New RADIOHEAD Study Validates Use of Guardant Reveal Tissue-Free Monitoring for Earlier Detection of Immunotherapy Response in Advanced Cancer
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The first readout from Guardant’s research collaboration with the
Parker Institute for Cancer Immunotherapy (PICI) shows Guardant Reveal detected responses to immunotherapy across multiple tumor types and identified non-responders up to 5 months earlier than standard methods - Study shows Guardant Reveal’s promise for confirming effective therapies earlier and optimizing treatment faster in patients with advanced cancer
Approximately 30% of patients with advanced-stage cancer receive immunotherapy treatment, with varying degree and duration of response. This study analyzed a large cohort of more than 500 patients with various advanced solid tumors, including lung, skin, head and neck, breast, GI, GU, and gynecologic cancers, receiving immunotherapy in a real-world setting to assess if blood-based monitoring could predict response accurately and faster than standard of care methods. The strong association found between long-term patient outcomes and changes in tumor fraction as measured with the tissue-free, methylation-based Guardant Reveal supports the use of blood-based monitoring to help predict treatment response and improve decision-making in cancer care.
“Precise serial monitoring at the molecular level provides real value to oncologists and to patients using immunotherapy,” said
“Our RADIOHEAD study of Guardant Reveal in advanced stage cancers provides patients with a new caliber of precision monitoring in order to create better patient outcomes,” said
Key study findings include:
- Improved patient outcomes associated with any reduction in tumor fraction
- 75% lower risk of progression in patients with ≥80% decrease in tumor fraction
- Disease progression identified up to 5 months prior to standard of care methods
The full manuscript in
About
About RADIOHEAD
The RADIOHEAD (Resistance Drivers for Immuno-Oncology Patients Interrogated by Harmonized Molecular Datasets) program is a pan-tumor, prospective cohort study of 1,070 immunotherapy-naïve patients receiving standard-of-care immune checkpoint inhibitor regimens. Conducted across 49 U.S. community oncology clinics, the study includes over 3,700 longitudinal blood samples collected at pretreatment, early on-treatment, and immune-related adverse event timepoints, with a focus on major immuno-oncology indications such as non-small cell lung cancer (~1,400 samples) and malignant melanoma (~500 samples). Multi-omic profiling (including circulating tumor DNA analysis, whole-exome sequencing, transcriptomics, high-dimensional immune profiling, and serum proteomics) is paired with detailed clinical and demographic data to enable deep translational insights. This comprehensive dataset provides a unique opportunity to uncover mechanisms of response, resistance, and toxicity, and to apply machine learning approaches to explore immune and disease pathways.
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