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Wednesday, January 16, 2019

Diabetic Ketoacidosis Risk May Derail Sanofi Drug’s Chances for T1D Approval


The SGLT-1/2 inhibitor sotagliflozin will come before the FDA’s Endocrinologic and Metabolic Drugs Advisory Committee on Thursday as potentially the first drug in its class to be approved for type 1 diabetes, although agency staff aired concerns about increased risk for diabetic ketoacidosis (DKA).
While SGLT-2 inhibitors are a popular therapy option for type 2 diabetes, Sanofi’s oral sotagliflozin — a dual inhibitor of sodium-glucose cotransporter 1 (SGLT-1) as well as its SGLT-2 cousin — could be the first oral adjunctive therapy for people with type 1 diabetes. Developer Sanofi is seeking approval for sotagliflozin as an insulin add-on in patients with type 1 diabetes inadequately controlled with insulin alone. It has tentatively picked Zynquista as a brand name if it’s approved.
SGLT inhibitors delay and reduce glucose reabsorption after a meal by increasing urinary glucose excretion. The proposed dosing of the drug is 200 mg once daily prior to the first meal of the day, with increase to 400 mg daily when necessary.
Currently, the only FDA-approved therapeutic options for type 1 diabetes include insulin and injectable pramlintide (Symlin) as an adjunct to insulin, which was approved back in 2005.
“FDA recognizes there is an unmet need for patients with T1DM to help achieve glycemic goals and improve quality of life and treatment satisfaction,” they wrote in briefing documents, but were then quick to point out safety concerns with adding adjunctive therapies.
“During development of pramlintide … an increased risk of severe hypoglycemia in combination with insulin relative to insulin alone was observed,” FDA staff wrote in their briefing material. “Further assessment identified a patient population and method of use that lowered the risk of severe hypoglycemia to an incidence comparable to insulin alone, providing a favorable benefit risk profile, and supporting an approval decision.”
A similar situation could play out with the convening of the advisory panel, who will review the benefit-risk profile of sotagliflozin from its clinical trial data, most notably from the phase III inTandem3 study.
In the program, which included three safety and efficacy studies, all reported superiority versus placebo for achieving HbA1c reduction at both the 200-mg and 400-mg doses after 24 weeks. At the 200-mg dose, the drop in HbA1c ranged from 0.3% to 0.35%, while those on the 400-mg dose saw a reduction of 0.35% to 0.45%. Significantly more participants at both doses achieved the primary endpoint of HbA1c under 7% at week 24 without severe hypoglycemia or DKA.
In all studies, there was also a significant weight benefit seen with both doses, although was greater at the 400-mg dose. This additional benefit could help tip the scales in favor for the drug as the panel assessed the benefit/risk profile.
FDA staff raised few questions about the agent’s efficacy in the briefing document, but they pointed to a markedly increased risk for DKA in the clinical trial data — specifically, an 8-fold increase relative to placebo (95% CI 3.1-19.9) and a number needed to harm of 26 patient-years of drug exposure to yield one DKA event. Episodes were more common at the 400-mg dose. The briefing document called this safety signal “notable and concerning.”
When the pivotal trial data were presented in September 2017, lead author Satish K. Garg, MD, of the University of Colorado Denver, told MedPage Today “there may be some post-marketing studies if and when the drug is approved by the FDA.” The agency is currently considering revisions to its policy to require cardiovascular outcomes trials for diabetes drugs, but in the meantime, one would presumably be mandated for sotagliflozin. The DKA issue could also be seen as needing a specific post-marketing study.
At Thursday’s meeting, panel members will vote on whether the available data presented by Sanofi suggests the benefits of oral, once-daily sotagliflozin, as adjunct to insulin outweigh the risks. If in favor, members may recommend labeling restrictions, whether additional studies are needed after approval and which of the proposed doses are recommended for approval.
While the FDA is not required to abide by the advisory committee’s recommendation, it typically does.
For the type 1 diabetes indication, the FDA has a decision deadline of March 22. Sanofi is also aiming at some point to win approval for sotagliflozin in type 2 diabetes. More than a dozen trials in the latter indication are planned or underway, according to Clinicaltrials.gov listings.

NeuroMetrix Quell gains at CES


NeuroMetrix (Nasdaq: NURO) today announced a successful CES 2019, the world’s largest and most influential technology event, which took place January 8 – 11 in Las Vegas.  Highlights of the week-long event include:
Quell® 2.0 was named a CES® 2019 Innovation Awards Honoree in the Fitness, Sports and Biotech product category, recognizing the company’s innovative application of AI + neurotechnology to manage chronic pain.
For a  recap of Quell at CES and a preview of coming innovation, visit Quell on YouTube.

Aileron Enrolls Phase 2a Expansion Cohort for Pfizer IBRANCE Combo


Aileron Therapeutics (NASDAQ:ALRN), the clinical-stage leader in the field of stabilized, cell-permeating peptides to treat cancer and other diseases, today announced that the first patient has been enrolled in a Phase 2a expansion cohort intended to assess preliminary activity and safety of ALRN-6924 in combination with Pfizer’s palbociclib, also known as IBRANCE®, in cancer patients with MDM2-amplified solid tumors.
“We are excited to launch this Phase 2a expansion cohort, expanding on our ALRN-6924 clinical trial combination program,” said Vojo Vukovic, MD, PhD, and Chief Medical Officer of Aileron. “ALRN-6924 and palbociclib address the MDM2 (p53) and CDK4 (Rb) pathways, which have interdependent roles in cancer biology, and preclinical results recently presented by Aileron show synergistic activity for ALRN-6924 and palbociclib in cancer cells and animal models1.  Furthermore, the MDM2 and CDK4 genes are co-amplified in many cancers.  We are using this biomarker-driven approach to select cancer patients with tumors exhibiting this genetic profile.  We are hopeful that a dual MDM2 and CDK4 inhibition strategy will benefit these patients.”
This Phase 2a expansion cohort is intended to assess the preliminary activity and safety of ALRN-6924 in combination with palbociclib. The trial is expected to enroll up to 25 MDM2-amplified cancer patients with advanced solid tumors that test positive for the presence of wild-type p53. The objectives of the trial include determining the overall response rate and other parameters of efficacy, as well as evaluating the safety and tolerability of the combination.  Aileron expects to present preliminary data in the second half of 2019 at a medical conference.
ALRN-6924 is a first-in-class, stabilized cell-permeating peptide that mimics the p53 tumor suppressor protein to disrupt the interaction with both p53-inhibitors, MDMX and MDM2.  For p53 wild-type tumors, ALRN-6924 can restore p53-dependent tumor suppression.  Palbociclib is an oral inhibitor of cell cycle check-point regulators CDK4/6.  The MDM2 and CDK4 genes are located on chromosome 12 in close proximity to each other, with CDK4 very frequently co-amplified in patients with MDM2-amplified cancers who will be enrolled in this trial.  This co-amplification provides the mechanistic rationale and suggests a potential patient benefit from combining the MDM2/MDMX-inhibitor, ALRN-6924, with the CDK4/6-inhibitor, palbociclib2.
1. 2018 San Antonio Breast Cancer Symposium abstract #1129, “The Stapled Peptide ALRN-6924, a Dual Inhibitor of MDMX and MDM2, and the CDK4/6 Inhibitors Palbociclib, Ribociclib, or Abemaciclib Synergistically Enhance Each Other’s in vitro and in vivo Anticancer Activity”
2. Laroche-Clary et al. Journal of Hematology & Oncology (2017) 10:123 DOI 10.1186/s13045-017-0482-3

Facebook’s ’10 Year Challenge’ just a harmless meme—right?


If you use social media, you’ve probably noticed a trend across Facebook, Instagram, and Twitter of people posting their then-and-now profile pictures, mostly from 10 years ago and this year.
Instead of joining in, I posted the following semi-sarcastic tweet:
My flippant tweet began to pick up traction. My intent wasn’t to claim that the meme is inherently dangerous. But I knew the facial recognition scenario was broadly plausible and indicative of a trend that people should be aware of. It’s worth considering the depth and breadth of the personal data we share without reservations.
Of those who were critical of my thesis, many argued that the pictures were already available anyway. The most common rebuttal was: “That data is already available. Facebook’s already got all the profile pictures.”
Of course they do. In various versions of the meme, people were instructed to post their first profile picture alongside their current profile picture, or a picture from 10 years ago alongside their current profile picture. So, yes: these profile pictures exist, they’ve got upload time stamps, many people have a lot of them, and for the most part they’re publicly accessible.
But let’s play out this idea.
Imagine that you wanted to train a facial recognition algorithm on age-related characteristics, and, more specifically, on age progression (e.g. how people are likely to look as they get older). Ideally, you’d want a broad and rigorous data set with lots of people’s pictures. It would help if you knew they were taken a fixed number of years apart—say, 10 years.
Sure, you could mine Facebook for profile pictures and look at posting dates or EXIF data. But that whole set of profile pictures could end up generating a lot of useless noise. People don’t reliably upload pictures in chronological order, and it’s not uncommon for users to post pictures of something other than themselves as a profile picture. A quick glance through my Facebook friends’ profile pictures shows a friend’s dog who just died, several cartoons, word images, abstract patterns, and more.
In other words, it would help if you had a clean, simple, helpfully-labeled set of then-and-now photos.
What’s more, for the profile pictures on Facebook, the photo posting date wouldn’t necessarily match the date that the picture was taken. Even the EXIF metadata on the photo wouldn’t always be reliable for assessing that date.
Why? People could have scanned offline photos. They might have uploaded pictures multiple times over years. Some people resort to uploading screenshots of pictures found elsewhere online. Some platforms strip EXIF data for privacy.
Through the Facebook meme, most people have been helpfully adding that context back in (e.g. “me in 2008, and me in 2018”), as well as further info, in many cases, about where and how the pic was taken (e.g. “2008 at University of Whatever, taken by Joe; 2018 visiting New City for this year’s such-and-such event”).
In other words, thanks to this meme, there’s now a very large data set of carefully curated photos of people from roughly 10 years ago and now.
Of course, not all the dismissive comments in my Twitter mentions were about the pictures being already available; some critics noted that there was too much crap data to be usable. But data researchers and scientists know how to account for this. As with hashtags that go viral, you can generally place more trust in the validity of data earlier on in the trend or campaign— before people begin to participate ironically or attempt to hijack the hashtag for irrelevant purposes.
As for bogus pictures, image recognition algorithms are plenty sophisticated enough to pick out a human face. If you uploaded an image of a cat 10 years ago and now—as one of my friends did, adorably—that particular sample would be easy to throw out.
What’s more, even if this particular meme isn’t a case of social engineering, the past few years have been rife with examples of social games and memes designed to extract and collect data. Just think of the mass data extraction of more than 70 million American Facebook users performed by Cambridge Analytica.
Is it bad that someone could use your Facebook photos to train a facial recognition algorithm? Not necessarily; in a way, it’s inevitable. Still, the broader takeaway here is that we need to approach our interactions with technology mindful of the data we generate and how it can be used at scale. I’ll offer three plausible use cases for facial recognition: one respectable, one mundane, and one risky.
The benign scenario: facial recognition technology, specifically age progression capability, could help with finding missing kids. Last year police in New Delhi, India reported tracking down nearly 3,000 missing kids in just four days using facial recognition technology. If the kids had been missing a while, they would likely look a little different from the last known photo of them, so a reliable age progression algorithm could be genuinely helpful here.
Facial recognition’s potential is mostly mundane: age recognition is probably most useful for targeted advertising. Ad displays that incorporate cameras or sensors and can adapt their messaging for age-group demographics (as well as other visually recognizable characteristics and discernible contexts) will likely be commonplace before very long. That application isn’t very exciting, but stands to make advertising more relevant. But as that data flows downstream and becomes enmeshed with our location tracking, response and purchase behavior, and other signals, it could bring about some genuinely creepy interactions.
Like most emerging technology, there’s a chance of fraught consequences. Age progression could someday factor into insurance assessment and healthcare. For example, if you seem to be aging faster than your cohorts, perhaps you’re not a very good insurance risk. You may pay more or be denied coverage.
After Amazon introduced real-time facial recognition services in late 2016, they began selling those services to law enforcement and government agencies, such as the police departments in Orlando and Washington County, Oregon. But the technology raises major privacy concerns; the police could use the technology not only to track people who are suspected of having committed crimes, but also people who are not committing crimes, such as protestors and others whom the police deem a nuisance.
The American Civil Liberties Union asked Amazon to stop selling this service. So did a portion of Amazon’s shareholders and employees, who asked Amazon to halt the service, citing concerns for the company’s valuation and reputation.
It’s tough to overstate the fullness of how technology stands to impact humanity. The opportunity exists for us to make it better, but to do that, we also must to recognize some of the ways in which it can get worse. Once we understand the issues, it’s up to all of us to weigh in.
So is this such a big deal? Are bad things going to happen because you posted some already-public profile pictures to your wall? Is it dangerous to train facial recognition algorithms for age progression and age recognition? Not exactly.
Regardless of the origin or intent behind this meme, we must all become savvier about the data we create and share, the access we grant to it, and the implications for its use. If the context was a game that explicitly stated that it was collecting pairs of then-and-now photos for age progression research, you could choose to participate with an awareness of who was supposed to have access to the photos and for what purpose.
The broader message, removed from the specifics of any one meme or even any one social platform, is that humans are the richest data sources for most of the technology emerging in the world. We should know this, and proceed with due diligence and sophistication.
Humans are the connective link between the physical and digital worlds. Human interactions are the majority of what makes the Internet of Things interesting. Our data is the fuel that makes businesses smarter and more profitable.
We should demand that businesses treat our data with due respect, by all means. But we also need to treat our own data with respect.

Teva receives FDA approval for generic version of Sabril


The FDA announced that it approved the first generic version of Sabril tablets, Teva Pharmaceutical’s vigabatrin, for treating complex partial seizures, also called focal seizures, as an adjunctive therapy in patients 10 years and older who have responded inadequately to several alternative treatments. Labeling for vigabatrin tablets includes a boxed warning for permanent vision loss.

Dragonfly preps clinical takeoff, inking a collaboration pact with MD Anderson


Having lined up two marquee partners — Celgene and Merck — and gained recognition for its natural killer platform technology, Dragonfly Therapeutics is ready to roll with some of its own programs.

The biotech upstart is dedicating $10 million to launch its first clinical studies, which will be conducted in collaboration with the MD Anderson Cancer Center in Houston and evaluated in both solid tumor and hematological cancers.

Dragonfly’s platform centers on TriNKETs (Tri-specific, NK cell Engager Therapies), a binding mechanism that links natural killer cells to the proteins found on the surface of cancer cells. And that kind of approach, they believe, can create a potent next-gen immunotherapy approach — potentially a big deal for a company like Merck or Celgene.

NK cells have become a popular target in cancer R&D over the last few years as I/O has swelled in importance, with Patrick Soon-Shiong’s extensive biotech organization working on a similar idea. But Tyler Jacks, director of the David H. Koch Institute for Integrative Cancer Research, and Berkeley’s David Raulet believed they had something new and vital that compelled them to start Dragonfly with entrepreneur and filmmaker Bill Haney.
Haney, the CEO, has built up a team — 40-strong at last count — without traveling down the usual venture road, relying instead on seed money from some of his well-heeled friends and “amplification capital” from partners.

The new partners haven’t disclosed which programs they are taking to the clinic or which indications they will begin with, but they did suggest that John Heymach, MD Anderson’s chair of thoracic head & neck medical oncology, will be involved.

KYOCERA to Purchase Major Assets of U.S.-based Renovis Surgical Technologies


Kyocera Corporation (TOKYO:6971) today announced that its U.S. headquarters, Kyocera International, Inc., has finalized an agreement with Renovis Surgical Technologies, Inc. (herein “Renovis”), a U.S.-based orthopedic and spinal medical device manufacturer and developer, to purchase the major assets of Renovis’ business operations relating to artificial joint and spinal products.
The assets will be transferred into a new California-based company wholly owned by Kyocera International, Inc., to be named Kyocera Medical Technologies, Inc., in March 2019.
Kyocera currently manufactures medical products, including artificial joints and dental implants, primarily for the Japanese market. The U.S. orthopedic implant market totals approximately US$20 billion, representing about 60% of the global market, with continued growth expected.* To grow internationally, Kyocera obtained U.S. FDA 510(k) clearance for its artificial hip joints and began selling them in the U.S. in 2017.
Renovis, founded in 2009, is a market leader in 3D-printed implants, and has developed a broad portfolio of innovative products for the U.S. market, serving the needs of orthopedic, neurological, and trauma surgeons. Renovis has experienced steady growth since its inception and has continued to develop and commercialize a wide range of products manufactured using its Tesera Trabecular Technology, a proprietary implant surface structure made using additive manufacturing. In addition, Renovis has developed an advanced bearing surface technology for joint replacement products. Kyocera’s global strength and expansive research and development capabilities will accelerate the growth of these valuable technologies.
Kyocera plans to expand its U.S. medical equipment business through this asset purchase. The newly established company will develop high value-added products that improve patient health and quality of life through synergies between Kyocera’s proprietary technologies and those purchased from Renovis.
* Based on third-party research as of December 2018
Overview of Renovis
Company nameRenovis Surgical Technologies, Inc.
Location
Headquarters: Redlands, California, U.S.A.
Development center: Austin, Texas, U.S.A.
President and CEOJohn C. Steinmann
Employees44 (as of December 31, 2018)