Signal Pathways and Therapeutic Prospects of Diffuse Large B Cell Lymphoma

Author:

Sun Feifei1ORCID,Fang Xiaosheng1ORCID,Wang Xin1ORCID

Affiliation:

1. Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong University, No.324, Jingwu Road, Jinan, Shandong 250021, China

Abstract

Background: Diffuse Large B Cell Lymphoma (DLBCL) is the most common type of non-Hodgkin lymphoma which is heterogeneous both clinically and morphologically. Over the past decades, significant advances have been made in the understanding of the molecular genesis, leading to the identification of multiple pathways and molecules that can be targeted for clinical benefit. Objective: The current review aims to present a brief overview of signal pathways of DLBCL, which mainly focus on B-cell antigen Receptor (BCR), Nuclear Factor-κB (NF-κB), Phosphatidylinositol-3-Kinase (PI3K) – protein kinase B (Akt) – mammalian Target of Rapamycin (mTOR), Janus Kinase (JAK) – Signal Transducer and Activator (STAT), Wnt/β-catenin, and P53 pathways. Methods: Activation of signal pathways may contribute to the generation, development, chemotherapy sensitivity of DLBCL, and expression of pathway molecules is associated with the prognosis of DLBCL. Some agents targeting these pathways have been proved effective and relevant clinical trials are in progress. These agents used single or combined with chemotherapy/each other might raise the possibility of improving clinical outcomes in DLBCL. Conclusion: This review presents several signal pathways of DLBCL and targeted agents had a tendency to improve the curative effect, especially in high-risk or relapsed/refractory DLBCL.

Funder

Jinan Science and Technology Bureau

Technology Development Projects of Shandong Province

Key Research and Development Program of Shandong Province

National Natural Science Foundation

Publisher

Bentham Science Publishers Ltd.

Subject

Cancer Research,Pharmacology,Molecular Medicine

Reference112 articles.

1. A clinical evaluation of the International Lymphoma Study Group classification of non-Hodgkin’s lymphoma. The Non-Hodgkin’s Lymphoma Classification Project. Blood 1997,89(11),3909-3918

2. Hans C.P.; Weisenburger D.D.; Greiner T.C.; Gascoyne R.D.; Delabie J.; Ott G.; Müller-Hermelink H.K.; Campo E.; Braziel R.M.; Jaffe E.S.; Pan Z.; Farinha P.; Smith L.M.; Falini B.; Banham A.H.; Rosenwald A.; Staudt L.M.; Connors J.M.; Armitage J.O.; Chan W.C.; Confirmation of the molecular classification of diffuse large B-cell lymphoma by immunohistochemistry using a tissue microarray. Blood 2004,103(1),275-282

3. Rosenwald A.; Wright G.; Chan W.C.; Connors J.M.; Campo E.; Fisher R.I.; Gascoyne R.D.; Muller-Hermelink H.K.; Smeland E.B.; Giltnane J.M.; Hurt E.M.; Zhao H.; Averett L.; Yang L.; Wilson W.H.; Jaffe E.S.; Simon R.; Klausner R.D.; Powell J.; Duffey P.L.; Longo D.L.; Greiner T.C.; Weisenburger D.D.; Sanger W.G.; Dave B.J.; Lynch J.C.; Vose J.; Armitage J.O.; Montserrat E.; López-Guillermo A.; Grogan T.M.; Miller T.P.; LeBlanc M.; Ott G.; Kvaloy S.; Delabie J.; Holte H.; Krajci P.; Stokke T.; Staudt L.M.; Lymphoma/Leukemia Molecular Profiling Project. The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma. N Engl J Med 2002,346(25),1937-1947

4. Lu T.X.; Miao Y.; Wu J.Z.; Gong Q.X.; Liang J.H.; Wang Z.; Wang L.; Fan L.; Hua D.; Chen Y.Y.; Xu W.; Zhang Z.H.; Li J.Y.; The distinct clinical features and prognosis of the CD10MUM1 and CD10Bcl6MUM1 diffuse large B-cell lymphoma. Sci Rep 2016,6,20465

5. Epperla N.; Maddocks K.J.; Salhab M.; Chavez J.C.; Reddy N.; Karmali R.; Umyarova E.; Bachanova V.; Costa C.; Glenn M.; Calzada O.; Xavier A.C.; Zhou Z.; Hossain N.M.; Hernandez-Ilizaliturri F.J.; Al-Mansour Z.; Barta S.K.; Chhabra S.; Lansigan F.; Mehta A.; Jaglal M.V.; Evens A.M.; Flowers C.R.; Cohen J.B.; Fenske T.S.; Hamadani M.; Costa L.J.; C-MYC-positive relapsed and refractory, diffuse large B-cell lymphoma: Impact of additional “hits” and outcomes with subsequent therapy. Cancer 2017,123(22),4411-4418

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3