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Genetically encoded biosensors in microbes for Tumor targeting
Xinqi Chen1, Ye Zhou1, Xiao Han1
1School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China; State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, 214122, China.
Biosensors & Bioelectronics
|November 29, 2025
Summary
Genetically encoded biosensors offer enhanced accuracy for cancer therapies by autonomously sensing tumor biomarkers. This review guides the design and clinical translation of these advanced biosensors for precise tumor targeting.
Area of Science:
- Biomedical Engineering
- Molecular Biology
- Oncology
Background:
- Inadequate tumor-targeting accuracy hinders cancer therapy development.
- Tumor-specific cues present opportunities for precise cancer identification.
- Genetically encoded biosensors offer programmable, autonomous tumor biomarker sensing.
Purpose of the Study:
- To review tumorigenesis and associated biomarkers.
- To catalog biosensors for tumor-specific biomarker sensing.
- To detail biosensor applications in cancer detection, therapy, and recording.
Main Methods:
- Literature review of tumorigenesis and biomarkers.
- Cataloging of genetically encoded biosensors.
- Analysis of biosensor applications in oncology.
Main Results:
- Identified environmental, metabolic, immune, and genetic tumor biomarkers.
- Cataloged a diverse range of biosensors for tumor biomarker detection.
- Detailed biosensor applications in cancer detection, precision therapy, and disease recording.
Conclusions:
- Genetically encoded biosensors show promise for improving cancer therapy accuracy.
- Addressing challenges is crucial for clinical translation of biosensors.
- This review provides guidance for biosensor design and clinical application in cancer.
