A comprehensive analysis of RHOA mutation positive and negative angioimmunoblastic T-cell�lymphomas by targeted deep sequencing, expression profiling and single cell digital image analysis
Author:
Affiliation:
1. Department of Pathology, Stanford University, Stanford, CA 94305, USA
2. Agilent Technologies, Santa Clara, CA 95051, USA
Publisher
Spandidos Publications
Subject
Genetics,General Medicine
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
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2. Profiling endogenous, environmental, and infectious disease mutational signatures in blastic plasmacytoid dendritic cell neoplasms;International Journal of Laboratory Hematology;2023-06-06
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4. Follicular Helper T-Cell–derived Nodal Lymphomas: Study of Histomorphologic, Immunophenotypic, Clinical, and RHOA G17V Mutational Profile;Applied Immunohistochemistry & Molecular Morphology;2023-02-20
5. Genetic abnormalities assist in pathological diagnosis and EBV-positive cell density impact survival in Chinese angioimmunoblastic T-cell lymphoma patients;Chinese Journal of Cancer Research;2023
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