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MedNess: bite-size biopharma and medtech news

6th October, 2021

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HIGHLIGHTS
Onco-I-Analyse
Merck KGgA and GSK scrap bintrafusp alfa clinical development agreement
On 30th September, Merck and GSK mutually agreed to axe their collaboration on bintrafusp alfa’s (anti-TGF-β x PD-L1 bispecific) clinical development.
Details: The decision, which came into effect on 30th September, was based on a series of failures shown in bintrafusp alfa clinical trials and the lacklustre data generated, particularly in the Phase 3
INTR@PID Lung 037 study evaluating bintrafusp alfa versus pembrolizumab as frontline treatment for PD-L1+ NSCLC patients. In January 2021, trial failed to replicate encouraging data observed in other studies and was discontinued after IDMC’s recommendation.
Therefore, Merck did not receive any milestone payments from GSK and the latter is not liable for any future milestone obligations. In 2019, Merck and GSK had
announced a global alliance, worth $4.2 billion, to co-develop and co-commercialize the asset in various oncology indications. The deal triggered an upfront payment of nearly $400m to Merck.
In August 2021, the asset failed in its third trial as 1L treatment for BTC patients in the phase 2/3
INTR@PID BTC 055. Earlier, in Jan and Mar, bintrafusp alfa showed disappointing results in the Phase 3 INTR@PID Lung 037 and Phase 2 INTR@PID BTC 047 investigating it as a 2nd line asset in BTC, respectively.
Implications: The decision is a major blow, especially for GSK, which looked to strengthen its position in the oncology business. Merck will terminate several remaining bintrafusp trials in lung cancer, breast cancer and urothelial cancer except one trial in cervical cancer. The INTR@PID clinical program is expected to deepen Merck’s understanding of TGF-β and help guide future development of therapies targeting this pathway.
Collated by : Shilpa Rawal, PhD
Drug Approvals
FDA Expands ERBITUX® (cetuximab) Label with Combination of BRAFTOVI® (encorafenib) for the Treatment of BRAF V600E Mutation+ve mCRC after Prior Therapy
"The BEACON study showed that the combination of ERBITUX and encorafenib significantly improved overall survival in patients with metastatic colorectal cancer with a BRAF V600E mutation – a subtype that typically has worse outcomes compared to those without the mutation," said David Hyman, M.D., chief medical officer, oncology at Lilly. "We are grateful to Pfizer for their collaboration as we've worked to bring this treatment regimen to patients."
Japan’s MHLW Approves PADCEV® (enfortumab vedotin) for Advanced Urothelial Cancer
“Unfortunately, advanced urothelial cancer has a relatively poor prognosis and can be challenging to treat with currently available therapies,” said Andrew Krivoshik, M.D., Ph.D., Senior Vice President and Head of Development Therapeutic Areas, Astellas. “The MHLW’s review of enfortumab vedotin in just six months, supported by overall survival data from a pivotal Phase 3 clinical trial, reflects the seriousness of this condition and the potential benefit of enfortumab vedotin for patients in Japan.”
Regulatory News

FDA grants Priority Review for investigational targeted radioligand therapy 177Lu-PSMA-617 for patients with mCRPC

  • FDA accepted and granted Priority Review to the NDA for 177Lu-PSMA-617, an investigational targeted radioligand therapy for the treatment of metastatic castration-resistant prostate cancer (mCRPC) in the post androgen receptor pathway inhibition, post taxane-based chemotherapy setting.
  • With Priority Review, the Prescription Drug User Fee Act (PDUFA) date is anticipated in the first half of 2022.
  • Priority Review is based on positive data from the pivotal, Ph 3 VISION study showing 177Lu-PSMA-617 + standard of care (SOC), significantly improved OS and rPFS for men with progressive PSMA-positive mCRPC compared to SOC alone.
  • Two additional studies with 177Lu-PSMA-617 in earlier lines of treatment for metastatic prostate cancer are ongoing, investigating clinical utility in the pre-taxane setting (PSMAfore) and in the metastatic hormone-sensitive setting (PSMAddition).
  • The FDA previously granted Breakthrough Therapy designation for 177Lu-PSMA-617 for the treatment of mCRPC. Data from the VISION study were published in The New England Journal of Medicine (NEJM)2. Novartis is also evaluating additional opportunities to investigate 177Lu-PSMA-617 in earlier stages of prostate cancer.
FDA Accepts Libtayo® (cemiplimab-rwlc) for Priority Review for Advanced Cervical Cancer; PDUFA: Jan 2022
  • FDA has accepted for priority review the sBLA for PD-1 inhibitor Libtayo® (cemiplimab-rwlc) to treat patients with recurrent or metastatic cervical cancer whose disease progressed on or after chemotherapy.
  • The target action date for the FDA decision is January 30, 2022. The sBLA is also being reviewed under the FDA's Project Orbis initiative, which will allow for concurrent review by participating health authorities in Australia, Brazil, Canada and Switzerland.
  • Additional global regulatory submissions are planned, including in the European Union (EU) by the end of 2021.
  • The sBLA is supported by results from a Ph 3 trial that enrolled patients irrespective of PD-L1 expression status and is being conducted with The GOG Foundation, Inc. (GOG), the European Network for Gynaecological Oncological Trial groups (ENGOT) and NRG Oncology-Japan.
  • Detailed results were first presented as part of an ESMO Virtual Plenary in May 2021.
Click here for more Regulatory News
Trial Results
KEYTRUDA® (pembrolizumab) Met Primary Endpoint of OS in Patients with Advanced HCC Previously Treated with Sorafenib
“Frequently diagnosed at an advanced stage, hepatocellular carcinoma has one of the highest mortality rates of solid cancers. Despite recent progress, there remains an unmet need for anti-PD-1 monotherapy after sorafenib, where KEYTRUDA is an established treatment option for patients,” said Dr. Scot Ebbinghaus, vice president, clinical research, Merck Research Laboratories. “It is very encouraging that KEYTRUDA significantly improved overall survival in this study, and we look forward to engaging with regulatory authorities as quickly as possible.”
Click here for more Trial Results
Trial/Program Status
Last Patient Enrolled in Ph 2 MOUNTAINEER Trial Evaluating TUKYSA® (Tucatinib) Regimen in HER2-Positive Metastatic Colorectal Cancer
“Completing enrollment in the MOUNTAINEER trial is an important step toward potentially bringing this therapy to patients with HER2-positive metastatic colorectal cancer,” said Roger D. Dansey, M.D., Chief Medical Officer, Seagen. “We previously expanded the size of this trial, with the intention of supporting registration under accelerated approval regulations in the United States. We look forward to receiving the trial results to potentially address a significant unmet medical need for patients.”
Click here for more Trial Statuses
Collated by : Richa Tewari, PhD 
MedNess HealthIT
Deep learning enhances cancer diagnostic tools
Optical coherence tomography, a clinically common procedure that is used to generate high-resolution cross-sectional images of specific regions in the human body. The scientists at Beckham Institute Biophotonics Imaging Laboratory have used a software tool to enhance the capabilities of the hardware-based OCT into PS-OCT (Polarization sensitive mode) without the added cost and complexity. According to Yi “Edwin” Sun, PhD candidate in electrical and computer engineering at the University of Illinois Urbana-Champaign and member of the Beckman Institute’s Biophotonics Imaging Laboratory: “By adding a deep learning model on top of an OCT system, suddenly we arrive at PS-OCT capabilities without the traditional added hardware.”
OCT alone can detect the nature of tissues through a non-invasive use of light waves, while PS-OCT can detect abnormalities in microstructural features, e.g., collagen fiber orientations: a discernible change undergone in cancerous vs. normal tissue. Sun adds: ““Deep learning enabled a more advanced method of picking up subtle features in images, which can be used for more accurate segmentation and classification. It also allows the imaging tool to use multiple layers to pick up spatial features in an image.” With the use of historical data run through predictive analysis tools, Deep learning in PS-OCT can provide a commercial and clinical tool to accurately diagnose cancer.
New tool to detect anti-cancer immunity through AI
The researchers at UT Southwestern Medical Center and the University of Texas MD Anderson Cancer Center have developed a deep-learning based algorithm named pMTnet. It is capable of using data from known binding or nonbinding combinations of three different components: neoantigens, major histocompatibility complexes (MHCs), and the T cell receptors (TCRs). By combining experimental data from past 30 studies, they then identified binding or nonbinding neoantigen T cell-receptor pairs, which is indicative of the immune response developed in the patient’s body as an aftermath of cancer immunotherapy.
Combining the insights on neoantigens cataloged in The Cancer Genome Atlas to the data from pMTnet, the researchers have concluded that Neoantigens generally trigger a stronger immune response compared to tumor-associated antigens. The study finding was predictive of which patients had better responses to immune checkpoint blockade therapies and had better overall survival rates. According to the corresponding author of the study Dr. Alexandre Reuben: “As an immunologist, the most significant hurdle currently facing immunotherapy is the ability to determine which antigens are recognized by which T cells in order to leverage these pairings for therapeutic purposes.”
Collated by: Debarati Banik
Editors' Desk
Richa Tewari, PhD
Oncology News
Shilpa Rawal, PhD
Onco I-Analyse
Arundithi Ananthanarayanan
MedNess Reviews
Debarati Banik
HealthIT
Darpan Chakraborty
Social Media Manager
IP & BioPharma News
 
Nisha Peter, PhD
Managing Editor


 
Rinki Saha
BioPharma News
Managing Editor
Shalini Roy Choudhury
Genes and Therapy
Managing Editor
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The sponsors do not have any influence on the nature or kind of the news/analysis reported in MedNess. The views and opinions expressed in this article are those of the authors and do not necessarily reflect the official policy or position of Medness. Examples of analysis performed within this article are only examples. They should not be utilized in real-world analytic products as they are based only on very limited and dated open source information. Assumptions made within the analysis are not reflective of the position of anyone volunteering or working for Medness. This blog is strictly for news and information. It does not provide medical advice, diagnosis or treatment nor investment suggestions. This content is not intended to be a substitute for professional medical advice, diagnosis, or treatment. Always seek the advice of your physician or another qualified health provider with any questions you may have regarding a medical condition. Never disregard professional medical advice or delay in seeking it because of something you have read on this website.
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Content Editors: Richa Tewari , Esha SehanobishRinki Saha ,  Shilpa Rawal, PhD ,  Debarati Banik  , Divyaanka Iyer , Arundithi Ananthanarayanan and Abhinav Dey 
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