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Articles 1021 - 1022 of 1022
Full-Text Articles in Medical Specialties
Clinical Implication Of Genome-Wide Profiling In Diffuse Large B-Cell Lymphoma And Other Subtypes Of B-Cell Lymphoma., Javeed Iqbal, Shantaram Joshi, Kavita N. Patel, Sofi I. Javed, Can Kucuk, Afeera Aabida, Francesco D'Amore, Kai Fu
Clinical Implication Of Genome-Wide Profiling In Diffuse Large B-Cell Lymphoma And Other Subtypes Of B-Cell Lymphoma., Javeed Iqbal, Shantaram Joshi, Kavita N. Patel, Sofi I. Javed, Can Kucuk, Afeera Aabida, Francesco D'Amore, Kai Fu
Journal Articles: Pathology and Microbiology
The differentiation of lymphoid cells is tightly regulated by transcription factors at various stages during their development. During the maturation processes, different genomic alterations or aberrations such as chromosomal translocation, mutation and deletions may occur that can eventually result in distinct biological and clinical tumors. The different differentiation stages create heterogeneity in lymphoid malignancies, which can complicate the diagnosis. The initial diagnostic scheme for lymphoid diseases was coined by Rappaport followed by Revised European and American Classification of Lymphoid Neoplasms (REAL) and World Health Organization (WHO) classifications. These classification methods were based on histological, immunophenotypic and cytogenetic markers and widely …
Evaluating Markers For Selecting A Patient's Treatment, Xiao Song, Margaret S. Pepe
Evaluating Markers For Selecting A Patient's Treatment, Xiao Song, Margaret S. Pepe
UW Biostatistics Working Paper Series
Selecting the best treatment for a patient's disease may be facilitated by evaluating clinical characteristics or biomarker measurements at diagnosis. We consider how to evaluate the potential of such measurements to impact on treatment selection algorithms. For example, magnetic resonance neurographic imaging is potentially useful for deciding whether a patient should be treated surgically for carpal tunnel syndrome or if he/she should receive less invasive conservative therapy. We propose a graphical display, the selection impact (SI) curve, that shows the population response rate as a function of treatment selection criteria based on the marker. The curve can be useful for …