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AstraZeneca

AstraZeneca

Pharmaceutical company

Appears in 5 stories

Stories

FDA panel weighs blood-test-guided early drug switch for breast cancer

New Capabilities

Sponsor of camizestrant (NDA 220359) and Truqap (sNDA 218197/S-004)

For decades, oncologists changed breast cancer drugs only after a scan showed the tumor growing back. On April 30, 2026, an FDA advisory panel weighed a different approach: switch the drug the moment a blood test detects the resistance mutation — weeks or months before the cancer becomes visible on imaging.

Updated May 31

New CRISPR-engineered cancer models decode how tumors outsmart targeted therapies

New Capabilities

Maker of osimertinib (Tagrisso), the drug whose resistance the models replicate

Every year, hundreds of thousands of lung cancer patients start treatment with osimertinib, the leading targeted therapy for tumors driven by mutations in the EGFR gene. Most will respond, but nearly all will eventually stop responding as their cancers evolve resistance through a dozen different molecular escape routes. Until now, researchers had to work with messy lab models that made it hard to pin down which genetic change caused which failure.

Updated May 31

Targeted drug combinations replace chemotherapy for common leukemia

New Capabilities

Manufacturer of acalabrutinib (Calquence); sponsor of the AMPLIFY trial

On February 20, 2026, the FDA approved venetoclax and acalabrutinib for chronic lymphocytic leukemia (CLL), the most common adult leukemia in Western countries, with roughly 23,000 new American cases each year. In a trial of 867 patients, 77% remained cancer-free at three years.

Updated May 29

AI transforms cancer drug development from trial-and-error to targeted selection

New Capabilities

Developing AI-powered oncology drug development infrastructure

For decades, cancer drug trials have failed at a rate exceeding 95%, burning through $50–60 billion annually on treatments tested in patients unlikely to respond. On April 17, 2025, researchers from AstraZeneca and Tempus AI published in Cancer Cell results from the Predictive Biomarker Modeling Framework, a machine learning system using contrastive learning on existing clinical data. The system can identify which cancer patients will survive longer on immunotherapy versus chemotherapy. Applied retrospectively to completed phase 3 trials, it improved survival outcomes by 15% compared to traditional patient selection.

Updated May 27

FDA approves Enhertu for early-stage HER2-positive breast cancer

New Capabilities

Co-commercializes Enhertu with Daiichi Sankyo; lead promoter in the U.S. market

The U.S. Food and Drug Administration (FDA) cleared AstraZeneca and Daiichi Sankyo's Enhertu for two new uses in early-stage HER2-positive breast cancer in May 2026. The drug, already a standard for advanced disease, now enters the window where the goal is cure, not control.

Updated May 18