Scholarlink

<p>Radical prostatectomy is a standard curative approach for high-risk prostate cancer, yet accurately defining tumour margins during surgery remains a major challenge. Intraoperative assessment of prostate tumour malignancy—particularly those with high aggressiveness catalogued in Gleason grade group (GG) ≥ 3—is crucial to prevent positive surgical margins and minimize postoperative complications. Here we develop a surface-enhanced Raman scattering (SERS)-based navigation system for intraoperative localization of high-grade malignant regions by simultaneously accessing tissue acidity and prostate-specific antigen (PSA) enzymatic activity. This system integrates a sampling pen for automated biomarker extraction from tissue surfaces, a nano-imprinted SERS array producing a ratiometric Raman signal in response to acidity and PSA activity, and a two-dimensional deep-learning model for rapid Raman spectral interpretation. We show that the system can intraoperatively identify GG ≥ 3 malignancies in fresh prostate tissues from 144 Chinese patients with an area under the receiver operating characteristic curve of 0.89. This SERS-based navigation system holds strong potential to enhance surgical precision, minimize tumour residue and ultimately improve patient outcomes.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Label-free navigation system for grading prostate tumour malignancy in situ via tissue pH and prostate-specific antigen activity

  • 期刊论文

  • 发表日期：

    2025年11月18日

查看全文
  • Ziyi Jin,
  • Sihui Chen,
  • Xiaoyan Dong,
  • Zheng Zhao,
  • Huaiyang Zeng,
  • Pengcheng Zhang,
  • Hang Yin,
  • Suhongrui Zhou,
  • Changle Li,
  • Chang He,
  • Jiaqi Huang,
  • Jun Zhang,
  • Jie Cheng,
  • Hairong Zheng,
  • Jinhua Yu,
  • Hui Yang,
  • Hang Wang,
  • Cong Li

摘要

Radical prostatectomy is a standard curative approach for high-risk prostate cancer, yet accurately defining tumour margins during surgery remains a major challenge. Intraoperative assessment of prostate tumour malignancy—particularly those with high aggressiveness catalogued in Gleason grade group (GG) ≥ 3—is crucial to prevent positive surgical margins and minimize postoperative complications. Here we develop a surface-enhanced Raman scattering (SERS)-based navigation system for intraoperative localization of high-grade malignant regions by simultaneously accessing tissue acidity and prostate-specific antigen (PSA) enzymatic activity. This system integrates a sampling pen for automated biomarker extraction from tissue surfaces, a nano-imprinted SERS array producing a ratiometric Raman signal in response to acidity and PSA activity, and a two-dimensional deep-learning model for rapid Raman spectral interpretation. We show that the system can intraoperatively identify GG ≥ 3 malignancies in fresh prostate tissues from 144 Chinese patients with an area under the receiver operating characteristic curve of 0.89. This SERS-based navigation system holds strong potential to enhance surgical precision, minimize tumour residue and ultimately improve patient outcomes.