staggering (childhood leakemia, CML, Her2+ BC etc), and the reason this is such a daunting task is because the magnitude has only reared its large, complex head in the last 10-15 years or so. Despite the challenges, it is a very exciting time to be a cancer biologist.
- moldbug 15y agoI'm going to be a heretic and argue that the problem with cancer research is institutional, not biological. The biological problem is clearly very hard, but the institutional problem is impossible. You might or might not be familiar with the term "OODA loop," originally developed by fighter pilots: http://en.wikipedia.org/wiki/OODA_loop http://en.wikipedia.org/wiki/OODA_loop If the war on cancer was a dogfight, you'd need an order from the President every time you wanted to adjust your ailerons. Your OODA loop is 10-20 years long. If you're in an F-16 with Sidewinder missiles, and I'm in a Wright Flyer with a Colt .45, I'm still going to kill you under these conditions. Cancer is not (usually) a Wright Flyer with a Colt .45. Lots of programmers are reading this. Here's an example of what life as a programmer would be like if you had to work with a 10-year OODA loop. You write an OS, complete with documentation and test suites, on paper. 10 years later, the code is finally typed in and you see if the test suites run. If bug - your OS failed! Restart the loop. I think it's pretty obvious that given these institutional constraints, we'd still be running CP/M. Oncology is still running CP/M. Most cancer researchers are not even in the loop, really. For one thing, 90% of your research is irreproducible: http://www.pharmalot.com/2012/03/many-cancer-studies-are-actually-unreliable/ http://www.pharmalot.com/2012/03/many-cancer-studies-are-act... Even when the science is reproducible, your cell lines and mouse models are crap and bear little or no resemblance to real tumors. You know this, of course. But you keep on banging your heads against the wall. What would a tight OODA loop look like? Imagine I'm Steve Jobs, with infinite money, and I have cancer. Everyone's cancer is its own disease (if not several), so the researchers are fighting one disease (or several), instead of an infinite family of diseases. They are not trying to cure pancreatic cancer - they are trying to cure Steveoma. Second, they operate with no rules. They can find an exploit in Steve's cancer genome on Wednesday, design a molecule to hack it on Thursday, synthesize it on Friday and start titrating it into the patient on Saturday. Pharmacokinetics? Just keep doubling the dose until the patient feels side effects. Hey, it worked for Alexander Shulgin. Moreover, Steve isn't on just one drug. He's got thirty or forty teams attacking every vulnerability, theoretical or practical, that may exist in his cancer cells. Why shouldn't he be attacking his cancer in 30 ways at the same time? He's a billionaire, after all. Not everyone is a billionaire. But if you do this for enough billionaires, the common elements in the problem will start repeating and the researchers will learn a repertoire of common hacks. Eventually, the unusual becomes usual - and cheap. This is the way all technology is developed. Of course, someone might screw up and a patient might die. You'll note that a lot of cancer patients die anyway. Steve got a lot, but he didn't get this - why not? It would be illegal, that's why. Sounds like something the Nazis would do. Nazis! In our hospitals! Oh noes! The entire thrust of our medical regulatory system, from the Flexner Report to today, is the belief that it's better for 1000 patients to die of neglect, than 1 from quackery. Until this irrational fear of quack medicine is cured, there will be no real progress in the field. The entire process we call "drug development" is an attempt to gain six-sigma confidence that we are not practicing quack medicine. Especially for cancer, do we need all these sigmas? And are we obtaining them in an efficient way? I can't imagine how anyone would even begin to argue the point. What is the source of this phobia? It is ultimately a political fear - based on public opinion. Its root is in the morbid, irrational fear of poisoning. But it also has a political constituency - all the people it employs. In that it has much in common with other "anti-industries," like the software patent mafia.