Evidence map›Paper›PMID 30613165›Full record

ArticleCancer management and research2019

Transcriptomic analyses identify key differentially expressed genes and clinical outcomes between triple-negative and non-triple-negative breast cancer.

Bo Chen, Hailin Tang, Xi Chen, Guochun Zhang, Yulei Wang, Xiaoming Xie, Ning Liao

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
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  12. Tools used to assay genomic instability in cancers and cancer meiomitosis.Journal of cell communication and signaling · 2022
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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

7 authors at 3 institutions in 1 country.

Bo ChenDepartment of Breast Cancer, Cancer Center, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China, dr.ningliao@outlook.com.
Hailin TangDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China, xiexm@sysucc.org.cn.
Xi ChenDepartment of Anatomy, Hengyang Medical College, University of South China, Hengyang, China.
Guochun ZhangDepartment of Breast Cancer, Cancer Center, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China, dr.ningliao@outlook.com.
Yulei WangDepartment of Breast Cancer, Cancer Center, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China, dr.ningliao@outlook.com.
Xiaoming XieDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China, xiexm@sysucc.org.cn.
Ning LiaoDepartment of Breast Cancer, Cancer Center, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China, dr.ningliao@outlook.com.
Guangdong General Hospital · CNSun Yat-sen University · CNUniversity of South China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThere are significant differences in the biological behavior between triple-negative breast cancer (TNBC) and non-triple-negative breast cancer (non-TNBC). In the present study, we identify key differential genes and clinical outcomes between TNBC and non-TNBC. MATERIALS AND

methodsTranscriptomic analyses used GEO datasets (GSE76275), gene ontology, KEGG pathway analysis and cBioPortal. Quantitative RT-PCR analysis (qRT-PCR) was used to validate the differentially expressed genes. We used the KM Plotter Online Tool and 240 patients with TNBC tissue microarray to assay the prognostic value of

resultsThe upregulated differentially expressed genes were enriched in transcription factor activity, sequence-specific DNA binding and nucleic acid binding transcription factor activity. Only 16 genes were upregulated when further screened for fold change >4-fold change.

conclusionThe status of transcriptional activation is an important difference between TNBC and non-TNBC.

Indexed as

HORMAD1non-triple-negative breast cancerprognostic factortranscriptometriple-negative breast cancer

Identifiers

PMID30613165
PMCPMC6306052
OpenAlexW2904984134

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.