Merzougui Chaima, Yang Xi, Meng Dianhuai, Huang Yan, Zhao Xiangwei
State Key Laboratory of Digital Medical Engineering, School of Biological Science & Medical Engineering, Southeast University, Nanjing, 211189, China.
Southeast University Shenzhen Research Institute, Shenzhen, 518000, China.
Adv Healthc Mater. 2025 Mar;14(7):e2404420. doi: 10.1002/adhm.202404420. Epub 2025 Jan 29.
Current early cancer diagnostic technologies, such as imaging, molecular tests, endoscopic techniques, and biopsies, face considerable challenges in low-and middle-income countries (LMICs) due to high costs, procedural complexity, and limited resource access. Microneedle-based liquid biopsy for skin interstitial fluid (ISF) offers a practical and minimally invasive alternative for cancer diagnosis in these settings. This review systematically examines ISF liquid biopsy methods for their effectiveness in capturing cancer biomarkers directly from the skin and assesses their potential to address diagnostic needs in low-resource environments. Recent innovations in microneedle design and ISF underscore their potential in enabling early, accessible cancer detection tailored to LMICs' needs. Additionally, integrating artificial intelligence (AI) for data interpretation is proposed as a way to enhance diagnostic accuracy and enable real-time point-of-care (POC) applications. Collectively, these advances illustrate a flexible, scalable model for accessible cancer diagnostics, with significant implications for improving early detection and healthcare quality in resource-limited environments.
当前的早期癌症诊断技术，如图像检查、分子检测、内镜技术和活检，在低收入和中等收入国家（LMICs）面临着巨大挑战，原因包括成本高昂、操作复杂以及资源获取有限。基于微针的皮肤间质液（ISF）液体活检为这些地区的癌症诊断提供了一种实用且微创的替代方法。本综述系统地研究了ISF液体活检方法从皮肤直接捕获癌症生物标志物的有效性，并评估了其满足低资源环境中诊断需求的潜力。微针设计和ISF的最新创新突出了它们在实现针对LMICs需求的早期、可及癌症检测方面的潜力。此外，建议整合人工智能（AI）进行数据解读，以提高诊断准确性并实现即时护理点（POC）实时应用。总体而言，这些进展展示了一种灵活、可扩展的可及癌症诊断模型，对改善资源有限环境中的早期检测和医疗质量具有重要意义。
