Evidence map›Paper›PMID 30704524›Full record

ArticleBreast cancer research : BCR2019

A subgroup of microRNAs defines PTEN-deficient, triple-negative breast cancer patients with poorest prognosis and alterations in RB1, MYC, and Wnt signaling.

Dong-Yu Wang, Deena M A Gendoo, Yaacov Ben-David, James R Woodgett, Eldad Zacksenhaus

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

27 citing papers in PubMed, 41 citations in OpenAlex.

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  11. [Expression of miR-4324 and its targeted gene Talin2 in breast cancer].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 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

5 authors at 5 institutions in 3 countries.

Dong-Yu WangToronto General Research Institute - University Health Network, 67 College Street, Rm. 407, Toronto, Ontario, M5G 2M1, Canada.
Deena M A GendooCentre for Computational Biology, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
Yaacov Ben-DavidThe Key laboratory of Chemistry for Natural Products of Guizhou Province and Chinese Academy of Sciences, Guiyang, 550014, Guizhou, China.
James R WoodgettLunenfeld-Tanenbaum Research Institute, Sinai Health System, 600 University Avenue, Toronto, ON, Canada.
Eldad ZacksenhausToronto General Research Institute - University Health Network, 67 College Street, Rm. 407, Toronto, Ontario, M5G 2M1, Canada. eldad.zacksenhaus@utoronto.ca.
Key Laboratory of Chemistry for Natural Products of Guizhou Province and Chinese Academy of Sciences · CNLunenfeld-Tanenbaum Research Institute · CAUniversity Health Network · CAUniversity of Birmingham · GBUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTriple-negative breast cancer (TNBC) represents a heterogeneous group of ER- and HER2-negative tumors with poor clinical outcome. We recently reported that Pten-loss cooperates with low expression of microRNA-145 to induce aggressive TNBC-like lesions in mice. To systematically identify microRNAs that cooperate with PTEN-loss to induce aggressive human BC, we screened for miRNAs whose expression correlated with PTEN mRNA levels and determined the prognostic power of each PTEN-miRNA pair alone and in combination with other miRs.

methodsPublically available data sets with mRNA, microRNA, genomics, and clinical outcome were interrogated to identify miRs that correlate with PTEN expression and predict poor clinical outcome. Alterations in genomic landscape and signaling pathways were identified in most aggressive TNBC subgroups. Connectivity mapping was used to predict response to therapy.

resultsIn TNBC, PTEN loss cooperated with reduced expression of hsa-miR-4324, hsa-miR-125b, hsa-miR-381, hsa-miR-145, and has-miR136, all previously implicated in metastasis, to predict poor prognosis. A subgroup of TNBC patients with PTEN-low and reduced expression of four or five of these miRs exhibited the worst clinical outcome relative to other TNBCs (hazard ratio (HR) = 3.91; P < 0.0001), and this was validated on an independent cohort (HR = 4.42; P = 0.0003). The PTEN-low/miR-low subgroup showed distinct oncogenic alterations as well as TP53 mutation, high RB1-loss signature and high MYC, PI3K, and β-catenin signaling. This lethal subgroup almost completely overlapped with TNBC patients selected on the basis of Pten-low and RB1 signature loss or β-catenin signaling-high. Connectivity mapping predicted response to inhibitors of the PI3K pathway.

conclusionsThis analysis identified microRNAs that define a subclass of highly lethal TNBCs that should be prioritized for aggressive therapy.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorBreastDatasets as TopicFemaleGene Expression ProfilingHumansKaplan-Meier EstimateMicroRNAsPatient SelectionPrecision MedicinePrognosisProto-Oncogene Proteins c-mycPTEN PhosphohydrolaseRetinoblastoma Binding ProteinsTriple Negative Breast NeoplasmsBiomarkers, TumorMicroRNAsMYC protein, humanProto-Oncogene Proteins c-mycPTEN PhosphohydrolasePTEN protein, humanRB1 protein, humanRetinoblastoma Binding ProteinsUbiquitin-Protein LigasesmicroRNAMYCPI3KPrognosisPTENRB1TherapyTNBCTP53WNT

Identifiers

PMID30704524
PMCPMC6357448
OpenAlexW2913293067

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.