AI and Cancer Research (Top Journals) ── 2026-10-03
New papers on cancer and AI from 26 medical, oncology and general journals with an impact factor of 10 or more, collected from the journals' own websites and selected by Jev (an AI that makes language judgements): is it original research, is AI central, which of 13 themes, and does it concern treatment or trials. Each entry shows the full original abstract.
Read by cancer type: Cancer biology（1） · Breast（0） · Lung（0） · Pancreatic（0） · Prostate（0） · ACC（0） · Brain（0） · Ovarian（0） · Endometrial（0） · Gastric（0） · Liver（0） · Kidney（0） · Bladder（0）
Cancer molecular biology and AI
Abstract Although genetic sequencing is routine in cancer care, translating a tumor’s complex mutation profile into actionable treatment decisions remains a central challenge. MutationProjector is pretrained on a large corpus of genomic alterations across more than 30,000 tumors, integrated with extensive molecular knowledge. The resulting projection reveals a tumor’s altered molecular pathways, facilitating model interpretation, and it accurately reconstructs held-out mutations, demonstrating model generalization. When applied to predict immunotherapy or chemotherapy resistance across multiple cancer types and cohorts, MutationProjector achieves or exceeds state-of-the-art performance in all contexts. It identifies unexpected biomarkers, including KMT2D mutation in immunotherapy sensitivity and joint alteration of SMARCA4 and STK11 in immunotherapy resistance. These results establish a unifying framework for connecting tumor genotypes to biological mechanisms and therapeutic outcomes. Significance: This work describes MutationProjector, a tumor genomic foundation model pretrained on more than 30,000 tumors. It maps mutations to biological states for diagnosis and treatment, achieving state-of-the-art performance in predicting therapy resistance and identifying biomarkers such as KMT2D (sensitivity) and SMARCA4/STK11 coalterations (resistance).
Kong J, Lee I, Boecher D, Singhal A, Kelly MR, Moon J, et al. A Foundation Model of Cancer Genotype Enables Precise Predictions of Therapeutic Response. Cancer Discov. 2026 May 26;16(10):2021-36. doi:10.1158/2159-8290.cd-25-1735. PMID: 42188872; PMCID: PMC13367315. ［Abstract only］
See all 1 Cancer biology papers →
Breast cancer: treatment, trials and AI
No new qualifying paper in the covered journals for this issue.
Lung cancer: treatment, trials and AI
No new qualifying paper in the covered journals for this issue.
Pancreatic cancer: treatment, trials and AI
No new qualifying paper in the covered journals for this issue.
Prostate cancer: treatment, trials and AI
No new qualifying paper in the covered journals for this issue.
Adenoid cystic carcinoma: treatment, trials and AI
No new qualifying paper in the covered journals for this issue.
Brain tumours: treatment, trials and AI
No new qualifying paper in the covered journals for this issue.
Ovarian cancer: treatment, trials and AI
No new qualifying paper in the covered journals for this issue.
Endometrial cancer: treatment, trials and AI
No new qualifying paper in the covered journals for this issue.
Gastric cancer: treatment, trials and AI
No new qualifying paper in the covered journals for this issue.
Liver cancer: treatment, trials and AI
No new qualifying paper in the covered journals for this issue.
Kidney cancer: treatment, trials and AI
No new qualifying paper in the covered journals for this issue.
Bladder cancer: treatment, trials and AI
No new qualifying paper in the covered journals for this issue.