Literature DB >> 20665655

Computerized analysis of cytology and fluorescence in situ hybridization (FISH) in induced sputum for lung cancer detection.

Alexander Guber1, Joel Greif, Roni Rona, Elizabeth Fireman, Lea Madi, Tal Kaplan, Zipi Yemini, Maya Gottfried, Ruth L Katz, Michal Daniely.   

Abstract

BACKGROUND: Lung cancer results from a multistep process, whereby genetic and epigenetic alterations lead to a malignant phenotype. Somatic mutations, deletions, and amplifications can be detected in the tumor itself, but they can also be found in histologically normal bronchial epithelium as a result of field cancerization. The present feasibility study describes a computer-assisted analysis of induced sputum employing morphology and fluorescence in situ hybridization (target-FISH), using 2 biomarkers located at chromosomes 3p22.1 and 10q22.3.
METHODS: Induced sputum samples were collected using a standardized protocol from 12 patients with lung cancer and from 15 healthy, nonsmoking controls. We used an automated scanning system that allows consecutive scans of morphology and FISH of the same slide. Cells derived for the lower airways were analyzed for the presence of genetic alterations in the 3p22.1 and 10q22.3 loci.
RESULTS: The cutoff for a positive diagnosis was defined as >4% of cells showing genetic alterations. Eleven of 12 lung cancer patients and 12 of 15 controls were identified correctly, giving an overall sensitivity and specificity of 91.66% and 80%, respectively.
CONCLUSIONS: This study describes a new technology for detecting lung cancer noninvasively in induced sputum via a combination of morphology and FISH analysis (target-FISH) using computer-assisted technology. This approach may potentially be utilized for mass screening of high-risk populations.
© 2010 American Cancer Society.

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Year:  2010        PMID: 20665655     DOI: 10.1002/cncy.20094

Source DB:  PubMed          Journal:  Cancer Cytopathol        ISSN: 1934-662X            Impact factor:   5.284


  3 in total

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Journal:  J Thorac Oncol       Date:  2017-06-19       Impact factor: 15.609

2.  An efficient fluorescence in situ hybridization (FISH)-based circulating genetically abnormal cells (CACs) identification method based on Multi-scale MobileNet-YOLO-V4.

Authors:  Chao Xu; Yi Zhang; Xianjun Fan; Xingjie Lan; Xin Ye; Tongning Wu
Journal:  Quant Imaging Med Surg       Date:  2022-05

3.  Diagnostic values of vascular endothelial growth factor and epidermal growth factor receptor for benign and malignant hydrothorax.

Authors:  Yan Gu; Min Zhang; Guo-Hua Li; Jun-Zhen Gao; Liping Guo; Xiao-Juan Qiao; Li-Hong Wang; Lan He; Mei-Ling Wang; Li Yan; Xiu-Hua Fu
Journal:  Chin Med J (Engl)       Date:  2015-02-05       Impact factor: 2.628

  3 in total

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