3D stem-like spheroids-on-a-chip for personalized combinatorial drug testing in oral cancer

癌症 医学 球体 药品 化疗 个性化医疗 癌症干细胞 干细胞 癌细胞 紫杉醇 癌症研究 病理 药理学 内科学 生物信息学 生物 细胞培养 遗传学
作者
Viraj Mehta,Sukanya Vilikkathala Sudhakaran,Vijaykumar Nellore,Srinivas Madduri,Subha Narayan Rath
出处
期刊:Journal of Nanobiotechnology [BioMed Central]
卷期号:22 (1): 344-344 被引量:8
标识
DOI:10.1186/s12951-024-02625-y
摘要

Abstract Background Functional drug testing (FDT) with patient-derived tumor cells in microfluidic devices is gaining popularity. However, the majority of previously reported microfluidic devices for FDT were limited by at least one of these factors: lengthy fabrication procedures, absence of tumor progenitor cells, lack of clinical correlation, and mono-drug therapy testing. Furthermore, personalized microfluidic models based on spheroids derived from oral cancer patients remain to be thoroughly validated. Overcoming the limitations, we develop 3D printed mold-based, dynamic, and personalized oral stem-like spheroids-on-a-chip, featuring unique serpentine loops and flat-bottom microwells arrangement. Results This unique arrangement enables the screening of seven combinations of three drugs on chemoresistive cancer stem-like cells. Oral cancer patients-derived stem-like spheroids (CD 44 + ) remains highly viable (> 90%) for 5 days. Treatment with a well-known oral cancer chemotherapy regimen (paclitaxel, 5 fluorouracil, and cisplatin) at clinically relevant dosages results in heterogeneous drug responses in spheroids. These spheroids are derived from three oral cancer patients, each diagnosed with either well-differentiated or moderately-differentiated squamous cell carcinoma. Oral spheroids exhibit dissimilar morphology, size, and oral tumor-relevant oxygen levels (< 5% O 2 ). These features correlate with the drug responses and clinical diagnosis from each patient’s histopathological report. Conclusions Overall, we demonstrate the influence of tumor differentiation status on treatment responses, which has been rarely carried out in the previous reports. To the best of our knowledge, this is the first report demonstrating extensive work on development of microfluidic based oral cancer spheroid model for personalized combinatorial drug screening. Furthermore, the obtained clinical correlation of drug screening data represents a significant advancement over previously reported personalized spheroid-based microfluidic devices. Finally, the maintenance of patient-derived spheroids with high viability under oral cancer relevant oxygen levels of less than 5% O 2 is a more realistic representation of solid tumor microenvironment in our developed device. Graphical Abstract
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