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Large-Scale Quantitative Morphometry of Platelet α-Granules via SIM Super-Resolution Microscopy for Cancer Liquid
Yan Ma1,2, Huan Deng1,2, Zelin Liu1
1MOE Key Laboratory for Biomedical Photonics, Advanced Biomedical Imaging Facility-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|April 10, 2026
Summary
Platelet alpha-granule imaging (PAID) offers a novel non-invasive liquid biopsy for cancer detection. This assay identifies a unique "Circle" pattern in platelets, showing high accuracy across multiple cancer types.
Area of Science:
- Oncology
- Hematology
- Biomarker Discovery
Background:
- Current liquid biopsies face limitations due to rare circulating tumor components.
- Platelets are abundant and play a role in cancer-associated responses, presenting an underexplored diagnostic avenue.
Purpose of the Study:
- To investigate platelet alpha-granule distributions as a novel biomarker for cancer detection.
- To develop and validate a non-invasive diagnostic assay for multiple cancer types.
Main Methods:
- Utilized SIM super-resolution microscopy to analyze platelet alpha-granule patterns.
- Assessed a multicenter cohort of 1,556 individuals with nine cancer types and twelve non-malignant diseases.
- Developed the Platelet Alpha-granule Imaging-based Diagnostic (PAID) assay.
Main Results:
- Identified a cancer-associated "Circle" pattern in platelet alpha-granules with multi-cancer diagnostic potential.
- PAID achieved 85.0% accuracy for prostate cancer, improving to 94.2% when combined with PSA.
- In ovarian cancer, PAID combined with HE4 improved accuracy to 88.3% and outperformed CA125 in recurrence detection (90.3% vs 60.0%).
Conclusions:
- The PAID assay demonstrates significant potential as a non-invasive liquid biopsy for early cancer detection and management.
- Platelet alpha-granule alterations, particularly the "Circle" pattern, are robust cancer biomarkers.
- Synergistic interactions between tumor cells, exosomes, and proteins may drive these platelet changes.
