Highly Sensitive Detection of Engrailed-2 Protein Biomarker in Urine for Using Solution-Gated Graphene Transistor Diagnosis of Prostate Cancer

Engrailed-2 (EN2) protein, a transcription factor in the homologous domain expressed in prostate cancer (PCa) cells and secreted into the urine, is considered a promising biomarker for noninvasive detection of PCa. EN2 protein in urine samples can be obtained by noninvasive means, but the low biomarker concentration in urine samples poses a great challenge for noninvasive detection of the PCa biomarker. Herein, we develop a solution-gated graphene transistor (SGGT) biosensor to detect the biomarker of the EN2 protein for PCa diagnosis. The aptamer probes are immobilized to the gold gate electrode through Au-S bonds. The effect of aptamer configurations on the biosensor's responses is also investigated. It can be found that the SGGT biosensor with the long-chain probes with a stem-like loop structure exhibits optimal performance. The limit of detection of biosensors can reach 0.1 fg/mL, and a rapid response time of 19 min is achieved. The SGGT biosensor also exhibits high specificity for the EN2 protein. More importantly, testing of clinical urine samples indicates that our sensor can distinguish PCa patients from non-PCa subjects. Compared to traditional hospital prostate-specific antigen tests, our sensor exhibits better accuracy for the noninvasive diagnosis of PCa.

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Publication Details

Journal
ACS Sensors
Published
2025-03-04
DOI
https://doi.org/10.1021/acssensors.4c03320
Citations
4
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
3.22

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article

Highly Sensitive Detection of Engrailed-2 Protein Biomarker in Urine for Using Solution-Gated Graphene Transistor Diagnosis of Prostate Cancer

Junqi Dong, Minghua Deng, Huan Yang, Jinhua Li et al.
4 citations
ACS Sensors
Advanced biosensing and bioanalysis techniques
3.22
article

Highly Sensitive Detection of Engrailed-2 Protein Biomarker in Urine for Using Solution-Gated Graphene Transistor Diagnosis of Prostate Cancer

Junqi Dong, Minghua Deng, Huan Yang, Jinhua Li, Tingting Yu, Ruixue Wang, Xianbao Wang, Ziwen Chen, Zexun Pan, Song Peng
article en
4 citations

Abstract

Engrailed-2 (EN2) protein, a transcription factor in the homologous domain expressed in prostate cancer (PCa) cells and secreted into the urine, is considered a promising biomarker for noninvasive detection of PCa. EN2 protein in urine samples can be obtained by noninvasive means, but the low biomarker concentration in urine samples poses a great challenge for noninvasive detection of the PCa biomarker. Herein, we develop a solution-gated graphene transistor (SGGT) biosensor to detect the biomarker of the EN2 protein for PCa diagnosis. The aptamer probes are immobilized to the gold gate electrode through Au-S bonds. The effect of aptamer configurations on the biosensor's responses is also investigated. It can be found that the SGGT biosensor with the long-chain probes with a stem-like loop structure exhibits optimal performance. The limit of detection of biosensors can reach 0.1 fg/mL, and a rapid response time of 19 min is achieved. The SGGT biosensor also exhibits high specificity for the EN2 protein. More importantly, testing of clinical urine samples indicates that our sensor can distinguish PCa patients from non-PCa subjects. Compared to traditional hospital prostate-specific antigen tests, our sensor exhibits better accuracy for the noninvasive diagnosis of PCa.

ACS SensorsVol. 10(3)
University of Science and Technology (YE), Ministry of Education (IR), Tongji Hospital (CN), Hubei Normal University (CN), Huazhong University of Science and Technology (CN), Hubei University (CN)
Natural Science Foundation of Hubei Province, Department of Science and Technology, Hubei Provincial People's Government, Key Laboratory of Optoelectronic Chemical Materials and Devices, Tongji Hospital, Overseas Expertise Introduction Center for Discipline Innovation of Food Nutrition and Human Health (111 Center)
Good health and well-being
Openalex Percentile: Top 9%
Advanced biosensing and bioanalysis techniques
3.22
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