Evidence map›Paper›PMID 32649035›Full record

ArticleJournal of cellular and molecular medicine2020

Development and validation of a novel 15-CpG-based signature for predicting prognosis in triple-negative breast cancer.

Yang Peng, Lin Shui, Jian Xie, Shengchun Liu

Open access · goldAbstract readValidation Study
In one paragraph

Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

14 citing papers in PubMed, 10 citations in OpenAlex.

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  11. Identification of a DNA Methylation-Based Prognostic Signature for Patients with Triple-Negative Breast Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2021
    Article
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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

4 authors at 3 institutions in 1 country.

Yang PengDepartment of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID 0000-0002-4146-8369
Lin ShuiDepartment of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Jian XieDepartment of General Surgery, Yongchuan Hospital of Chongqing Medical University, Chongqing, China.
Shengchun LiuDepartment of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID 0000-0002-9933-3643
The Affiliated Yongchuan Hospital of Chongqing Medical University · CNChongqing Medical University · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation is an important biological regulatory mechanism that changes gene expression without altering the DNA sequence. Increasing studies have revealed that DNA methylation data play a vital role in the field of oncology. However, the methylation site signature in triple-negative breast cancer (TNBC) remains unknown. In our research, we analysed 158 TNBC samples and 98 noncancerous samples from The Cancer Genome Atlas (TCGA) in three phases. In the discovery phase, 86 CpGs were identified by univariate Cox proportional hazards regression (CPHR) analyses to be significantly correlated with overall survival (P < 0.01). In the training phase, these candidate CpGs were further narrowed down to a 15-CpG-based signature by conducting least absolute shrinkage and selector operator (LASSO) Cox regression in the training set. In the validation phase, the 15-CpG-based signature was verified using two different internal sets and one external validation set. Furthermore, a nomogram comprising the CpG-based signature and TNM stage was generated to predict the 1-, 3- and 5-year overall survival in the primary set, and it showed excellent performance in the three validation sets (concordance indexes: 0.924, 0.974 and 0.637). This study showed that our nomogram has a precise predictive effect on the prognosis of TNBC and can potentially be implemented for clinical treatment and diagnosis.

Indexed as

CpG IslandsDNA MethylationGene Expression Regulation, NeoplasticTranscriptomeBiomarkers, TumorCase-Control StudiesFemaleFollow-Up StudiesHumansMiddle AgedPrognosisSurvival RateTriple Negative Breast NeoplasmsBiomarkers, Tumormethylation sitesnomogramprognosisTCGAtriple-negative breast cancer

Identifiers

PMID32649035
PMCPMC7417707
OpenAlexW3040859085

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.