The ASCO Post

The ASCO Post

@ascopost.bsky.social

News and views from the world of clinical oncology and hematology

1.5K followers965 following372 posts

💻 ASCO AI: For healthcare AI, technical performance may not translate into better patient care. Among 34 authorized devices linked to prospective trials, 82.4% of trials relied on surrogate measures as endpoints rather than patient-centered outcomes. 🔗 https://ow.ly/h1Nx50ZPCGK

🧬 Early- and average-onset metastatic Colorectal Cancer shared a similar genomic backbone, but MYC alterations were more frequent in early-onset disease, and several other alterations increased with younger age. 🔹 Seung Tae Kim, MD, PhD 🔗 https://ow.ly/kfnc50ZOsAs

🫀Could mammograms offer insights beyond Breast Cancer? An AI model showed potential to identify hypertension, ischemic heart disease, and cerebrovascular accident without additional imaging. 🗣️Presented by Viana Copeland, MBBS at #ESCCongress 🔗 https://ow.ly/Qeme50ZLByx

🩸Can blood-based screening detect early colorectal cancer? At ASCO Breakthrough, researchers reported combining cfDNA fragmentomics with methylation markers improved sensitivity for precancerous lesions. 🗣️ Presented by Thi Tuong Vi Van, BSc https://ow.ly/FjqT50ZHLbt

🥼 High patient volumes, limited resources, workforce shortages, and academic pressures can compound burnout for mid-career oncologists in LMIC regions. Dr. Muhammad Rafiqul Islam provides navigation strategies in this commentary. Learn more here 👉 https://ow.ly/Nb2g50ZHhRp

🖥️ ASCO AI: HemaGuide, a locally deployable LLM agent, turns clinical documentation into treatment recommendations with traceable rationales. Across external validation, it achieved 81.8% concordance with tumor board decisions in hematologic malignancies. https://ow.ly/q8mE50ZHF5K

🖥️ #ASCOAI: Clinical records, imaging, pathology, and molecular profiles generate vast amounts of oncology data, but much remains fragmented. Arsela Prelaj, MD, PhD, discusses how the “Leave No Data Behind” paradigm models could help bring these data together. 🔗 https://ow.ly/6IMw50ZGG9O

💉#ASCOAI: A phase III trial has reported positive results for an individualized neoantigen therapy combo designed with a “deterministic machine learning bioinformatic algorithm.” Intismeran + pembrolizumab improved RFS and DMFS in resected melanoma. 🔗 https://ow.ly/1nVt50ZHL7W

🖥️ One model, 348 diseases. Researchers developed a Bayesian machine learning framework combining longitudinal EHR and genetic data to predict future disease risk and uncover patterns of disease co-occurrence. Read the full article ➡️ https://ow.ly/FzUx50ZEWsA

📱 A technology-enabled education program nearly tripled skinc ancer screening among HCT survivors, who face elevated long-term risk. ➡️ Outreach to survivors and PCPs could close gaps in cancer survivorship care 🔸Saro Armenian, DO, MPH | JNCCN 🔗 https://ow.ly/Ck4I50Zzxwn

🧬 Decade-long NIH-funded research has created 665 patient-derived tumor models for 25 cancer types. The Human Cancer Models Initiative links models with molecular, clinical data to help researchers study cancer biology & advance precision oncology. 🔗 https://ow.ly/GzxK50Zzxth

🔬Phase 3️⃣ KEYNOTE-B15/EV-304 trial: Perioperative enfortumab vedotin + pembrolizumab improved event-free survival, overall survival, and pathologic complete response vs cisplatin + gemcitabine in muscle-invasive bladder cancer. 🔹 Matthew D. Galsky, MD 🔗 https://ow.ly/ePbl50ZwLIT

💉High-dose chemotherapy then autologous stem cell transplantation improved OS vs nonmyeloablative consolidation in patients with primary CNS lymphoma who responded to MATRix induction. ➡️ Results from phase III MATRix/IELSG43 trial 🔹 Gerald Illerhaus, MD https://ow.ly/mKfM50ZwAiK

🌎 Emerging evidence suggests air pollution, tobacco smoke, and pesticide exposure may affect long-term outcomes for childhood cancer survivors. In this interview, Omar Shakeel, MD, details why environmental health should be part of survivorship care. 🔗 https://ow.ly/7UAi50ZqNCs

🖥️ ASCO AI: Machine learning ➕ 3D bioprinting ➕ label-free imaging A new protocol enables high-throughput drug response profiling in tumor organoids, helping identify treatment response patterns that could support precision oncology. Learn more ➡️ https://ow.ly/YGhM50ZqcS3

🖥️ #ASCOAI: New legislation aims to accelerate pediatric cancer research through AI. The AI for Kids With Cancer Act would strengthen data sharing, expand clinical trial access, and support AI innovation to improve outcomes for children with cancer. 🔗 https://ow.ly/h8hy50ZohKf