Small bowel neuroendocrine tumors (SBNETs) originate from enterochromaffin cells of the small intestine. Although SBNETs are generally known to grow slowly, they commonly metastasize to the liver1. While the surgical removal or tumor ablation can be considered in many cases, recurrence is nearly universal, and, therefore, medical therapy plays an important role in management. Tremendous efforts have been invested to generate new SBNET cell lines for drug testing. However, there has been very little success. Only 6 SBNET cell lines (KRJ-I, CND2, GOT1, P-STS, L-STS, H-STS) have been reported2,3,4,5; and unfortunately one cell line no longer expresses NET markers6 and three other SBNET cell lines (KRJ-I, L-STS, H-STS) were determined to be derived from transformed lymphoblasts instead of NETs7. In order to accelerate the identification of drugs for targeting SBNETs, alternative methods for in vitro drug testing are needed.
Here, we take advantage of the availability of resected SBNETs and have established a way to culture these patient-derived SBNETs as spheroids growing in ECM. The overall goal of this manuscript is to describe a method to culture SBNET as a three-dimensional (3D) culture and outline procedures to characterize these spheroids for the retention of SBNET markers by immunofluorescence staining and immunohistochemistry.
In addition, we demonstrate how these SBNET spheroids can be used for testing the effect of rapamycin, an anti-cancer drug for NETs8. The rationale behind this protocol is to develop a new method to grow SBNET cells in vitro and use them for drug testing. The advantage of this technique over the traditional method of establishing an SBNET cell line is that 3D cultures of SBNETs can rapidly be obtained and drug testing can be done within 3 weeks. SBNET spheroids could potentially be used as a model for performing in vitro drug screens to identify new drugs for SBNET patients. Since SBNET cell lines are not widely available, 3D cultures of SBNET spheroids can serve as a new in vitro model for studying SBNETs and can be shared among scientists in the field.