Literature DB >> 19223529

Oral cancer diagnosis by mechanical phenotyping.

Torsten W Remmerbach1, Falk Wottawah, Julia Dietrich, Bryan Lincoln, Christian Wittekind, Jochen Guck.   

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.

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Year:  2009        PMID: 19223529     DOI: 10.1158/0008-5472.CAN-08-4073

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  94 in total

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Authors:  Daniel R Gossett; Henry T K Tse; Serena A Lee; Yong Ying; Anne G Lindgren; Otto O Yang; Jianyu Rao; Amander T Clark; Dino Di Carlo
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-30       Impact factor: 11.205

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10.  Quantitative Proteomics Analysis Reveals Novel Insights into Mechanisms of Action of Long Noncoding RNA Hox Transcript Antisense Intergenic RNA (HOTAIR) in HeLa Cells.

Authors:  Peng Zheng; Qian Xiong; Ying Wu; Ying Chen; Zhuo Chen; Joy Fleming; Ding Gao; Lijun Bi; Feng Ge
Journal:  Mol Cell Proteomics       Date:  2015-03-11       Impact factor: 5.911

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