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通过机械表型分析诊断口腔癌。

Oral cancer diagnosis by mechanical phenotyping.

作者信息

Remmerbach Torsten W, Wottawah Falk, Dietrich Julia, Lincoln Bryan, Wittekind Christian, Guck Jochen

机构信息

Department of Oral, Maxillofacial and Facial Plastic Surgery, University of Leipzig, Leipzig, Germany.

出版信息

Cancer Res. 2009 Mar 1;69(5):1728-32. doi: 10.1158/0008-5472.CAN-08-4073. Epub 2009 Feb 17.

Abstract

Oral squamous cell carcinomas are among the 10 most common cancers and have a 50% lethality rate after 5 years. Despite easy access to the oral cavity for cancer screening, the main limitations to successful treatment are uncertain prognostic criteria for (pre-)malignant lesions. Identifying a functional cellular marker may represent a significant improvement for diagnosis and treatment. Toward this goal, mechanical phenotyping of individual cells is a novel approach to detect cytoskeletal changes, which are diagnostic for malignant change. The compliance of cells from cell lines and primary samples of healthy donors and cancer patients was measured using a microfluidic optical stretcher. Cancer cells showed significantly different mechanical behavior, with a higher mean deformability and increased variance. Cancer cells (n approximately 30 cells measured from each patient) were on average 3.5 times more compliant than those of healthy donors [D(normal) = (4.43 +/- 0.68) 10(-3) Pa(-1); D(cancer) = (15.8 +/- 1.5) 10(-3) Pa(-1); P < 0.01]. The diagnosis results of the patient samples were confirmed by standard histopathology. The generality of these findings was supported by measurements of two normal and four cancer oral epithelial cell lines. Our results indicate that mechanical phenotyping is a sensible, label-free approach for classifying cancer cells to enable broad screening of suspicious lesions in the oral cavity. It could in principle be applied to any cancer to aid conventional diagnostic procedures.

摘要

口腔鳞状细胞癌是最常见的10种癌症之一,5年后的致死率为50%。尽管口腔易于进行癌症筛查,但成功治疗的主要限制在于(癌前)病变的预后标准不明确。识别一种功能性细胞标志物可能会显著改善诊断和治疗。为了实现这一目标,对单个细胞进行力学表型分析是一种检测细胞骨架变化的新方法,这些变化可用于诊断恶性病变。使用微流控光学拉伸仪测量了来自细胞系以及健康供体和癌症患者原代样本的细胞的顺应性。癌细胞表现出明显不同的力学行为,平均变形性更高且方差增加。癌细胞(每位患者平均测量约30个细胞)的顺应性平均是健康供体的3.5倍[D(正常)=(4.43±0.68)×10⁻³ Pa⁻¹;D(癌症)=(15.8±1.5)×10⁻³ Pa⁻¹;P<0.01]。患者样本的诊断结果通过标准组织病理学得到证实。对两种正常口腔上皮细胞系和四种口腔癌细胞系的测量结果支持了这些发现的普遍性。我们的结果表明,力学表型分析是一种合理的、无标记的方法,可用于对癌细胞进行分类,以便对口腔中的可疑病变进行广泛筛查。原则上,它可应用于任何癌症,以辅助传统诊断程序。

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