Distinct methylation profiles characterize fusion-positive and fusion-negative rhabdomyosarcoma
Rhabdomyosarcoma comprises two major subtypes, fusion positive ( PAX3–FOXO1 or PAX7–FOXO1 ) and fusion negative. To investigate the significance of DNA methylation in these subtypes, we analyzed methylation profiles of 37 rhabdomyosarcoma tumors and 10 rhabdomyosarcoma cell lines, as well as 8 norma...
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description | Rhabdomyosarcoma comprises two major subtypes, fusion positive (
PAX3–FOXO1
or
PAX7–FOXO1
) and fusion negative. To investigate the significance of DNA methylation in these subtypes, we analyzed methylation profiles of 37 rhabdomyosarcoma tumors and 10 rhabdomyosarcoma cell lines, as well as 8 normal tissues. Unsupervised clustering of DNA methylation clearly distinguished the fusion-positive and fusion-negative subsets. The fusion-positive tumors showed substantially lower overall levels of methylation compared with fusion-negative tumors. Comparison with the methylation pattern of normal skeletal muscle and bone marrow indicates that fusion-negative rhabdomyosarcoma is more similar to these normal tissues compared with fusion-positive rhabdomyosarcoma, and suggests that many of the methylation differences between these subtypes arise from ‘aberrant’ hyper- and hypomethylation events in fusion-positive rhabdomyosarcoma. Integrative methylation and gene expression analysis revealed that methylation differences between fusion-positive and fusion-negative tumors could either be positively or negatively associated with mRNA expression. There was no significant difference in the distribution of PAX3–FOXO1-binding sites between genes with and without differential methylation. However, the finding that PAX3–FOXO1-binding sites were enriched among genes that were both differentially methylated and differentially expressed suggests that the fusion protein interacts with DNA methylation to regulate target gene expression. An 11-gene DNA methylation signature, classifying the rhabdomyosarcoma tumors into fusion-positive and fusion-negative subsets, was established and validated by pyrosequencing assays. Notably,
EMILIN1
(part of the 11-gene signature) showed higher methylation and lower mRNA expression in fusion-positive compared with fusion-negative tumors, and demonstrated demethylation and re-expression in multiple fusion-positive cell lines after treatment with 5-aza-2′-deoxycytidine. In conclusion, our study demonstrates that fusion-positive and fusion-negative rhabdomyosarcoma tumors possess characteristic methylation profiles that contribute to the expression differences between these fusion subtypes. These findings indicate an important relationship between fusion status and epigenetic changes in rhabdomyosarcoma, present a novel approach for ascertaining fusion status, and may identify new therapeutic targets in rhabdomyosarcoma. |
doi_str_mv | 10.1038/modpathol.2015.82 |
format | Article |
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PAX3–FOXO1
or
PAX7–FOXO1
) and fusion negative. To investigate the significance of DNA methylation in these subtypes, we analyzed methylation profiles of 37 rhabdomyosarcoma tumors and 10 rhabdomyosarcoma cell lines, as well as 8 normal tissues. Unsupervised clustering of DNA methylation clearly distinguished the fusion-positive and fusion-negative subsets. The fusion-positive tumors showed substantially lower overall levels of methylation compared with fusion-negative tumors. Comparison with the methylation pattern of normal skeletal muscle and bone marrow indicates that fusion-negative rhabdomyosarcoma is more similar to these normal tissues compared with fusion-positive rhabdomyosarcoma, and suggests that many of the methylation differences between these subtypes arise from ‘aberrant’ hyper- and hypomethylation events in fusion-positive rhabdomyosarcoma. Integrative methylation and gene expression analysis revealed that methylation differences between fusion-positive and fusion-negative tumors could either be positively or negatively associated with mRNA expression. There was no significant difference in the distribution of PAX3–FOXO1-binding sites between genes with and without differential methylation. However, the finding that PAX3–FOXO1-binding sites were enriched among genes that were both differentially methylated and differentially expressed suggests that the fusion protein interacts with DNA methylation to regulate target gene expression. An 11-gene DNA methylation signature, classifying the rhabdomyosarcoma tumors into fusion-positive and fusion-negative subsets, was established and validated by pyrosequencing assays. Notably,
EMILIN1
(part of the 11-gene signature) showed higher methylation and lower mRNA expression in fusion-positive compared with fusion-negative tumors, and demonstrated demethylation and re-expression in multiple fusion-positive cell lines after treatment with 5-aza-2′-deoxycytidine. In conclusion, our study demonstrates that fusion-positive and fusion-negative rhabdomyosarcoma tumors possess characteristic methylation profiles that contribute to the expression differences between these fusion subtypes. These findings indicate an important relationship between fusion status and epigenetic changes in rhabdomyosarcoma, present a novel approach for ascertaining fusion status, and may identify new therapeutic targets in rhabdomyosarcoma.</description><identifier>ISSN: 0893-3952</identifier><identifier>EISSN: 1530-0285</identifier><identifier>DOI: 10.1038/modpathol.2015.82</identifier><identifier>PMID: 26226845</identifier><identifier>CODEN: MODPEO</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>38/22 ; 38/61 ; 38/77 ; 38/90 ; 631/67/2332 ; Binding sites ; Bone marrow ; Cancer ; Chromosomes ; Cluster Analysis ; DNA methylation ; DNA Methylation - genetics ; Epigenetics ; Gene expression ; Histology ; Humans ; In Situ Hybridization, Fluorescence ; Laboratory Medicine ; Medical research ; Medicine ; Medicine & Public Health ; Musculoskeletal system ; Oligonucleotide Array Sequence Analysis ; Oncogene Proteins, Fusion ; Oncology ; original-article ; Paired Box Transcription Factors ; Pathology ; Reverse Transcriptase Polymerase Chain Reaction ; Rhabdomyosarcoma - genetics ; Soft Tissue Neoplasms - genetics ; Transcriptome ; Tumors</subject><ispartof>Modern pathology, 2015-09, Vol.28 (9), p.1214-1224</ispartof><rights>United States & Canadian Academy of Pathology 2015</rights><rights>Copyright Nature Publishing Group Sep 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c639t-ec83b3f815e0ee46631c8d5fd48f743e995ad4b419b9c8ff48c53c5aa6ab407e3</citedby><cites>FETCH-LOGICAL-c639t-ec83b3f815e0ee46631c8d5fd48f743e995ad4b419b9c8ff48c53c5aa6ab407e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1708156029?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26226845$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sun, Wenyue</creatorcontrib><creatorcontrib>Chatterjee, Bishwanath</creatorcontrib><creatorcontrib>Wang, Yonghong</creatorcontrib><creatorcontrib>Stevenson, Holly S</creatorcontrib><creatorcontrib>Edelman, Daniel C</creatorcontrib><creatorcontrib>Meltzer, Paul S</creatorcontrib><creatorcontrib>Barr, Frederic G</creatorcontrib><title>Distinct methylation profiles characterize fusion-positive and fusion-negative rhabdomyosarcoma</title><title>Modern pathology</title><addtitle>Mod Pathol</addtitle><addtitle>Mod Pathol</addtitle><description>Rhabdomyosarcoma comprises two major subtypes, fusion positive (
PAX3–FOXO1
or
PAX7–FOXO1
) and fusion negative. To investigate the significance of DNA methylation in these subtypes, we analyzed methylation profiles of 37 rhabdomyosarcoma tumors and 10 rhabdomyosarcoma cell lines, as well as 8 normal tissues. Unsupervised clustering of DNA methylation clearly distinguished the fusion-positive and fusion-negative subsets. The fusion-positive tumors showed substantially lower overall levels of methylation compared with fusion-negative tumors. Comparison with the methylation pattern of normal skeletal muscle and bone marrow indicates that fusion-negative rhabdomyosarcoma is more similar to these normal tissues compared with fusion-positive rhabdomyosarcoma, and suggests that many of the methylation differences between these subtypes arise from ‘aberrant’ hyper- and hypomethylation events in fusion-positive rhabdomyosarcoma. Integrative methylation and gene expression analysis revealed that methylation differences between fusion-positive and fusion-negative tumors could either be positively or negatively associated with mRNA expression. There was no significant difference in the distribution of PAX3–FOXO1-binding sites between genes with and without differential methylation. However, the finding that PAX3–FOXO1-binding sites were enriched among genes that were both differentially methylated and differentially expressed suggests that the fusion protein interacts with DNA methylation to regulate target gene expression. An 11-gene DNA methylation signature, classifying the rhabdomyosarcoma tumors into fusion-positive and fusion-negative subsets, was established and validated by pyrosequencing assays. Notably,
EMILIN1
(part of the 11-gene signature) showed higher methylation and lower mRNA expression in fusion-positive compared with fusion-negative tumors, and demonstrated demethylation and re-expression in multiple fusion-positive cell lines after treatment with 5-aza-2′-deoxycytidine. In conclusion, our study demonstrates that fusion-positive and fusion-negative rhabdomyosarcoma tumors possess characteristic methylation profiles that contribute to the expression differences between these fusion subtypes. These findings indicate an important relationship between fusion status and epigenetic changes in rhabdomyosarcoma, present a novel approach for ascertaining fusion status, and may identify new therapeutic targets in rhabdomyosarcoma.</description><subject>38/22</subject><subject>38/61</subject><subject>38/77</subject><subject>38/90</subject><subject>631/67/2332</subject><subject>Binding sites</subject><subject>Bone marrow</subject><subject>Cancer</subject><subject>Chromosomes</subject><subject>Cluster Analysis</subject><subject>DNA methylation</subject><subject>DNA Methylation - genetics</subject><subject>Epigenetics</subject><subject>Gene expression</subject><subject>Histology</subject><subject>Humans</subject><subject>In Situ Hybridization, Fluorescence</subject><subject>Laboratory Medicine</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Musculoskeletal system</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Oncogene Proteins, Fusion</subject><subject>Oncology</subject><subject>original-article</subject><subject>Paired Box Transcription Factors</subject><subject>Pathology</subject><subject>Reverse Transcriptase Polymerase Chain Reaction</subject><subject>Rhabdomyosarcoma - genetics</subject><subject>Soft Tissue Neoplasms - genetics</subject><subject>Transcriptome</subject><subject>Tumors</subject><issn>0893-3952</issn><issn>1530-0285</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><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>eNqNkU1r3DAQhkVpabZpf0AvxdBLL97q2_KlUNJPCOSSnoUsj9YKtuVKcmD766tkkyUtBHIamPeZd6R5EXpL8JZgpj5OoV9MHsK4pZiIraLP0IYIhmtMlXiONli1rGatoCfoVUpXGBMuFH2JTqikVCouNkh_8Sn72eZqgjzsR5N9mKslBudHSJUdTDQ2Q_R_oHJrKmK9hOSzv4bKzP19b4adue3FwXR9mPYhmWjDZF6jF86MCd7c1VP069vXy7Mf9fnF959nn89rK1mba7CKdcwpIgADcCkZsaoXrufKNZxB2wrT846Ttmutco4rK5gVxkjTcdwAO0WfDr7L2k3QW5hzNKNeop9M3OtgvP5Xmf2gd-FaS8aFoLIYfLgziOH3CinryScL42hmCGvSpKGNbAjm-AloOTzGXDQFff8fehXWOJdL3FJESEzbQpEDZWNIKYI7vptgfZO0Piatb5LWipaZdw8_fJy4j7YA9ACkIs07iA9WP-r6F7cku44</recordid><startdate>20150901</startdate><enddate>20150901</enddate><creator>Sun, Wenyue</creator><creator>Chatterjee, Bishwanath</creator><creator>Wang, Yonghong</creator><creator>Stevenson, Holly S</creator><creator>Edelman, Daniel C</creator><creator>Meltzer, Paul S</creator><creator>Barr, Frederic G</creator><general>Nature Publishing Group US</general><general>Elsevier Limited</general><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>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8AO</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</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>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>7TM</scope><scope>5PM</scope></search><sort><creationdate>20150901</creationdate><title>Distinct methylation profiles characterize fusion-positive and fusion-negative rhabdomyosarcoma</title><author>Sun, Wenyue ; Chatterjee, Bishwanath ; Wang, Yonghong ; Stevenson, Holly S ; Edelman, Daniel C ; Meltzer, Paul S ; Barr, Frederic G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c639t-ec83b3f815e0ee46631c8d5fd48f743e995ad4b419b9c8ff48c53c5aa6ab407e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>38/22</topic><topic>38/61</topic><topic>38/77</topic><topic>38/90</topic><topic>631/67/2332</topic><topic>Binding sites</topic><topic>Bone marrow</topic><topic>Cancer</topic><topic>Chromosomes</topic><topic>Cluster Analysis</topic><topic>DNA methylation</topic><topic>DNA Methylation - genetics</topic><topic>Epigenetics</topic><topic>Gene expression</topic><topic>Histology</topic><topic>Humans</topic><topic>In Situ Hybridization, Fluorescence</topic><topic>Laboratory Medicine</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Musculoskeletal system</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>Oncogene Proteins, Fusion</topic><topic>Oncology</topic><topic>original-article</topic><topic>Paired Box Transcription Factors</topic><topic>Pathology</topic><topic>Reverse Transcriptase Polymerase Chain Reaction</topic><topic>Rhabdomyosarcoma - genetics</topic><topic>Soft Tissue Neoplasms - genetics</topic><topic>Transcriptome</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sun, Wenyue</creatorcontrib><creatorcontrib>Chatterjee, Bishwanath</creatorcontrib><creatorcontrib>Wang, Yonghong</creatorcontrib><creatorcontrib>Stevenson, Holly S</creatorcontrib><creatorcontrib>Edelman, Daniel C</creatorcontrib><creatorcontrib>Meltzer, Paul S</creatorcontrib><creatorcontrib>Barr, Frederic G</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</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</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</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>Nucleic Acids Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Modern pathology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sun, Wenyue</au><au>Chatterjee, Bishwanath</au><au>Wang, Yonghong</au><au>Stevenson, Holly S</au><au>Edelman, Daniel C</au><au>Meltzer, Paul S</au><au>Barr, Frederic G</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Distinct methylation profiles characterize fusion-positive and fusion-negative rhabdomyosarcoma</atitle><jtitle>Modern pathology</jtitle><stitle>Mod Pathol</stitle><addtitle>Mod Pathol</addtitle><date>2015-09-01</date><risdate>2015</risdate><volume>28</volume><issue>9</issue><spage>1214</spage><epage>1224</epage><pages>1214-1224</pages><issn>0893-3952</issn><eissn>1530-0285</eissn><coden>MODPEO</coden><abstract>Rhabdomyosarcoma comprises two major subtypes, fusion positive (
PAX3–FOXO1
or
PAX7–FOXO1
) and fusion negative. To investigate the significance of DNA methylation in these subtypes, we analyzed methylation profiles of 37 rhabdomyosarcoma tumors and 10 rhabdomyosarcoma cell lines, as well as 8 normal tissues. Unsupervised clustering of DNA methylation clearly distinguished the fusion-positive and fusion-negative subsets. The fusion-positive tumors showed substantially lower overall levels of methylation compared with fusion-negative tumors. Comparison with the methylation pattern of normal skeletal muscle and bone marrow indicates that fusion-negative rhabdomyosarcoma is more similar to these normal tissues compared with fusion-positive rhabdomyosarcoma, and suggests that many of the methylation differences between these subtypes arise from ‘aberrant’ hyper- and hypomethylation events in fusion-positive rhabdomyosarcoma. Integrative methylation and gene expression analysis revealed that methylation differences between fusion-positive and fusion-negative tumors could either be positively or negatively associated with mRNA expression. There was no significant difference in the distribution of PAX3–FOXO1-binding sites between genes with and without differential methylation. However, the finding that PAX3–FOXO1-binding sites were enriched among genes that were both differentially methylated and differentially expressed suggests that the fusion protein interacts with DNA methylation to regulate target gene expression. An 11-gene DNA methylation signature, classifying the rhabdomyosarcoma tumors into fusion-positive and fusion-negative subsets, was established and validated by pyrosequencing assays. Notably,
EMILIN1
(part of the 11-gene signature) showed higher methylation and lower mRNA expression in fusion-positive compared with fusion-negative tumors, and demonstrated demethylation and re-expression in multiple fusion-positive cell lines after treatment with 5-aza-2′-deoxycytidine. In conclusion, our study demonstrates that fusion-positive and fusion-negative rhabdomyosarcoma tumors possess characteristic methylation profiles that contribute to the expression differences between these fusion subtypes. These findings indicate an important relationship between fusion status and epigenetic changes in rhabdomyosarcoma, present a novel approach for ascertaining fusion status, and may identify new therapeutic targets in rhabdomyosarcoma.</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>26226845</pmid><doi>10.1038/modpathol.2015.82</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 38/22 38/61 38/77 38/90 631/67/2332 Binding sites Bone marrow Cancer Chromosomes Cluster Analysis DNA methylation DNA Methylation - genetics Epigenetics Gene expression Histology Humans In Situ Hybridization, Fluorescence Laboratory Medicine Medical research Medicine Medicine & Public Health Musculoskeletal system Oligonucleotide Array Sequence Analysis Oncogene Proteins, Fusion Oncology original-article Paired Box Transcription Factors Pathology Reverse Transcriptase Polymerase Chain Reaction Rhabdomyosarcoma - genetics Soft Tissue Neoplasms - genetics Transcriptome Tumors |
title | Distinct methylation profiles characterize fusion-positive and fusion-negative rhabdomyosarcoma |
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