Henlius Novel Anti PD-L1/TIGIT Bispecific Antibody Received Clinical Trial Approval in Australia

On November 29, 2021 Shanghai Henlius Biotech, Inc. (2696.HK) reported that the filing of a clinical trial for HLX301, a Recombinant Humanized Anti-PDL1 and Anti-TIGIT Bispecific Antibody, in Patients with locally advanced or metastatic solid tumours has been approved by the Bellberry Human Research Ethics Committee ("HREC"), and Clinical Trial Notification ("CTN") has been acknowledged by the Therapeutic Goods Administration ("TGA"), Australia (Press release, Shanghai Henlius Biotech, NOV 29, 2021, View Source [SID1234596218]). The Phase 1 clinical study in Australia is intended to be initiated soon. No bispecific antibody targeting PD-1/PD-L1 and TIGIT has been approved for marketing globally yet.

Schedule your 30 min Free 1stOncology Demo!
Discover why more than 1,500 members use 1stOncology™ to excel in:

Early/Late Stage Pipeline Development - Target Scouting - Clinical Biomarkers - Indication Selection & Expansion - BD&L Contacts - Conference Reports - Combinatorial Drug Settings - Companion Diagnostics - Drug Repositioning - First-in-class Analysis - Competitive Analysis - Deals & Licensing

                  Schedule Your 30 min Free Demo!

Immunotherapies targeting immune checkpoint protein interactions between ligands and receptors offer a novel way to attack tumour cells in recent years. PD-1/PD-L1 plays a vital role in immune suppression; PD-1 and PD-L1 inhibitors show significant effectiveness in cancer treatment. TIGIT (T cell immunoreceptor with immunoglobulin and ITIM domains) is an inhibitory receptor, mainly expressed on natural killer (NK) cells and activated T cells and T regulatory cells. TIGIT binds to the major ligand CD155 (poliovirus receptor, PVR), mainly expressed on antigen-presenting cells (APC) or tumour cells, to down-regulate T cell and NK cell functions. TIGIT can inhibit innate and adaptive responses in various mechanisms and act as a "brake" like PD-1/PD-L1 does to stop T cells from attacking tumours. Several pre-clinical studies have indicated that TIGIT blockade may be effective against multiple advanced cancers, including NSCLC, GC, melanoma, and MM.

Independently developed by Henlius, HLX301 is an innovative anti-PD-L1 and anti-TIGIT bispecific antibody. Its TIGIT binding domain is derived from VHH fragments with high affinity and specificity to TIGIT, selected from the company’s synthetic humanized llama VHH library. Pre-clinical studies reported that HLX301 can simultaneously block both PD-1/PDL1 and TIGIT/PVR pathways, restore TCR signaling, inhibit tumour growth, and has good tolerance and safety. These results suggested that HLX301 is superior to blocking either pathway alone or anti-PD-L1 + anti-TIGIT combination therapy, paving the way for further clinical development.

Underpinned by the patient-centric strategy, Henlius achieves an overall layout of the immune checkpoint products of PD-1/L1, CTLA-4, LAG-3, BRAF, etc., proactively exploring immuno-oncology combination therapy, bispecific antibodies and ADC. Looking forward, Henlius will continue strengthening the in-licensing and collaboration on external innovative assets and bringing high-quality and affordable therapies to patients worldwide.

PROTHENA TO PARTICIPATE IN JMP SECURITIES HEMATOLOGY AND ONCOLOGY SUMMIT

On November 29, 2021 Prothena Corporation plc (NASDAQ:PRTA), a late-stage clinical biotechnology company with a robust pipeline of investigational therapeutics built on protein dysregulation expertise, reported that members of its senior management team will participate in a fireside chat at the JMP Securities Hematology and Oncology Summit on Monday December 6, 2021 at 1:20 PM ET (Press release, Prothena, NOV 29, 2021, View Source [SID1234596278]).

Schedule your 30 min Free 1stOncology Demo!
Discover why more than 1,500 members use 1stOncology™ to excel in:

Early/Late Stage Pipeline Development - Target Scouting - Clinical Biomarkers - Indication Selection & Expansion - BD&L Contacts - Conference Reports - Combinatorial Drug Settings - Companion Diagnostics - Drug Repositioning - First-in-class Analysis - Competitive Analysis - Deals & Licensing

                  Schedule Your 30 min Free Demo!

A live webcast of the fireside chat can be accessed through the investor relations section of the Company’s website at www.prothena.com. Following the live presentation, a replay of the webcast will be available on the Company’s website for at least 90 days following the presentation date.

Athenex Announces UK MHRA Validation of the Marketing Authorization Application for Oral Paclitaxel and Encequidar for Review

On November 29, 2021 Athenex, Inc., (NASDAQ: ATNX), a global biopharmaceutical company dedicated to the discovery, development, and commercialization of novel therapies for the treatment of cancer and related conditions, reported that its Marketing Authorization Application (MAA) for oral paclitaxel and encequidar (Oral Paclitaxel) for the treatment of advanced breast cancer has been validated by the United Kingdom’s (UK) Medicines and Healthcare products Regulatory Agency (MHRA) for review (Press release, Athenex, NOV 29, 2021, View Source [SID1234596183]). The application qualifies for a 150 day assessment by which a decision on approvability of the product will be provided.

Schedule your 30 min Free 1stOncology Demo!
Discover why more than 1,500 members use 1stOncology™ to excel in:

Early/Late Stage Pipeline Development - Target Scouting - Clinical Biomarkers - Indication Selection & Expansion - BD&L Contacts - Conference Reports - Combinatorial Drug Settings - Companion Diagnostics - Drug Repositioning - First-in-class Analysis - Competitive Analysis - Deals & Licensing

                  Schedule Your 30 min Free Demo!

"We have been working diligently on the MAA submission to bring Oral Paclitaxel to patients with advanced breast cancer," said Dr. Rudolf Kwan, Chief Medical Officer of Athenex. "This is a key milestone for Oral Paclitaxel, the most advanced program in our Orascovery platform. The MAA validation is an important step forward in the regulatory process and underscores our commitment to making Oral Paclitaxel available to patients."

A single pivotal Phase III study of Oral Paclitaxel (KX-ORAX-001) served as the basis of the MAA. The study was a randomized, controlled clinical trial designed to compare the safety and efficacy of Oral Paclitaxel monotherapy versus IV paclitaxel monotherapy in patients with metastatic breast cancer. As previously reported, the study successfully achieved its primary endpoint showing statistically significant improvement in overall response rate (ORR), along with a lower incidence of neuropathy, for Oral Paclitaxel compared to IV paclitaxel.

Ultragenyx to Present at Evercore 4th Annual HealthconX Conference

On November 29, 2021 Ultragenyx Pharmaceutical Inc. (NASDAQ: RARE), a biopharmaceutical company focused on the development and commercialization of novel therapies for serious rare and ultra-rare genetic diseases, reported that Emil D. Kakkis, M.D., Ph.D., the company’s Chief Executive Officer and President, will present at the Evercore ISI 4th Annual HealthconX Conference on December 1, 2021 at 12:10 PM ET.

Schedule your 30 min Free 1stOncology Demo!
Discover why more than 1,500 members use 1stOncology™ to excel in:

Early/Late Stage Pipeline Development - Target Scouting - Clinical Biomarkers - Indication Selection & Expansion - BD&L Contacts - Conference Reports - Combinatorial Drug Settings - Companion Diagnostics - Drug Repositioning - First-in-class Analysis - Competitive Analysis - Deals & Licensing

                  Schedule Your 30 min Free Demo!

The live and archived webcast of the presentation will be accessible from the company’s website at View Source The replay of the webcast will be available for 90 days.

Stanford University Partners with Kheiron Medical Technologies to Pioneer Use of AI in New Areas of Oncology

On November 29, 2021 Kheiron Medical Technologies reported its new collaboration with researchers at Stanford University to design functional proof-of-concept deep learning models to solve clinical problems in novel ways, starting with Non-Hodgkin’s Lymphoma (NHL) (Press release, Stanford University, NOV 29, 2021, View Source [SID1234596219]). With the collaboration, Kheiron, which has pioneered the development and deployment of artificial intelligence solutions to help radiologists detect breast cancer earlier, will leverage its existing technologies and expertise to expand into new imaging modalities and cancer types. This furthers its mission of transforming cancer diagnostics through the power of deep learning.

Schedule your 30 min Free 1stOncology Demo!
Discover why more than 1,500 members use 1stOncology™ to excel in:

Early/Late Stage Pipeline Development - Target Scouting - Clinical Biomarkers - Indication Selection & Expansion - BD&L Contacts - Conference Reports - Combinatorial Drug Settings - Companion Diagnostics - Drug Repositioning - First-in-class Analysis - Competitive Analysis - Deals & Licensing

                  Schedule Your 30 min Free Demo!

The collaboration aims to harness the collective expertise of the Stanford Center for Artificial Intelligence in Medicine & Imaging (AIMI Center) and Kheiron. This endeavour will be referred to as ‘The Kaplan Project’ in honor of Stanford’s former radiation oncology leader, Dr. Henry Kaplan, who in the 1960s developed some of the earliest treatments for lymphoma. The Kaplan Project aligns to the AIMI center’s mission, where interdisciplinary expertise is the foundation to help solve clinically important problems in medicine using AI.

"Projects like this one are so exciting because they capitalize on collaborations not only between clinicians and data scientists, but also between academics and industry," said Dr. Curt Langlotz, Director of the AIMI Center.

The purpose of staging lymphoma is to quantify the extent of disease, guide decisions around therapy, and provide a baseline prior to treatment. For oncological radiologists, the tasks of staging and evaluating post-treatment response on PET/CT scan images is manual and time-consuming.

The Kaplan Project will seek to apply Kheiron’s deep learning technology to FDG-PET/CT images of lymphoma patients to enhance two key radiologist outcomes: improving radiologist efficiency and improving radiologist accuracy.

"This groundbreaking project marks a new chapter in the application of AI to transform cancer diagnostics across the entire patient pathway," said Dr. Peter Kecskemethy, CEO of Kheiron. "Uniting new deep learning technologies with the clinical expertise of academic research institutions like Stanford will lead to the development of a completely new category of AI diagnostics and ultimately improve patient outcomes."

"Our project aims to improve a time-consuming and mostly qualitative process, the longitudinal assessment of whole-body FDG-PET/CT scans, using deep learning to augment imaging specialists," said Dr. Guido A. Davidzon, Clinical Associate Professor at Stanford University. "The overarching goal is to reduce the time needed to evaluate a PET scan, and by improving our throughput, ultimately increase patient access to a well-established noninvasive diagnostic imaging tool used by oncologists in the care of cancer."