Precise Genotyping Via Surface‐Enhanced Raman Spectroscopy‐Based Optical Sensing Chip for Guiding Targeted Therapy in Lung Cancer

Abstract The emergence of “precision medicine” marks a notable shift in cancer treatment, moving from a tumor type–oriented approach to a more targeted, gene‐oriented approach. Detecting low‐abundance mutant genes in blood is challenging but crucial for personalized treatment plans. Herein, a novel platform combining catalytic hairpin self‐assembly (CHA)‐mediated self‐calibrating surface‐enhanced Raman spectroscopy (SERS) with a high‐throughput Raman system (CCSPS) was designed. This platform enables ultrasensitive and rapid genotype analysis of gene mutations. The development of CCSPS specifically targets EGFR mutations, which serve as crucial therapeutic targets for precision therapy in lung cancer. This system shows excellent sensitivity and selectivity, capable of detecting multiple EGFR mutations ( Del‐19 , L858R , and T790M ) with a detection limit as low as attomolar levels. Additionally, precise genotyping analysis was successfully conducted on 42 clinical samples using the CCSPS, yielding results consistent with those obtained through next‐generation sequencing. These results underscore the efficacy of the CCSPS in noninvasively identifying circulating tumor DNA (ctDNA) mutations, facilitating immediate therapeutic decision making at the bedside. In summary, the CCSPS is a fast, accurate, versatile, and compact testing system capable of precisely screening individuals who stand to benefit from targeted therapy, thus promoting personalized and precise healthcare.

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Publication Details

Journal
Laser & Photonics Review
Published
2024-11-15
DOI
https://doi.org/10.1002/lpor.202401400
Citations
5
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.92

Funders

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article

Precise Genotyping Via Surface‐Enhanced Raman Spectroscopy‐Based Optical Sensing Chip for Guiding Targeted Therapy in Lung Cancer

Xueliang Lin, Xiaomeng Zheng, Kien Voon Kong, Min Fan et al.
5 citations
Laser & Photonics Review
Biosensors and Analytical Detection
0.92
article

Precise Genotyping Via Surface‐Enhanced Raman Spectroscopy‐Based Optical Sensing Chip for Guiding Targeted Therapy in Lung Cancer

Xueliang Lin, Xiaomeng Zheng, Kien Voon Kong, Min Fan, Luyun Xu, Duo Lin, Jianqin Ye, Shangyuan Feng, Jingbo Chen, Yudong Lu
article en
5 citations

Abstract

Abstract The emergence of “precision medicine” marks a notable shift in cancer treatment, moving from a tumor type–oriented approach to a more targeted, gene‐oriented approach. Detecting low‐abundance mutant genes in blood is challenging but crucial for personalized treatment plans. Herein, a novel platform combining catalytic hairpin self‐assembly (CHA)‐mediated self‐calibrating surface‐enhanced Raman spectroscopy (SERS) with a high‐throughput Raman system (CCSPS) was designed. This platform enables ultrasensitive and rapid genotype analysis of gene mutations. The development of CCSPS specifically targets EGFR mutations, which serve as crucial therapeutic targets for precision therapy in lung cancer. This system shows excellent sensitivity and selectivity, capable of detecting multiple EGFR mutations ( Del‐19 , L858R , and T790M ) with a detection limit as low as attomolar levels. Additionally, precise genotyping analysis was successfully conducted on 42 clinical samples using the CCSPS, yielding results consistent with those obtained through next‐generation sequencing. These results underscore the efficacy of the CCSPS in noninvasively identifying circulating tumor DNA (ctDNA) mutations, facilitating immediate therapeutic decision making at the bedside. In summary, the CCSPS is a fast, accurate, versatile, and compact testing system capable of precisely screening individuals who stand to benefit from targeted therapy, thus promoting personalized and precise healthcare.

Laser & Photonics ReviewVol. 19(5)
Fujian Normal University (CN), Fujian Medical University (CN), National Taiwan University (TW), Quanzhou Normal University (CN), Fujian Provincial Hospital (CN)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province
Good health and well-being
Openalex Percentile: Top 27%
Biosensors and Analytical Detection
0.92
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