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Blood Res 2021; 56(S1):

Published online April 30, 2021

https://doi.org/10.5045/br.2021.2021049

© The Korean Society of Hematology

Genomics of diffuse large B cell lymphoma

Youngil Koh

Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea

Correspondence to : Youngil Koh, M.D.
Department of Internal Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul 03080, Korea
E-mail: go01@snu.ac.kr

Received: March 3, 2021; Accepted: March 29, 2021

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Next generation sequencing (NGS) technology has revealed the heterogeneity of diffuse large B-cell lymphoma (DLBCL) from a mutation perspective. Accordingly, the conventional cell of origin-based classification of DLBCL has changed to a mutation-based classification. Mutation analysis delineates that B-cell receptor pathway activation, EZH2 mutation, and NOTCH mutations are distinctive drivers of DLBCL. Moreover, the combination of RNA expression data and DNA mutation results suggests similarity between DLBCL subtypes and other non-Hodgkin lymphomas. NGS-based dissection of DLBCL would be the cornerstone for precision treatment in this heterogeneous disease in the near future.

Keywords DLBCL, NGS, RNA, Clustering, Classification, Genomics

Article

Review Article

Blood Res 2021; 56(S1): S75-S79

Published online April 30, 2021 https://doi.org/10.5045/br.2021.2021049

Copyright © The Korean Society of Hematology.

Genomics of diffuse large B cell lymphoma

Youngil Koh

Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea

Correspondence to:Youngil Koh, M.D.
Department of Internal Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul 03080, Korea
E-mail: go01@snu.ac.kr

Received: March 3, 2021; Accepted: March 29, 2021

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Next generation sequencing (NGS) technology has revealed the heterogeneity of diffuse large B-cell lymphoma (DLBCL) from a mutation perspective. Accordingly, the conventional cell of origin-based classification of DLBCL has changed to a mutation-based classification. Mutation analysis delineates that B-cell receptor pathway activation, EZH2 mutation, and NOTCH mutations are distinctive drivers of DLBCL. Moreover, the combination of RNA expression data and DNA mutation results suggests similarity between DLBCL subtypes and other non-Hodgkin lymphomas. NGS-based dissection of DLBCL would be the cornerstone for precision treatment in this heterogeneous disease in the near future.

Keywords: DLBCL, NGS, RNA, Clustering, Classification, Genomics

Fig 1.

Figure 1.Essential gene mutations in diffuse large B-cell lymphoma (Reddy et al. 2017).
Blood Research 2021; 56: S75-S79https://doi.org/10.5045/br.2021.2021049

Fig 2.

Figure 2.Mutation based on the new classification of diffuse large B-cell lymphoma (Schmitz et al. 2018).
Blood Research 2021; 56: S75-S79https://doi.org/10.5045/br.2021.2021049

Fig 3.

Figure 3.My-T-BCR supercomplex in diffuse large B-cell lymphoma (Phelan et al. 2018).
Blood Research 2021; 56: S75-S79https://doi.org/10.5045/br.2021.2021049

Fig 4.

Figure 4.Classification of diffuse large B-cell lymphoma and expression data (Lacy et al. 2020).
Blood Research 2021; 56: S75-S79https://doi.org/10.5045/br.2021.2021049

Fig 5.

Figure 5.Classification of diffuse large B-cell lymphoma based on genetics (Wright et al. 2020).
Blood Research 2021; 56: S75-S79https://doi.org/10.5045/br.2021.2021049

Fig 6.

Figure 6.Genomics and lymphoma subtypes (Wright et al. 2020).
Blood Research 2021; 56: S75-S79https://doi.org/10.5045/br.2021.2021049
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