Genome-wide plasma DNA methylation features of metastatic prostate cancer

Tumor DNA circulates in the plasma of cancer patients admixed with DNA from noncancerous cells. The genomic landscape of plasma DNA has been characterized in metastatic castration-resistant prostate cancer (mCRPC) but the plasma methylome has not been extensively explored. Here, we performed next-ge...

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Veröffentlicht in:The Journal of clinical investigation 2020-04, Vol.130 (4), p.1991-2000
Hauptverfasser: Wu, Anjui, Cremaschi, Paolo, Wetterskog, Daniel, Conteduca, Vincenza, Franceschini, Gian Marco, Kleftogiannis, Dimitrios, Jayaram, Anuradha, Sandhu, Shahneen, Wong, Stephen Q, Benelli, Matteo, Salvi, Samanta, Gurioli, Giorgia, Feber, Andrew, Pereira, Mariana Buongermino, Wingate, Anna Maria, Gonzalez-Billalebeitia, Enrique, De Giorgi, Ugo, Demichelis, Francesca, Lise, Stefano, Attard, Gerhardt
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container_end_page 2000
container_issue 4
container_start_page 1991
container_title The Journal of clinical investigation
container_volume 130
creator Wu, Anjui
Cremaschi, Paolo
Wetterskog, Daniel
Conteduca, Vincenza
Franceschini, Gian Marco
Kleftogiannis, Dimitrios
Jayaram, Anuradha
Sandhu, Shahneen
Wong, Stephen Q
Benelli, Matteo
Salvi, Samanta
Gurioli, Giorgia
Feber, Andrew
Pereira, Mariana Buongermino
Wingate, Anna Maria
Gonzalez-Billalebeitia, Enrique
De Giorgi, Ugo
Demichelis, Francesca
Lise, Stefano
Attard, Gerhardt
description Tumor DNA circulates in the plasma of cancer patients admixed with DNA from noncancerous cells. The genomic landscape of plasma DNA has been characterized in metastatic castration-resistant prostate cancer (mCRPC) but the plasma methylome has not been extensively explored. Here, we performed next-generation sequencing (NGS) on plasma DNA with and without bisulfite treatment from mCRPC patients receiving either abiraterone or enzalutamide in the pre- or post-chemotherapy setting. Principal component analysis on the mCRPC plasma methylome indicated that the main contributor to methylation variance (principal component one, or PC1) was strongly correlated with genomically determined tumor fraction (r = -0.96; P < 10-8) and characterized by hypermethylation of targets of the polycomb repressor complex 2 components. Further deconvolution of the PC1 top-correlated segments revealed that these segments are comprised of methylation patterns specific to either prostate cancer or prostate normal epithelium. To extract information specific to an individual's cancer, we then focused on an orthogonal methylation signature, which revealed enrichment for androgen receptor binding sequences and hypomethylation of these segments associated with AR copy number gain. Individuals harboring this methylation pattern had a more aggressive clinical course. Plasma methylome analysis can accurately quantitate tumor fraction and identify distinct biologically relevant mCRPC phenotypes.
doi_str_mv 10.1172/JCI130887
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The genomic landscape of plasma DNA has been characterized in metastatic castration-resistant prostate cancer (mCRPC) but the plasma methylome has not been extensively explored. Here, we performed next-generation sequencing (NGS) on plasma DNA with and without bisulfite treatment from mCRPC patients receiving either abiraterone or enzalutamide in the pre- or post-chemotherapy setting. Principal component analysis on the mCRPC plasma methylome indicated that the main contributor to methylation variance (principal component one, or PC1) was strongly correlated with genomically determined tumor fraction (r = -0.96; P &lt; 10-8) and characterized by hypermethylation of targets of the polycomb repressor complex 2 components. Further deconvolution of the PC1 top-correlated segments revealed that these segments are comprised of methylation patterns specific to either prostate cancer or prostate normal epithelium. To extract information specific to an individual's cancer, we then focused on an orthogonal methylation signature, which revealed enrichment for androgen receptor binding sequences and hypomethylation of these segments associated with AR copy number gain. Individuals harboring this methylation pattern had a more aggressive clinical course. 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The genomic landscape of plasma DNA has been characterized in metastatic castration-resistant prostate cancer (mCRPC) but the plasma methylome has not been extensively explored. Here, we performed next-generation sequencing (NGS) on plasma DNA with and without bisulfite treatment from mCRPC patients receiving either abiraterone or enzalutamide in the pre- or post-chemotherapy setting. Principal component analysis on the mCRPC plasma methylome indicated that the main contributor to methylation variance (principal component one, or PC1) was strongly correlated with genomically determined tumor fraction (r = -0.96; P &lt; 10-8) and characterized by hypermethylation of targets of the polycomb repressor complex 2 components. Further deconvolution of the PC1 top-correlated segments revealed that these segments are comprised of methylation patterns specific to either prostate cancer or prostate normal epithelium. To extract information specific to an individual's cancer, we then focused on an orthogonal methylation signature, which revealed enrichment for androgen receptor binding sequences and hypomethylation of these segments associated with AR copy number gain. Individuals harboring this methylation pattern had a more aggressive clinical course. 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blood</subject><subject>Prostatic Neoplasms - genetics</subject><subject>Prostatic Neoplasms - pathology</subject><subject>Ratios</subject><subject>Setting (Literature)</subject><subject>Sulfites</subject><subject>Tumors</subject><issn>0021-9738</issn><issn>1558-8238</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkl2L1DAUhoMo7rh64R-QgiB60TUfbZPeCMOo68jigl-34TQ9menSJmOTqvvvTXEdd2QuJBcJb57zJofzEvKY0TPGJH_5frVmgiol75AFK0uVKy7UXbKglLO8lkKdkAchXFHKiqIs7pMTwVmR9GpB1ufo_ID5j67FbNdDGCB7_WGZDRi31z3EzrvMIsRpxJB5O-sQYtJNthv9fMLMgDM4PiT3LPQBH93sp-TL2zefV-_yi8vz9Wp5kZuqkDHnRsqqqSvgTaMUa1tUdQFIRdvYprXciNbWoiqbFopKAJWKVo0FoIzVBoUQp-TVb9_d1AzYGnRxhF7vxm6A8Vp76PThjeu2euO_a8moqlmdDJ7fGIz-24Qh6qELBvseHPopaC5kWdKSlyqhT_9Br_w0utReopQUohKK_qU20KPunPXpXTOb6mXFWeqPMZao_Ai1QYfpk96h7ZJ8wJ8d4dNqcejM0YIXBwWJifgzbmAKQa8_ffx_9vLrIfvsFrtF6OM2-H6asxGOmpqUjDCi3Q-FUT0HVe-Dmtgnt6e4J_8kU_wCkv7e0A</recordid><startdate>20200401</startdate><enddate>20200401</enddate><creator>Wu, Anjui</creator><creator>Cremaschi, Paolo</creator><creator>Wetterskog, Daniel</creator><creator>Conteduca, Vincenza</creator><creator>Franceschini, Gian Marco</creator><creator>Kleftogiannis, Dimitrios</creator><creator>Jayaram, Anuradha</creator><creator>Sandhu, Shahneen</creator><creator>Wong, Stephen Q</creator><creator>Benelli, Matteo</creator><creator>Salvi, Samanta</creator><creator>Gurioli, Giorgia</creator><creator>Feber, Andrew</creator><creator>Pereira, Mariana Buongermino</creator><creator>Wingate, Anna Maria</creator><creator>Gonzalez-Billalebeitia, Enrique</creator><creator>De Giorgi, Ugo</creator><creator>Demichelis, Francesca</creator><creator>Lise, Stefano</creator><creator>Attard, Gerhardt</creator><general>American Society for Clinical Investigation</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7RV</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>BEC</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>S0X</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-9584-3021</orcidid><orcidid>https://orcid.org/0000-0002-8266-8631</orcidid><orcidid>https://orcid.org/0000-0001-5349-4188</orcidid><orcidid>https://orcid.org/0000-0002-6921-714X</orcidid><orcidid>https://orcid.org/0000-0002-7391-3535</orcidid><orcidid>https://orcid.org/0000-0003-1227-356X</orcidid><orcidid>https://orcid.org/0000-0003-1086-821X</orcidid><orcidid>https://orcid.org/0000-0003-4472-6893</orcidid><orcidid>https://orcid.org/0000-0003-3450-949X</orcidid></search><sort><creationdate>20200401</creationdate><title>Genome-wide plasma DNA methylation features of metastatic prostate cancer</title><author>Wu, Anjui ; Cremaschi, Paolo ; Wetterskog, Daniel ; Conteduca, Vincenza ; Franceschini, Gian Marco ; Kleftogiannis, Dimitrios ; Jayaram, Anuradha ; Sandhu, Shahneen ; Wong, Stephen Q ; Benelli, Matteo ; Salvi, Samanta ; Gurioli, Giorgia ; Feber, Andrew ; Pereira, Mariana Buongermino ; Wingate, Anna Maria ; Gonzalez-Billalebeitia, Enrique ; De Giorgi, Ugo ; Demichelis, Francesca ; Lise, Stefano ; Attard, Gerhardt</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c647t-2c776b96a2bb881dde894ae03dbfbdf2c3df9365bda463a07806bfaa0119ce333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Abiraterone</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Analysis</topic><topic>Androgen receptors</topic><topic>Androgens</topic><topic>Biomarkers</topic><topic>Biomedical research</topic><topic>Bisulfite</topic><topic>Blood</topic><topic>Cancer genetics</topic><topic>Cancer metastasis</topic><topic>Cancer patients</topic><topic>Cancer treatment</topic><topic>Care and treatment</topic><topic>Castration</topic><topic>Chemotherapy</topic><topic>Circulating Tumor DNA - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The Journal of clinical investigation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Anjui</au><au>Cremaschi, Paolo</au><au>Wetterskog, Daniel</au><au>Conteduca, Vincenza</au><au>Franceschini, Gian Marco</au><au>Kleftogiannis, Dimitrios</au><au>Jayaram, Anuradha</au><au>Sandhu, Shahneen</au><au>Wong, Stephen Q</au><au>Benelli, Matteo</au><au>Salvi, Samanta</au><au>Gurioli, Giorgia</au><au>Feber, Andrew</au><au>Pereira, Mariana Buongermino</au><au>Wingate, Anna Maria</au><au>Gonzalez-Billalebeitia, Enrique</au><au>De Giorgi, Ugo</au><au>Demichelis, Francesca</au><au>Lise, Stefano</au><au>Attard, Gerhardt</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genome-wide plasma DNA methylation features of metastatic prostate cancer</atitle><jtitle>The Journal of clinical investigation</jtitle><addtitle>J Clin Invest</addtitle><date>2020-04-01</date><risdate>2020</risdate><volume>130</volume><issue>4</issue><spage>1991</spage><epage>2000</epage><pages>1991-2000</pages><issn>0021-9738</issn><eissn>1558-8238</eissn><abstract>Tumor DNA circulates in the plasma of cancer patients admixed with DNA from noncancerous cells. The genomic landscape of plasma DNA has been characterized in metastatic castration-resistant prostate cancer (mCRPC) but the plasma methylome has not been extensively explored. Here, we performed next-generation sequencing (NGS) on plasma DNA with and without bisulfite treatment from mCRPC patients receiving either abiraterone or enzalutamide in the pre- or post-chemotherapy setting. Principal component analysis on the mCRPC plasma methylome indicated that the main contributor to methylation variance (principal component one, or PC1) was strongly correlated with genomically determined tumor fraction (r = -0.96; P &lt; 10-8) and characterized by hypermethylation of targets of the polycomb repressor complex 2 components. Further deconvolution of the PC1 top-correlated segments revealed that these segments are comprised of methylation patterns specific to either prostate cancer or prostate normal epithelium. To extract information specific to an individual's cancer, we then focused on an orthogonal methylation signature, which revealed enrichment for androgen receptor binding sequences and hypomethylation of these segments associated with AR copy number gain. Individuals harboring this methylation pattern had a more aggressive clinical course. 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identifier ISSN: 0021-9738
ispartof The Journal of clinical investigation, 2020-04, Vol.130 (4), p.1991-2000
issn 0021-9738
1558-8238
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7108919
source MEDLINE; EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection
subjects Abiraterone
Adult
Aged
Aged, 80 and over
Analysis
Androgen receptors
Androgens
Biomarkers
Biomedical research
Bisulfite
Blood
Cancer genetics
Cancer metastasis
Cancer patients
Cancer treatment
Care and treatment
Castration
Chemotherapy
Circulating Tumor DNA - blood
Circulating Tumor DNA - genetics
Copy number
Deoxyribonucleic acid
DNA
DNA Methylation
DNA sequencing
Enzalutamide
Epigenesis, Genetic
Epithelium
Gene Expression Regulation, Neoplastic
Genome-Wide Association Study
Genomes
Genomics
Humans
Information processing
Male
Metastases
Metastasis
Methylation
Middle Aged
Mutation
Neoplasm Metastasis
Next-generation sequencing
Patients
Phenotypes
Polycomb group proteins
Prostate cancer
Prostatic Neoplasms - blood
Prostatic Neoplasms - genetics
Prostatic Neoplasms - pathology
Ratios
Setting (Literature)
Sulfites
Tumors
title Genome-wide plasma DNA methylation features of metastatic prostate cancer
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