RNAi Therapeutics Stocks (Part 2)

Having covered the most developed RNAi companies (Alnylam, Arrowhead, Dicerna) yesterday, this blog entry will discuss RNAi plays that are somewhat less established, but nevertheless could represent interesting investment opportunities.

Silence Therapeutics (SLN.L)

This London-listed company is roughly 2 years behind Arrowhead Pharmaceuticals and Dicerna.  Similar to those, Silence has set its sights on exploiting targets in liver hepatocytes using GalNAc conjugate technology.  Its first program targeting TMPRSS6 for iron overload disorders should enter the clinic in the first half of 2019.

The strength of Silence is partly its RNAi trigger IP position which, if the claims stand, should read on Alnylam’s 3-4 drug candidates that could come on the market over the next 2-3 years.  In my opinion, it would take a generous interpretation of what constitutes a ‘pattern’ for LNP-enabled Patisiran to fall under Silence IP, but it is much less of a stretch for the more stabilized GalNAc-enabled Givosiran, Fitusiran, and Inclisiran molecules in late-stage development.

Part of the potential upside could  therefore come from a settlement of the IP litigation that Silence has filed against Alnylam as it could hamper the commercialization of Alnylam's RNAi drug, especially as it ramps up for the launch of Patisiran. 

The reason why such revenues would be meaningful to the company is that Silence is run extremely well in financial terms such that these funds would neatly feed into Silence's operations as it is about to expand clinically all the while minimizing shareholder dilution. 

This, however, could also be viewed as a necessity since it is much more difficult for a London-based company to raise the kind of biotech ‘risk capital’ that allows companies like Alnylam in the US to really press down the gas pedal to pursue a grand vision without killing shareholders.   

Silence Therapeutics is an investment for those that value the pursuit shareholder return instead of mere market cap growth (=management bragging rights).  While I support this strategy, I am still largely on the sidelines as the company needs to address the anemic trading volume which makes it very costly to trade in and out.

RXi Pharmaceuticals (RXII)

Who doesn’t dream of striking it rich overnight?  If so, RXII is the type of stock that in the right biotech environment could be your daily biotech double in the not-so-distant future.

After all, which other biotech with a market cap of ~$15M can boast about 3 clinical data read-outs before year-end and one additional in early 2018?

1) Q4 2017: phase II results dermal scarring (RXI-109)

2) Q4 2017: phase II results warts (samcyprone, non-RNAi)

3) Q4 2017: UV-induced hyperpigmentation results, consumer testing (RXI-231)

4) Q1 2018: phase I/II results retinal scarring (RXI-109)  

It is possible that the first 3 data read-outs could show that the agents are active and well tolerated, but where there will be a discussion about the commercial adoption of these agents in the real world.  Therefore, the real fireworks may occur following the results from the retinal scarring phase I/II trial in early 2018.  Here, the self-delivering RNAi trigger technology is tested for the first time in the eye where for reasons of technical feasibility (more equal biodistribution throughout eye than in the skin) and clinical application I see the most potential for this technology.

Downside risk comes from management that is pitifully ignorant about the workings of the financial markets and shareholder value creation.  If RXi fails to ignite investor interest in the wake of any of these 4 shots on goal, we could well see a continuation of the financial death spiral that has seen RXII lose 98-99% of its value in the last 3-4 years!!!

I own approximately 3% of the outstanding shares of RXII and will try to add on any weakness ahead of data release.

Arcturus Therapeutics (ARCT)

In sharp contrast to RXi, I view management of Arcturus as far more savvy when it comes to the financial markets and building a biotech company of decent size.

Arcturus, which has recently gone public via a reverse merger, has its roots in RNAi technology, largely by copying liposomal delivery technology from Tekmira (now Arbutus) and then licensing related RNAi IP from Marina Biotech.  In light of the Patisiran APOLLO results, you could view the platform as fundamentally de-risked.

In fact, its lead program was an RNAi program to address TTR amyloidosis.   Since then, however, Arcturus has largely re-tooled itself as an mRNA Therapeutics company using LNP delivery technology.  Although its pipeline is not as prolific as that of much-better known Moderna, it appears impressive for a company with a market cap of still less than $100M just as its partnering activities.

Therefore, Arcturus is a bet on a management that can take average science to build a significant biotech as it talks the language of Wall Street and Pharma deal makers.  It was one of my early biotech investment mistakes to undervalue big-mouthed management relative to science. The best science can always be acquired once you have lowered your cost of capital by growing market cap.

I have a starter long position in ARCT as I wait for it to be discovered by larger hedge fund manager.

The final instalment of this series will cover oligonucleotide therapeutics companies Ionis Pharmaceuticals, Wave Life Sciences, Regulus Therapeutics, and Sarepta.

Artificial Intelligence for RNAi Gene Target Discovery Still Early

It’s not every day that you can see a person like chess playing legend Gary Kasparov at a biotech company’s Investors Day.  And if you did, you might wonder whether this was  some kind of stunt.

I was therefore pleasantly surprised to find that Kasparov was indeed a very fitting appearance investor event by Silence Therapeutics this week (for presentation here).  In the 80s, Kasparov apparently gained an edge over the competition by analyzing opponents’ playing habits using ‘big data’ at a time that personal computers were only about to take off.  As a former professional chess player himself, the CEO of Silence (Ali Mortazavi) therefore believes that there similarly must be ways to more efficiently take advantage of the realms of genomic data being generated to gain an edge over the pharmaceutical competition in finding attractive targets and indications for RNAi gene silencing.

Herd mentality

One of the main reasons I used to look down at Big Pharma  with disdain was their herd mentality especially with regard to the targets and indications they are pursuing.  You can bet that if there is general hype around a certain target, or that once a target has been validated for a commercially attractive indication in a clinical proof-of-concept study, almost all Big Pharma companies will be pursuing corresponding programs.

Unfortunately, such herd mentality is not restricted to Big Pharma, but can also be observed in the biotech space (see PD/PD-L1 for cancer etc etc), even in the subsector dearest to my heart: oligonucleotide therapeutics.  Be it TTR, AAT, DMD, or HBV: once there is a compelling therapeutic rationale for pursuing a gene target, multiple companies will be on its case.

It is for this reason, particularly the fear that an Alnylam or Ionis will scorch the earth around these targets, that many companies now delay disclosing the nature of their most promising preclinical programs.  This is remarkable since small biotechs like Dicerna typically rely on disclosure of their of these programs to garner the necessary investor interest.

Target scarcity?

The fact that the lead programs of RNAi therapeutics companies frequently overlap also beckons the question of whether there is a biological scarcity of targets available.  This would be in contrast to Alnylam which have limited themselves to GalNAc-RNAi trigger conjugates for gene knockdown in the liver, claiming- in the flowery languish of its CEO- to be ‘drinking from a firehose of opportunities’ in just the hepatocyte.

To Alnylam’s credit, it has not only duplicated some of the programs initiated by antisense competitor Ionis Pharmaceuticals and that of its smaller RNAi competitors, they have done some of the heavy lifting themselves.  It was e.g. Alnylam that realized the true value of going after transthyretin for TTR amyloidosis and it was Alnylam that selected a target as unorthodox, but promising as antithrombin for the treatment of a protein deficiency: hemophilia (à ALN-AT3/Fitusiran). 

Other companies like Dicerna and Arrowhead Research can also be complimented for unearthing gene target nuggets for orphan indications like primary hyperoxaluria and liver disease due to certain mutations underlying alpha-1-antitrypsin disease.

Mining for targets

I am not concerned about a dearth of suitable targets that could inhibit the continued growth of RNAi Therapeutics.  This is because there are thousands of rare and severe diseases for which there should be straight-forward genetic solutions and because genetic/genomic information continues to explode.  Still, there is certainly tremendous value if you are the first to gain high conviction around a new target and it was the CEO of Silence who bemoaned what seemed to him like an archaic, manual process of sifting through the genetic ideas one by one.

The panel discussion largely cautioned that human curation will remain dominant for the foreseeable future.  I am slightly more optimistic (or pessimistic, depending on your attitude towards AI) and give AI 5 years or so until it will become a more and more compelling means for driving gene target discovery.  This delay relative to areas like the internet is largely explained by the fact that whereas genomic information has exploded, databases that link them to careful, systematic medical phenotyping are still in their infancy. 

In the meantime, some low-hanging fodder for oligonucleotide drug development may come as a by-product of genetically diagnosing rare diseases when often the last hope for getting a grip on a condition is to genome sequence the patient.

There are beneficiaries already from the recognition of the importance of pairing phenotype with genotype databases such as 23andMe which is said to be getting quite a bit interest from pharmaceutical companies and investors. This comes after the pioneer of sifting through genomic/phenomic data for target discovery, deCODE of Iceland, was acquired by Amgen in 2012.  deCODE rose to fame by linking population-wide genetic information to national health-record databases.  I would think that we will see quite a few more similar endeavors linking existing (à nations with a high level of social bureaucracy such as the Nordic countries) or IT-driven newly generated (à Google, wearables) health records to genome and transcriptome databases. 

And as these databases grow and become more intelligent, it will be those that first understand to harness them that will gain a Kasparov-style edge over the competition.  But don’t be afraid: AI should not make human gene target discoverers/evaluators redundant any time soon and their cost relative to the cost of developing drugs is too low.  If anything, they will be needed to make the ultimate decision of whether to pursue a proposed target as each disease is unique and it will take a long time until enough billion-$ clinical experiments will have been run to provide sufficient feedback for the AI to improve.

 Silence Therapeutics: Ready for Take-off

I usually do not attend biotech companies’ Investors Days, but since London is not too far away from home, I took advantage of the proximity to get a feel for how the company has matured. 

Silence Therapeutics has long been a player in the area of RNAi trigger design and IP (see also their claim on Alnylam products), but has struggled to come up with compelling therapeutic programs.  It was as if they never really tried.  This can probably be attributed to them having lacked the personnel with the experience of taking an idea through the clinic and onto the market.

It now seems as if they not only got the technology (à focus on GalNAc-RNAi) to the point of clinical maturity, but also have assembled the management with the skill and will to succeed in developing game-changing RNAi drugs.  First up will be SLN124 targeting TMPRSS6 for iron overload disorders with a projected CTA/IND filing in Q4 2018.