Evidence map›Paper›PMID 26967387›Full record

ArticleOncotarget2016

MiR-148a functions to suppress metastasis and serves as a prognostic indicator in triple-negative breast cancer.

Xin Xu, Yun Zhang, Jeff Jasper, Erik Lykken, Peter B Alexander, Geoffrey J Markowitz, Donald P McDonnell, Qi-Jing Li, Xiao-Fan Wang

Abstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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  15. Copper metabolism as a unique vulnerability in cancer.Biochimica et biophysica acta. Molecular cell research · 2021
    Review
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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

9 authors.

Xin XuDepartment of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina, USA.
Yun ZhangDepartment of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina, USA.
Jeff JasperDepartment of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina, USA.
Erik LykkenDepartment of Immunology, Duke University Medical Center, Durham, North Carolina, USA.
Peter B AlexanderDepartment of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina, USA.
Geoffrey J MarkowitzDepartment of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina, USA.
Donald P McDonnellDepartment of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina, USA.
Qi-Jing LiDepartment of Immunology, Duke University Medical Center, Durham, North Carolina, USA.
Xiao-Fan WangDepartment of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina, USA.

Funding

CANCER BIOLOGY TRAINING GRANTT32CA059365 · NCI · DUKE UNIVERSITY · PI WANG, XIAO-FAN · 1993 to 2014
$4.4M
Basic Immunology Training ProgramT32AI052077 · NIAID · DUKE UNIVERSITY · PI KRANGEL, MICHAEL S · 2002 to 2024
$4.2M
The Roles of MicroRNAs in GlioblastomaR01CA164791 · NCI · DUKE UNIVERSITY · PI WANG, XIAO-FAN · 2012 to 2016
$1.6M
The role of TGF-beta in tumorigenesisR01CA151541 · NCI · DUKE UNIVERSITY · PI WANG, XIAO-FAN · 2010 to 2014
$1.5M
NCI NIH HHS R01 CA151541NCI NIH HHS R01 CA164791NCI NIH HHS T32 CA059365NIAID NIH HHS T32 AI052077
6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) presents a major challenge in the clinic due to its lack of reliable prognostic markers and targeted therapies. Accumulating evidence strongly supports the notion that microRNAs (miRNAs) are involved in tumorigenesis and could serve as biomarkers for diagnostic purposes. To identify miRNAs that functionally suppress metastasis of TNBC, we employed a concerted approach with selecting miRNAs that display differential expression profiles from bioinformatic analyses of breast cancer patient databases and validating top candidates with functional assays using breast cancer cell lines and mouse models. We have found that miR-148a exhibits properties as a tumor suppressor as its expression is inversely correlated with the ability of both human and mouse breast cancer cells to colonize the lung in mouse xenograft tumor models. Mechanistically, miR-148a appears to suppress the extravasation process of cancer cells, likely by targeting two genes WNT1 and NRP1 in a cell non-autonomous manner. Importantly, lower expression of miR-148a is detected in higher-grade tumor samples and correlated with increased likelihood to develop metastases and poor prognosis in subsets of breast cancer patients, particularly those with TNBC. Thus, miR-148a is functionally defined as a suppressor of breast cancer metastasis and may serve as a prognostic biomarker for this disease.

Indexed as

AnimalsApoptosisBiomarkers, TumorCell MovementCell ProliferationCell Transformation, NeoplasticFemaleGene Expression Regulation, NeoplasticGenes, Tumor SuppressorHumansLung NeoplasmsMiceMice, Inbred BALB CMice, NudeMicroRNAsNeoplasm InvasivenessBiomarkers, TumorMicroRNAsMIRN148 microRNA, humanNeuropilin-1Wnt1 ProteinWNT1 protein, humanextravasationmetastasismiR-148aprognosis biomarkertriple-negative breast cancer

Identifiers

PMID26967387
PMCPMC4991462

What OpenQuestion holds

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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.