The application of tissue microarray technology in the study of antigen expression in tumor tissue
Weidong Li
Abstract
Weidong Li
Abstract
Objective:To study the expression of various antigen in a variety of tumor tissue microarray,tissue microarray of tumor progression and tumor prognosis tissue microarray.To clear the application of tissue microarray technology in the study of tumor.Methods:Using tissue microarray and immunohistochemistry detect the expression of Estrogen Receptor(ER),Progesterone receptor PR in variety of tumor tissues,the expression of P53 in progress tissues of lung cancer,and the expression of P16 in squamous cell carcinoma of lung.Results:Hand-made tissue microarray arrays arranged in neat rows,only one organization was missed(1/625=0.16%),three organizations were folded(3/625=0.48%),the rest were all in good morphology.ER,PR in breast cancer,cervical cancer,endometrial cancer,ovarian cancer,lung cancer,esophageal cancer,gastric cancer and other tumors were all expressed,and the expression is different;The expression of P53 in lung cancer and atypical hyperplasia(70%,40%) was significantly higher than it in normal bronchial mucosa(0%)(P0.05);The lost pression rate of P16 protein in lung squamous cell carcinoma was 57.9%,in which metastasis group(8/13=61.5%) was significantly higher than those group without metastasis(7/17=41.2%)(P0.05).Conclusion:Tissue microarray technology can quickly and efficiently carry through various testing and analysis on a large number of tumor tissue samples,It is low-cost,strong comparability,hand-made is simple and economical,can be widely applied to various aspects of tumor pathology.Application of tissue microarray technology have detected ER,PR were expressed in a variety of tumors,suggesting that both those were related with a variety of tumors;proved P53 gene mutation is an early event in lung cancer,participated in the development of lung cancer;The certain loss of expression rate of P16 gene in squamous cell lung cancer indicated it related with tumor prognostic factors whether metastasis or not.
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Objective:To study the expression of various antigen in a variety of tumor tissue microarray,tissue microarray of tumor progression and tumor prognosis tissue microarray.To clear the application of tissue microarray technology in the study of tumor.Methods:Using tissue microarray and immunohistochemistry detect the expression of Estrogen Receptor(ER),Progesterone receptor PR in variety of tumor tissues,the expression of P53 in progress tissues of lung cancer,and the expression of P16 in squamous cell carcinoma of lung.Results:Hand-made tissue microarray arrays arranged in neat rows,only one organization was missed(1/625=0.16%),three organizations were folded(3/625=0.48%),the rest were all in good morphology.ER,PR in breast cancer,cervical cancer,endometrial cancer,ovarian cancer,lung cancer,esophageal cancer,gastric cancer and other tumors were all expressed,and the expression is different;The expression of P53 in lung cancer and atypical hyperplasia(70%,40%) was significantly higher than it in normal bronchial mucosa(0%)(P0.05);The lost pression rate of P16 protein in lung squamous cell carcinoma was 57.9%,in which metastasis group(8/13=61.5%) was significantly higher than those group without metastasis(7/17=41.2%)(P0.05).Conclusion:Tissue microarray technology can quickly and efficiently carry through various testing and analysis on a large number of tumor tissue samples,It is low-cost,strong comparability,hand-made is simple and economical,can be widely applied to various aspects of tumor pathology.Application of tissue microarray technology have detected ER,PR were expressed in a variety of tumors,suggesting that both those were related with a variety of tumors;proved P53 gene mutation is an early event in lung cancer,participated in the development of lung cancer;The certain loss of expression rate of P16 gene in squamous cell lung cancer indicated it related with tumor prognostic factors whether metastasis or not.
Key concepts: Tissue microarray, Lung cancer, Cancer, Pathology, Microarray, Metastasis, Immunohistochemistry, Carcinoma