Evidence map›Paper›PMID 29748761›Full record

ArticleBreast cancer research and treatment2018

Gene expression in triple-negative breast cancer in relation to survival.

Shuyang Wang, Alicia Beeghly-Fadiel, Qiuyin Cai, Hui Cai, Xingyi Guo, Liang Shi, Jie Wu, Fei Ye, Qingchao Qiu, Ying Zheng and 3 more

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

26 citing papers in PubMed.

  1. MGDB: a curated database for molecular glues.Nucleic acids research · 2026
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  19. [Expression of superoxide dismutase 2 in breast cancer and its clinical significance].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2020
    Article
  20. 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

13 authors.

Shuyang WangDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Vanderbilt-Ingram Cancer Center, Nashville, TN, USA.
Alicia Beeghly-FadielDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Vanderbilt-Ingram Cancer Center, Nashville, TN, USA. alicia.beeghly@vanderbilt.edu.ORCID http://orcid.org/0000-0001-9913-732X
Qiuyin CaiDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Vanderbilt-Ingram Cancer Center, Nashville, TN, USA.
Hui CaiDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Vanderbilt-Ingram Cancer Center, Nashville, TN, USA.
Xingyi GuoDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Vanderbilt-Ingram Cancer Center, Nashville, TN, USA.
Liang ShiShanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Jie WuDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Vanderbilt-Ingram Cancer Center, Nashville, TN, USA.
Fei YeDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Qingchao QiuDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Vanderbilt-Ingram Cancer Center, Nashville, TN, USA.
Ying ZhengShanghai Cancer Hospital, Fudan University, Shanghai, China.
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Vanderbilt-Ingram Cancer Center, Nashville, TN, USA.
Ping-Ping BaoShanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Xiao-Ou ShuDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Vanderbilt-Ingram Cancer Center, Nashville, TN, USA.

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STACIE B DUSETZINA · 1995 to 2026
$172.8M
Southern Community Cohort StudyR01CA092447 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BLOT, WILLIAM J., ZHENG, WEI · 2001 to 2015
$74.0M
TISSUE CoreP50CA098131 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PARK, BEN HO, PIETENPOL, JENNIFER A · 2003 to 2024
$48.7M
The Nashville Breast Health StudyR01CA100374 · NCI · VANDERBILT UNIVERSITY · PI ZHENG, WEI · 2004 to 2009
$4.2M
Breast Cancer Survival: Lifestyle and Genetic DeterminantsR01CA118229 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 2007 to 2010
$2.9M
NCI NIH HHS P30 CA068485NCI NIH HHS P50 CA098131NCI NIH HHS R01 CA092447NCI NIH HHS R01 CA100374NCI NIH HHS R01 CA118229NIH HHS P30 CA068485NIH HHS P50CA098131NIH HHS R01CA118229U.S. Department of Defense (US) DAMD 17-02-1-0607
6 · The paper itself

Abstract

purposeThe identification of biomarkers related to the prognosis of triple-negative breast cancer (TNBC) is critically important for improved understanding of the biology that drives TNBC progression.

methodsWe evaluated gene expression in total RNA isolated from formalin-fixed paraffin-embedded tumor samples using the NanoString nCounter assay for 469 TNBC cases from the Shanghai Breast Cancer Survival Study. We used Cox regression to quantify Hazard Ratios (HR) and corresponding confidence intervals (CI) for overall survival (OS) and disease-free survival (DFS) in models that included adjustment for breast cancer intrinsic subtype. Of 302 genes in our discovery analysis, 22 were further evaluated in relation to OS among 134 TNBC cases from the Nashville Breast Health Study and the Southern Community Cohort Study; 16 genes were further evaluated in relation to DFS in 335 TNBC cases from four gene expression omnibus datasets. Fixed-effect meta-analysis was used to combine results across data sources.

resultsTwofold higher expression of EOMES (HR 0.90, 95% CI 0.83-0.97), RASGRP1 (HR 0.89, 95% CI 0.82-0.97), and SOD2 (HR 0.80, 95% CI 0.66-0.96) was associated with better OS. Twofold higher expression of EOMES (HR 0.89, 95% CI 0.81-0.97) and RASGRP1 (HR 0.87, 95% CI 0.81-0.95) was also associated with better DFS. On the contrary, a doubling of FA2H (HR 1.14, 95% CI 1.06-1.22) and GSPT1 (HR 1.33, 95% CI 1.14-1.55) expression was associated with shorter DFS.

conclusionsWe identified five genes (EOMES, FA2H, GSPT1, RASGRP1, and SOD2) that may serve as potential prognostic biomarkers and/or therapeutic targets for TNBC.

Indexed as

Biomarkers, TumorGene ExpressionAdultAgedFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiddle AgedNeoplasm GradingNeoplasm StagingPopulation SurveillancePrognosisRegistriesSurvival AnalysisTriple Negative Breast NeoplasmsBiomarkers, TumorGene expressionProgressionSurvivalTNBCTriple-negative breast cancer

Identifiers

PMID29748761
PMCPMC7195858

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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.