Evidence map›Paper›PMID 32733914›Full record

ArticleFrontiers in molecular biosciences2020

A DNA Methylation-Based Panel for the Prognosis and Dagnosis of Patients With Breast Cancer and Its Mechanisms.

Xiao-Ping Liu, Jinxuan Hou, Chen Chen, Li Guan, Han-Kun Hu, Sheng Li

Erratum issuedAbstract read
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Article in Frontiers in molecular biosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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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

13 citing papers in PubMed.

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  9. Diagnosis of cerebral malaria: Tools to reduceFrontiers in cellular and infection microbiology · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Xiao-Ping LiuDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Jinxuan HouDepartment of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Chen ChenDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.
Li GuanDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.
Han-Kun HuDepartment of Pharmacy, Zhongnan Hospital of Wuhan University, Wuhan, China.
Sheng LiDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify DNA methylation related biomarkers in patients with breast cancer (BC). MATERIALS AND

methodsA total of seven BC methylation studies including 1,438 BC patients or breast tissues were included in this study. An elastic net regularized Cox proportional hazards regression (CPH) model was used to build a multi-5'-C-phosphate-G-3' methylation panel. The diagnosis and prognosis power of the panel was evaluated and validated using a Kaplan-Meier curve, univariate and multivariable CPH, subgroup analysis. A nomogram containing the panel was developed. The relationships between the panel-based methylation risk and the immune landscape and genomic metrics were investigated.

resultsSixty-eight CpG sites were significantly correlated with the overall survival (OS) of BC patients, and based on the result of penalized CPH, a 28-CpG site based multi CpG methylation panel was found. The prognosis and diagnosis role of the panel was validated in the discovery set, validation set, and six independent cohorts, which indicated that higher methylation risk was associated with poor OS, and the panel outperformed currently available biomarkers and remained an independent factor after adjusting for other clinical features. The methylation risk was negatively correlated with innated and adaptive immune cells, and positively correlated with total mutation load, SCNA, and MATH.

conclusionsWe validated a multi CpG methylation panel that could independently predict the OS of BC patients. The Th2-mediated tumor promotion effect-suppression of innate and adaptive immunity-participated in the progression of high-risk BC. Patients with high methylation risk were associated with tumor heterogeneity and poor survival.

Indexed as

breast cancerdiagnosisDNA methylationgenomic metricsimmune landscapeprognosis

Identifiers

PMID32733914
PMCPMC7358612

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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.