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Jun 28, 2026
FDA granted early access to a pancreatic cancer drug; final ARROW data for pralsetinib in RET+ NSCLC were published. A Sarah Cannon Research Institute official outlined a tissue-agnostic vision and highlighted new oncology research.
Aug 01, 2026
Preclinical studies reveal that fructose promotes metastasis in ovarian cancer by reducing cell adhesion, while brigatinib enhances PARP inhibitor efficacy by blocking an early adaptive resistance mechanism. The findings suggest dietary modifications and repurposing a lung cancer drug could improve outcomes for high-grade serous ovarian cancer patients.
Jul 17, 2026
The FDA approved six cancer therapies in Q2 2026, including first-line sacituzumab govitecan for triple-negative breast cancer and capivasertib for PTEN-deficient prostate cancer. A separate study shows 69% of accelerated-approval cancer drugs need safety updates within 4 years.
Jun 16, 2026
Sensei Biotherapeutics has changed its name to Faeth Therapeutics following its February 2026 acquisition of the biotechnology company. The name change accompanies a $200 million private placement financing to advance PIKTOR, an investigational all-oral multi-node inhibitor targeting the PI3K/AKT/mTOR pathway in endometrial and breast cancer. Topline Phase 2 data in endometrial cancer is anticipated in the second half of 2026.
May 07, 2026
Sensei Biotherapeutics dosed the first patient in a Phase 1b/2 trial of PIKTOR (sapanisertib + serabelisib) in HR+/HER2- advanced breast cancer. The multi-node PI3K/AKT/mTOR inhibitor previously showed a 47% overall response rate in a Phase 1b trial.
Mar 13, 2026
Recent studies demonstrate that blood-based biomarkers combined with AI can predict dementia risk 25 years early in women, identify liver cancer-prone environments with 93% accuracy, and classify prediabetes risk groups with 90% accuracy.
Mar 04, 2026
Can-Fite BioPharma's drug candidate namodenoson met its primary endpoint in a Phase 2a pancreatic cancer trial and demonstrated anti-obesity effects in a peer-reviewed preclinical study published in the International Journal of Obesity.
Feb 18, 2026
Researchers at RIKEN Center for Integrative Medical Sciences in Japan have developed a machine-learning algorithm that predicts hepatocellular carcinoma risk by analyzing the MYCN protein and tumor-promoting microenvironments in liver tissue before malignancy manifests.
Feb 18, 2026
Researchers develop machine-learned biomarker predicting liver cancer risk with 93% accuracy, while AI-driven drug repurposing offers faster, cost-effective alternatives to address cancer survivorship gaps.
