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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Blood Res</journal-id>
<journal-title-group>
<journal-title>Blood research</journal-title>
<abbrev-journal-title abbrev-type="publisher">Blood Res</abbrev-journal-title>
</journal-title-group>
<issn pub-type="ppub">2287-979X</issn>
<issn pub-type="epub">2288-0011</issn>
<publisher>
<publisher-name>Korean Society of Hematology; Korean Society of Blood and Marrow Transplantation; Korean Society of Pediatric Hematology-Oncology; Korean Society on Thrombosis and Hemostasis</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5045/br.2021.2021049</article-id>
<article-id pub-id-type="publisher-id">br-56-s1-75</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Review Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Genomics of diffuse large B cell lymphoma</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Koh</surname><given-names>Youngil</given-names></name>
<xref rid="aff1" ref-type="aff"/>
<xref rid="cor1" ref-type="corresp"/>
</contrib>
</contrib-group>
<aff id="aff1">Department of Internal Medicine, Seoul National University Hospital, Seoul, <country>Korea</country></aff>
<author-notes>
<corresp id="cor1">
<bold>Correspondence to</bold> Youngil Koh, M.D., Department of Internal Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul 03080, Korea, E-mail: <email xlink:href="go01@snu.ac.kr">go01@snu.ac.kr</email>
</corresp>
</author-notes>
<pub-date pub-type="ppub">
<day>30</day>
<month>4</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>30</day>
<month>4</month>
<year>2021</year>
</pub-date>
<volume>56</volume>
<issue>S1</issue>
<fpage>75</fpage>
<lpage>79</lpage>
<history>
<date date-type="received">
<day>3</day>
<month>3</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>3</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>&#169; 2021 Korean Society of Hematology</copyright-statement>
<copyright-year>2021</copyright-year>
<license license-type="open-access">
<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/4.0">http://creativecommons.org/licenses/by-nc/4.0</ext-link>) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<abstract>
<p>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.</p>
</abstract>
<kwd-group>
<kwd>DLBCL</kwd>
<kwd>NGS</kwd>
<kwd>RNA</kwd>
<kwd>Clustering</kwd>
<kwd>Classification</kwd>
<kwd>Genomics</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="introduction">
<title>INTRODUCTION</title>
<p>Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease. Attempts to classify DLBCL dates back to the early 2000s, and the cell-of-origin (COO) approach was attempted based on RNA expression data [<xref rid="ref1" ref-type="bibr">1</xref>]. This is closely related to the pathogenesis of DLBCL, because it is an attempt to distinguish the time point of lymphoma development based on the germinal center reaction.</p>
<p>Since 2010, with the development of the next generation sequencing (NGS) technique, information on many mutations has accumulated at the DNA level, and studies on this mutation have also been published in the DLBCL field. Since the research on the level of DNA in cancer is closely related to the development of targeted therapeutics, these studies are expected to be used as a meaningful starting point for the development of novel therapeutics for DLBCL. In this paper, we review recent studies at the DNA level of a typical DLBCL and discuss future perspectives.</p>
<sec>
<title>Recent anecdotal studies </title>
<p>(1) Reddy <italic>et al</italic>.&#8217;s research was published in the Cell magazine in 2017 [<xref rid="ref2" ref-type="bibr">2</xref>]. The results of whole-exome sequencing-based studies of 1,001 patients were combined with cell line experiments using the CRISPR technique. Important mutations in the activated B cell-like (ABC) and germinal center B-cell-like (GCB) DLBCL were also listed. Based on these results, <italic>MYD88</italic> was selected as an essential mutation in the ABC, whereas <italic>XPO1</italic> was selected as an essential mutation in GCB DLBCL. However, this study did not explain DNA mutation-based disease clustering, but only explained the existing RNA-based or translocation-based classification with DNA mutations. Rather, they focused on the prognostic significance of the mutations (<xref rid="F1" ref-type="fig">Fig. 1</xref>).</p>
<p>(2) Chapuy <italic>et al</italic>.&#8217;s study was published in the journal Nature Medicine in 2018 [<xref rid="ref3" ref-type="bibr">3</xref>], and this study had a great significance in the sense that DNA-based classification of DLBCL was successfully performed. Whole exome sequencing was performed on 304 patients, and DLBCL was classified into C1-C5 subtypes. It should be noted that this classification was characterized by not only DNA mutation information but also relatively various information, such as fusion and chromosomal abnormality.</p>
<p>(3) Schmitz <italic>et al</italic>.&#8217;s study was introduced in the New England Journal of Medicine (NEJM) in 2018 [<xref rid="ref4" ref-type="bibr">4</xref>], and this study classified DLBCL into four categories based on DNA mutations and major fusions. Whole exome sequencing was performed with a sample of 574 patients, and they were classified into the multi-centric Castleman&#8217;s disease (MCD), BN2, N1, and EZB groups (<xref rid="F2" ref-type="fig">Fig. 2</xref>).</p>
<p>There are many common denominators in the studies caried out by Chapuy and Schmitz; for example, MCD is almost the same as C5, and EZB is almost the same as C3. However, there are some discrepancies, which are thought to originate from the different input data and the differences in the study population.</p>
<p>(4) Lastly, although not at the DNA level, I introduce an important study based on protein-protein interaction [<xref rid="ref5" ref-type="bibr">5</xref>]. Phelan <italic>et al</italic>. [<xref rid="ref5" ref-type="bibr">5</xref>] demonstrated that <italic>MYD88</italic>, <italic>TLR9</italic>, and B Cell Receptor (BCR) combine to form a supercomplex using CRISPR screening and protein-ligation assay (PLA), which is an important biomarker for predicting the response to Bruton&#8217;s tyrosine kinase inhibitors. However, because PLA is not a technique widely applicable in clinical practice, the technical barrier to measure the appropriate protein-protein interaction must be overcome if this supercomplex is to be utilized in clinical practice (<xref rid="F3" ref-type="fig">Fig. 3</xref>).</p>
</sec>
<sec>
<title>New trends</title>
<p><bold>Statistical clustering of DLBCL:</bold> Rather than making novel discoveries for pathogenesis based on previous studies, attempts to elaborate the classification of DLBCL are ongoing. Research using big-data-based clustering techniques is in full swing. Such a clustering approach has already been introduced for acute myeloid leukemia [<xref rid="ref6" ref-type="bibr">6</xref>], where cancer genomic research has been initiated. Similar attempts have been made for DLBCL. The following are some recent studies:</p>
<list list-type="simple">
<list-item><p>- Lacy <italic>et al</italic>. [<xref rid="ref7" ref-type="bibr">7</xref>] performed 293-gene targeted panel sequencing in a cohort of 928 patients. Although <italic>MYD88</italic>, <italic>BCL2</italic>, and NOTCH were the same as in previous studies, it was suggested that a new category of <italic>TET2/SGK1</italic> and <italic>SOCS1/SGK1</italic> mutation-driven DLBCL may exist. The characteristic of this study is that gene expression profiling was performed simultaneously in 519 patients, and mutations were analyzed once based on expression data (<xref rid="F4" ref-type="fig">Fig. 4</xref>).</p></list-item>
<list-item><p>- Wright <italic>et al</italic>. [<xref rid="ref8" ref-type="bibr">8</xref>] again attempted a reclassification based on mutation and translocation in various cohorts based on the research conducted by Schmitz, and conducted the most complete research so far. They succeeded in adding a new category called ST2 (<italic>SGK1/TET2</italic> mutation-driven). They found that the <italic>MYC</italic> rearrangement status was important only in the EZB subtype (<xref rid="F5" ref-type="fig">Fig. 5</xref>).</p></list-item>
</list>
<p><bold>Returning to the cell of origin with genomic profiling:</bold> In the other direction, studies are ongoing to trace the cell of origin based on these mutation approaches. On the solid cancer side, mutation studies on metastasis of unknown primary/origin have been conducted to identify the cell of origin based on molecular characterization [<xref rid="ref9" ref-type="bibr">9</xref>]. This molecular testing-based COO finding would be useful in lymphoma areas where biopsy is not always feasible. In particular, it will be a tool that can properly utilize effective treatments, such as bendamustine and ibrutinib for specific types of lymphomas for DLBCL.</p>
<p>According to Wright <italic>et al</italic>. [<xref rid="ref8" ref-type="bibr">8</xref>], MCD DLBCL was very similar to primary central nervous system lymphoma, and the BN2 subtype was very similar to the marginal zone B cell lymphoma. On the contrary, it was confirmed that the EZB type was similar to the follicular lymphoma. Interestingly, the newly discovered ST2 type was similar to the T-cell/histiocyte-rich B-cell lymphoma or nodular lymphocyte predominant Hodgkin lymphoma. Therefore, it may be possible to appropriately treat one of the various DLBCL salvage regimens according to this molecular classification (<xref rid="F6" ref-type="fig">Fig. 6</xref>).</p>
<p><bold>New drug discovery with genomics:</bold> Finally, an attempt is being made to develop a new drug based on molecular testing. The discovery of the My-T-BCR supercomplex and the development of new drugs based on the CBM complex are expected to open the era of truly customized treatment for DLBCL.</p>
</sec>
<sec>
<title>Korean perspective </title>
<p>In Korea, the NGS panel for DLBCL is also reimbursed, but DLBCL has a distinct mutation profile from other cancers; thus, a custom design is required. Considering the domestic lab-developed test type service behavior, it is thought that the consensus of domestic pathologists and laboratory medicine physicians is necessary for the nationwide expansion of appropriate lymphoma panel services. Only when appropriate panel services are performed in domestic hospitals can domestic real-world data-based DLBCL research be properly conducted in the future.</p>
</sec>
</sec>
<sec sec-type="conclusion">
<title>CONCLUSION</title>
<p>Recently revealed DNA based new genomic classification would be more frequently utilized for precision treatment of DLBCL.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="conflict">
<p><bold>Authors&#8217; Disclosures of Potential Conflicts of Interest</bold></p>
<p>No potential conflicts of interest relevant to this article were reported.</p>
</fn>
</fn-group>
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<sec sec-type="display-objects">
<title>Figures</title>
<fig id="F1" position="float">
<label>Fig. 1</label>
<caption>
<p>Essential gene mutations in diffuse large B-cell lymphoma (Reddy <italic>et al</italic>. 2017).</p>
</caption>
<graphic xlink:href="br-56-s1-75-f1.tif"/>
</fig>
<fig id="F2" position="float">
<label>Fig. 2</label>
<caption>
<p>Mutation based on the new classification of diffuse large B-cell lymphoma (Schmitz <italic>et al</italic>. 2018).</p>
</caption>
<graphic xlink:href="br-56-s1-75-f2.tif"/>
</fig>
<fig id="F3" position="float">
<label>Fig. 3</label>
<caption>
<p>My-T-BCR supercomplex in diffuse large B-cell lymphoma (Phelan <italic>et al</italic>. 2018).</p>
</caption>
<graphic xlink:href="br-56-s1-75-f3.tif"/>
</fig>
<fig id="F4" position="float">
<label>Fig. 4</label>
<caption>
<p>Classification of diffuse large B-cell lymphoma and expression data (Lacy <italic>et al</italic>. 2020).</p>
</caption>
<graphic xlink:href="br-56-s1-75-f4.tif"/>
</fig>
<fig id="F5" position="float">
<label>Fig. 5</label>
<caption>
<p>Classification of diffuse large B-cell lymphoma based on genetics (Wright <italic>et al</italic>. 2020).</p>
</caption>
<graphic xlink:href="br-56-s1-75-f5.tif"/>
</fig>
<fig id="F6" position="float">
<label>Fig. 6</label>
<caption>
<p>Genomics and lymphoma subtypes (Wright <italic>et al</italic>. 2020).</p>
</caption>
<graphic xlink:href="br-56-s1-75-f6.tif"/>
</fig>
</sec>
</back>
</article>