The Wild West of World Lung Cancer #WCLC24
This Sunday, September 8, the HARMONI-2 Trial data will be presented at World Lung by Akeso, a China based pharmaceutical company. This will be the...
3 min read
Brian Shields
:
Feb 11, 2025 8:19:45 AM
The release of the HARMONi-A and HARMONi-2 clinical trial data has led to significant excitement in the world of oncology and also finance. Both clinical trials focus on Chinese firm Akeso Biopharma's ivonescimab for the treatment of non-small cell lung cancer. Akeso's US partner Summit's stock has gone to the moon on the heels of these data releases at #ASCO24 and #WCLC24 Lung Cancer Sessions.
Many of the top key opinion leader in lung cancer across the globe have engaged in discussions regarding the releases of these data sets. Does the newly reported mechanism of action data answer all the questions regarding the ivonescimab mystery?
Recently, Minhua Chua released a tweetorial discussing the preprint by Akeso Biopharma of the Mechanism of Action of ivonescimab.
1/🇨🇳 #Akeso Biopharma has published a preprint study on MoA of #ivonescimab (#AK112) in iScience. https://t.co/ukHzuz7EDW
— Minhua Chu (@chuminhua432) February 10, 2025
Using the KOL Pulse AI Chatbot for HARMONi-A, I engaged in a chat to compare the tweetorial data to the KOL concerns about the HARMONi-A data set.
Here's how I started my discussion:
🙍PROMPT: please explain the harmoni-a trial results in the context of the newly reported mechanism of action.
🤖KOL Pulse AI Response:
Based on the tweets about the HARMONi-A trial results, here are the key findings and mechanism insights:
Trial Results:
Mechanism & Design:
Context:
Sources:
Wow, that was pretty good!
But I want more specific data. So I pressed for more specific feedback...
🙍PROMPT: please update your response with any doubts from physicians through their tweets
🤖KOL Pulse AI Response:
Here are the key physician doubts and discussions about HARMONi-A from the tweets:
Dr. Tejas Patil (@TejasPatilMD):
Dr. Charu Aggarwal (@CharuAggarwalMD):
Important data. I do worry about (lack of) CNS penetration
— Charu Aggarwal, MD, MPH, FASCO (@CharuAggarwalMD) May 31, 2024
Dr. Nathan Pennell (@n8pennell):
Dr. Fernand Bteich (@fernandbteich):
Dr. Jordi Remon (@JordiRemon):
For pts w EGFRm with Osi-Progression NSCLC not homogeneous benefit in PFS with🩸antiangiogenic + io+CT vs CT and no mature OS benefit
— Jordi Remon (@JordiRemon) May 31, 2024
Ph 3 HARMONI-3 trial (ivonescimab (bispecific VEGF/PD1 Ab)+ CT vs CT is pending. Data in Chinese pts looks similar to previous (HARMONI-A) #ASCO24 pic.twitter.com/ZkV9lJR6OF
Check out the demo video of KOL Pulse AI in action:
The integration of AI with verified scientific data sources enables comprehensive tracking of emerging clinical trial results. Here's how to leverage this tool effectively:
Real-Time Data Access
An exclamation point on HARMONi-A results. Looking forward to discussing with folks in the lung cancer (& broader oncology) community at #ASCO24.#LCSM #OncoAlert https://t.co/ebsKrHJzw3
— H. Jack West, MD, FASCO (@JackWestMD) May 30, 2024
Key Data Points Tracking
HARMONi-A: Large PFS 0.46 benefit and across subgroups including CNS and genotype. Strong OS signal despite immaturity (52% events). TRAEs discontinuation 5.6%. Mostly heme tox. #ASCO24 pic.twitter.com/DvG7N1s1Y5
— Sanjay Popat (@DrSanjayPopat) May 31, 2024
Expert Commentary Integration
4/Conversely, the presence of PD-1 enhances Ivonescimab's binding affinity to VEGF by more than fourfold, thereby significantly strengthening its inhibition of the VEGFR signaling pathway. pic.twitter.com/QN4bQIeN8J
— Minhua Chu (@chuminhua432) February 10, 2025
Data Verification
I honestly find the HARMONI-A data confusing.
— Tejas Patil (@TejasPatilMD) May 25, 2024
➡️ KEYNOTE-789: no benefit w/ post-osi pembro
➡️ ORIENT-31: sintilimab+bev biosimilar improved PFS post-osi, not OS
➡️ ETOP-BOOSTER: no bev benefit w/ 2L osi
But PD1/VEGF bispecific w/ PFS benefit?@EGFRResisters @lcsmchat #asco24 https://t.co/R4rcyt0hYu
The KOL Pulse AI tool supports reliable scientific communication by:
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