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Genome-wide plasma DNA methylation features of metastatic prostate cancer
Anjui Wu, … , Stefano Lise, Gerhardt Attard
Anjui Wu, … , Stefano Lise, Gerhardt Attard
Published March 9, 2020
Citation Information: J Clin Invest. 2020;130(4):1991-2000. https://doi.org/10.1172/JCI130887.
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Research Article Genetics Oncology Article has an altmetric score of 177

Genome-wide plasma DNA methylation features of metastatic prostate cancer

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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 < 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.

Authors

Anjui Wu, Paolo Cremaschi, Daniel Wetterskog, Vincenza Conteduca, Gian Marco Franceschini, Dimitrios Kleftogiannis, Anuradha Jayaram, Shahneen Sandhu, Stephen Q. Wong, Matteo Benelli, Samanta Salvi, Giorgia Gurioli, Andrew Feber, Mariana Buongermino Pereira, Anna Maria Wingate, Enrique Gonzalez-Billalebeitia, Ugo De Giorgi, Francesca Demichelis, Stefano Lise, Gerhardt Attard

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Figure 3

Methylation ratio across ct-MethSig can be a proxy for tumor fraction.

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Methylation ratio across ct-MethSig can be a proxy for tumor fraction.
(...
(A) Top 1000 segments (ct-MethSig) with the highest correlation coefficient between PC1 and methylation ratio. (B) ct-MethSig methylation ratio distribution by patient plasma sample split by negatively correlated and positively correlated segments. (C) Venn diagram showing the overlap of negatively correlated genes (dark blue) in ct-MethSig segments with targets of EED, SUZ12, and embryonic stem cells (ES) with H3K27ME3 marks. The number in white denotes the number of genes in the ct-MethSig negatively correlated group. (D) Circulating tumor fraction methylation signature comprises segments specific to either normal or malignant prostate epithelium. Left: Methylation ratios of ct-MethSig hypermethylated (n = 520) and hypomethylated (n = 480) groups from LNCaP (n = 4), healthy volunteers (n = 4), and normal prostate epithelium samples (PrEC). Right: The ct-MethSig hypermethylated and hypomethylated groups can be split into prostate cancer–specific segments and prostate epithelium–specific segments.

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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