Academic Journal

Microfluidic Chip-Based Cancer Diagnosis and Prediction of Relapse by Detecting Circulating Tumor Cells and Circulating Cancer Stem Cells

التفاصيل البيبلوغرافية
العنوان: Microfluidic Chip-Based Cancer Diagnosis and Prediction of Relapse by Detecting Circulating Tumor Cells and Circulating Cancer Stem Cells
المؤلفون: Hyeon-Yeol Cho, Jin-Ha Choi, Joungpyo Lim, Sang-Nam Lee, Jeong-Woo Choi
المصدر: Cancers; Volume 13; Issue 6; Pages: 1385
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2021
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: liquid biopsy, microfluidic platform, circulating tumor cells, circulating cancer stem cells, optical sensing, early diagnosis
الوصف: Detecting circulating tumor cells (CTCs) has been considered one of the best biomarkers in liquid biopsy for early diagnosis and prognosis monitoring in cancer. A major challenge of using CTCs is detecting extremely low-concentrated targets in the presence of high noise factors such as serum and hematopoietic cells. This review provides a selective overview of the recent progress in the design of microfluidic devices with optical sensing tools and their application in the detection and analysis of CTCs and their small malignant subset, circulating cancer stem cells (CCSCs). Moreover, discussion of novel strategies to analyze the differentiation of circulating cancer stem cells will contribute to an understanding of metastatic cancer, which can help clinicians to make a better assessment. We believe that the topic discussed in this review can provide brief guideline for the development of microfluidic-based optical biosensors in cancer prognosis monitoring and clinical applications.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: Transplant Oncology and Cancer Nursing Care; https://dx.doi.org/10.3390/cancers13061385
DOI: 10.3390/cancers13061385
الاتاحة: https://doi.org/10.3390/cancers13061385
Rights: https://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.3190372B
قاعدة البيانات: BASE