推出SMART 3D癌症模型

IF 12.5 1区 医学 Q1 ONCOLOGY
Sam Ernst, Olivier De Wever
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引用次数: 0

摘要

肿瘤微环境在塑造肿瘤表型中起着至关重要的作用,但在体外复制其复杂性仍然具有挑战性。传统的二维培养模型缺乏生理学相关性,三维模型往往不能完全捕获天然细胞外基质(ECM)的组成和细胞异质性。在这一期的《癌症研究》中,Buckenmeyer及其同事通过将脱细胞的猪源小肠粘膜下层ECM整合到单细胞球体中,从而形成具有体内样癌细胞异质性的“基质球”,弥补了这一空白。尽管小肠粘膜下层ECM已被证明是有益的,但仍有几种途径未被探索,例如合并其他细胞类型(免疫细胞和癌症相关成纤维细胞)或物种、器官或病理特异性ECM或利用患者来源的肿瘤材料。通过这些研究途径,进一步开发SMART三维模型,可以为癌症研究、药物发现和个性化医疗提供强大的工具。参见Buckenmeyer等人的相关文章,第1577页
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Launching SMART 3D Cancer Models
The tumor microenvironment plays a crucial role in shaping the tumor phenotype, yet replicating its complexity in vitro remains challenging. Traditional two-dimensional culture models lack physiologic relevance, and three-dimensional models often fail to fully capture native extracellular matrix (ECM) composition and cellular heterogeneity. In this issue of Cancer Research, Buckenmeyer and colleagues bridged this gap by integrating decellularized porcine-derived small intestinal submucosa ECM into monocellular spheroids, resulting in the formation of “MatriSpheres” with in vivo–like cancer cell heterogeneity. Although small intestinal submucosa ECM proved to be beneficial, several routes remain unexplored, such as incorporating other cell types (immune cells and cancer-associated fibroblasts) or species-, organ- or pathology-specific ECM or leveraging patient-derived tumor material. Pursuing these avenues of investigation to further develop Self-Matrix-Assembly to Recapitulate a Tumor (SMART) three-dimensional models could provide a powerful tool for cancer research, drug discovery, and personalized medicine. See related article by Buckenmeyer et al., p. 1577
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来源期刊
Cancer research
Cancer research 医学-肿瘤学
CiteScore
16.10
自引率
0.90%
发文量
7677
审稿时长
2.5 months
期刊介绍: Cancer Research, published by the American Association for Cancer Research (AACR), is a journal that focuses on impactful original studies, reviews, and opinion pieces relevant to the broad cancer research community. Manuscripts that present conceptual or technological advances leading to insights into cancer biology are particularly sought after. The journal also places emphasis on convergence science, which involves bridging multiple distinct areas of cancer research. With primary subsections including Cancer Biology, Cancer Immunology, Cancer Metabolism and Molecular Mechanisms, Translational Cancer Biology, Cancer Landscapes, and Convergence Science, Cancer Research has a comprehensive scope. It is published twice a month and has one volume per year, with a print ISSN of 0008-5472 and an online ISSN of 1538-7445. Cancer Research is abstracted and/or indexed in various databases and platforms, including BIOSIS Previews (R) Database, MEDLINE, Current Contents/Life Sciences, Current Contents/Clinical Medicine, Science Citation Index, Scopus, and Web of Science.
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