Gene expression profiling of primary vitreoretinal lymphoma
The characteristics of tumor cells of primary vitreoretinal lymphoma (PVRL) have not been defined, although researches have shown that most cases are of diffuse large B‐cell lymphoma (DLBCL). To determine the subtype and biological characteristics of tumor cells of PVRL, we performed a gene expressi...
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| Veröffentlicht in: | Cancer science 2020-04, Vol.111 (4), p.1417-1421 |
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| creator | Arai, Ayako Takase, Hiroshi Yoshimori, Mayumi Yamamoto, Kouhei Mochizuki, Manabu Miura, Osamu |
| description | The characteristics of tumor cells of primary vitreoretinal lymphoma (PVRL) have not been defined, although researches have shown that most cases are of diffuse large B‐cell lymphoma (DLBCL). To determine the subtype and biological characteristics of tumor cells of PVRL, we performed a gene expression profiling analysis. RNA was extracted from the vitreous fluid of 7 PVRL patients and from nodal samples of 10 DLBCL patients: 6 of germinal center B‐cell (GCB) type and 4 of activated B‐cell (ABC) type determined by Hans’ criteria. Six PVRL samples showed gene expression profiles that were similar to each other. The patterns were different from those of the ABC‐type nodular DLBCL but relatively close to those of the GCB‐type nodular DLBCL. Interestingly, all of the 6 examined PVRL samples had either MYD88L265P or mutation in the immunoreceptor tyrosine‐based activation motif (ITAM) region of CD79B. Five PVRL patients with similar gene expression profiles were treated with a standardized regimen: intravitreal administration of methotrexate (MTX) followed by six courses of systemic high doses of MTX. As a result, 2 patients had CD79B mutations and showed early central nervous system (CNS) progression. Patients without CNS progression did not have this mutation. In conclusion, PVRL had unique genetic features: an expression pattern different from ABC‐type and relatively close to GCB‐type DLBCL. CD79B mutations showed potential to serve as prognostic markers for CNS progression.
To determine the subtype and biological characteristics of tumor cells of primary vitreoretinal lymphoma (PVRL), we performed gene expression profiling analysis using RNA extracted from vitreous samples upon diagnosis. PVRL had unique genetic features: an expression pattern different from ABC‐type and relatively close to GCB‐type DLBCL. CD79B mutations showed potential to serve as prognostic markers for CNS progression. |
| doi_str_mv | 10.1111/cas.14347 |
| format | Article |
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To determine the subtype and biological characteristics of tumor cells of primary vitreoretinal lymphoma (PVRL), we performed gene expression profiling analysis using RNA extracted from vitreous samples upon diagnosis. PVRL had unique genetic features: an expression pattern different from ABC‐type and relatively close to GCB‐type DLBCL. CD79B mutations showed potential to serve as prognostic markers for CNS progression.</description><identifier>ISSN: 1347-9032</identifier><identifier>EISSN: 1349-7006</identifier><identifier>DOI: 10.1111/cas.14347</identifier><identifier>PMID: 32056332</identifier><language>eng</language><publisher>HOBOKEN: Wiley</publisher><subject>Aged ; Antigens ; B-Lymphocytes - pathology ; Biomarkers, Tumor - genetics ; CD79 Antigens - genetics ; CD79B ; Cell division ; Central nervous system ; Central Nervous System - pathology ; Clustering ; Data analysis ; diffuse large B‐cell lymphoma ; Female ; Flow Cytometry ; GCB‐type DLBCL ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Humans ; Hybridization ; Immunoreceptor tyrosine-based activation motif ; Life Sciences & Biomedicine ; Lymphatic system ; Lymphoma ; Lymphoma, Large B-Cell, Diffuse - genetics ; Lymphoma, Large B-Cell, Diffuse - pathology ; Male ; Methotrexate ; Microarray Analysis ; Mutation ; Oncology ; Original ; primary vitreoretinal lymphoma ; Retinal Neoplasms - genetics ; Retinal Neoplasms - pathology ; Ribonucleic acid ; RNA ; Science & Technology ; Software ; Tumor cells ; Tyrosine ; Vitreous Body - metabolism ; Vitreous Body - pathology</subject><ispartof>Cancer science, 2020-04, Vol.111 (4), p.1417-1421</ispartof><rights>2020 The Authors. published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association.</rights><rights>2020 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association.</rights><rights>2020. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>15</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000519290600001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c5337-df7d590ee34a6d47a02816a375eb3f41711f6627249543ed425479a15a682f203</citedby><cites>FETCH-LOGICAL-c5337-df7d590ee34a6d47a02816a375eb3f41711f6627249543ed425479a15a682f203</cites><orcidid>0000-0002-8275-5372 ; 0000-0001-8327-803X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156859/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156859/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,1418,2115,11567,27929,27930,28253,45579,45580,46057,46481,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32056332$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Arai, Ayako</creatorcontrib><creatorcontrib>Takase, Hiroshi</creatorcontrib><creatorcontrib>Yoshimori, Mayumi</creatorcontrib><creatorcontrib>Yamamoto, Kouhei</creatorcontrib><creatorcontrib>Mochizuki, Manabu</creatorcontrib><creatorcontrib>Miura, Osamu</creatorcontrib><title>Gene expression profiling of primary vitreoretinal lymphoma</title><title>Cancer science</title><addtitle>CANCER SCI</addtitle><addtitle>Cancer Sci</addtitle><description>The characteristics of tumor cells of primary vitreoretinal lymphoma (PVRL) have not been defined, although researches have shown that most cases are of diffuse large B‐cell lymphoma (DLBCL). To determine the subtype and biological characteristics of tumor cells of PVRL, we performed a gene expression profiling analysis. RNA was extracted from the vitreous fluid of 7 PVRL patients and from nodal samples of 10 DLBCL patients: 6 of germinal center B‐cell (GCB) type and 4 of activated B‐cell (ABC) type determined by Hans’ criteria. Six PVRL samples showed gene expression profiles that were similar to each other. The patterns were different from those of the ABC‐type nodular DLBCL but relatively close to those of the GCB‐type nodular DLBCL. Interestingly, all of the 6 examined PVRL samples had either MYD88L265P or mutation in the immunoreceptor tyrosine‐based activation motif (ITAM) region of CD79B. Five PVRL patients with similar gene expression profiles were treated with a standardized regimen: intravitreal administration of methotrexate (MTX) followed by six courses of systemic high doses of MTX. As a result, 2 patients had CD79B mutations and showed early central nervous system (CNS) progression. Patients without CNS progression did not have this mutation. In conclusion, PVRL had unique genetic features: an expression pattern different from ABC‐type and relatively close to GCB‐type DLBCL. CD79B mutations showed potential to serve as prognostic markers for CNS progression.
To determine the subtype and biological characteristics of tumor cells of primary vitreoretinal lymphoma (PVRL), we performed gene expression profiling analysis using RNA extracted from vitreous samples upon diagnosis. PVRL had unique genetic features: an expression pattern different from ABC‐type and relatively close to GCB‐type DLBCL. CD79B mutations showed potential to serve as prognostic markers for CNS progression.</description><subject>Aged</subject><subject>Antigens</subject><subject>B-Lymphocytes - pathology</subject><subject>Biomarkers, Tumor - genetics</subject><subject>CD79 Antigens - genetics</subject><subject>CD79B</subject><subject>Cell division</subject><subject>Central nervous system</subject><subject>Central Nervous System - pathology</subject><subject>Clustering</subject><subject>Data analysis</subject><subject>diffuse large B‐cell lymphoma</subject><subject>Female</subject><subject>Flow Cytometry</subject><subject>GCB‐type DLBCL</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Humans</subject><subject>Hybridization</subject><subject>Immunoreceptor tyrosine-based activation motif</subject><subject>Life Sciences & Biomedicine</subject><subject>Lymphatic system</subject><subject>Lymphoma</subject><subject>Lymphoma, Large B-Cell, Diffuse - genetics</subject><subject>Lymphoma, Large B-Cell, Diffuse - pathology</subject><subject>Male</subject><subject>Methotrexate</subject><subject>Microarray Analysis</subject><subject>Mutation</subject><subject>Oncology</subject><subject>Original</subject><subject>primary vitreoretinal lymphoma</subject><subject>Retinal Neoplasms - genetics</subject><subject>Retinal Neoplasms - pathology</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>Science & Technology</subject><subject>Software</subject><subject>Tumor cells</subject><subject>Tyrosine</subject><subject>Vitreous Body - metabolism</subject><subject>Vitreous Body - pathology</subject><issn>1347-9032</issn><issn>1349-7006</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>AOWDO</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkV9rFDEUxQex2Fp98AvIgC-WMu3N_w0FoQy2FQo-qM8hO3PTpswkazJT3W_ftLsuKgjmJTfc3z05l1NVbwickHJOO5tPCGdcPasOCOO6UQDy-VOtGg2M7lcvc74DYJJr_qLaZxSEZIweVGeXGLDGn6uEOfsY6lWKzg8-3NTRlYcfbVrX935KGBNOPtihHtbj6jaO9lW15-yQ8fX2Pqy-XXz82l41158vP7Xn100nGFNN71QvNCAybmXPlQW6INIyJXDJHCeKECclVZRrwRn2nAqutCXCygV1FNhh9WGju5qXI_YdhinZwWzNmWi9-bMT_K25ifdGESEXQheB91uBFL_PmCcz-tzhMNiAcc6GMiF0-RZoQd_9hd7FOZWtHykNFIgEUaijDdWlmHNCtzNDwDxGYkok5imSwr793f2O_JVBAY43wA9cRpc7j6HDHQYAgmiqQZYKSKEX_0-3frJTSbWNc5jK6Ol21A-4_rdl055_2Xh_AGpxtS0</recordid><startdate>202004</startdate><enddate>202004</enddate><creator>Arai, Ayako</creator><creator>Takase, Hiroshi</creator><creator>Yoshimori, Mayumi</creator><creator>Yamamoto, Kouhei</creator><creator>Mochizuki, Manabu</creator><creator>Miura, Osamu</creator><general>Wiley</general><general>John Wiley & Sons, Inc</general><general>John Wiley and Sons Inc</general><scope>24P</scope><scope>WIN</scope><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-8275-5372</orcidid><orcidid>https://orcid.org/0000-0001-8327-803X</orcidid></search><sort><creationdate>202004</creationdate><title>Gene expression profiling of primary vitreoretinal lymphoma</title><author>Arai, Ayako ; Takase, Hiroshi ; Yoshimori, Mayumi ; Yamamoto, Kouhei ; Mochizuki, Manabu ; Miura, Osamu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5337-df7d590ee34a6d47a02816a375eb3f41711f6627249543ed425479a15a682f203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aged</topic><topic>Antigens</topic><topic>B-Lymphocytes - pathology</topic><topic>Biomarkers, Tumor - genetics</topic><topic>CD79 Antigens - genetics</topic><topic>CD79B</topic><topic>Cell division</topic><topic>Central nervous system</topic><topic>Central Nervous System - pathology</topic><topic>Clustering</topic><topic>Data analysis</topic><topic>diffuse large B‐cell lymphoma</topic><topic>Female</topic><topic>Flow Cytometry</topic><topic>GCB‐type DLBCL</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>Humans</topic><topic>Hybridization</topic><topic>Immunoreceptor tyrosine-based activation motif</topic><topic>Life Sciences & Biomedicine</topic><topic>Lymphatic system</topic><topic>Lymphoma</topic><topic>Lymphoma, Large B-Cell, Diffuse - genetics</topic><topic>Lymphoma, Large B-Cell, Diffuse - pathology</topic><topic>Male</topic><topic>Methotrexate</topic><topic>Microarray Analysis</topic><topic>Mutation</topic><topic>Oncology</topic><topic>Original</topic><topic>primary vitreoretinal lymphoma</topic><topic>Retinal Neoplasms - genetics</topic><topic>Retinal Neoplasms - pathology</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>Science & Technology</topic><topic>Software</topic><topic>Tumor cells</topic><topic>Tyrosine</topic><topic>Vitreous Body - metabolism</topic><topic>Vitreous Body - pathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Arai, Ayako</creatorcontrib><creatorcontrib>Takase, Hiroshi</creatorcontrib><creatorcontrib>Yoshimori, Mayumi</creatorcontrib><creatorcontrib>Yamamoto, Kouhei</creatorcontrib><creatorcontrib>Mochizuki, Manabu</creatorcontrib><creatorcontrib>Miura, Osamu</creatorcontrib><collection>Wiley Online Library (Open Access Collection)</collection><collection>Wiley Online Library (Open Access Collection)</collection><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Cancer science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Arai, Ayako</au><au>Takase, Hiroshi</au><au>Yoshimori, Mayumi</au><au>Yamamoto, Kouhei</au><au>Mochizuki, Manabu</au><au>Miura, Osamu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gene expression profiling of primary vitreoretinal lymphoma</atitle><jtitle>Cancer science</jtitle><stitle>CANCER SCI</stitle><addtitle>Cancer Sci</addtitle><date>2020-04</date><risdate>2020</risdate><volume>111</volume><issue>4</issue><spage>1417</spage><epage>1421</epage><pages>1417-1421</pages><issn>1347-9032</issn><eissn>1349-7006</eissn><abstract>The characteristics of tumor cells of primary vitreoretinal lymphoma (PVRL) have not been defined, although researches have shown that most cases are of diffuse large B‐cell lymphoma (DLBCL). To determine the subtype and biological characteristics of tumor cells of PVRL, we performed a gene expression profiling analysis. RNA was extracted from the vitreous fluid of 7 PVRL patients and from nodal samples of 10 DLBCL patients: 6 of germinal center B‐cell (GCB) type and 4 of activated B‐cell (ABC) type determined by Hans’ criteria. Six PVRL samples showed gene expression profiles that were similar to each other. The patterns were different from those of the ABC‐type nodular DLBCL but relatively close to those of the GCB‐type nodular DLBCL. Interestingly, all of the 6 examined PVRL samples had either MYD88L265P or mutation in the immunoreceptor tyrosine‐based activation motif (ITAM) region of CD79B. Five PVRL patients with similar gene expression profiles were treated with a standardized regimen: intravitreal administration of methotrexate (MTX) followed by six courses of systemic high doses of MTX. As a result, 2 patients had CD79B mutations and showed early central nervous system (CNS) progression. Patients without CNS progression did not have this mutation. In conclusion, PVRL had unique genetic features: an expression pattern different from ABC‐type and relatively close to GCB‐type DLBCL. CD79B mutations showed potential to serve as prognostic markers for CNS progression.
To determine the subtype and biological characteristics of tumor cells of primary vitreoretinal lymphoma (PVRL), we performed gene expression profiling analysis using RNA extracted from vitreous samples upon diagnosis. PVRL had unique genetic features: an expression pattern different from ABC‐type and relatively close to GCB‐type DLBCL. CD79B mutations showed potential to serve as prognostic markers for CNS progression.</abstract><cop>HOBOKEN</cop><pub>Wiley</pub><pmid>32056332</pmid><doi>10.1111/cas.14347</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0002-8275-5372</orcidid><orcidid>https://orcid.org/0000-0001-8327-803X</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Aged Antigens B-Lymphocytes - pathology Biomarkers, Tumor - genetics CD79 Antigens - genetics CD79B Cell division Central nervous system Central Nervous System - pathology Clustering Data analysis diffuse large B‐cell lymphoma Female Flow Cytometry GCB‐type DLBCL Gene expression Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Hybridization Immunoreceptor tyrosine-based activation motif Life Sciences & Biomedicine Lymphatic system Lymphoma Lymphoma, Large B-Cell, Diffuse - genetics Lymphoma, Large B-Cell, Diffuse - pathology Male Methotrexate Microarray Analysis Mutation Oncology Original primary vitreoretinal lymphoma Retinal Neoplasms - genetics Retinal Neoplasms - pathology Ribonucleic acid RNA Science & Technology Software Tumor cells Tyrosine Vitreous Body - metabolism Vitreous Body - pathology |
| title | Gene expression profiling of primary vitreoretinal lymphoma |
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