Augustine Robin, Kalva Sumama Nuthana, Ahmad Rashid, Zahid Alap Ali, Hasan Shajia, Nayeem Ajisha, McClements Lana, Hasan Anwarul
Department of Mechanical and Industrial Engineering, College of Engineering, Qatar University, 2713 Doha, Qatar; Biomedical Research Center (BRC), Qatar University, PO Box 2713 Doha, Qatar.
Department of Mechanical and Industrial Engineering, College of Engineering, Qatar University, 2713 Doha, Qatar; Biomedical Research Center (BRC), Qatar University, PO Box 2713 Doha, Qatar.
Transl Oncol. 2021 Apr;14(4):101015. doi: 10.1016/j.tranon.2021.101015. Epub 2021 Jan 22.
After cardiovascular disease, cancer is the leading cause of death worldwide with devastating health and economic consequences, particularly in developing countries. Inter-patient variations in anti-cancer drug responses further limit the success of therapeutic interventions. Therefore, personalized medicines approach is key for this patient group involving molecular and genetic screening and appropriate stratification of patients to treatment regimen that they will respond to. However, the knowledge related to adequate risk stratification methods identifying patients who will respond to specific anti-cancer agents is still lacking in many cancer types. Recent advancements in three-dimensional (3D) bioprinting technology, have been extensively used to generate representative bioengineered tumor in vitro models, which recapitulate the human tumor tissues and microenvironment for high-throughput drug screening. Bioprinting process involves the precise deposition of multiple layers of different cell types in combination with biomaterials capable of generating 3D bioengineered tissues based on a computer-aided design. Bioprinted cancer models containing patient-derived cancer and stromal cells together with genetic material, extracellular matrix proteins and growth factors, represent a promising approach for personalized cancer therapy screening. Both natural and synthetic biopolymers have been utilized to support the proliferation of cells and biological material within the personalized tumor models/implants. These models can provide a physiologically pertinent cell-cell and cell-matrix interactions by mimicking the 3D heterogeneity of real tumors. Here, we reviewed the potential applications of 3D bioprinted tumor constructs as personalized in vitro models in anticancer drug screening and in the establishment of precision treatment regimens.
在心血管疾病之后,癌症是全球主要的死亡原因,会带来毁灭性的健康和经济后果,在发展中国家尤其如此。患者对抗癌药物反应的个体差异进一步限制了治疗干预的成功率。因此,个性化医疗方法对于这类患者群体至关重要,这涉及分子和基因筛查以及根据患者对治疗方案的反应进行适当分层。然而,在许多癌症类型中,仍然缺乏关于识别对特定抗癌药物有反应的患者的充分风险分层方法的知识。三维(3D)生物打印技术的最新进展已被广泛用于生成具有代表性的体外生物工程肿瘤模型,该模型可重现人类肿瘤组织和微环境以进行高通量药物筛选。生物打印过程涉及根据计算机辅助设计精确沉积多层不同细胞类型,并结合能够生成3D生物工程组织的生物材料。包含患者来源的癌细胞和基质细胞以及遗传物质、细胞外基质蛋白和生长因子的生物打印癌症模型,代表了一种用于个性化癌症治疗筛选的有前景的方法。天然和合成生物聚合物都已被用于支持个性化肿瘤模型/植入物中细胞和生物材料的增殖。这些模型可以通过模拟真实肿瘤的3D异质性提供生理相关的细胞 - 细胞和细胞 - 基质相互作用。在此,我们综述了3D生物打印肿瘤构建体作为个性化体外模型在抗癌药物筛选和精准治疗方案建立中的潜在应用。