In vitro 3D microfluidic peritoneal metastatic colorectal cancer model for testing different oxaliplatin-based HIPEC regimens

Author:

Canda Aras Emre1ORCID,Sever Tolga1ORCID,Calibasi Kocal Gizem2ORCID,Basbinar Yasemin2ORCID,Ellidokuz Hulya1ORCID

Affiliation:

1. Institute of Oncology , Dokuz Eylul University , Izmir , Türkiye

2. Institute of Oncology, Department of Translational Oncology , Dokuz Eylul University , Izmir , Türkiye

Abstract

Abstract Objectives Treatment of colorectal peritoneal metastases with cytoreductive surgery and hyperthermic intraperitoneal chemotherapy (HIPEC) is still evolving. Conducting a randomized trial is challenging due to the high heterogeneity in the presentation of peritoneal disease and various surgical approaches. Biological research may facilitate more rapid translation of information into clinical practice. There is an emerging need for a preclinical model to improve HIPEC treatment protocols in terms of drug doses and treatment durations. The aim of the study is to design a tool that serves as an in vitro three-dimensional (3D) microfluidic peritoneal metastatic colorectal cancer model to test the efficacy of different HIPEC treatments. Methods We determined the effects of current therapy options using a 3D static disease model on human colon carcinoma cell lines (HCT 116) and transforming growth factor-β1 induced epithelial-to-mesenchymal transition (EMT) HCT 116 lines at 37 °C and 42 °C for 30, 60, and 120 min. We determined oxaliplatin’s half maximal inhibitory concentrations in a 3D static culture by using viability assay. Clinical practices of HIPEC were applied in the developed model. Results EMT-induced HCT 116 cells were less sensitive to oxaliplatin treatment compared to non-induced cells. We observed increased cytotoxicity when increasing the temperature from 37 °C to 42 °C and extending the treatment duration from 30 to 120 min. We found that 200 mg/m2 oxaliplatin administered for 120 min is the most effective HIPEC treatment option within the framework of clinic applications. Conclusions The tool map provide insights into creating more realistic pre-clinical tools that could be used for a patient-based drug screening.

Funder

Dokuz Eylul University

Publisher

Walter de Gruyter GmbH

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