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CrossRef Text and Data Mining |
Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining. |
Utility of BRAF VE1 Immunohistochemistry as a Screening Tool for Colorectal Cancer Harboring BRAF V600E Mutation |
Jeong-Hwa Kwon, Byung-Kwan Jeong, Yong Sik Yoon, Chang Sik Yu, Jihun Kim |
JPTM. 2018;52(3):157-163. Published online 2018 March 29 DOI: https://doi.org/10.4132/jptm.2018.03.28 |
Utility of BRAF VE1 Immunohistochemistry as a Screening Tool for Colorectal Cancer Harboring BRAF V600E Mutation BRAF V600E mutation detection by immunohistochemistry in colorectal carcinoma Immunohistochemistry with Anti-BRAF V600E (VE1) Mouse Monoclonal Antibody is a Sensitive Method for Detection of the BRAF V600E Mutation in Colon Cancer: Evaluation of 120 Cases with and without KRAS Mutation and Literature Review Immunohistochemistry using the BRAF V600E mutation-specific monoclonal antibody VE1 is not a useful surrogate for genotyping in colorectal adenocarcinoma BRAF V600E-specific immunohistochemistry for the exclusion of Lynch syndrome in MSI-H colorectal cancer Comparison of Molecular Methods and BRAF Immunohistochemistry (VE1 Clone) for the Detection of BRAF V600E Mutation in Papillary Thyroid Carcinoma: A Meta-Analysis BRAF V600E mutation specific immunohistochemistry with clone VE1 is not reliable in pituitary adenomas Immunohistochemical detection of the BRAF V600E mutation in melanoma patients with monoclonal antibody VE1 Validation of the VE1 immunostain for theBRAFV600E mutation in melanoma VE1 immunohistochemistry in pituitary adenomas is not associated with BRAF V600E mutation |
This metadata service is kindly provided by CrossRef from May 29, 2014. J Pathol Transl Med has participated in CrossRef Text and Data Mining service since January 16, 2015. |