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. 2024 Dec 30;14(1):31888.
doi: 10.1038/s41598-024-83409-0.

Preliminary study of utilizing a patient derived tumor spheroid model to augment precision therapy in metastatic brain tumors

Affiliations

Preliminary study of utilizing a patient derived tumor spheroid model to augment precision therapy in metastatic brain tumors

Chun-Jen Chang et al. Sci Rep. .

Abstract

Treating metastatic brain tumors remains a significant challenge. This study introduces and applies the Patient-Derived Tumor Spheroid (PDTS) system, an ex vivo model for precision drug testing on metastatic brain tumor. The PDTS system utilizes a decellularized extracellular matrix (dECM) derived from adipose tissue, combined with the tumor cells, to form tumor spheroids. These spheroids were subsequently used to test anticancer drugs, with results compared to the clinical outcomes observed after administering these treatments to patients. To assess the validity of the data, the correlation between the drug responses observed in the PDTS model and actual patient outcomes was analyzed. Chi-square tests evaluated the significance of associations between lab predictions and clinical outcomes, using a significance threshold of p < 0.05. In preliminary data, 17 patients met the criteria for final analysis, which showed an overall 57% accuracy (p-value = 0.463), with improvements to 73% accuracy (p-value = 0.072) when patients receiving certain treatments were excluded. This PDTS offers real-time results within three weeks, simultaneous testing of multiple drugs, and the ability to culture and store tumor cells for reproducibility. Despite some limitations, further development of this model could enhance its clinical application and improve patient outcomes.

Keywords: Metastatic brain tumor; Micro-organosphere; Patient-derived organoid; Patient-derived tumor spheroids; Precision oncology.

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Conflict of interest statement

Declarations. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Participant inclusion and exclusion flowchart.
Fig. 2
Fig. 2
(a) PDTS + response data with overall sensitivity, specificity and accuracy. (b) PDTS + response data matching patients’ clinical outcomes (after excluding patient who received immunotherapy, angiogenesis inhibitors or cell therapy).
Fig. 3
Fig. 3
Images before treatment for Patient No. 10.
Fig. 4
Fig. 4
The drug test results for Patient No. 10 suggest that both afatinib and osimertinib had a positive effect (relative cell viability less than 70%) in the treatment of Patient No. 10, while other anticancer drugs tested did not have a significant effect (relative cell viability above 70%).
Fig. 5
Fig. 5
The imaging follow-ups conducted at 3 months and 9 months, in comparison to the preoperative images captured on December 2, 2022, revealed remarkable shrinkage of both the brain and chest tumors. This positive response to treatment is an encouraging sign of the effectiveness of therapeutic interventions and is categorized as partial regression (PR).

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