Evidence map›Paper›PMID 32576165›Full record

Observational studyBMC cancer2020

DNA methylation signatures of Prostate Cancer in peripheral T-cells.

Ali Mehdi, David Cheishvili, Ani Arakelian, Tarek A Bismar, Moshe Szyf, Shafaat A Rabbani

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Methods in DNA methylation array dataset analysis: A review.Computational and structural biotechnology journal · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Diagnostic value of integratedProstate international · 2022
    Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Ali MehdiDepartment of Medicine, McGill University, Montreal, Quebec, Canada.
David CheishviliHKG Epitherapeutics, Hong Kong, China.
Ani ArakelianDepartment of Medicine, McGill University, Montreal, Quebec, Canada.
Tarek A BismarDepartments of Pathology & Laboratory Medicine, Oncology, Biochemistry & Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Moshe SzyfDepartment of Pharmacology, McGill University, Montreal, Quebec, Canada.
Shafaat A RabbaniDepartment of Medicine, McGill University, Montreal, Quebec, Canada. shafaat.rabbani@mcgill.ca.ORCID http://orcid.org/0000-0001-5594-3899
McGill University · CAMcGill University Health Centre · CAUniversity of Calgary · CA

Funding

CIHR PJT-156225
6 · The paper itself

Abstract

backgroundProstate Cancer (PCa) is the second most common cancer in men where advancements have been made for early detection using imaging techniques, however these are limited by lesion size. Immune surveillance has emerged as an effective approach for early detection and to monitor disease progression. In recent studies, we have shown that host peripheral blood immune cells undergo changes in DNA methylation in liver and breast cancer.

methodsIn the current study, we examined the DNA methylation status of peripheral blood T cells of men with positive biopsy for PCa versus men with negative biopsy having benign prostate tissue, defined as controls. T cells DNA was isolated and subjected to Illumina Infinium methylation EPIC array and validated using Illumina amplicon sequencing and pyrosequencing platforms.

resultsDifferential methylation of 449 CG sites between control and PCa T cell DNA showed a correlation with Gleason score (p < 0.05). Two hundred twenty-three differentially methylated CGs between control and PCa (∆ß +/- 10%, p < 0.05), were enriched in pathways involved in immune surveillance system. Three CGs which were found differentially methylated following DMP (Differentially methylated probes) analysis of ChAMP remained significant after BH (Benjamini-Hochberg) correction, of which, 2 CGs were validated. Predictive ability of combination of these 3 CGs (polygenic methylation score, PMS) to detect PCa had high sensitivity, specificity and overall accuracy. PMS also showed strong positive correlation with Gleason score and tumor volume of PCa patients.

conclusionsResults from the current study provide for the first-time a potential role of DNA methylation changes in peripheral T cells in PCa. This non-invasive methodology may allow for early intervention and stratification of patients into different prognostic groups to reduce PCa associated morbidity from repeat invasive prostate biopsies and design therapeutic strategy to reduce PCa associated mortality.

Indexed as

BiopsyCase-Control StudiesDNA MethylationEpigenomeEpigenomicsHealthy VolunteersHumansImmunologic SurveillanceMaleMiddle AgedNeoplasm GradingPrognosisProstateProstatic NeoplasmsSensitivity and SpecificitySequence Analysis, DNABloodDiagnosisDNA methylationImmuneProstate cancerT cells

Identifiers

PMID32576165
PMCPMC7310561
OpenAlexW2804223529

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.