不适合移植的大 B 细胞淋巴瘤二线使用 axicabtagene ciloleucel：ALYCANTE 最终分析
Second-line axicabtagene ciloleucel in large B-cell lymphoma ineligible for transplantation: ALYCANTE final analysis.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
通过细胞形态检测和分类 T 细胞功能
英文原题：Assaying and classifying T cell function by cell morphology.
查看英文原题
Assaying and classifying T cell function by cell morphology.
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中文摘要
免疫细胞功能在个体间差异巨大，这对新兴的细胞免疫疗法构成了重大挑战。本报告探索利用细胞形态学作为T细胞高水平功能的指标。通过11个形态学参数对T细胞在平面弹性表面上的短期铺展进行定量分析，以识别内在和外在因素的影响。我们的研究结果发现了从健康供者分离的T细胞与正在接受慢性淋巴细胞白血病（CLL）治疗的患者T细胞之间存在的形态学特征差异。该方法还识别出细胞对不同弹性模量基底反应的差异。通过机器学习方法（如决策树或随机森林）整合多个特征，为判断T细胞来源于健康供者还是CLL患者提供了有效手段。该方法的进一步发展有望实现T细胞功能的快速检测，以指导细胞免疫治疗。
展开英文摘要原文
Immune cell function varies tremendously between individuals, posing a major challenge to emerging cellular immunotherapies. This report pursues the use of cell morphology as an indicator of high-level T cell function. Short-term spreading of T cells on planar, elastic surfaces was quantified by 11 morphological parameters and analyzed to identify effects of both intrinsic and extrinsic factors.
Our findings identified morphological features that varied between T cells isolated from healthy donors and those from patients being treated for Chronic Lymphocytic Leukemia (CLL). This approach also identified differences between cell responses to substrates of different elastic modulus. Combining multiple features through a machine learning approach such as Decision Tree or Random Forest provided an effective means for identifying whether T cells came from healthy or CLL donors.
Further development of this approach could lead to a rapid assay of T cell function to guide cellular immunotherapy.
论文信息
- 作者
- Wang X、Fernandes SM、Brown JR、Kam LC
- 单位
- Department of Biomedical Engineering, Columbia University, New York, NY.United States
- 期刊
- BioMedInformatics2024 Jun
- 原文标识
- PubMed 39525274 · DOI 10.3390/biomedinformatics4020063
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