Evidence map›Paper›PMID 32753890›Full record

ArticleOncoTargets and therapy2020

A Six-Epithelial-Mesenchymal Transition Gene Signature May Predict Metastasis of Triple-Negative Breast Cancer.

Li Yuan Wei, Xiao Jun Zhang, Li Wang, Li Na Hu, Xu Dong Zhang, Li Li, Jin Nan Gao

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.4field-weighted citation impact, top 47% 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

16 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
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  4. Article
  5. EMT and cancer: what clinicians should know.Nature reviews. Clinical oncology · 2025
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  7. Article
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  15. Identification of Key Genes Associated with Brain Metastasis from Breast Cancer: A Bioinformatics Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2022
    Article
  16. Review
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 2 institutions in 2 countries.

Li Yuan Wei *Department of Breast Surgery, Shanxi Bethune Hospital, Taiyuan, People's Republic of China.ORCID 0000-0002-3661-7200
Xiao Jun Zhang *Department of Breast Surgery, Shanxi Bethune Hospital, Taiyuan, People's Republic of China.
Li WangSchool of Basic Medicine Sciences, Academy of Medical Science, Zhengzhou University, Henan 450053, People's Republic of China.
Li Na HuDepartment of Pathology, Shanxi Bethune Hospital, Taiyuan, People's Republic of China.ORCID 0000-0003-0264-8882
Xu Dong ZhangTranslational Research Institute, Henan Provincial People's Hospital, Academy of Medical Science, Zhengzhou University, Henan 450053, People's Republic of China.ORCID 0000-0001-9457-8003
Li LiDepartment of Pathology, Shanxi Bethune Hospital, Taiyuan, People's Republic of China.ORCID 0000-0002-5951-532X
Jin Nan GaoDepartment of Breast Surgery, Shanxi Bethune Hospital, Taiyuan, People's Republic of China.ORCID 0000-0002-9163-9453
Shanxi Academy of Medical Sciences · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePathological complete response (pCR) to neoadjuvant chemotherapy (NACT) is associated with favourable outcomes of patients with triple-negative breast cancer (TNBC). However, a proportion of TNBC patients with the residual disease do not relapse and achieve long-term survival. The aim of this study was to identify biomarkers that predict clinical outcomes in these patients. PATIENTS AND

methodsA retrospective series of 10 TNBC patients who displayed non-pCR to NACT were included in the discovery cohort. Total RNA from pre-NACT core biopsies and paired surgical specimens were subjected to the Affymetrix Human Transcriptome Array. Gene set enrichment analysis (GSEA) was used to identify signal pathways and gene signatures associated with metastasis. The Cox proportional hazard model and Kaplan-Meier survival curves were employed to assess the prognostic value of the identified signature in two independent TNBC datasets included in Gene Expression Omnibus (GEO).

resultsThe epithelial-mesenchymal transition (EMT) pathway was markedly more enriched in pre- (NES = 1.92; p.adjust = 0.019) and post-NACT samples (NES = 2.02; p.adjust = 0.010) from patients who developed metastasis after NACT. A subset of 6 EMT genes including

conclusionExpression analysis of the 6-EMT gene signature at diagnosis may be of predictive value for metastasis in TNCB patients who did not achieve pCR to NACT and for patients treated with surgery in combination with adjuvant therapy.

Indexed as

distant metastasisepithelial–mesenchymal transitionneoadjuvant chemotherapytriple-negative breast cancer

Identifiers

PMID32753890
PMCPMC7342558
OpenAlexW3040273206

What OpenQuestion holds

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Registered trials

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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.