Evidence map›Paper›PMID 37904926›Full record

ArticlemedRxiv : the preprint server for health sciences2024

5-hydroxymethylcytosine sequencing in plasma cell-free DNA identifies unique epigenomic features in prostate cancer patients resistant to androgen deprivation therapies.

Qianxia Li, Chiang-Ching Huang, Shane Huang, Yijun Tian, Jinyong Huang, Amirreza Bitaraf, Xiaowei Dong, Marja T Nevalanen, Manishkumar Patel, Jodie Wong and 7 more

Registry-linked trialOpen access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07224841 (Development of a cfDNA 5mC/5hmC-based Epigenetic Biomarker Panel to Identify Determinants of Response In VEGF/EGFR-targeted Therapy for Metastatic Colorectal Cancer), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07224841 recruitingnot on this map

Development of a cfDNA 5mC/5hmC-based Epigenetic Biomarker Panel to Identify Determinants of Response In VEGF/EGFR-targeted Therapy for Metastatic Colorectal Cancer

TypeobservationalSponsorCity of Hope Medical CenterRan2024 to 2028Enrolled500ConditionsCRC (Colorectal Cancer)ArmscfDNA 5mC/5hmC Sequencing (EpiDRIVE Discovery Phase), EpiDRIVE Assay (Targeted Sequencing / qPCR Validation)
3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 6 institutions in 2 countries.

Qianxia Li
Chiang-Ching Huang
Shane Huang
Jinyong Huang
Amirreza Bitaraf
Xiaowei Dong
Marja T Nevalanen
Manishkumar Patel
Jodie Wong
Jingsong Zhang
Brandon J Manley
Jong Y Park
Manish Kohli
Elizabeth M Gore
Deepak Kilari
Moffitt Cancer Center · USMedical College of Wisconsin · USUniversity of Wisconsin–Milwaukee · USThomas Jefferson University · USUniversity of Utah · USUniversity of Wisconsin–Madison · US

Funding

Cell free nucleic acid-based biomarkers in advanced prostate cancerR01CA212097 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI KOHLI, MANISH, WANG, LIANG · 2017 to 2022
$3.1M
Functional characterization of prostate cancer risk loci by high throughput sequencingR01CA250018 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI WANG, LIANG · 2020 to 2023
$1.5M
6 · The paper itself

Abstract

Background: Currently, no biomarkers are available to identify resistance to androgen-deprivation therapies (ADT) in men with hormone-naive prostate cancer. Since 5-hydroxymethylcytosines (5hmC) in gene body are associated with gene activation, in this study, we evaluated whether 5hmC signatures in cell-free DNA (cfDNA) predicts early resistance to ADT. Results: We collected a total of 139 serial plasma samples from 55 prostate cancer patients receiving ADT at three time points including baseline (prior to initiating ADT, N=55), 3-month (after initiating ADT, N=55), and disease progression (N=15) within 24 months or 24-month if no progression was detected (N=14). To quantify 5hmC abundance across the genome, we used selective chemical labeling sequencing and mapped sequence reads to individual genes. Differential methylation analysis in baseline samples identified significant 5hmC difference in 1,642 of 23,433 genes between patients with and without progression (false discovery rate, FDR<0.1). Patients with disease progression showed significant 5hmC enrichments in multiple hallmark gene sets with androgen responses as top enriched gene set (FDR=1.19E-13). Interestingly, this enrichment was driven by a subgroup of patients featuring a significant 5hmC hypermethylation in the gene sets involving Conclusions: This study demonstrates that 5hmC-based activity scores from gene sets involved in

Identifiers

PMID37904926
PMCPMC10615016
OpenAlexW4387666551

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.