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I'm a bit crunched for time today with last minute preparations before dashing off to ESMO on the red eye but I would like to share a cool online cancer resource with you.

At the recent EHA meeting in Barcelona, one new resource that came to my attention was ecancer.tv run by the folks from Brandcast Health.  This is what the site looks like:

Ecancertv
This European site has a lot of interesting videos of experts talking about news, new data and current affairs relating to cancer.  At EHA, I attended the press briefing they hosted, which was also filmed. It discussed the treatment of elderly cancer patients and was very well done. A number of critical issues were discussed by academics and patients on the panel, including Jan Geissler, a great guy who represents the European Cancer Patient Coalition and is a CML patient himself.

The mission of ecancer medical science, the companion open access medical journal is an interesting one:

"European cancer research is of a very high quality but is fragmented, un-coordinated and slow in translating benefits to patients. Cancer care delivery is also excellent in some European countries but by no means all. If state of the art treatment was available to all cancer patients, the World Health Organisation has estimated that over 20,000 lives would be saved annually.

ecancermedicalscience aims to improve communications between sub-specialised cancer scientists and clinicians by working interactively and faster – offering authors a rapid peer review process. Submit your paper and you'll hear if it will be published within three weeks.

ecancermedicalscience actively encourages the communities of sub-specialised scientists and cancer carers to exchange ideas and research, speeding up the time it takes from discovery, to patient benefit."

Obviously more interviews will be posted after ESMO this weekend, but take a few minutes and check them out.

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One of the biggest challenges with Vascular Endothelial Growth Factor (VEGF) therapy to date has been the singular lack of either predictive or prognostic biomarkers.

This means that we have no idea which patients are most likely to respond to therapy (ie predictive) when selecting either a monoclonal antibody (eg bevacizumab) or a small molecule tyrosine kinase (eg sorafenib, sunitinib or pazopanib), nor do we will know what their likely prognostic outcome might be in terms of survival.

In an ideal world, we would be able to predetermine and monitor therapy for specific subtypes, thereby avoiding exposing thousands of patients to the systemic effects (and costs) of a drug that may not work for them.

Of course, we all know that developing biomarkers is:

  1. not easy
  2. could be rather expensive

I was therefore greatly cheered while at the AACR meeting Denver on Molecular Diagnostics and Cancer Therapeutics last week to come across a little gem of a poster from the scientists at AVEO Pharmaceuticals.

AVEO ($AVEO), a biotech based in Boston, are developing an oral VEGF inhibitor called tivozanib, currently in phase III for renal cell cancer, and appear to have developed a method to predict which patients are more likely to respond to the compound. Whoa!

I've been watching this company for a couple of years now and have been impressed with what I see so far. Two years ago I met their CMO Bill Slichenmyer over lunch at the AACR meeting in Denver when he was at Merrimack Pharma and kept track of what was happening at AVEO when he moved there. Both companies have interesting technology platforms and smart scientists.

Aside from the poster, AVEO's head of translational medicine, Murray Robinson, also presented the data during an oral session. What was particularly interesting was that the findings were not what one might expect – at all. They wondered if the potential biomarker they identified in animal studies might be reproduced in humans.

AVEO found their biomarker by inserting specific oncogenes and other engineered genes altered in numerous cancer types into the tissue of animals then studying the variety of tumours that were produced. One example of this approach was to genetically alter the HER2 gene, resulting in tumours that naturally expressed different pathways for growth.

They then looked at 600 tumour samples in clinical trials across eight different tumour types and realised that essentially the same biomarker identified in their breast tumour model was indeed associated with clinical activity in a set of kidney tumour patients from a previous Phase II kidney cancer trial. This biomarker was associated with white blood immune cells that are recruited into the tumour to produce angiogenic growth factors and leads to intrinsic resistance to tivozanib.

I confess to being kind of awed by this sort of research.

For some time, clinicians have been grumbling about not having a biomarker for Avastin, Sutent or Nexavar to better help choose which patients would be most likely to respond, thereby avoiding the need to treat everyone to gain a benefit in a few. Here we have three big pharma companies and no biomarker. A little biotech comes along with some smart ideas, a rational approach to the problem and some creative thinking to developing a biomarker for their compound, which is not yet on the market.

Of course, this biomarker is specific to AVEO's tivozanib, as no work has been completed to show that the myeloid component they identified is relevant in the others.

The good thing is that it's now the first biomarker associated with a VEGF therapy.

The bad news is that we will have to wait a little longer to see if the results of the phase III trials in kidney cancer are good enough for approval, but hopefully that won't be too long now.

Imagine one step further.  

Currently, the FDA is reviewing Roche's Avastin in breast cancer and deciding whether or not to withdraw the application given the marginal data currently available from trials such as AVADO. Suppose Roche/Genentech had a biomarker that was relative to Avastin and could be helpful for either prognostic or better still, predictive purposes? Then you could actually make better use of the drug based on a biomarker.

Before anyone in big pharma jumps up and down and starts moaning about the cost and the difficulty, take a look at AVEO's logical, sensible technical approach to the problem. You realise that what we really need is more imagination and creativity in R&D and less objections to progress.

Now suppose the biomarker AVEO identified in their breast cancer models turns out to be useful in breast cancer for women on their compound? If you can clearly show an association between different subsets, who is likely to develop resistance and who is more likely to respond, plus better outcomes, what's not to like?  The overall response rates will be higher in some subsets and lower in others, rather than a crapshoot of "well, it helps some women" or how about the vague "many women clearly benefitted". Great, but which ones and why?

In my opinion, AVEO have done a great job identifying a relevant biomarker for their compound which may actually increase rather than lessen the chances of successful approval down the road.

May the force be with them!

 

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Recently I was chatting to some cancer patients undergoing chemotherapy and learning about the sort of things that would be useful to them.

The conversation moved from treatments and side effects to mobile applications since they all used mostly PDAs to surf. I asked them what kind of apps they would find particularly useful if they could have anything they wanted.

The answer was consistent but unexpected.

They all wanted an easy to use app to manage their fantasy football or baseball teams better. Of course, most of us probably do our research and selections on a laptop or desktop, but if you’re not well it makes more sense to use to a PDA since it’s lighter and easier to hold as well as more convenient. The current apps for managing these tasks aren’t actually that good in my experience.

Sometimes we need to remember that cancer patients are human and fancy educational apps are not actually what’s needed.

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Following my live tweets from the AACR molecular diagnostics and cancer therapeutics meeting here in Denver this week, some interesting offline discussions continued. A big focus here was on biomarkers and systems biology. Several readers observed that oncology seems to be ahead compared to other therapy areas.

What is interesting though, is that while oncology is heavy on science, pathways, targeted therapies and multiple mechanisms of actions, it is surprisingly low on predictive biomarkers. It does fare a little better on prognostic biomarkers, granted. In contrast, Alzheimer’s Disease (AD) in many ways, seems to be almost the opposite in that various biomarkers abound, but the field lags in effective targeted drugs and a deep understanding of the underlying biology (relative to oncology that is).

One area where we are likely to see more progress in the near future is in the use of imaging biomarkers for the diagnosis of early Alzheimer’s Disease.

Amyloid beta_adSeveral companies are currently undertaking clinical trials with imaging biomarkers for AD including Bayer with florbetaben (BAY 94-9172), Avid Radiopharmaceuticals with AV-45 and GE Healthcare with flutemetamol. All three are in phase III development.

Currently the use of Pittsburgh compound B (PiB) in combination with PET allows the imaging of beta-amyloid plaques in the brain that are indicative of AD. However, there are limitations with the use of PiB since it requires use of an on-site cyclotron.

A recent paper by Rik Vandenberghe from the Catholic University Leuven, published in the September edition of the Annals of Neurology caught my attention on this topic. It reported phase 2 trial results from the use of 18F flutemetamol imaging in AD.

In this clinical trial, sponsored by GE Healthcare, blinded visual assessments of 18F- flutemetamol scans were undertaken in 27 subjects with probable early-stage AD and mild cognitive impairment (MCI). The results showed a sensitivity of 93.1% in the ability of the scan to diagnose early AD, as compared to clinical diagnosis as the Standard of Truth (25 out of 27 patients). 18F-flutemetamol was also shown in 20 subjects to have comparable regional standardized uptake value ratios (SUVRs) when compared to 11C-Pittsburgh compound B (11C-PiB). Correlation coefficients ranged from 0.89 to 0.92.

What makes the use of the 18F-labeled PiB derivative interesting is that 18F-flutemamol does not require the use of an on-site cyclotron, unlike 11C-PiB. As the study reports this may make it easier to access PET technology for clinical trials and research into AD.

GE Healthcare have already started a phase 3 trial program with flutemetamol, so it will be interesting to see whether the promising phase 2 results are confirmed when the phase 3 data is available after the study is completed later this year.

Data from other phase III clinical trials make this an area to watch out for. Hopefully the development of imaging biomarkers that allow for early diagnosis, will insoire both more basic research into the underlying biological mechanisms and also stimulate companies develop more targeted drugs for the treatment of what is essentially a horrible, progressive disease.

Photo Credit: Avid Radiopharmaceuticals

Top: Elderly Patient Control

Bottom: 18F AV-45 imaging of amyloid plaque in a patient with Alzheimer’s disease

References:

ResearchBlogging.org Vandenberghe, R., Van Laere, K., Ivanoiu, A., Salmon, E., Bastin, C., Triau, E., Hasselbalch, S., Law, I., Andersen, A., Korner, A., Minthon, L., Garraux, G., Nelissen, N., Bormans, G., Buckley, C., Owenius, R., Thurfjell, L., Farrar, G., & Brooks, D. (2010). 18F-flutemetamol amyloid imaging in Alzheimer disease and mild cognitive impairment: A phase 2 trial Annals of Neurology, 68 (3), 319-329 DOI: 10.1002/ana.22068

This week I'm adjusting to the high altitude of Denver while at the American Association of Cancer Research (AACR) meeting on molecular diagnostics and cancer therapeutics. It's a great little meeting, networking opportunities are excellent and I'm learning a lot about what new cutting edge ideas are being explored.

I will be doing some highlights from each day series later in the week once I've had time to process all the information, as there is a lot to digest here.

What is interesting though, is to look at big picture trends, both in academia and basic research and also what industry are doing in their research teams, since these ideas may well get incorporated into early phase I clinical trials for validation and pilot purposes. More about this later in the week.

Although a lot of the attendees are from the diagnostics end of the business (either academic or industry), there are quite a few serious researchers and thinkers here too. Gordon Mills from MD Anderson gave one of the best talks I've seen at an opening session in a long while. David Parkinson from Nodality also laid out a strategic and thoughtful overview of how things are currently, and how they will continue to change in cancer research with new approaches. 

One thing really struck me here in Denver. While outsiders and FDA become more paranoid about conflicts of interest, it is clear to me that what we actually need is closer and more collaborative relationships between basic and clinical research in order to translate the knowledge and ideas into practice or the clinic more quickly.  To do this requires fresh ideas, a fresh approach and better communication and collaboration. 

By collaboration, I don't just mean between academia and industry, but between labs and between companies, rather than competition. Increasingly, I'm seeing smart researchers presenting data that was generated on behalf of several groups, often in different cities or even countries, each providing different skills and expertise to the research. This used to happen sporadically between friends and former colleagues, but now it's starting to become more commonplace. It's a good sign and a great way to synergies resources and bring more expertise to projects.

Industry are typically very slow to change and tend to see other companies as rivals rather than for collaborative purposes, which is a great shame given that we're all working towards the same goal: fight cancer. 

That said, there are some exciting new, albeit subtle changes afoot. When I think of cancer research, the first two industry research powerhouses I think of are Genentech, who have traditional sought strong relationships with academia and Novartis, who have the Novartis Institute for Biomedical Research (NIBR) and the Genomics Institute of the Novartis Research Foundation (GNF).  

More recent examples include Novartis and GSK, who appear to have been collaborating on research projects and the other major one that surprised many was the Merck-Astra-Zeneca hookup on specific, but related compounds with relevant cancer pathways.

Which brings me to Gordon Mills stirring talk on Monday evening. He made the case that this is the time for systems biology to make it's mark. Rather than looking at adding in a targeted therapy eg an EGFR, a MEK or whatever inhibitor (TKI or monoclonal antibody) to shut off one particular piece of a complex pathway, we need to start looking at a broader concept, which he called 'pathwayness'. That is, we have learned that cancer biology is highly complex and shutting off one aberrant or overexpressed protein, won't shut down the whole engine because either the cancer adapts or other parts continue to function and drive the tumour's survival.

For me, what was spooky about this well thought and well argued talk was that it was eerily similar as a concept to what Frank McCormack was describing earlier this year using PI3K as an example. Both McCormack and Mills are probably ahead of their time.

What we need to see is industry listening to what they have to say and start to think more strategically about what to do with all the inhibitors we already have out there for the 12 critical cancer drivers that Bert Vogelstein discussed at AACR earlier this year.  

Mills argued cogently that we actually have many of the potential tools we need to take a deeper systems biology approach to personalized medicine and by looking at each patients cancer biology we could potential develop a treatment approach relevant to them. He called this 'listening to what the patient tells us'.

This reminded me that recently, there was an article in Forbes about why personalized medicine is bunk, written by a MD at a VC firm. The article annoyed me, mainly for it's lack of critical thinking, fair balance or even a basic understanding of what is happening in medicine and clinical research. Rather than vent in the comments, I turned up at this AACR meeting and was greatly reassured that cancer research is in good hands and we have many excellent people and resources focused on the whole concept of matching treatment to a patients tumour. It will happen. In many ways the revolution has already begun; we just need to get better at it. Every failure tells us something new and important about what to do next.

We have the tools, but there are also a lot of hurdles and challenges to be addressed along the way, not least the regulatory side of things and a different way of thinking about testing and validating the ideas in clinical trials. The good news is that there is much needed activity going on behind the scenes at the policy level, as witnessed by the Cancer Caucus in DC today, where Harold Varmus is kicking off a new era at the NCI. I'm hopeful that the think tank will have open minds and the passion to change the way we think about cancer research.

 

MD2010_325x180This week I'll be at the AACR conference on Molecular Diagnostics, which promises to be an interesting and informative meeting if it lives up to it's lofty goals:

"This meeting will explore the promise of this biologically based approach to therapeutic development and clinical investigations, review the current state of accomplishments in these areas, and discuss solutions to some of the challenges as well as the resulting future advancements."

You can find out more about the program here.

If you're at the meeting, do say hello and introduce yourself, I'm looking forward to catching up with old friends and meet some new people too.

Watch out for some synopses and summaries from the meeting here on the blog later this week.

Meanwhile, if you have any burning questions, please feel free to add them in the comments below or email me directly and I'll do my best to answer.

Loved this cartoon from Hugh Macleod at Gaping Void that just arrived in my mail box:

Sisyphus-1008ww
Source: Gaping Void

In many ways, this is what drug development can look like on a day to day basis. Scientists repeating experiments, project teams holding endless meetings etc, that sometimes it's hard to see which in a portfolio of agents might actually make it through to market and which will fail along the journey.

Still, eventually, some of those small rocks reach enough critical mass (data) and actually do tip over the edge to be successfully commercialised.  

After all, that's what we all live for – the few that make it to market and make a real difference to the lives of people with cancer.

Celebrate Sisyphus today – it's not the fancy silver lures or cool new toys that makes the difference in the end, but the steadfast daily grind through R&D that eventually pays off big time for everyone.

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Cancer cells are characterized by genetic mutations that deregulate cell proliferation and suppress cell death. To arrest the uncontrolled replication of malignant cells, conventional chemotherapies systemically disrupt cell division, causing diverse and often severe side effects as a result of collateral damage to normal cells. Seeking to address this shortcoming, we pursue therapeutic regulation that is conditional, activating selectively in cancer cells.

via www.pnas.org

This was an interesting paper that caught my eye in PNAS last night.  Further reading demonstrated that the process uses small RNA molecules. The idea behind this approach was that the small RNA molecules can be programmed to attack only specific cancer cells; then, by changing shape, those molecules cause the cancer cells to self-destruct.

Normal cells die after a period of time and are replaced by new ones, a process called programmed cell death or apoptosis.  In a tumour, the cells continue to proliferate and form a mass, growing new blood vessels to feed the structure via angiogenesis.  

One of the things that has absorbed researchers for years is how to stop that process and induce cell death in cancer cells without killing a lot of normal cells at the same time.  To do this, we need to find ways of distinguishing cancerous from normal cells, thereby inducing a more targeted and selective approach to destruction and reducing unwanted side effects.  ]

This is not as easy as it sounds though!

In the PNAS study, the researchers took small conditional RNAs, which are less than 30 base pairs in length and are hairpin shaped molecules as shown in the photo below.

Picture 7

The press release from Caltech described the concept as thus:

"The researchers' method involves the use of two different varieties of small conditional RNA. One is designed to be complementary to, and thus to bind to, an RNA sequence unique to a particular cancer cell—say, the cells of a glioblastoma, an aggressive brain tumor.

In order to bind to that cancer mutation, the RNA hairpin must open—changing the molecule from one form into another—which, in turn, exposes a sequence that can spontaneously bind to the second type of RNA hairpin. The opening of the second hairpin then reveals a sequence that binds to the first type of hairpin, and so on. 

In this way, detection of the RNA cancer marker triggers the self-assembly of a long double-stranded RNA polymer."

Essentially, this is a clever way to use small conditional RNAs to the trick cancer cells into self-destructing by selectively forming long double-stranded RNA polymers that mimic viral RNA.

The researchers tested the RNA concept in the lab in xenograft models derived from three types of cancers: glioblastoma, prostate carcinoma, and Ewing's sarcoma so far, with some success:

"The molecules caused a 20- to 100-fold drop in the numbers of cancer cells containing the targeted RNA cancer markers, but no measurable reduction in cells lacking the markers."

Now clearly this approach has a long way to go before we see it in clinical trials, but there's nothing like starting off your day with exciting new technology approaches that may have application in the near future.

We need more creative research like this in oncology!

 

Photo Credit: Caltech

 

ResearchBlogging.org Venkataraman, S., Dirks, R., Ueda, C., & Pierce, N. (2010). Selective cell death mediated by small conditional RNAs Proceedings of the National Academy of Sciences DOI: 10.1073/pnas.1006377107

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Treatment for ovarian cancer hasn't changed much in the last ten years, reflecting the lack of biomarkers and biochemical targets for the disease. Chemotherapy with a platinum (carboplatin or cisplatin) and a taxane (paclitaxel or docetaxel) has therefore formed the bedrock of therapy, along with other options such as gemcitabine or pemetrexed, as illustrated in the latest NCCN Guidelines.

The good news is that the use of paclitaxel-based combination chemotherapy has been shown to increase progression free survival (PFS) and overall survival (OS) in women with primary peritoneal or ovarian cancers.

While a proportion of ovarian cancers have been shown to be highly chemosensitive, a large number unfortunately fail to respond to primary taxane therapy, leading to the emergence of resistant disease.

The big unanswered questions are therefore why does this happen and what can be done about it to improve outcomes and overall prognosis?

It was with great interest that I read about the findings of a new study just published in Cancer Cell from researchers at MD Anderson (see e-link in the references below).  According to the MD Anderson news alert:

"For the first time, Salt Inducible Kinase 2 (SIK2) has been found to play a critical role in cell division and to regulate the response of some ovarian cancers to chemotherapy."

It's not often when you see the mention of both a potential target and prognostic/predictive biomarker mentioned in the same sentence as ovarian cancer, so this is huge news!  The press release went on to claim:

"Researchers found that depleting SIK2 from ovarian cancers sensitized the cancer cells to paclitaxel, a commonly prescribed chemotherapeutic agent that inhibits cell division, making the drug more effective in stopping the cancer's growth. Levels of the SIK2 protein are increased in approximately 30 percent of ovarian cancers and are associated with poorer survival in women with the disease."

The researchers analysed nearly 780 pools of siRNAs to identify proteins that alter sensitivity to paclitaxel. They found that SIK2 regulates sensitivity to paclitaxel and prevents cell division. This means that SIK2 may offer a useful therapeutic target for pipeline drugs to be developed in ovarian cancer.

What was even more fascinating was that another related article on ovarian cancer from Bast's group appeared in the same journal. In essence, they used siRNA-loaded nanoparticles to stifle a protein, Zeste homolog 2 (EZH2), which is associated with poor survival. This resulted in inhibition of angiogenesis (formation of new blood vessels) to the tumour and caused a steep reduction in the tumour burden in a mouse model of ovarian cancer.

In this study, the authors looked at human 180 ovarian cancer tumours and found that the protein was overexpressed in the tumour samples (66%) and in the endothelial cells (67%). It is relevant to note that endothelial cells line the inside of blood vessels and play a crucial role in angiogenesis.

In practice, they found that women with increased EZH2 levels in their tumours had a median survival of 2.5 years compared to 7.33 years for those without. Looking at overexpression in the endothelial cells, the difference was 2.33 years versus 8.33 years for those with normal levels.

Like me, you're probably wondering how these nanoparticles work.  According to MD Anderson:

"The nanoparticles accumulate in the cancer cell and vasculature passively as they circulate in the blood stream. Chitosan nanoparticles are so small that they can flow through tiny holes in the tumor vasculature. They also accumulate in other organs, so the researchers are working to add a targeting molecule that will limit nanoparticle uptake to tumors and their vasculature."

Targeting EZH2 may have application beyond ovarian cancer, since it been associated with the progression and spread of bladder, breast, prostate and gastric cancers and cancer of the pharynx.

All in all, a really interesting pair of papers from Bast's group, which may have clinical promise and real application to the future treatment of ovarian cancer.

 

ResearchBlogging.org Ahmed, A., Lu, Z., Jennings, N., Etemadmoghadam, D., Capalbo, L., Jacamo, R., Barbosa-Morais, N., Le, X., Vivas-Mejia, P., & Lopez-Berestein, G. (2010). SIK2 Is a Centrosome Kinase Required for Bipolar Mitotic Spindle Formation that Provides a Potential Target for Therapy in Ovarian Cancer Cancer Cell, 18 (2), 109-121 DOI: 10.1016/j.ccr.2010.06.018

Lu, C., Han, H., Mangala, L., Ali-Fehmi, R., Newton, C., Ozbun, L., Armaiz-Pena, G., Hu, W., Stone, R., & Munkarah, A. (2010). Regulation of Tumor Angiogenesis by EZH2 Cancer Cell, 18 (2), 185-197 DOI: 10.1016/j.ccr.2010.06.016

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Hot on the heels of last week's New England Journal of Medicine article on ipilimumab (BMS) comes another article on metastatic melanoma, this time from Keith Flaherty's group in Pennsylvania and Boston on BRAF inhibition with PLX4032, an exciting compound being developed by Plexxikon/Roche (see link below in the references for the article).

I've written a few posts on this interesting compound recently (e.g. here and here), for those interested in getting up to speed on the concept and data.

The basic concept is that a while back it was noticed that some tumours such as melanoma develop the V600E BRAF mutation and induce resistance or a poorer prognosis, so common sense says why not find a targeted agent to inhibit the activity to see what happened?

In the August 26th edition of the NEJM, Flaherty et al., described the updated phase I results in two phases:

  • 55 patients (49 with melanoma) in the dose escalation phase
  • 32 additional people with metastatic melanoma who had BRAF with the V600E mutation in the extension phase

Now, remember, a phase I trial usually seeks to define the maximum tolerated dose (MTD), which is used in the phase II studies and looks at the general tolerability and side effects.  Efficacy is not the primary end point, but of course, we all secretly look at the activity to see if there is any sign of a response!

First things first.  After some palaver with the crystalline formulation, it was finally settled on a "micro-precipitated bulk powder" since that offered superior bioavailability. I'm paraphrasing a bit and taking liberties here, but no doubt regular readers will sense my excitement and tendency to skip to the bottom line and find out what it all means, although we have all been there with those kind of challenging problems, especially as they add delays and frustrations all around!

Anyway, as a result of these changes, the final recommended dose that emerged for the phase II studies was 960mg BID, with increases in the dose limited by grade 2 or 3 rash, fatigue or arthralgia. These kind of side effects are fairly typical of oral TKI's and very different from what we saw with last week's NEJM article on immunotherapy with ipilimumab in a similar population.

Potentially, the biggest concern is the appearance of squamous-cell carcinoma that appeared in 10 of 32 patients (31%) in the dose escalation cohort.  While normally well differentiated and of low invasive potential, it is something to note.  The authors noted that recent data earlier this year (see references below) suggest BRAF inhibitors can activate the MAP kinase pathway in cells that lack a BRAF mutation and may explain some of the peculiar side effects seen with PLX4032.

Previously, Flaherty et al., reported nine responses in the second PLX4032 cohort and median PFS of 6 months.  For comparison with the updated data, see the last report before reading on. Over half of the people in both cohorts had received 2 or more therapies, so these are a mix of relapsed and refractory patients:

  • In the first cohort of 55 people, there were 16 with the BRAF V600E mutated melanoma and received 240mg or more of PLX-4032.  The efficacy?  Well, there were 10 partial response and 1 complete response (69%).
  • In the extension cohort of 32 people, 24 were partial responders and 2 had a complete response (81%), which is pretty impressive all around.  No wonder Dr Flaherty was very excited when interviewed for an article in the NY Times earlier this year!

My first reaction was slight disbelief, after all, this is a very difficult to treat and highly aggressive disease, thus sadly, people do tend to relapse early. In short, if there were three cancers I absolutely wouldn't want to get, this would be one of them.

On closely checking the data carefully including the 81% response rate in the second cohort (yes, it's correct!), I noticed that the researchers reported across all patients in the phase I study, the median progression free survival (PFS) was now improved to 7 months.  That means that 50% did worse and 50% did better than 7 months, way better than one might expect so early in a trial.  I did double check again and pinch myself, as it was late on Tuesday night when I penned the draft.

If you are interested in this area, do check out the link to the article below because the water plots and anti-tumour responses over time are well worth looking at, especially as some people are clearly achieving responses approaching a year, despite having advanced disease.

"Responses were observed at all sites of the disease, including the bone, liver, and small bowel."

Yes, it is still very early, but how awesome is it to read that?

As an aside, a number of readers have written asking why sorafenib hasn't shown to be effective in melanoma, despite inhibiting BRAF.  Flaherty et al., had an answer for that. They suggested that  because it also inhibits other pathways, it may well be that the non-BRAF effects of the drug mediate side effects that limit the ability to achieve enough drug concentration and thus the drug concentration isn't high enough to effectively inhibit the V600E BRAF mutation.  An interesting theory that also speak to the idea that several specific inhibits may be more effective that more promiscuous multi-kinase inhibitors.

The good news is that for now at least, we seem to be on the right track with PLX4032 and ipilimumab in metastatic melanoma.  It will be interesting to see what the mechanisms of resistance are down the road, and whether we have some options in the works for either combination or sequencing of different targeted agents for this disease.

 

ResearchBlogging.org Flaherty, K., Puzanov, I., Kim, K., Ribas, A., McArthur, G., Sosman, J., O'Dwyer, P., Lee, R., Grippo, J., Nolop, K., & Chapman, P. (2010). Inhibition of Mutated, Activated BRAF in Metastatic Melanoma New England Journal of Medicine, 363 (9), 809-819 DOI: 10.1056/NEJMoa1002011

Heidorn, S., Milagre, C., Whittaker, S., Nourry, A., Niculescu-Duvas, I., Dhomen, N., Hussain, J., Reis-Filho, J., Springer, C., & Pritchard, C. (2010). Kinase-Dead BRAF and Oncogenic RAS Cooperate to Drive Tumor Progression through CRAF Cell, 140 (2), 209-221 DOI: 10.1016/j.cell.2009.12.040

Poulikakos PI, Zhang C, Bollag G, Shokat KM, & Rosen N (2010). RAF inhibitors transactivate RAF dimers and ERK signalling in cells with wild-type BRAF. Nature, 464 (7287), 427-30 PMID: 20179705

Hatzivassiliou, G., Song, K., Yen, I., Brandhuber, B., Anderson, D., Alvarado, R., Ludlam, M., Stokoe, D., Gloor, S., Vigers, G., Morales, T., Aliagas, I., Liu, B., Sideris, S., Hoeflich, K., Jaiswal, B., Seshagiri, S., Koeppen, H., Belvin, M., Friedman, L., & Malek, S. (2010). RAF inhibitors prime wild-type RAF to activate the MAPK pathway and enhance growth Nature, 464 (7287), 431-435 DOI: 10.1038/nature08833

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