State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau 853, (S.A.R.), China.
Faculty of Pharmacy and Food Science, Zhuhai College of Science and Technology, Zhuhai, China.
Technol Cancer Res Treat. 2023 Jan-Dec;22:15330338231187239. doi: 10.1177/15330338231187239.
Despite the development of various cancer treatment methods, chemotherapy remains the most common approach for treating cancer. The risk of tumors acquiring resistance to chemotherapy remains a significant hurdle to the successful treatment of various types of cancer. Therefore, overcoming or predicting multidrug resistance in clinical treatment is essential. The detection of circulating tumor cells (CTCs) is an important component of liquid biopsy and the diagnosis of cancer. This study aims to test the feasibility of single-cell bioanalyzer (SCB) and microfluidic chip technology in identifying patients with cancer resistant to chemotherapy and propose new methods to provide clinicians with new choices. In this study, we used rapidly isolated viable CTCs from the patient blood samples method combined with SCB technology and a novel microfluidic chip, to predict whether patients with cancer are resistant to chemotherapy. SCB and microfluidic chip were used to select single CTCs, and the accumulation of chemotherapy drug was fluorescently measured in real time on these cells in the absence and presence of permeability-glycoprotein inhibitors. Initially, we successfully isolated viable CTCs from the blood samples of patients. Additionally, the present study accurately predicted the response of 4 lung cancer patients to chemotherapeutic drugs. In addition, the CTCs of 17 patients with breast cancer diagnosed at Zhuhai Hospital of Traditional Chinese and Western Medicine were assessed. The results indicated that 9 patients were sensitive to chemotherapeutic drugs, 8 patients were resistant to a certain degree, and only 1 was completely resistant to chemotherapy. The present study indicated that the SCB technology could be used as a prognostic assay to evaluate the CTCs response to available drugs and guide physicians to treatment options that are most likely to be effective.
尽管开发了各种癌症治疗方法,但化疗仍然是治疗癌症最常用的方法。肿瘤对化疗产生耐药性的风险仍然是各种癌症成功治疗的重大障碍。因此,克服或预测临床治疗中的多药耐药性至关重要。循环肿瘤细胞(CTC)的检测是液体活检和癌症诊断的重要组成部分。本研究旨在测试单细胞生物分析仪(SCB)和微流控芯片技术在鉴定对化疗有抗药性的癌症患者中的可行性,并提出新的方法为临床医生提供新的选择。在这项研究中,我们使用快速分离患者血液样本中的有活力的 CTC 方法与 SCB 技术和新型微流控芯片相结合,预测癌症患者是否对化疗有抗药性。SCB 和微流控芯片用于选择单个 CTC,并在缺乏和存在通透性糖蛋白抑制剂的情况下实时荧光测量这些细胞中化疗药物的积累。最初,我们成功地从患者的血液样本中分离出有活力的 CTC。此外,本研究还准确预测了 4 名肺癌患者对化疗药物的反应。此外,还评估了珠海中西医结合医院 17 名乳腺癌患者的 CTC。结果表明,9 名患者对化疗药物敏感,8 名患者有一定程度的耐药性,只有 1 名患者对化疗完全耐药。本研究表明,SCB 技术可用作预后测定法,评估 CTC 对现有药物的反应,并指导医生选择最有可能有效的治疗方案。