# Integrative dual ctDNA 5mC/5hmC methylomics and clonal reconstruction infer tumor transcription and resistance phenotypes in metastatic prostate cancer

**Authors:** Chennan Li, Anna Baj, Clara C. Y. Seo, Nicholas T. Terrigino, John R. Bright, S. Thomas Hennigan, Isaiah M. King, Scott Wilkinson, Tzu-Ting Huang, Shana Y. Trostel, William D. Figg, William L. Dahut, David Y. Takeda, Jung-Min Lee, Fatima Karzai, Adam G. Sowalsky

PMC · DOI: 10.21203/rs.3.rs-8778762/v1 · Research Square · 2026-02-05

## TL;DR

This study shows that analyzing DNA modifications in blood can reveal tumor characteristics and resistance patterns in prostate cancer patients.

## Contribution

The study introduces a method to infer gene-level transcription and resistance phenotypes from ctDNA 5mC/5hmC methylomics.

## Key findings

- Plasma transcriptomes distinguished adenocarcinoma from neuroendocrine prostate cancer phenotypes.
- A WNT5A-associated signature was linked to poor response to treatment.
- Two resistance trajectories were identified based on tumor heterogeneity and AR dependency.

## Abstract

Liquid biopsies can detect actionable mutations and infer broad tumor states from genome-wide cfDNA measurements, but quantitative transcriptome-like phenotyping at single gene resolution still largely requires tissue. Here, we asked whether 6-base whole-genome sequencing that jointly quantifies 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) could infer gene expression directly from plasma. We applied this framework to plasma from patients enrolled in a phase 2 clinical trial of the PARP inhibitor olaparib plus the PD-L1 inhibitor durvalumab for metastatic castration-resistant prostate cancer. Inferred plasma transcriptomes distinguished adenocarcinoma vs. neuroendocrine phenotypes and identified a noncanonical WNT5A-associated signature linked to poor clinical response. Integrating longitudinal cfDNA methylomic profiles with phylogenetic reconstruction further revealed two resistance trajectories: one featuring high tumor heterogeneity with persistent AR signaling, and another marked by an AR-independent, stem-like program with metabolic reprogramming. These findings demonstrate that ctDNA can inform phenotype-driven tumor biology at gene-level resolution, integrating epigenetic modifications, inferred transcriptional programs, and clonal dynamics as a function of treatment response.

## Linked entities

- **Genes:** WNT5A (Wnt family member 5A) [NCBI Gene 7474], AR (androgen receptor) [NCBI Gene 367]
- **Chemicals:** olaparib (PubChem CID 23725625)

## Full-text entities

- **Genes:** WNT5A (Wnt family member 5A) [NCBI Gene 7474] {aka hWNT5A}, PARP1 (poly(ADP-ribose) polymerase 1) [NCBI Gene 142] {aka ADPRT, ADPRT 1, ADPRT1, ARTD1, PARP, PARP-1}, CD274 (CD274 molecule) [NCBI Gene 29126] {aka ADMIO5, B7-H, B7H1, PD-L1, PDCD1L1, PDCD1LG1}
- **Diseases:** tumor (MESH:D009369), adenocarcinoma (MESH:D000230), neuroendocrine (MESH:D018358), prostate cancer (MESH:D011471)
- **Chemicals:** durvalumab (MESH:C000613593), olaparib (MESH:C531550), 5-hydroxymethylcytosine (MESH:C011865), 5-methylcytosine (MESH:D044503)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12889828/full.md

## References

53 references — full list in the complete paper: https://tomesphere.com/paper/PMC12889828/full.md

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Source: https://tomesphere.com/paper/PMC12889828