Evidence map›Paper›PMID 30311168›Full record

ArticleAnnals of surgical oncology2018

Novel MicroRNA-Based Risk Score Identified by Integrated Analyses to Predict Metastasis and Poor Prognosis in Breast Cancer.

Tstutomu Kawaguchi, Li Yan, Qianya Qi, Xuan Peng, Stephen B Edge, Jessica Young, Song Yao, Song Liu, Eigo Otsuji, Kazuaki Takabe

Abstract readValidation Study
In one paragraph

Article in Annals of surgical oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

29 citing papers in PubMed, 37 citations in OpenAlex.

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  13. Role of miRNA-19a in Cancer Diagnosis and Poor Prognosis.International journal of molecular sciences · 2021
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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

10 authors at 3 institutions in 2 countries.

Tstutomu KawaguchiDivision of Breast Surgery, Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Li YanDepartment of Biostatistics and Bioinformatics, University at Buffalo, The State University of New York Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY, USA.
Qianya QiDepartment of Biostatistics and Bioinformatics, University at Buffalo, The State University of New York Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY, USA.
Xuan PengDepartment of Biostatistics and Bioinformatics, University at Buffalo, The State University of New York Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY, USA.
Stephen B EdgeDivision of Breast Surgery, Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Jessica YoungDivision of Breast Surgery, Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Song YaoDepartment of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY, USA.
Song LiuDepartment of Biostatistics and Bioinformatics, University at Buffalo, The State University of New York Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY, USA.
Eigo OtsujiDepartment of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Kazuaki TakabeDivision of Breast Surgery, Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA. Kazuaki.Takabe@roswellpark.org.
University at Buffalo, State University of New York · USKyoto Prefectural University of Medicine · JPRoswell Park Comprehensive Cancer Center · US

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MARK G FRATTINI · 1985 to 2026
$116.6M
Sphingosine-1 Phosphate in Breast Cancer Progression and LymphangiogenesisR01CA160688 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI TAKABE, KAZUAKI · 2012 to 2016
$1.5M
NCI NIH HHS P30 CA016056NCI NIH HHS R01 CA160688NIH Office of the Director R01CA160688Susan G. Komen IIR12222224
6 · The paper itself

Abstract

backgroundThe use of biomarkers that allow early therapeutic intervention or intensive follow-up evaluation is expected to be a powerful means for reducing breast cancer mortality. MicroRNAs (miRNAs) are known to play major roles in cancer biology including metastasis. This study aimed to develop a novel miRNA risk score to predict patient survival and metastasis in breast cancer.

methodsAn integrated unbiased approach was applied to derive a composite risk score for prognosis based on miRNA expression in primary breast tumors in 1051 breast cancer patients from The Cancer Genome Atlas (TCGA). Further analysis of the risk score with metastasis/recurrence was performed using the TCGA data set and validated in a separate patient population using small RNA sequencing.

resultsThe three-miRNAs risk score (miR-19a, miR-93, and miR-106a) was developed using the TCGA cohort, which predicted poor prognosis (p = 0.0005) independently of known clinical risk factors. The prognostic value was validated in another three following independent cohorts: GSE19536 (p = 0.0009), GSE22220 (p = 0.0003), and the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) (p = 0.0023). The three-miRNAs risk score predicted bone recurrence in TCGA (p = 0.0052), and the findings were validated in another independent population of patients who experienced bone recurrence and age/stage-matched patients without any recurrence. The three-miRNAs risk score enriched multiple metastasis-related gene sets such as angiogenesis and epithelial mesenchymal transition in a gene-set-enrichment analysis.

conclusionsThe authors developed the novel miRNA-based risk score, which is a promising biomarker for prediction of worse survival and bone recurrence potential in breast cancer.

Indexed as

Biomarkers, TumorBone NeoplasmsBreast NeoplasmsCell Transformation, NeoplasticDatasets as TopicDisease ProgressionFemaleGene ExpressionHumansMicroRNAsNeoplasm MetastasisPrognosisRisk AssessmentROC CurveSurvival RateBiomarkers, TumorMicroRNAsMIRN106 microRNA, humanMIRN19A microRNA, humanMIRN93 microRNA, human

Identifiers

PMID30311168
PMCPMC6245576
OpenAlexW2897260570

What OpenQuestion holds

Textmetadata
LicenceTDM
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.