Literature DB >> 33493455

Application of high-throughput gene sequencing in lymphoma.

Xiao Lv1, Qian Wang2, Xueling Ge1, Chao Xue3, Xin Liu4.   

Abstract

As a malignant tumor originating from the lymphoid hematopoietic tissues, lymphoma has an increased incidence in recent years and has ranked among the top ten malignant tumors in the world. But until now, due to the multiple pathological subtypes and the unclear molecular mechanism, it's still difficult to make rapid diagnosis and accurate prognosis assessment for lymphoma patients. Recently, the development of high-throughput gene sequencing technology has provided the possibility to solve these clinical problems. This technology has realized large-scale screening of specific markers for lymphoma at the molecular biology level, followed by discovery of prognostic indicators and biological targets for new drug research. In this paper, we summarize the results of large-scale high-throughput gene sequencing research, and introduce the genetic changes associated with occurrence and prognosis of lymphomas with different pathological subtypes, hoping to further promote the application of this technology in clinical research of lymphoma.
Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  High-throughput gene sequencing; Hodgkin lymphoma; Mature B-cell lymphoma; Mature T- and NK-cell lymphoma

Mesh:

Year:  2021        PMID: 33493455     DOI: 10.1016/j.yexmp.2021.104606

Source DB:  PubMed          Journal:  Exp Mol Pathol        ISSN: 0014-4800            Impact factor:   3.362


  1 in total

1.  Multimodal deep learning model on interim [18F]FDG PET/CT for predicting primary treatment failure in diffuse large B-cell lymphoma.

Authors:  Cheng Yuan; Qing Shi; Xinyun Huang; Li Wang; Yang He; Biao Li; Weili Zhao; Dahong Qian
Journal:  Eur Radiol       Date:  2022-08-27       Impact factor: 7.034

  1 in total

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