Wang Yufei, Zhang Limin, Wang Louis Zizhao, Cao Yang, Huang Lulu, Sethi Gautam, Chen Xiaoguang, Wang Lingzhi, Goh Boon-Cher
School of Basic Medicine, Health Science Center, Yangtze University, Jingzhou, 434023, China.
Jingzhou Hospital of Traditional Chinese Medicine, Jingzhou, 434000, China.
Mol Cancer. 2025 Aug 25;24(1):222. doi: 10.1186/s12943-025-02429-0.
Digestive system cancers-including gastric, liver, colorectal, esophageal, and pancreatic malignancies-remain leading causes of cancer death, with treatment resistance posing major challenges in advanced disease. Patient-derived cancer organoids (PDCOs), 3D mini-tumors grown from patient biopsies, have revolutionized personalized oncology by faithfully replicating tumor biology and enabling predictive drug testing for chemotherapy, radiotherapy, targeted therapy, and immunotherapy. While demonstrating good predictive accuracy, current limitations include incomplete tumor microenvironments, variable establishment rates, and lengthy processing times. Emerging technologies like AI, organ-on-chip systems, and 3D bioprinting are addressing these challenges, while clinical trials explore applications in neoadjuvant therapy and real-time treatment guidance. This Review highlights key advances in PDCO technology and its transformative potential for treatment decision-making in digestive system cancers, bridging laboratory research with clinical care to enable truly personalized therapeutic strategies tailored to individual tumor biology.
消化系统癌症,包括胃癌、肝癌、结直肠癌、食管癌和胰腺癌,仍然是癌症死亡的主要原因,治疗耐药性给晚期疾病带来了重大挑战。患者来源的癌症类器官(PDCO)是从患者活检组织中培养出来的三维微型肿瘤,通过忠实地复制肿瘤生物学特性,并能够对化疗、放疗、靶向治疗和免疫治疗进行预测性药物测试,彻底改变了个性化肿瘤学。虽然显示出良好的预测准确性,但目前的局限性包括肿瘤微环境不完整、建立率可变以及处理时间长。人工智能、芯片器官系统和3D生物打印等新兴技术正在应对这些挑战,同时临床试验也在探索其在新辅助治疗和实时治疗指导中的应用。本综述强调了PDCO技术的关键进展及其在消化系统癌症治疗决策中的变革潜力,将实验室研究与临床护理联系起来,以实现真正针对个体肿瘤生物学特性的个性化治疗策略。