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Identification of immunohistochemical markers for distinguishing lung adenocarcinoma from squamous cell carcinoma

  
@article{JTD4756,
	author = {Cheng Zhan and Li Yan and Lin Wang and Yang Sun and Xingxing Wang and Zongwu Lin and Yongxing Zhang and Yu Shi and Wei Jiang and Qun Wang},
	title = {Identification of immunohistochemical markers for distinguishing lung adenocarcinoma from squamous cell carcinoma},
	journal = {Journal of Thoracic Disease},
	volume = {7},
	number = {8},
	year = {2015},
	keywords = {},
	abstract = {Background: Immunohistochemical staining has been widely used in distinguishing lung adenocarcinoma (LUAD) from lung squamous cell carcinoma (LUSC), which is of vital importance for the diagnosis and treatment of lung cancer. Due to the lack of a comprehensive analysis of different lung cancer subtypes, there may still be undiscovered markers with higher diagnostic accuracy.
Methods: Herein first, we systematically analyzed high-throughput data obtained from The Cancer Genome Atlas (TCGA) database. Combining differently expressed gene screening and receiver operating characteristic (ROC) curve analysis, we attempted to identify the genes which might be suitable as immunohistochemical markers in distinguishing LUAD from LUSC. Then we detected the expression of six of these genes (MLPH, TMC5, SFTA3, DSG3, DSC3 and CALML3) in lung cancer sections using immunohistochemical staining.
Results: A number of genes were identified as candidate immunohistochemical markers with high sensitivity and specificity in distinguishing LUAD from LUSC. Then the staining results confirmed the potentials of the six genes (MLPH, TMC5, SFTA3, DSG3, DSC3 and CALML3) in distinguishing LUAD from LUSC, and their sensitivity and specificity were not less than many commonly used markers.
Conclusions: The results revealed that the six genes (MLPH, TMC5, SFTA3, DSG3, DSC3 and CALML3) might be suitable markers in distinguishing LUAD from LUSC, and also validated the feasibility of our methods for identification of candidate markers from high-throughput data.},
	issn = {2077-6624},	url = {https://jtd.amegroups.org/article/view/4756}
}