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Adv. Sci., 02 January 2025 | https://doi.org/10.1002/advs.202411769 Prediction of Patient Drug Response via 3D Bioprinted Gastric Cancer Model Utilized Patient-Derived Tissue Laden Tissue-Specific Bioink

Yoo-Mi Choi ^{1 †}, Deukchae Na ^{2 †}, Goeun Yoon ³, Jisoo Kim ⁴, Seoyeon Min ², Hee-Gyeong Yi ⁵, Soo-Jeong Cho ⁶, Jae Hee Cho ⁷, Charles Lee ^{2 8 *}, Jinah Jang ^{1 3 4 9 10 *}

¹Center for 3D Organ Printing and Stem cells (COPS), Pohang University of Science and Technology (POSTECH), Pohang, 37666, Republic of Korea.
²Ewha Institute of Convergence Medicine, Ewha Womans University Mokdong Hospital, Seoul, 07985, Republic of Korea.
³Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37666, Republic of Korea.
⁴School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology (POSTECH), Pohang, 37666, Republic of Korea.
⁵Department of Rural and Biosystems Engineering, Chonnam National University, Gwangju, 61186, Republic of Korea.
⁶Department of Internal Medicine, Liver Research Institute, Seoul National University Hospital, Seoul, 03080, Republic of Korea.
⁷Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 06273, Republic of Korea.
⁸The Jackson Laboratory for Genomic Medicine, Farmington, CT, 06032, USA.
⁹Department of Convergence IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37666, Republic of Korea.
¹⁰Institute for Convergence Research and Education in Advanced Technology, Yonsei University, Seoul, 03722, Republic of Korea.

^†Y-C. and D.N. contributed equally to this work.
^*Corresponding authors: correspondence to Charles Lee or Jinah Jang

Abstract

Despite significant research progress, tumor heterogeneity remains elusive, and its complexity poses a barrier to anticancer drug discovery and cancer treatment. Response to the same drug varies across patients, and the timing of treatment is an important factor in determining prognosis. Therefore, development of patient-specific preclinical models that can predict a patient's drug response within a short period is imperative. In this study, a printed gastric cancer (pGC) model is developed for preclinical chemotherapy using extrusion-based 3D bioprinting technology and tissue-specific bioinks containing patient-derived tumor chunks. The pGC model retained the original tumor characteristics and enabled rapid drug evaluation within 2 weeks of its isolation from the patient. In fact, it is confirmed that the drug response-related gene profile of pGC tissues co-cultured with human gastric fibroblasts (hGaFibro) is similar to that of patient tissues. This suggested that the application of the pGC model can potentially overcome the challenges associated with accurate drug evaluation in preclinical models (e.g., patient-derived xenografts) owing to the deficiency of stromal cells derived from the patient. Consequently, the pGC model manifested a remarkable similarity with patients in terms of response to chemotherapy and prognostic predictability. Hence, it is considered a promising preclinical tool for personalized and precise treatments.

논문정보

형식Research article
게재일2025년 01월 (BRIC 등록일 2025-01-24)
연구진국내(교신)+국외 연구진
분야 바이오·의료융합 > 바이오소재

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